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You will work closely with product, design, and data science teams to develop and enhance applications by managing AI intent within a spec-driven development framework. As a technical expert, you will help orchestrate AI agents to generate production-ready code and automated tests, utilizing multi-LLM workflows for code verification and quality assurance. You will provide recommendations on best practices for AI-native workflows while ensuring code maintainability, security, and performance. A solid understanding of the .NET stack and the entire SDLC is required to ensure efficient, spec-led project completion.
What you will do:
What you have:
Preferred Experience:
Education and/or Experience:
What we offer:
Please note that this position is only available to candidates who are currently residing in Bulgaria. Unfortunately, we are unable to consider applicants outside of the country.
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Job Summary
As a Data Scientist, you will work within a cross-functional agile team contributing to the company's growth in a fast-moving environment. You will develop new tools and features by working closely with engineers, product managers, designers, and engineers. Ultimately, the goal is to help our users make smarter decisions. On top of that, you’ll have the support of a diverse, large team of data scientists working across all Brandwatch products to support your technical and career development. This role is open to people with a variety of professional and academic backgrounds and you can expect to develop your skills in a wide variety of techniques, including machine learning, statistical modelling, and computational linguistics.
Essential Duties and Responsibilities
Work with stakeholders to clarity and refine questions.
Collect, clean, and prepare data, generally this will be large volumes of text along with metadata and will often need to be handled with big data tools.
Build models to solve a range of different problems, such as text classification and clustering, automated insight generation, and time series analysis.
Develop evaluation methodologies, which will vary from those based around conventional classification metrics (such as precision and recall), to designing methods to evaluate how well your tool helps a user achieve a defined task.
Support engineers as your projects are shipped. Sometimes you will also help maintain and upgrade the tools and technologies you develop.
Perform other duties as required to support evolving business needs.
Minimum Required Qualifications
A good working knowledge of Python (or another modern programming language, with willingness to learn Python).
A solid understanding of statistics and/or machine learning.
Enjoy an experimental and iterative approach to building products.
An ability to communicate with non-technical stakeholders, or willingness to skill up in this area.
Preferred Qualifications
Working in a data science team.
Common data science libraries, such as Numpy, Scipy, Pandas, SKlearn, Spacy.
Big data tools, such as: Spark, Dask, MapReduce, or alternatives.
Cloud computing, for example: AWS EC2, S3.
Linux style shell commands.
Application prototyping frameworks such as Dash, or Shiny.
Ready to apply?
Apply to Cision
What you’ll do
Essential skills and experience
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Job Summary
The Software Engineer is responsible for designing, developing, testing, deploying, and maintaining software components that support Cision’s global SaaS platform. This role contributes to the full software development lifecycle and collaborates cross-functionally with teams across regions. The position requires solid technical knowledge, problem-solving skills, and the ability to deliver in a fast-paced, Agile environment.
Essential Duties and Responsibilities
Build high-quality, scalable, and maintainable software solutions
Participate in Agile ceremonies, sprint planning, and daily stand-ups
Contribute to system and application architecture discussions, ensuring scalable and maintainable design patterns
Collaborate with product managers, designers, and QA to deliver new features
Develop APIs and services with security, performance, and reliability in mind
Conduct peer code reviews and contribute to shared coding standards
Mentor junior engineers through code reviews, technical guidance, and knowledge sharing
Support deployment and operational monitoring of applications
Troubleshoot, debug, and optimize existing systems
Contribute to documentation and knowledge sharing within the team
As other duties are assigned
Minimum Qualifications
Bachelor’s degree in computer science, Engineering, or equivalent practical experience
3+ years of experience as a software developer/engineer in a SaaS or cloud-native environment
Proficiency in at least one modern programming language (e.g., Java, Python, C#, JavaScript)
Familiarity with cloud platforms (AWS, Azure, or GCP)
Experience with Git, CI/CD tools, and Agile software development
Strong verbal and written communication skills
Ability to work effectively in globally distributed teams
Preferred Qualifications
Experience with microservices architecture and API development
Exposure to containerization tools (e.g., Docker, Kubernetes)
Knowledge of secure coding practices and performance optimization
Familiarity with front-end frameworks (React, Angular) is a plus
Experience working in a private equity-backed or fast-growth SaaS company
Working Conditions
Global, distributed team environment with flexibility for remote work
May require occasional off-hours collaboration across time zones
Fast-paced setting with continuous delivery practices
Ready to apply?
