Mobile Engineer Jobs in Hungary.
All active Mobile Engineer roles based in Hungary.
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Why Join Exadel
We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.
From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.
What powers it all? Our people are ambitious, collaborative, and constantly evolving.
About the Client
The leading provider of vehicle lifecycle solutions, with headquarters in Chicago, enables the companies that build, insure, and replace vehicles to power the next generation of transportation. Its platform delivers advanced mobile, artificial intelligence, and car technologies. It connects a network of 350+ insurance companies, 24,000+ repair facilities, hundreds of parts suppliers, and dozens of third-party data and service providers. The customer's collective solutions enhance productivity and help clients deliver better experiences for end consumers.
What You’ll Do
- Deliver best-in-industry models for detection of subrogation opportunities using the latest ML advancements and best software engineering practices
- Meet and collaborate with business stakeholders (customers, sales and product managers) to drive the development of new models and features based on
- Collaborate with data engineering and software engineering team to ensure a smooth flow of data across teams and APIs related to outbound subrogation
- Mentor junior ML engineers in the outbound subro team to form a high-performing team
What You Bring
- Deep understanding of ML lifecycle: development, evaluation, deployment, monitoring, and iteration
- Excellent communication skills; ability to explain complex technical concepts to non- technical stakeholders
- Hands-on experience in experiment design and model valuation
- Expertise with ML system design, model deployment, and production ML systems
- Experience in engineering production-grade GenAI features with robust validation, sanity checks, and structured outputs to mitigate hallucination and business risk
- Proficiency with AWS stack related to ML (e.g. Sagemaker, Lambda, Stepfunctions, IAM)
- Strong software engineering fundamentals and best practices (CICD, Test-Driven Development, Infrastructure as Code)
- Experience translating business objectives into technical roadmaps and deliverables
- Ability to balance technical excellence with business priorities and timelines
- Strong stakeholder management and cross-functional collaboration skills
Nice to have
Experience in subrogation, claims processing, insurance or financial technology
Legal & Hiring Information
- Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
- Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
- Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs
Your Benefits at Exadel
Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.
- International projects
- In-office, hybrid, or remote flexibility
- Medical healthcare
- Recognition program
- Ongoing learning & reimbursement
- Well-being program
- Team events & local benefits
- Sports compensation
- Referral bonuses
- Top-tier equipment provision
Exadel Culture
We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.
Ready to apply?
Apply to Exadel
Why Join Exadel
We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.
From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.
What powers it all? Our people are ambitious, collaborative, and constantly evolving.
About the Client
The leading provider of vehicle lifecycle solutions, with headquarters in Chicago, enables the companies that build, insure, and replace vehicles to power the next generation of transportation. Its platform delivers advanced mobile, artificial intelligence, and car technologies. It connects a network of 350+ insurance companies, 24,000+ repair facilities, hundreds of parts suppliers, and dozens of third-party data and service providers. The customer's collective solutions enhance productivity and help clients deliver better experiences for end consumers.
What You’ll Do
- Deliver best-in-industry models for detection of subrogation opportunities using the latest ML advancements and best software engineering practices
- Meet and collaborate with business stakeholders (customers, sales and product managers) to drive the development of new models and features based on
- Collaborate with data engineering and software engineering team to ensure a smooth flow of data across teams and APIs related to outbound subrogation
- Mentor junior ML engineers in the outbound subro team to form a high-performing team
What You Bring
- Deep understanding of ML lifecycle: development, evaluation, deployment, monitoring, and iteration
- Excellent communication skills; ability to explain complex technical concepts to non- technical stakeholders
- Hands-on experience in experiment design and model valuation
- Expertise with ML system design, model deployment, and production ML systems
- Experience in engineering production-grade GenAI features with robust validation, sanity checks, and structured outputs to mitigate hallucination and business risk
- Proficiency with AWS stack related to ML (e.g. Sagemaker, Lambda, Stepfunctions, IAM)
- Strong software engineering fundamentals and best practices (CICD, Test-Driven Development, Infrastructure as Code)
- Experience translating business objectives into technical roadmaps and deliverables
- Ability to balance technical excellence with business priorities and timelines
- Strong stakeholder management and cross-functional collaboration skills
Nice to have
Experience in subrogation, claims processing, insurance or financial technology
Legal & Hiring Information
- Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
- Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
- Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs
Your Benefits at Exadel
Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.
- International projects
- In-office, hybrid, or remote flexibility
- Medical healthcare
- Recognition program
- Ongoing learning & reimbursement
- Well-being program
- Team events & local benefits
- Sports compensation
- Referral bonuses
- Top-tier equipment provision
Exadel Culture
We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.
Ready to apply?
Apply to Exadel
Why Join Exadel
We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.
From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.
What powers it all? Our people are ambitious, collaborative, and constantly evolving.
About the Client
The leading provider of vehicle lifecycle solutions, with headquarters in Chicago, enables the companies that build, insure, and replace vehicles to power the next generation of transportation. Its platform delivers advanced mobile, artificial intelligence, and car technologies. It connects a network of 350+ insurance companies, 24,000+ repair facilities, hundreds of parts suppliers, and dozens of third-party data and service providers. The customer's collective solutions enhance productivity and help clients deliver better experiences for end consumers.
What You’ll Do
- Deliver best-in-industry models for detection of subrogation opportunities using the latest ML advancements and best software engineering practices
- Meet and collaborate with business stakeholders (customers, sales and product managers) to drive the development of new models and features based on
- Collaborate with data engineering and software engineering team to ensure a smooth flow of data across teams and APIs related to outbound subrogation
- Mentor junior ML engineers in the outbound subro team to form a high-performing team
What You Bring
- Deep understanding of ML lifecycle: development, evaluation, deployment, monitoring, and iteration
- Excellent communication skills; ability to explain complex technical concepts to non- technical stakeholders
- Hands-on experience in experiment design and model valuation
- Expertise with ML system design, model deployment, and production ML systems
- Experience in engineering production-grade GenAI features with robust validation, sanity checks, and structured outputs to mitigate hallucination and business risk
- Proficiency with AWS stack related to ML (e.g. Sagemaker, Lambda, Stepfunctions, IAM)
- Strong software engineering fundamentals and best practices (CICD, Test-Driven Development, Infrastructure as Code)
- Experience translating business objectives into technical roadmaps and deliverables
- Ability to balance technical excellence with business priorities and timelines
- Strong stakeholder management and cross-functional collaboration skills
Nice to have
Experience in subrogation, claims processing, insurance or financial technology
Legal & Hiring Information
- Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
- Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
- Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs
Your Benefits at Exadel
Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.
- International projects
- In-office, hybrid, or remote flexibility
- Medical healthcare
- Recognition program
- Ongoing learning & reimbursement
- Well-being program
- Team events & local benefits
- Sports compensation
- Referral bonuses
- Top-tier equipment provision
Exadel Culture
We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.
Ready to apply?
Apply to Exadel
Lead Machine Learning Engineer
Share this job
Why Join Exadel
We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.
From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.
What powers it all? Our people are ambitious, collaborative, and constantly evolving.
