MLOps Jobs in Romania.
All active MLOps roles based in Romania.
Pick a job to read the details
Tap any role on the left — its description and apply link will open here.
Associate AI 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 Project
As an Associate AI Engineer, you will join the team building internal LLM projects, ranging from client-facing demos to cutting-edge R&D initiatives. These projects will give you hands-on experience and prepare you to contribute to commercial client engagements.
What You’ll Do
- Build LLM and Agentic applications
- Brainstorm ideas for those projects and their implementation
- Take part in the full cycle: from ideation and brainstorming, through implementation, to testing and evaluation of the solutions
- You will have the opportunity to learn and develop your skills by working together with other AI Engineers (ranging from Associate to Lead)
- Participate in research of cutting-edge technologies and products
What You Bring
- Strong fundamentals in software development and problem-solving (Python preferred)
- Experience working in a Scrum team and writing production code
- Experience in using AI and Agentic tools for coding
- Knowledge of SDLC process
- Bachelor’s degree in STEM (or equivalent hands-on experience or bootcamp) as minimum (master's or PhD degree a plus)
- DevOps/MLOps experience including Docker
- Business-oriented, results-driven mindset
- Strong communication skills
- Curiosity and willingness to learn AI/LLM technologies
Nice to have
- Familiarity with cloud infrastructure (AWS/GCP/Azure)
- Knowledge of LLM Python packages: LangChain, LangGraph, LangFuse, vector DBs
- Knowledge of ML Python packages: PyTorch, scikit-learn
- NLP and language modelling knowledge
- Research interest and experience
- Good grasp of mathematics and statistics, including:
- Linear algebra, probability, and basic calculus
- Statistical testing and basic modeling techniques
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
Associate AI 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 Project
As an Associate AI Engineer, you will join the team building internal LLM projects, ranging from client-facing demos to cutting-edge R&D initiatives. These projects will give you hands-on experience and prepare you to contribute to commercial client engagements.
What You’ll Do
- Build LLM and Agentic applications
- Brainstorm ideas for those projects and their implementation
- Take part in the full cycle: from ideation and brainstorming, through implementation, to testing and evaluation of the solutions
- You will have the opportunity to learn and develop your skills by working together with other AI Engineers (ranging from Associate to Lead)
- Participate in research of cutting-edge technologies and products
What You Bring
- Strong fundamentals in software development and problem-solving (Python preferred)
- Experience working in a Scrum team and writing production code
- Experience in using AI and Agentic tools for coding
- Knowledge of SDLC process
- Bachelor’s degree in STEM (or equivalent hands-on experience or bootcamp) as minimum (master's or PhD degree a plus)
- DevOps/MLOps experience including Docker
- Business-oriented, results-driven mindset
- Strong communication skills
- Curiosity and willingness to learn AI/LLM technologies
Nice to have
- Familiarity with cloud infrastructure (AWS/GCP/Azure)
- Knowledge of LLM Python packages: LangChain, LangGraph, LangFuse, vector DBs
- Knowledge of ML Python packages: PyTorch, scikit-learn
- NLP and language modelling knowledge
- Research interest and experience
- Good grasp of mathematics and statistics, including:
- Linear algebra, probability, and basic calculus
- Statistical testing and basic modeling techniques
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
OPSWAT, a global leader in IT, OT, and ICS critical infrastructure cybersecurity, delivers an end-to-end platform that gives public and private sector organizations and enterprises the critical advantage needed to protect their complex networks, secure their devices, and ensure compliance. Over the last 20 years our commitment to innovative technology has earned the trust of more than 1,700 organizations, governments, and institutions globally, solidifying our role in protecting the world’s critical infrastructure and securing our way of life.
In this role, you will design, build, and improve machine learning models for cybersecurity and malware-related use cases. You will focus on experimenting with model architectures, preparing and evaluating data, and supporting the deployment and integration of ML solutions into production systems. You will work closely with engineers and product teams to ensure models are robust, scalable, and impactful.
If you’re interested in working as a Machine Learning Engineer at OPSWAT, please apply, and we will get in touch!
You Will Have the Opportunity to
-
Train, test, and optimize machine learning models for cybersecurity and malware detection use cases.
-
Experiment with and evaluate different model architectures, including classical ML and deep learning approaches.
-
Perform data exploration, feature engineering, and data preprocessing on large, complex datasets (structured and unstructured).