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What You’ll Do
Essential Skills & Experience
Preferred (Not Essential)
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At Cision, we build software that supports large-scale, global enterprise infrastructure. Our teams enable platform, operations, and engineering groups with tools that improve visibility, reliability, automation, and decision-making across complex systems.
We are seeking a Staff Full Stack Software Engineer to lead the design and delivery of internal platforms used by enterprise infrastructure teams. This is a senior individual contributor role for an engineer who thrives in ambiguity, works independently, and owns systems end-to-end—from architecture through production operations.
You will operate as a technical leader within the team, influencing design decisions, setting engineering standards, and delivering high-impact solutions across backend services, data pipelines, and user-facing applications.
What You’ll Do
• Architect, build, and own full-stack software platforms supporting enterprise infrastructure and operations teams.
• Lead the technical design of systems that ingest, process, analyze, and expose infrastructure and operational data at scale.
• Develop backend services and APIs for data collection, enrichment, and querying.
• Build and maintain web interfaces with advanced search, filtering, and usability tailored for technical users.
• Design and implement ETL and data processing pipelines for structured and semi-structured data sources.
• Ensure applications are fully containerized and production-ready using Docker and Kubernetes-based deployment models.
• Act as a technical authority on system design, performance, reliability, and maintainability.
• Collaborate with platform, infrastructure, security, and product stakeholders to shape solutions aligned with long-term platform strategy.
• Set and uphold engineering best practices around testing, code quality, documentation, and operational readiness.
• Review designs and code across the team, providing clear guidance and raising the overall technical bar.
• Identify systemic issues, reduce technical debt, and proactively improve platform scalability and developer experience.
What You’ll Bring
• Extensive experience as a Staff or Senior Full Stack Software Engineer working on complex, production systems.
• Proven ability to operate independently in ambiguous problem spaces and drive solutions to completion.
• Strong backend engineering experience, including API design and data-intensive services.
• Experience building data-driven applications involving ingestion, transformation, and analysis.
• Proficiency in one or more backend languages such as C#, Python, Go, or Java.
• Strong SQL skills and experience with relational databases.
• Hands-on experience with Docker and containerized application delivery.
• Solid understanding of distributed systems fundamentals and cloud-native application design.
• Experience working with CI/CD pipelines and modern software development workflows.
• Excellent technical judgment, communication skills, and ability to influence without authority.
Preferred Experience
• Experience designing and operating systems on Kubernetes.
• Familiarity with PostgreSQL, MySQL, or similar databases.
• Experience with ETL pipelines, analytics platforms, or operational data tooling.
• Exposure to cloud platforms such as GCP or AWS.
• Background building internal platforms or tools for infrastructure, SRE, DevOps, or platform engineering teams.
• Understanding of observability, cost optimization, reliability engineering, or infrastructure automation.
Education & Experience
• Bachelor’s degree in Computer Science or a related field, or equivalent practical experience.
• Typically 10+ years of professional software engineering experience, with demonstrated ownership of large or critical systems.
Ready to apply?
Apply to Cision
This position is responsible for designing, developing, testing, and maintaining software solutions that support business needs. It contributes to both new feature development and the enhancement of existing systems, applying software engineering principles to deliver reliable, scalable, and maintainable applications.
What You'll Do
What You'll Bring
Preferred Qualifications
What we offer:
Please note that this position is only available to candidates who are currently residing in Sofia. Unfortunately, we are unable to consider applicants outside of the country.
Ready to apply?
Apply to Cision
Cision has one of the largest media and content databases on Earth. Our data science team works on building intelligent and high-impact features driven by machine learning and NLP.