About the Client
The leading provider of vehicle lifecycle solutions, with headquarters in Chicago, enables the companies that build, insure, and replace vehicles to power the next generation of transportation. Its platform delivers advanced mobile, artificial intelligence, and car technologies. It connects a network of 350+ insurance companies, 24,000+ repair facilities, hundreds of parts suppliers, and dozens of third-party data and service providers. The customer's collective solutions enhance productivity and help clients deliver better experiences for end consumers.
What You’ll Do
- Deliver best-in-industry models for detection of subrogation opportunities using the latest ML advancements and best software engineering practices
- Meet and collaborate with business stakeholders (customers, sales and product managers) to drive the development of new models and features based on
- Collaborate with data engineering and software engineering team to ensure a smooth flow of data across teams and APIs related to outbound subrogation
- Mentor junior ML engineers in the outbound subro team to form a high-performing team
What You Bring
- Deep understanding of ML lifecycle: development, evaluation, deployment, monitoring, and iteration
- Excellent communication skills; ability to explain complex technical concepts to non- technical stakeholders
- Hands-on experience in experiment design and model valuation
- Expertise with ML system design, model deployment, and production ML systems
- Experience in engineering production-grade GenAI features with robust validation, sanity checks, and structured outputs to mitigate hallucination and business risk
- Proficiency with AWS stack related to ML (e.g. Sagemaker, Lambda, Stepfunctions, IAM)
- Strong software engineering fundamentals and best practices (CICD, Test-Driven Development, Infrastructure as Code)
- Experience translating business objectives into technical roadmaps and deliverables
- Ability to balance technical excellence with business priorities and timelines
- Strong stakeholder management and cross-functional collaboration skills
Nice to have
Experience in subrogation, claims processing, insurance or financial technology
Legal & Hiring Information
- Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
- Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
- Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs
Your Benefits at Exadel
Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.
- International projects
- In-office, hybrid, or remote flexibility
- Medical healthcare
- Recognition program
- Ongoing learning & reimbursement
- Well-being program
- Team events & local benefits
- Sports compensation
- Referral bonuses
- Top-tier equipment provision
Exadel Culture
We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.
Ready to apply?
Apply to Exadel Inc (Website)
We are looking for a Senior/Lead ML Engineer to join us at Exadel. This role works closely with data scientists, software engineers, and subject matter experts in different business areas to build production systems capable of processing multi-document PDFs, with automated document type detection and field extraction at scale.
Why Join Exadel
We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.
From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.
What powers it all? Our people are ambitious, collaborative, and constantly evolving.
About the Client
The leading provider of vehicle lifecycle solutions, with headquarters in Chicago, enables the companies that build, insure, and replace vehicles to power the next generation of transportation. Its platform delivers advanced mobile, artificial intelligence, and car technologies. It connects a network of 350+ insurance companies, 24,000+ repair facilities, hundreds of parts suppliers, and dozens of third-party data and service providers. The customer's collective solutions enhance productivity and help clients deliver better experiences for end consumers.
What You’ll Do
- Design and implement end-to-end document intelligence pipelines on AWS
- Develop and optimize ML models for document classification, segmentation, and field extraction
- Build scalable data processing systems handling PDFs up to 2000 pages
- Collaborate with subject matter experts to create and refine requirements for extraction
- Own features from research through production deployment and monitoring
- Establish evaluation frameworks and quality metrics for extraction accuracy
What You Bring
- Advanced knowledge of Python (native, Pandas, ScikitLearn, Tensorflow or Pytorch, PyStats, Pydantic)
- Experience with AWS tools for ML Engineering and ML deployment (Sagemaker, Lambda, Cloudformation/CDK, Step Functions)
- Advanced knowledge of SQL and Data Modeling
- Experience with GenAI for document intelligence, including prompt engineering, RAG (Retrieval Augmented Generation), multi-modal models (vision + text), and production deployment using AWS Bedrock or Azure OpenAI APIs
- Experience in experiment design (power analysis and hypothesis testing)
- Proficiency in both written and verbal communication, required for a remote and largely asynchronous work environment
- Demonstrated capacity to clearly and concisely communicate complex technical problems and propose iterative solutions
- Experience owning a feature from concept to production, including proposal, discussion, and execution
Nice to have
- Experience with document processing tools (AWS Textract, Azure Document Intelligence, or similar OCR/layout detection systems)
- Experience with PDF and Image processing libraries (e.g. PyMuPDF, opnecv, pillow)
- Experience in Machine Learning/ Data Science (e.g., ML algorithm selection, feature engineering, model training, hyperparameter tuning, supervised and unsupervised learning implementation, building a model pipelines, using Machine Learning tools/libraries/frameworks)
- Experience working with AWS big data technologies (Redshift, S3, EMR, Glue, etc.)
English level
Upper-intermediate
Legal & Hiring Information
- Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
- Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
- Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs
Your Benefits at Exadel
Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.
- International projects
- In-office, hybrid, or remote flexibility
- Medical healthcare
- Recognition program
- Ongoing learning & reimbursement
- Well-being program
- Team events & local benefits
- Sports compensation
- Referral bonuses
- Top-tier equipment provision
Exadel Culture
We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.
Ready to apply?
Apply to Exadel
We are looking for a Senior/Lead ML Engineer to join us at Exadel. This role works closely with data scientists, software engineers, and subject matter experts in different business areas to build production systems capable of processing multi-document PDFs, with automated document type detection and field extraction at scale.
Why Join Exadel
We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.
From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.
What powers it all? Our people are ambitious, collaborative, and constantly evolving.
About the Client
The leading provider of vehicle lifecycle solutions, with headquarters in Chicago, enables the companies that build, insure, and replace vehicles to power the next generation of transportation. Its platform delivers advanced mobile, artificial intelligence, and car technologies. It connects a network of 350+ insurance companies, 24,000+ repair facilities, hundreds of parts suppliers, and dozens of third-party data and service providers. The customer's collective solutions enhance productivity and help clients deliver better experiences for end consumers.
What You’ll Do
- Design and implement end-to-end document intelligence pipelines on AWS
- Develop and optimize ML models for document classification, segmentation, and field extraction
- Build scalable data processing systems handling PDFs up to 2000 pages
- Collaborate with subject matter experts to create and refine requirements for extraction
- Own features from research through production deployment and monitoring
- Establish evaluation frameworks and quality metrics for extraction accuracy
What You Bring
- Advanced knowledge of Python (native, Pandas, ScikitLearn, Tensorflow or Pytorch, PyStats, Pydantic)
- Experience with AWS tools for ML Engineering and ML deployment (Sagemaker, Lambda, Cloudformation/CDK, Step Functions)
- Advanced knowledge of SQL and Data Modeling
- Experience with GenAI for document intelligence, including prompt engineering, RAG (Retrieval Augmented Generation), multi-modal models (vision + text), and production deployment using AWS Bedrock or Azure OpenAI APIs
- Experience in experiment design (power analysis and hypothesis testing)
- Proficiency in both written and verbal communication, required for a remote and largely asynchronous work environment
- Demonstrated capacity to clearly and concisely communicate complex technical problems and propose iterative solutions
- Experience owning a feature from concept to production, including proposal, discussion, and execution
Nice to have
- Experience with document processing tools (AWS Textract, Azure Document Intelligence, or similar OCR/layout detection systems)
- Experience with PDF and Image processing libraries (e.g. PyMuPDF, opnecv, pillow)
- Experience in Machine Learning/ Data Science (e.g., ML algorithm selection, feature engineering, model training, hyperparameter tuning, supervised and unsupervised learning implementation, building a model pipelines, using Machine Learning tools/libraries/frameworks)
- Experience working with AWS big data technologies (Redshift, S3, EMR, Glue, etc.)