-
Design and execute model evaluation pipelines, including performance analysis, validation strategies, and benchmarking.
-
Collaborate with data engineers and threat researchers to improve data quality, feature sets, and model performance.
-
Support the deployment, integration, and monitoring of ML models in production environments.
-
Contribute to building scalable ML workflows and improving model development lifecycle practices.
-
Work with cross-functional teams to translate business and product requirements into ML solutions.
What We Are Looking For
-
Degree in Computer Science, Mathematics, Engineering, AI, or a related field.
-
Solid understanding of machine learning algorithms, model training, evaluation techniques, and optimization methods.
-
Hands-on experience with Python and common ML libraries (e.g., scikit-learn, TensorFlow, PyTorch).
-
Experience with data exploration, feature engineering, and working with real-world datasets.
-
Familiarity with model evaluation metrics and validation strategies.
-
Basic understanding of deploying and integrating ML models into production systems.
-
Experience with cloud platforms (AWS preferred) is a plus.
-
Familiarity with MLOps practices and tools is an advantage.
-
Strong problem-solving skills, attention to detail, and willingness to experiment and learn.
-
Ability to communicate findings and collaborate effectively within cross-functional teams.
OPSWAT is an equal opportunity employer. We celebrate diversity and are committed to providing an environment where equal employment opportunities are extended to all employees and applicants, free of discrimination and harassment of any type. All employment decisions are based on individual qualifications, job requirements, and business needs without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other category protected by federal, state, or local laws.
Recruiting Agencies: we do not accept unsolicited resumes from third party agencies for any of our open positions. To submit resumes for our jobs, there must be a recruiting contract approved by our legal team and endorsed by both parties. We are currently not accepting additional 3rd party agencies at this time.
Ready to apply?
Apply to OPSWAT
OPSWAT, a global leader in IT, OT, and ICS critical infrastructure cybersecurity, delivers an end-to-end platform that gives public and private sector organizations and enterprises the critical advantage needed to protect their complex networks, secure their devices, and ensure compliance. Over the last 20 years our commitment to innovative technology has earned the trust of more than 1,700 organizations, governments, and institutions globally, solidifying our role in protecting the world’s critical infrastructure and securing our way of life.
OPSWAT, a global leader in IT, OT, and ICS critical infrastructure cybersecurity, delivers an end-to-end platform that gives public and private sector organizations and enterprises the critical advantage needed to protect their complex networks, secure their devices, and ensure compliance. Over the last 20 years our commitment to innovative technology has earned the trust of more than 1,700 organizations, governments, and institutions globally, solidifying our role in protecting the world’s critical infrastructure and securing our way of life.
What You Will Be Doing
- Design, build, and maintain robust data pipelines for real-time and batch processing
- Develop and optimize data architectures that support data ingestion, transformation, enrichment, and storage, ensuring scalability and efficiency, using AWS technologies
- Set up and maintain AWS SageMaker environments for model development and deployment
- Create and manage test datasets with proper versioning techniques using tools
- Implement monitoring, logging, and alerting for data pipelines to ensure reliability, quality, and accuracy of data outputs
- Collaborate with Research and ML Engineers to streamline the ML workflow
- Ensure ML pipelines and model deployments meet security and compliance standards aligned with OPSWAT’s critical infrastructure cybersecurity context
What We Need From You
- 3-5 years of experience in data engineering, platform engineering, or MLOps roles
- Strong proficiency in Python and AWS cloud services
- Experience with containerization (Docker) and orchestration tools
- Understanding of ML model deployment and monitoring best practices
- Experience with AWS SageMaker or similar ML platforms
- Familiarity with data preparation for machine learning workflows
Nice to Have
- Experience with Rust programming language
- Knowledge of Kafka, Kinesis, or other streaming platforms
- Experience with additional data orchestration tools and frameworks
- Advanced capabilities in data visualization tools like PowerBI, Tableau, or similar
- Knowledge of infrastructure-as-code tools like Terraform or CloudFormation
- Experience with Feature Stores and ML metadata tracking systems
- Familiarity with ML experiment tracking tools (MLflow, Weights & Biases)
- A passion for driving data-driven decisions and fostering a collaborative data culture
OPSWAT is an equal opportunity employer. We celebrate diversity and are committed to providing an environment where equal employment opportunities are extended to all employees and applicants, free of discrimination and harassment of any type. All employment decisions are based on individual qualifications, job requirements, and business needs without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other category protected by federal, state, or local laws.
Recruiting Agencies: we do not accept unsolicited resumes from third party agencies for any of our open positions. To submit resumes for our jobs, there must be a recruiting contract approved by our legal team and endorsed by both parties. We are currently not accepting additional 3rd party agencies at this time.
Ready to apply?
Apply to OPSWAT
Associate AI 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 Project
As an Associate AI Engineer, you will join the team building internal LLM projects, ranging from client-facing demos to cutting-edge R&D initiatives. These projects will give you hands-on experience and prepare you to contribute to commercial client engagements.
What You’ll Do
- Build LLM and Agentic applications
- Brainstorm ideas for those projects and their implementation
- Take part in the full cycle: from ideation and brainstorming, through implementation, to testing and evaluation of the solutions
- You will have the opportunity to learn and develop your skills by working together with other AI Engineers (ranging from Associate to Lead)
- Participate in research of cutting-edge technologies and products
What You Bring
- Strong fundamentals in software development and problem-solving (Python preferred)
- Experience working in a Scrum team and writing production code
- Experience in using AI and Agentic tools for coding
- Knowledge of SDLC process
- Bachelor’s degree in STEM (or equivalent hands-on experience or bootcamp) as minimum (master's or PhD degree a plus)
- DevOps/MLOps experience including Docker
- Business-oriented, results-driven mindset
- Strong communication skills
- Curiosity and willingness to learn AI/LLM technologies
Nice to have
- Familiarity with cloud infrastructure (AWS/GCP/Azure)
- Knowledge of LLM Python packages: LangChain, LangGraph, LangFuse, vector DBs
- Knowledge of ML Python packages: PyTorch, scikit-learn
- NLP and language modelling knowledge
- Research interest and experience
- Good grasp of mathematics and statistics, including:
- Linear algebra, probability, and basic calculus
- Statistical testing and basic modeling techniques
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)
Senior Domain Engineering Specialist - VDP
Share this job
Veeam is the Data and AI Trust Company, specializing in helping organizations ensure their data and AI are fully understood, secured, and resilient to enable the acceleration of safe AI at scale. As the market leader in both data resilience and data security posture management, Veeam is built for the convergence of identity, data, security, and AI risk. Headquartered in Seattle with offices in more than 30 countries, Veeam protects over 550,000 customers worldwide, who trust Veeam to keep their businesses running. Join us as we go fearlessly forward together, growing, learning, and making a real impact for some of the world’s biggest brands.
About the Role
The ideal candidate will be naturally collaborative, articulate, extremely organized, have a solid technical understanding of Veeam products, and motivated by maximizing customer success and outcomes. Soft skills combined with technical skills are key in this role. You will partner with Customer Success Engineers (CSEs) and Account Executives (AEs) to drive customer outcomes across security-related products and use cases within the Veeam Data Platform (VDP). You’ll lead readiness checks, data modeling, and risk conversations with CISO/CIO stakeholders, while monitoring telemetry and maturity against the Veeam Data Resilience Maturity Model (DRMM) to optimize posture and identify expansion opportunities.
What You’ll Do
- Engage customers on security-related products, architectures, and risk topics across the Veeam Data Platform (VDP).
- Run readiness checks and lead data modeling to validate solution design and accelerate decisions.
- Monitor attack surfaces and vulnerabilities (including DRMM scoring), track telemetry or recurring inspection signals, report trends, and capture potential health checks.
- Validate designs to de-risk adoption and accelerate time to value.
- Identify and articulate expansion opportunities; review consumption trends and schedule checkpoint reviews (with or without AE coordination).
- Engage CISO/CIO stakeholders for risk, status, and opportunity discussions; synthesize inputs from account health and CSE-led QBRs.
- Support AEs on security- and AI-driven expansion motions; influence roadmap priorities with CSE counterparts.
- Operate as a pooled resource covering Enterprise and Commercial-Named accounts (generally $100K+ ARR), typically at a 1 Security Success Engineer to 6–8 CSE coverage ratio.
- Note: Not the primary owner for Onboarding motions nor directly responsible for Renewals
What You’ll Bring
- 5+ years of experience in engineering architecture for cybersecurity-related products (e.g., Security Engineer/Architect, Cloud Solution Architect, MLOps/ML Engineer).
- Bachelor’s degree in Computer Science, Electrical Engineering, or a related technical field; advanced degree is a plus.