English level
Upper-intermediate
Legal & Hiring Information
- Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
- Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
- Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs
Your Benefits at Exadel
Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.
- International projects
- In-office, hybrid, or remote flexibility
- Medical healthcare
- Recognition program
- Ongoing learning & reimbursement
- Well-being program
- Team events & local benefits
- Sports compensation
- Referral bonuses
- Top-tier equipment provision
Exadel Culture
We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.
Ready to apply?
Apply to Exadel
Senior/Lead Machine Learning Engineer
Share this job
We are looking for a Senior/Lead ML Engineer to join us at Exadel. This role works closely with data scientists, software engineers, and subject matter experts in different business areas to build production systems capable of processing multi-document PDFs, with automated document type detection and field extraction at scale.
Why Join Exadel
We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.
From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.
What powers it all? Our people are ambitious, collaborative, and constantly evolving.
About the Client
The leading provider of vehicle lifecycle solutions, with headquarters in Chicago, enables the companies that build, insure, and replace vehicles to power the next generation of transportation. Its platform delivers advanced mobile, artificial intelligence, and car technologies. It connects a network of 350+ insurance companies, 24,000+ repair facilities, hundreds of parts suppliers, and dozens of third-party data and service providers. The customer's collective solutions enhance productivity and help clients deliver better experiences for end consumers.
What You’ll Do
- Design and implement end-to-end document intelligence pipelines on AWS
- Develop and optimize ML models for document classification, segmentation, and field extraction
- Build scalable data processing systems handling PDFs up to 2000 pages
- Collaborate with subject matter experts to create and refine requirements for extraction
- Own features from research through production deployment and monitoring
- Establish evaluation frameworks and quality metrics for extraction accuracy
What You Bring
- Advanced knowledge of Python (native, Pandas, ScikitLearn, Tensorflow or Pytorch, PyStats, Pydantic)
- Experience with AWS tools for ML Engineering and ML deployment (Sagemaker, Lambda, Cloudformation/CDK, Step Functions)
- Advanced knowledge of SQL and Data Modeling
- Experience with GenAI for document intelligence, including prompt engineering, RAG (Retrieval Augmented Generation), multi-modal models (vision + text), and production deployment using AWS Bedrock or Azure OpenAI APIs
- Experience in experiment design (power analysis and hypothesis testing)
- Proficiency in both written and verbal communication, required for a remote and largely asynchronous work environment
- Demonstrated capacity to clearly and concisely communicate complex technical problems and propose iterative solutions
- Experience owning a feature from concept to production, including proposal, discussion, and execution
Nice to have
- Experience with document processing tools (AWS Textract, Azure Document Intelligence, or similar OCR/layout detection systems)
- Experience with PDF and Image processing libraries (e.g. PyMuPDF, opnecv, pillow)
- Experience in Machine Learning/ Data Science (e.g., ML algorithm selection, feature engineering, model training, hyperparameter tuning, supervised and unsupervised learning implementation, building a model pipelines, using Machine Learning tools/libraries/frameworks)
- Experience working with AWS big data technologies (Redshift, S3, EMR, Glue, etc.)
English level
Upper-intermediate
Legal & Hiring Information
- Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
- Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
- Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs
Your Benefits at Exadel
Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.
- International projects
- In-office, hybrid, or remote flexibility
- Medical healthcare
- Recognition program
- Ongoing learning & reimbursement
- Well-being program
- Team events & local benefits
- Sports compensation
- Referral bonuses
- Top-tier equipment provision
Exadel Culture
We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.
Ready to apply?
Apply to Exadel Inc (Website)
We are looking for a Senior ML Engineer to join us at Exadel. This role works closely with data scientists, software engineers, and subject matter experts in different business areas to build production systems capable of processing multi-document PDFs, with automated document type detection and field extraction at scale.
Why Join Exadel
We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks. From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.
What powers it all? Our people are ambitious, collaborative, and constantly evolving.
About the Client
The leading provider of vehicle lifecycle solutions, with headquarters in Chicago, enables the companies that build, insure, and replace vehicles to power the next generation of transportation. Its platform delivers advanced mobile, artificial intelligence, and car technologies. It connects a network of 350+ insurance companies, 24,000+ repair facilities, hundreds of parts suppliers, and dozens of third-party data and service providers. The customer's collective solutions enhance productivity and help clients deliver better experiences for end consumers.
What You’ll Do
- Design and implement end-to-end document intelligence pipelines on AWS
- Develop and optimize ML models for document classification,segmentation, and field extraction
- Build scalable data processing systems handling PDFs up to 2000 pages
- Collaborate with subject matter experts to create and refine requirements for extraction
- Own features from research through production deployment and monitoring
- Establish evaluation frameworks and quality metrics for extraction accuracy
What You Bring
- Advanced knowledge of Python (native, Pandas, ScikitLearn, Tensorflow or Pytorch, PyStats, Pydantic)
- Experience with AWS tools for ML Engineering and ML deployment(Sag
- emaker, Lambda, Cloudformation/CDK, Step Functions)
- Advanced knowledge of SQL and Data Modeling
- Experience with GenAI for document intelligence, including prompt engineering, RAG (Retrieval Augmented Generation), multi-modal models (vision + text), and production deployment using AWS Bedrock or Azure OpenAI APIs
- Experience in experiment design (power analysis and hypothesis testing)
- Proficiency in both written and verbal communication, required for a remote and largely asynchronous work environment
- Demonstrated capacity to clearly and concisely communicate complex technical problems and propose iterative solutions
- Experience owning a feature from concept to production, including proposal, discussion, and execution
Nice to have
- Experience with document processing tools (AWS Textract, Azure, Document Intelligence, or similar OCR/layout detection systems)
- Experience with PDF and Image processing libraries (e.g. PyMuPDF, opnecv, pillow)
- Experience in Machine Learning/ Data Science (e.g., ML algorithm selection, feature engineering, model training, hyperparameter tuning, supervised and unsupervised learning implementation, building a model pipelines, using Machine Learning tools/libraries/frameworks)
- Experience working with AWS big data technologies (Redshift, S3, EMR, Glue, etc.)
English level
Upper-intermediate
Legal & Hiring Information
- Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
- Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
- Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs
Your Benefits at Exadel
Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.