- Relevant certifications (e.g., CompTIA Security+, CISSP, or equivalent).
- Expertise in data security and governance, including DSPM/DLP; familiarity with AI/ML architectures.
- Demonstrated ability to engage CISO/CIO stakeholders on risk, resilience, and modernization roadmaps.
- Hands-on experience with solution design, POCs, telemetry monitoring, and maturity modeling (DRMM familiarity is a plus).
- Strong communication, stakeholder management, and cross-functional collaboration skills.
- VMCE certification (can be completed after joining)
What You’ll Get
- 21 annual vacation days, additional days based on tenure, plus 4 extra global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares
- Private health, dental, and vision insurance for employees and dependents, including outpatient care, hospitalization, pregnancy monitoring, and psychology support
- Monthly lifestyle and daily meal benefits: 40 RON/day via Edenred and 600 RON/month through a flexible cafeteria platform
- Life insurance (2× annual gross salary), critical illness, and disability coverage, plus vision reimbursement
- Free access to Bookster library platform for borrowing your favorite books for free
- Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops and learning events like our annual Global Day of Learning
Please note: If an applicant is permanently located outside of Romania, Veeam reserves the right to decline the application for this position.
#LI-AF1
Please note that any personal data collected from you during the recruitment process will be processed in accordance with our Recruiting Privacy Notice.
The Privacy Notice sets out the basis on which the personal data collected from you, or that you provide to us, will be processed by us in connection with our recruitment processes.
By applying for this position, you consent to the processing of your personal data in accordance with our Recruiting Privacy Notice.
By submitting your application, you acknowledge that the information provided in your job application and any supporting documents is complete and accurate to the best of your knowledge. Any misrepresentation, omission, or falsification of information may result in disqualification from consideration for employment or, if discovered after employment begins, termination of employment.
Ready to apply?
Apply to Veeam Software
Senior ML Platform Engineer
Share this job
We are looking for a Senior ML Platform Engineer to join our ML Platform team to build, evolve and scale AI Infrastructure that powers Bolt's intelligent services
With over 200 million customers in 50+ countries, Bolt is one of the fastest-growing tech companies in Europe and Africa. And it's all thanks to our people.
We believe in creating an inclusive environment where everyone is welcome, regardless of race, colour, religion, gender identity, sexual orientation, age, or disability.
Our ultimate goal is to make cities for people, not cars, and we need your help to achieve this mission!
The ML Platform Team makes ML/AI easy at scale. We streamline development, testing and deployment of ML/AI systems for hundreds of real-time algorithms.
We own training orchestration, an inference software stack and infrastructure, and a Feature Store, including VectorSearch and RAG tooling. We develop LLM tools and CI/CD for ML, covering the whole range of ML infrastructure needs.
Our tech stack includes TypeScript, Python, Spark (batch and structured streaming), Airflow, n8n, MLflow, LiteLLM, AWS SageMaker, Redis, Elasticsearch, Docker, Kubernetes, AWS (S3, EKS), Terraform, Great Expectations.
Designing, building, and optimising components of Bolt’s ML Platform. Optimise and extend our in-house Feature Store Platform serving billions of data points in real-time. Tune infrastructure (k8s and AWS) and build automations to achieve the best cost-performance. Proactively solve technical challenges, discover and build new features, enabling develop efficiency. Support our internal users and help with troubleshooting, and turn user problems into scalable solutions. Raise our product and technical quality bar, promoting software engineering best practices.
5+ years of experience in Software Engineering, out of which 2+ in ML/MLOPS/AI Engineering. Experience in leading and delivering complex cross-team projects. Production experience with Python, Spark, and Kubernetes. Experience in MLOPS and AI ecosystem, and developing end-to-end ML/AI solutions at scale. You strive for technical excellence while staying pragmatic to achieve outcomes for the users.
Experience is great, but what we really look for is drive, intelligence, and integrity. So even if you don’t tick every box, please consider applying!
Accelerate your professional growth with unique career opportunities. Enjoy a rewarding salary and stock options, knowing that as Bolt succeeds, so do you. Take care of your physical and mental health with our wellness perks. Celebrate 5 years at Bolt with a 1-month paid sabbatical to recharge. Connect with colleagues at annual company events and smaller team gatherings. Balance flexibility and in-person collaboration with our hybrid model, including at least 12 monthly in-office days.
#LI-Hybrid
Ready to apply?
Apply to Bolt Technology