- International projects
- In-office, hybrid, or remote flexibility
- Medical healthcare
- Recognition program
- Ongoing learning & reimbursement
- Well-being program
- Team events & local benefits
- Sports compensation
- Referral bonuses
- Top-tier equipment provision
Exadel Culture
We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.
Ready to apply?
Apply to Exadel
We are looking for a Senior ML Engineer to join us at Exadel. This role works closely with data scientists, software engineers, and subject matter experts in different business areas to build production systems capable of processing multi-document PDFs, with automated document type detection and field extraction at scale.
Why Join Exadel
We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks. From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.
What powers it all? Our people are ambitious, collaborative, and constantly evolving.
About the Client
The leading provider of vehicle lifecycle solutions, with headquarters in Chicago, enables the companies that build, insure, and replace vehicles to power the next generation of transportation. Its platform delivers advanced mobile, artificial intelligence, and car technologies. It connects a network of 350+ insurance companies, 24,000+ repair facilities, hundreds of parts suppliers, and dozens of third-party data and service providers. The customer's collective solutions enhance productivity and help clients deliver better experiences for end consumers.
What You’ll Do
- Design and implement end-to-end document intelligence pipelines on AWS
- Develop and optimize ML models for document classification,segmentation, and field extraction
- Build scalable data processing systems handling PDFs up to 2000 pages
- Collaborate with subject matter experts to create and refine requirements for extraction
- Own features from research through production deployment and monitoring
- Establish evaluation frameworks and quality metrics for extraction accuracy
What You Bring
- Advanced knowledge of Python (native, Pandas, ScikitLearn, Tensorflow or Pytorch, PyStats, Pydantic)
- Experience with AWS tools for ML Engineering and ML deployment(Sag
- emaker, Lambda, Cloudformation/CDK, Step Functions)
- Advanced knowledge of SQL and Data Modeling
- Experience with GenAI for document intelligence, including prompt engineering, RAG (Retrieval Augmented Generation), multi-modal models (vision + text), and production deployment using AWS Bedrock or Azure OpenAI APIs
- Experience in experiment design (power analysis and hypothesis testing)
- Proficiency in both written and verbal communication, required for a remote and largely asynchronous work environment
- Demonstrated capacity to clearly and concisely communicate complex technical problems and propose iterative solutions
- Experience owning a feature from concept to production, including proposal, discussion, and execution
Nice to have
- Experience with document processing tools (AWS Textract, Azure, Document Intelligence, or similar OCR/layout detection systems)
- Experience with PDF and Image processing libraries (e.g. PyMuPDF, opnecv, pillow)
- Experience in Machine Learning/ Data Science (e.g., ML algorithm selection, feature engineering, model training, hyperparameter tuning, supervised and unsupervised learning implementation, building a model pipelines, using Machine Learning tools/libraries/frameworks)
- Experience working with AWS big data technologies (Redshift, S3, EMR, Glue, etc.)
English level
Upper-intermediate
Legal & Hiring Information
- Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
- Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
- Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs
Your Benefits at Exadel
Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.
- International projects
- In-office, hybrid, or remote flexibility
- Medical healthcare
- Recognition program
- Ongoing learning & reimbursement
- Well-being program
- Team events & local benefits
- Sports compensation
- Referral bonuses
- Top-tier equipment provision
Exadel Culture
We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.
Ready to apply?
Apply to Exadel
We are looking for a Senior ML Engineer to join us at Exadel. This role works closely with data scientists, software engineers, and subject matter experts in different business areas to build production systems capable of processing multi-document PDFs, with automated document type detection and field extraction at scale.
Why Join Exadel
We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks. From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.
What powers it all? Our people are ambitious, collaborative, and constantly evolving.
About the Client
The leading provider of vehicle lifecycle solutions, with headquarters in Chicago, enables the companies that build, insure, and replace vehicles to power the next generation of transportation. Its platform delivers advanced mobile, artificial intelligence, and car technologies. It connects a network of 350+ insurance companies, 24,000+ repair facilities, hundreds of parts suppliers, and dozens of third-party data and service providers. The customer's collective solutions enhance productivity and help clients deliver better experiences for end consumers.
What You’ll Do
- Design and implement end-to-end document intelligence pipelines on AWS
- Develop and optimize ML models for document classification,segmentation, and field extraction
- Build scalable data processing systems handling PDFs up to 2000 pages
- Collaborate with subject matter experts to create and refine requirements for extraction
- Own features from research through production deployment and monitoring
- Establish evaluation frameworks and quality metrics for extraction accuracy
What You Bring
- Advanced knowledge of Python (native, Pandas, ScikitLearn, Tensorflow or Pytorch, PyStats, Pydantic)
- Experience with AWS tools for ML Engineering and ML deployment(Sag
- emaker, Lambda, Cloudformation/CDK, Step Functions)
- Advanced knowledge of SQL and Data Modeling
- Experience with GenAI for document intelligence, including prompt engineering, RAG (Retrieval Augmented Generation), multi-modal models (vision + text), and production deployment using AWS Bedrock or Azure OpenAI APIs
- Experience in experiment design (power analysis and hypothesis testing)
- Proficiency in both written and verbal communication, required for a remote and largely asynchronous work environment
- Demonstrated capacity to clearly and concisely communicate complex technical problems and propose iterative solutions
- Experience owning a feature from concept to production, including proposal, discussion, and execution
Nice to have
- Experience with document processing tools (AWS Textract, Azure, Document Intelligence, or similar OCR/layout detection systems)
- Experience with PDF and Image processing libraries (e.g. PyMuPDF, opnecv, pillow)
- Experience in Machine Learning/ Data Science (e.g., ML algorithm selection, feature engineering, model training, hyperparameter tuning, supervised and unsupervised learning implementation, building a model pipelines, using Machine Learning tools/libraries/frameworks)
- Experience working with AWS big data technologies (Redshift, S3, EMR, Glue, etc.)
English level
Upper-intermediate
Legal & Hiring Information
- Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
- Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
- Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs
Your Benefits at Exadel
Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.
- International projects
- In-office, hybrid, or remote flexibility
- Medical healthcare
- Recognition program
- Ongoing learning & reimbursement
- Well-being program
- Team events & local benefits
- Sports compensation
- Referral bonuses
- Top-tier equipment provision
Exadel Culture
We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.
Ready to apply?
Apply to Exadel
Senior/Lead Machine Learning Engineer
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We are looking for a Senior ML Engineer to join us at Exadel. This role works closely with data scientists, software engineers, and subject matter experts in different business areas to build production systems capable of processing multi-document PDFs, with automated document type detection and field extraction at scale.
Why Join Exadel
We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks. From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.
What powers it all? Our people are ambitious, collaborative, and constantly evolving.
About the Client
The leading provider of vehicle lifecycle solutions, with headquarters in Chicago, enables the companies that build, insure, and replace vehicles to power the next generation of transportation. Its platform delivers advanced mobile, artificial intelligence, and car technologies. It connects a network of 350+ insurance companies, 24,000+ repair facilities, hundreds of parts suppliers, and dozens of third-party data and service providers. The customer's collective solutions enhance productivity and help clients deliver better experiences for end consumers.
What You’ll Do
- Design and implement end-to-end document intelligence pipelines on AWS
- Develop and optimize ML models for document classification,segmentation, and field extraction
- Build scalable data processing systems handling PDFs up to 2000 pages
- Collaborate with subject matter experts to create and refine requirements for extraction
- Own features from research through production deployment and monitoring
- Establish evaluation frameworks and quality metrics for extraction accuracy
What You Bring
- Advanced knowledge of Python (native, Pandas, ScikitLearn, Tensorflow or Pytorch, PyStats, Pydantic)
- Experience with AWS tools for ML Engineering and ML deployment(Sag
- emaker, Lambda, Cloudformation/CDK, Step Functions)
- Advanced knowledge of SQL and Data Modeling
- Experience with GenAI for document intelligence, including prompt engineering, RAG (Retrieval Augmented Generation), multi-modal models (vision + text), and production deployment using AWS Bedrock or Azure OpenAI APIs
- Experience in experiment design (power analysis and hypothesis testing)
- Proficiency in both written and verbal communication, required for a remote and largely asynchronous work environment
- Demonstrated capacity to clearly and concisely communicate complex technical problems and propose iterative solutions
- Experience owning a feature from concept to production, including proposal, discussion, and execution
Nice to have
- Experience with document processing tools (AWS Textract, Azure, Document Intelligence, or similar OCR/layout detection systems)
- Experience with PDF and Image processing libraries (e.g. PyMuPDF, opnecv, pillow)
- Experience in Machine Learning/ Data Science (e.g., ML algorithm selection, feature engineering, model training, hyperparameter tuning, supervised and unsupervised learning implementation, building a model pipelines, using Machine Learning tools/libraries/frameworks)
- Experience working with AWS big data technologies (Redshift, S3, EMR, Glue, etc.)
English level
Upper-intermediate
Legal & Hiring Information
- Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
- Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
- Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs
Your Benefits at Exadel
Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.
- International projects
- In-office, hybrid, or remote flexibility
- Medical healthcare
- Recognition program
- Ongoing learning & reimbursement
- Well-being program
- Team events & local benefits
- Sports compensation
- Referral bonuses
- Top-tier equipment provision
Exadel Culture
We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.
Ready to apply?
Apply to Exadel Inc (Website)
Sportsbook - Frontend QA Engineer (Manual)
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Are you an experienced QA Engineer ready for your next challenge? Our Product Development organisation spans across 4+ locations, with the most creative teams in the industry! If you are passionate about the latest technologies and can handle mission-critical responsibilities, then this is the role for you!
The Wow
We are currently looking for a QA Engineer to help us build and support our Brands quality. As part of an end-to-end team, you will be applying your testing skills to cover a wide range of scenarios involving commercial and regulatory components, making sure no bugs reach our production environment.
Much like a rollercoaster, life at Betsson Group is fast-paced, full of twists and turns, and always exciting. With more than 2,800 colleagues representing over 75 nationalities across a global network of offices - including 1,500 at our operational headquarters in Malta - every day brings new challenges and opportunities to grow. It may not be for the faint-hearted, but if you thrive on innovation, enjoy pushing boundaries and want to be part of a diverse, international team, then you’ll fit right in at Betsson.
A taster of what you will be involved with:
- Develop and Maintain Test Plans: Create comprehensive test plans and test cases to ensure the delivery of high-quality software
- Collaborate Across Teams: Work closely with cross-functional teams to embed quality practices throughout the development lifecycle and contribute to quality-focused initiatives
- Manual Testing: Conduct detailed manual testing to validate software functionality, performance, and user experience
- Monitor Quality Standards: Track and ensure adherence to quality requirements during development and support the team in identifying and resolving defects early
- Documentation and Reporting: Document test results, maintain issue tracking, and communicate findings effectively to stakeholders
- Support: Assist in ensuring quality gates are met and support the team in maintaining high-quality release standards
What we are looking for
- 2+ years of experience in Quality Assurance or a related role, with a focus on manual testing
- Solid understanding of quality methodologies, best practices, and techniques for effective test coverage
- Familiarity with test management tools like TestRail for organizing and tracking test cases
- Experience using issue tracking tools like JIRA and documentation tools like Confluence
- A self-starter mindset, strong analytical skills, and a positive “can-do” attitude.
Are you an experienced QA Engineer ready for your next challenge? Our Product Development organisation spans across 4+ locations, with the most creative teams in the industry! If you are passionate about the latest technologies and can handle mission-critical responsibilities, then this is the role for you!
The Wow
We are currently looking for a QA Engineer to help us build and support our Brands quality. As part of an end-to-end team, you will be applying your testing skills to cover a wide range of scenarios involving commercial and regulatory components, making sure no bugs reach our production environment.
Much like a rollercoaster, life at Betsson Group is fast-paced, full of twists and turns, and always exciting. With more than 2,800 colleagues representing over 75 nationalities across a global network of offices - including 1,500 at our operational headquarters in Malta - every day brings new challenges and opportunities to grow. It may not be for the faint-hearted, but if you thrive on innovation, enjoy pushing boundaries and want to be part of a diverse, international team, then you’ll fit right in at Betsson.
A taster of what you will be involved with:
- Develop and Maintain Test Plans: Create comprehensive test plans and test cases to ensure the delivery of high-quality software
- Collaborate Across Teams: Work closely with cross-functional teams to embed quality practices throughout the development lifecycle and contribute to quality-focused initiatives
- Manual Testing: Conduct detailed manual testing to validate software functionality, performance, and user experience
- Monitor Quality Standards: Track and ensure adherence to quality requirements during development and support the team in identifying and resolving defects early
- Documentation and Reporting: Document test results, maintain issue tracking, and communicate findings effectively to stakeholders
- Support: Assist in ensuring quality gates are met and support the team in maintaining high-quality release standards
Extra awesome
- A strong passion for testing and improving product quality
- Exposure to Behavior-Driven Development (BDD) practices
- ISTQB Certification or equivalent qualification in software testing
- Familiarity with online gambling platforms, particularly sports betting applications
- Experience in Frontend Test automation framework
- Experience with frontend frameworks like Angular is a plus
What we offer
- Fitness-wellness allowance 🧗♂️
- Company mobile phone for private use with 100 GB 📱
- Annual HUF devaluation compensation 💡
- Hybrid model: 3 days in the office 🏢 & 2 days from home 🏠
- Private Health Insurance 🩺
- Career development 📈
- Technical and soft-skill training opportunities 🎓
- Breakfast, fruits & lunch 🍎
- Team building events 🥳
Challenge accepted?
By submitting your application, you understand that your personal data will be processed as set out in our Privacy Policy
Ready to apply?
Apply to Betsson Group
Brand Experience - QA Engineer
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We are looking for a highly skilled QA Engineer to join our Brand Experience (BX) area. This role takes a holistic approach to Quality Assurance – from functional testing to automation engineering. You will be involved in designing and executing test cases, ranging from manual testing to writing end-to-end and integration testing with our test automation framework.
Writing and maintaining automated tests is an important part of this role - but it’s not the whole story. You can have the chance to get involved in evolving our automation frameworks, improving CI/CD processes, and shaping how quality is approached across multiple brands. There’s real room to grow into these areas over time, with increasing ownership and impact as you develop within the team.
You will work closely with other Developers, Tech Leads, Architects and Product teams to drive a strong Quality Engineering culture. This is a role for QA engineers who want to understand systems end-to-end, put themselves in the customer’s shoes and drive quality on all fronts.
If you enjoy problem-solving, automation, and working in a modern engineering environment — this is the challenge for you.
The Wow
Much like a rollercoaster, life at Betsson Group is fast-paced, full of twists and turns, and always exciting. With more than 2,800 colleagues representing over 75 nationalities across a global network of offices - including 1,500 at our operational headquarters in Malta - every day brings new challenges and opportunities to grow. It may not be for the faint-hearted, but if you thrive on innovation, enjoy pushing boundaries and want to be part of a diverse, international team, then you’ll fit right in at Betsson.
A taste of what you will be doing
- Create and execute testing scenarios for manual and functional testing on our products using available tools such as physical testing devices and BrowserStack, across multiple platforms
- Design, implement, and maintain end-to-end test suites using JavaScript/TypeScript with Playwright.
- Create and optimise UI and integration tests that support a multi-brand, multi-jurisdiction ecosystem.
- Participate in development lifecycle activities: refinements, technical design discussions, architecture reviews, and quality gate definition.
- Implement and maintain test data strategies, mocks, stubs, and service virtualization where appropriate.
- Participate in the identification and troubleshooting of issues across frontend, API, and integrations.
- Collaborate with engineering teams to improve testability, observability, and debugging capabilities.
- Use dashboards and reporting tools (Allure, Grafana, Kibana, OpenSearch, etc.) to analyse failures, detect patterns, and improve reliability.
- Drive a quality-first mindset, advocating for automation, engineering excellence, and continuous improvement across BX.
- Mentor and support other QA Engineers and Developers in quality best practices, shift-left testing mindset, tooling, and design
What we are looking for:
- Strong experience writing and executing test scenarios, covering technical and product requirements, identifying pitfalls and edge cases, to ensure high confidence in our Releases.
- Hands-on experience with Playwright, or equivalent automation frameworks (Cypress, Selenium, WebdriverIO) using JavaScript/TypeScript.
- Solid understanding of test strategies, including mocking, isolation, reliability improvements, and root-cause analysis.
- Proactive ownership mindset, focused on continuous improvement and solving problems at their root.
- Excellent communication skills; ability to explain technical concepts and mentor team members.
About You:
You are someone who thinks like an engineer, not a test executor. You enjoy tackling quality from different perspectives – how the real user perceives our product, thinking at scale and automating scenarios for faster, more robust product iterations. You enjoy understanding systems, and solving complex quality challenges. You bring a strong sense of ownership, curiosity, and attention to detail, and you’re always looking for opportunities to elevate quality through automation and engineering.
Bonus points for:
- Experience working with microfrontends, component libraries, or distributed frontend architectures.
- Clear understanding of all levels of functional testing, including Unit Testing.
- Exposure to non-functional testing, specifically Performance Testing using tools such as K6 or JMeter.
- Knowledge of contract testing (Pact or similar) is considered an asset.
- Exposure to TDD practices.
- Practical experience building and maintaining CI/CD workflows using tools such as GitHub Actions or TeamCity.
What we offer
- Fitness-wellness allowance 🧗♂️
- Company mobile phone for private use with 100 GB 📱
- Annual HUF devaluation compensation 💡
- Hybrid model: 3 days in the office 🏢 & 2 days from home 🏠
- Private Health Insurance 🩺
- Career development 📈
- Technical and soft-skill training opportunities 🎓
- Breakfast, fruits & lunch 🍎
- Team building events 🥳
Challenge Accepted?
By submitting your application, you understand that your personal data will be processed as set out in our Privacy Policy
Ready to apply?
Apply to Betsson Group
Sportsbook - Backend Software Engineer
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The Sportsbook Area with Product Development is now hiring! We have a world-class Sportsbook, developed in-house by our dedicated Sportsbook tech team and growing at a very rapid rate, expanding not only in new markets but also as a B2B product. Having our product available in different parts of the world and offering sports all around the world requires to have support around the clock. Our Product Development organisation is truly Global with cross functional teams spanning 5 Tech Hubs. These can be found in Malta, Budapest, Stockholm, Tallinn and Athens.
The Wow
Much like a rollercoaster, life at Betsson Group is fast-paced, full of twists and turns, and always exciting. With more than 2,800 colleagues representing over 75 nationalities across a global network of offices - including 1,500 at our operational headquarters in Malta - every day brings new challenges and opportunities to grow. It may not be for the faint-hearted, but if you thrive on innovation, enjoy pushing boundaries and want to be part of a diverse, international team, then you’ll fit right in at Betsson.
Our Sportsbook Platform is ours – from our Architecture to our Trading teams – we have an in-house platform which hosts our brands offering Sportsbetting for our customers. From the tools our traders use to the cutting edge features our customers use to bet on various sports – our teams are the backbone to making this happen! Our aim is to create the best performance, functionality and user experience in the iGaming industry! As part of our Sportsbook tech team – a high performance, throughout and availability product serving many brands (20+), you will be key in ensuring that the team delivers the required business value.
You are good at
- .NET/C#
- .NET Core
- Interacting with REST APIs
- SQL Server, writing queries and tuning performance
- Communicating in English
- Agile development
- Unit testing frameworks
- Collaborating and knowledge sharing
Extra awesome
- Implementing distributed and multi-tier/micro-service systems
- Experience with cloud computing services (eg. AWS, Azure)
- Experience with Containerized applications / Docker / Kubernetes
A flavour of what you'll be doing
You will be part of an end-to-end agile team with a strong feature focus, consisting of developers, QA engineers and UX specialists. Team members are expected to be involved in all aspects of software development from making sure that the architecture and design is as good as we can make it, to writing code, unit and end-to-end tests and manage our data models.
You will work both on designing and implementing new features as well as analyzing the system and improve architecture and technical excellence.
What we offer
- Fitness-wellness allowance 🧗♂️
- Company mobile phone for private use with 100 GB 📱
- Annual HUF devaluation compensation 💡
- Hybrid model: 3 days in the office 🏢 & 2 days from home 🏠
- Private Health Insurance 🩺
- Career development 📈
- Technical and soft-skill training opportunities 🎓
- Breakfast, fruits & lunch 🍎
- Team building events 🥳
Challenge accepted?
By submitting your application, you understand that your personal data will be processed as set out in our Privacy Policy
Ready to apply?
Apply to Betsson Group
Realize your potential by joining the leading performance-driven advertising company!
As a Solutions Engineer in Budapest, you will work closely with Sales and Account Management teams to drive success for Taboola’s worldwide advertisers. You will be responsible for onboarding new Advertisers, monitoring delivery and performance, resolving technical issues, and providing in-depth technical recommendations, best practices and optimization strategies across a book of business.
The Solutions Engineer possesses great communication and presentation skills, and ability to understand all technical aspects of our client’s goal and objectives. The Solutions Engineer should be a fast learner and able to ramp up on the changing needs of the platform. Continuous learning and adaptability to change are critical parts of the job.
To thrive in this role, you'll need:
- Fluency in English is a must!
- B.tech/ B.E/ Bsc. IT graduates with at least 3 years of Experience as technical solutions or support roles, preferably in the ad tech industry with hands on experience.
- Hand experience with SQL and API calls and tools. Knowledge with one of following Google Analytics, JavaScript, CSS/HTML, and Mobile SDKs - an advantage
- Strong customer service skills; ability to translate technical investigations and analysis into actions for customers
- Experience strategically assessing and achieving client success via sales techniques, including effective questioning, objection handling, and competitive selling
- Knowledge of business processes, workflows, and ability to provide structured formal documentation
- Excellent written and verbal communication skills, and demonstrated ability to build effective relationships
- Ability to manage multiple projects and stakeholders, understand urgency and prioritize appropriately
- Ability to understand business objectives and partner with them to achieve key results
Bonus points if you have:
- Experience in tracking implementation methods (Shopify, Wordpress, DCM, etc.) - an advantage
- Experience in product implementation, specially experience with pixel implementation on customers’ websites S2S and cookies - an advantage
- Familiarity with Google Tag Manager as well as mobile measurement partners (Appsflyer, Adjust, Kochava, Branch, etc.) - an advantage
- Familiarity with attribution models, testing frameworks, and privacy regulations - an advantage
- Good understanding of digital media industry, ad serving technologies, platforms and tools - an advantage
How you’ll make an impact:
As a Solutions Engineer, you’ll bring value by:
- Owning responsibility for the End2End technical onboarding process , Taboola pixel implementation , conversion tracking , performance and health analysis.
- Building an in-depth knowledge of how Taboola advertising products work and can be used to help meet a wide range of marketing objectives.
- Owning and implementing executional tasks associated with setup and delivery, and providing consultation to the business and customer on best practices.
- Perform technical troubleshooting to identify and proactively solve onboarding related issues.
- Performing detailed End2End campaign performance analysis and providing optimization recommendations to increase revenue.
- Proactively overseeing and managing campaign level performance, advising on delivery and KPI attainment.
- Surfacing verticalized best practices, insights, trends and benchmarks to aid performance.
- Design methodologies and tools to improve the customer service and the team’s troubleshooting ability
- Collaborate with the business teams and work directly with external customers’ product and technical teams to successfully integrate with Taboola’s products
Why Taboola?
If you ask Taboolars what they love about working here, they’ll tell you that they’ve been empowered to realize their full potential while growing and learning from and with smart and talented people. They’ll also share more about:
- Adam Singolda, Taboola Founder and CEO says; “You can copy anything from another business but you can’t copy a company’s culture.
- Flexibility: We offer a hybrid work schedule with 3 days in-office with an option to come in more often if desired.
- Work with some of the biggest names: We work with some of the biggest names in the business. Our publisher partners include Yahoo, Conde Nast, Fox Sports, NBCU, ESPN, CBS, and E! Online. Our advertiser clients include Wells Fargo, Honda, Pinterest, Expedia and Honda.
Ready to realize your potential?
Taboola is an equal opportunity employer and we value diversity in all forms. We are committed to creating an inclusive environment for all employees and believe such an environment is critical for success. Employment is decided on the basis of qualifications, merit, and business need.
Learn more about #TaboolaLife on LinkedIn, Facebook, Instagram, X, YouTube, & the Taboola Life Blog.
About Taboola
Taboola empowers businesses to grow through performance advertising technology that goes beyond search and social and delivers measurable outcomes at scale.
Taboola works with thousands of businesses who advertise directly on Realize, Taboola’s powerful ad platform, reaching approximately 600M daily active users across some of the best publishers in the world. Publishers like NBC News, Yahoo, and OEMs such as Samsung, Xiaomi and others use Taboola’s technology to grow audience and revenue, enabling Realize to offer unique data, specialized algorithms, and unmatched scale.
#LI-SRM1
#LI-Hybrid
Ready to apply?
Apply to Taboola
Realize your potential by joining the leading performance-driven advertising company!
As a Solutions Engineer in Budapest, you will work closely with Sales and Account Management teams to drive success for Taboola’s worldwide advertisers. You will be responsible for onboarding new Advertisers, monitoring delivery and performance, resolving technical issues, and providing in-depth technical recommendations, best practices and optimization strategies across a book of business.
The Solutions Engineer possesses great communication and presentation skills, and ability to understand all technical aspects of our client’s goal and objectives. The Solutions Engineer should be a fast learner and able to ramp up on the changing needs of the platform. Continuous learning and adaptability to change are critical parts of the job.
To thrive in this role, you'll need:
- Fluency in English is a must!
- B.tech/ B.E/ Bsc. IT graduates with at least 3 years of Experience as technical solutions or support roles, preferably in the ad tech industry with hands on experience.
- Hand experience with SQL and API calls and tools. Knowledge with one of following Google Analytics, JavaScript, CSS/HTML, and Mobile SDKs - an advantage
- Strong customer service skills; ability to translate technical investigations and analysis into actions for customers
- Experience strategically assessing and achieving client success via sales techniques, including effective questioning, objection handling, and competitive selling
- Knowledge of business processes, workflows, and ability to provide structured formal documentation
- Excellent written and verbal communication skills, and demonstrated ability to build effective relationships
- Ability to manage multiple projects and stakeholders, understand urgency and prioritize appropriately
- Ability to understand business objectives and partner with them to achieve key results
Bonus points if you have:
- Experience in tracking implementation methods (Shopify, Wordpress, DCM, etc.) - an advantage
- Experience in product implementation, specially experience with pixel implementation on customers’ websites S2S and cookies - an advantage
- Familiarity with Google Tag Manager as well as mobile measurement partners (Appsflyer, Adjust, Kochava, Branch, etc.) - an advantage
- Familiarity with attribution models, testing frameworks, and privacy regulations - an advantage
- Good understanding of digital media industry, ad serving technologies, platforms and tools - an advantage
How you’ll make an impact:
As a Solutions Engineer, you’ll bring value by:
- Owning responsibility for the End2End technical onboarding process , Taboola pixel implementation , conversion tracking , performance and health analysis.
- Building an in-depth knowledge of how Taboola advertising products work and can be used to help meet a wide range of marketing objectives.
- Owning and implementing executional tasks associated with setup and delivery, and providing consultation to the business and customer on best practices.
- Perform technical troubleshooting to identify and proactively solve onboarding related issues.
- Performing detailed End2End campaign performance analysis and providing optimization recommendations to increase revenue.
- Proactively overseeing and managing campaign level performance, advising on delivery and KPI attainment.
- Surfacing verticalized best practices, insights, trends and benchmarks to aid performance.
- Design methodologies and tools to improve the customer service and the team’s troubleshooting ability
- Collaborate with the business teams and work directly with external customers’ product and technical teams to successfully integrate with Taboola’s products
Why Taboola?
If you ask Taboolars what they love about working here, they’ll tell you that they’ve been empowered to realize their full potential while growing and learning from and with smart and talented people. They’ll also share more about:
- Adam Singolda, Taboola Founder and CEO says; “You can copy anything from another business but you can’t copy a company’s culture.
- Flexibility: We offer a hybrid work schedule with 3 days in-office with an option to come in more often if desired.
- Work with some of the biggest names: We work with some of the biggest names in the business. Our publisher partners include Yahoo, Conde Nast, Fox Sports, NBCU, ESPN, CBS, and E! Online. Our advertiser clients include Wells Fargo, Honda, Pinterest, Expedia and Honda.
Ready to realize your potential?
Taboola is an equal opportunity employer and we value diversity in all forms. We are committed to creating an inclusive environment for all employees and believe such an environment is critical for success. Employment is decided on the basis of qualifications, merit, and business need.
Learn more about #TaboolaLife on LinkedIn, Facebook, Instagram, X, YouTube, & the Taboola Life Blog.
About Taboola
Taboola empowers businesses to grow through performance advertising technology that goes beyond search and social and delivers measurable outcomes at scale.
Taboola works with thousands of businesses who advertise directly on Realize, Taboola’s powerful ad platform, reaching approximately 600M daily active users across some of the best publishers in the world. Publishers like NBC News, Yahoo, and OEMs such as Samsung, Xiaomi and others use Taboola’s technology to grow audience and revenue, enabling Realize to offer unique data, specialized algorithms, and unmatched scale.
#LI-SRM1
#LI-Hybrid
Ready to apply?
Apply to Gravity
Staff Software Engineer (iOS)
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Position Overview
We are looking for a Staff iOS Software Engineer with strong expertise in native iOS development (Objective-C, Swift) and a solid understanding of backend technologies, to join our Boards Mobile team at the Center for Global Product Innovation in Budapest.
This role goes beyond traditional mobile engineering: we are seeking someone passionate about leveraging AI-driven technologies, automation, and modern development practices to deliver smarter, more intuitive mobile solutions.
The ideal candidate thrives in complex technical environments, is highly collaborative, and brings an innovative mindset to solve challenges using both proven software engineering practices and emerging AI-powered approaches.
Key Responsibilities
- Take ownership of technical challenges, bringing curiosity and resourcefulness to ambiguous problems.
- Define and drive the development of complex features ensuring scalability, reliability, and security.
- Strong product partnership: translating business requirements into clear technical plans, communicating risk/impact crisply.
- Tackle high-impact problems, producing clear plans, prototypes, and production-ready solutions.
- Integrate AI and automation where appropriate to improve app functionality, personalization, or developer productivity.
- Raise the quality bar through rigorous code reviews, observability, and operational excellence.
- Drive tooling, hosting, DevOps, and quality assurance automation initiatives to improve velocity and reliability.
- Communicate clearly on strategy, progress, and risks.
- Mentor senior and mid-level peer engineers.
- Contribute to high-quality system documentation, operational guidelines, and knowledge sharing.
Required Experience & Skills
- 7+ years of professional iOS development with Swift, including modern Swift Concurrency (async/await, actors) and pragmatic UIKit and/or SwiftUI experience.
- Proven track record shipping and operating at least one large-scale, consumer- or enterprise-grade iOS app, with ownership across design, implementation, release, and post-launch iteration.
- Experience designing modular architectures (e.g., MVVM/C, Clean, TCA) and evolving legacy codebases safely through migrations.
- Deep performance and reliability skills: profiling with Instruments, launch-time tuning, memory/leak debugging and network efficiency.
- Secure mobile development: Keychain, biometrics, secure storage, TLS/ATS, certificate pinning and data-protection best practices.
- Experience with background tasks, conflict resolution, data modeling, and migration strategies.
- API and contract design: strong REST/GraphQL/gRPC fundamentals, versioning, pagination, and close collaboration with backend services on auth and performance.
- Testing at scale: XCTest/XCUITest, snapshot tests, dependency injection for testability, quality gates for CI/CD pipelines.
- Observability: Logging, crash analytics, dashboards/alerting, and SLO-driven ownership.
- Build and release engineering: Fastlane/Xcode Cloud/Bitrise, code signing/provisioning, TestFlight, phased rollouts, feature flags, and rollback plans.
#LI-Hybrid
About Us
Diligent is the AI leader in governance, risk and compliance (GRC) SaaS solutions, helping more than 1 million users and 700,000 board members to clarify risk and elevate governance. The Diligent One Platform gives practitioners, the C-Suite and the board a consolidated view of their entire GRC practice so they can more effectively manage risk, build greater resilience and make better decisions, faster.
Learn more at diligent.com or follow us on LinkedIn and Facebook
What Diligent Offers You
- Creativity is ingrained in our culture. We are innovative collaborators by nature. We thrive in exploring how things can be differently both in our internal processes and to help our clients
- We care about our people. Diligent offers a flexible work environment, global days of service, comprehensive health benefits, meeting free days, generous time off policy and wellness programs to name a few
- We have teams all over the world. We may be headquartered in New York City, but we have office hubs in Washington D.C., Vancouver, London, Galway, Budapest, Munich, Bengaluru, Singapore, and Sydney.
- Diversity is important to us. Growing, maintaining and promoting a diverse team is a top priority for us. We foster and encourage diversity through our Employee Resource Groups and provide access to resources and education to support the education of our team, facilitate dialogue, and foster understanding.
Diligent created the modern governance movement. Our world-changing idea is to empower leaders with the technology, insights and connections they need to drive greater impact and accountability – to lead with purpose. Our employees are passionate, smart, and creative people who not only want to help build the software company of the future, but who want to make the world a more sustainable, equitable and better place.
Headquartered in New York, Diligent has offices in Washington D.C., London, Galway, Budapest, Vancouver, Bengaluru, Munich, Singapore and Sydney. To foster strong collaboration and connection, this role will follow a hybrid work model. If you are within a commuting distance to one of our Diligent office locations, you will be expected to work onsite at least 50% of the time. We believe that in-person engagement helps drive innovation, teamwork, and a strong sense of community.
We are a drug free workplace. Diligent is proud to be an equal opportunity employer. We do not discriminate based on race, color, religious creed, sex, national origin, ancestry, citizenship status, pregnancy, childbirth, physical disability, mental disability, age, military status, protected veteran status, marital status, registered domestic partner or civil union status, gender (including sex stereotyping and gender identity or expression), medical condition (including, but not limited to, cancer related or HIV/AIDS related), genetic information, or sexual orientation in accordance with applicable federal, state and local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Diligent's EEO Policy and Know Your Rights. We are committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at recruitment@diligent.com.
To all recruitment agencies: Diligent does not accept unsolicited agency resumes. Please do not forward resumes to our jobs alias, Diligent employees or any other organization location. Diligent is not responsible for any fees related to unsolicited resumes.
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