As a Staff Data Scientist, you will be part of our Machine Learning and Data Science team that build and deploy machine learning models used directly in our products. You will work on complex, high-visibility problems and collaborate closely with engineering, product, and analytics teams to turn prototypes into production-grade solutions.
This role is ideal for someone who operates with strong ownership, delivers high-quality work at pace, and acts as a subject-matter expert on key ML components or services.
Key Responsibilities
Develop and deliver complex machine learning and NLP solutions end-to-end.
Analyze large datasets to uncover insights, design features, and guide modeling decisions.
Build, test, and deploy ML models into production systems in partnership with engineering teams.
Work independently to create tools, frameworks, and reusable components that accelerate model development.
Collaborate cross-functionally with product managers, engineers, and analysts to translate prototypes into production-grade models and services.
Demonstrate sound judgment around risk, workload management, prioritization, and escalation.
Act as a go-to SME for your domain and contribute significantly to team commitments and delivery.
Required Qualifications
8+ years of professional experience in a software or ML engineering environment.
5+ years applying advanced statistical or machine learning techniques to real-world business problems.
Advanced degree in a quantitative field (e.g., Statistics, Mathematics, Economics, Computer Science, Machine Learning) or equivalent practical experience.
Proven track record of delivering ML solutions used in production.
Strong proficiency with Python and ML-focused libraries such as Pandas, NumPy, scikit-learn, TensorFlow, or PyTorch.
Hands-on experience with cloud-based ML workflows in GCP and/or AWS (Kubernetes, Nvidia Triton, Vertex AI, Sagemaker, and similar tools)
Proficiency with database query languages (QL) and experience working with large-scale datasets.
Ability to clearly communicate complex technical concepts to non-technical audiences.
Strong sense of ownership, accountability, and commitment to quality.
Preferred Qualifications
Experience with modern NLP techniques and pretrained model ecosystems.
Experience building scalable data pipelines or model-serving architectures.
Familiarity with MLOps concepts and practices.
Experience in building production-quality and scalable inf inerence systems with Python, Java, or general-purpose languages.
What Your Day-to-Day Might Look Like
Experimenting with various modeling techniques using GCP Vertex AI or AWS SageMaker.
Analyzing model performance and implementing strategies to improve accuracy, robustness, and reliability.
Designing and engineering new features based on exploratory data analysis.
Identifying, evaluating, and adapting open-source models to solve NLP and ML tasks.
Partnering with engineers to optimize ML models for deployment and monitoring.
Ready to apply?
Apply to Cision
Job Summary
The position is responsible for designing, developing, testing, and maintaining software solutions that support business needs. It contributes to both new feature development and the enhancement of existing systems, applying software engineering principles to deliver reliable, scalable, and maintainable applications.
Essential Duties & Responsibilities
Design, develop, and maintain software systems, applications, or services.
Collaborate with team members and stakeholders to define technical requirements and translate them into solutions.
Write clean, efficient, and well-documented code following engineering best practices.
Participate in code reviews, testing, and deployment processes to ensure software quality and performance.
Contribute to troubleshooting and debugging efforts, identifying root causes and implementing solutions.
Support platform performance, monitoring, and operational health through logging, alerting, and diagnostics.
Engage in Agile development practices including sprint planning, stand-ups, and retrospectives.
Provide technical input into project planning, estimation, and risk assessment.
Perform other duties and responsibilities as required to support business needs.
Job Level Specifications
Extensive knowledge and application of principles, theories and concepts. Complete knowledge of all job functions and the broad industry best practices, techniques and standards.
Develops solutions to complex problems where analysis of situations and/or data requires in-depth evaluation of variables. Determine the best approach to achieve results and provide suggestions to improve policies and procedures.
Work is performed independently and requires the exercise of judgment and discretion. Exercises considerable latitude in determining objectives and approaches to assignments. Work may be reviewed at a high level.
May represent the organization as primary contact on assignments and/or projects. Interacts with senior professionals and management and frequently coordinates work between departments or organizations.
Actions may impact on the organization. Failure to accomplish work will result in the inability to reach crucial organizational goals. Erroneous decisions may have a prolonged effect resulting in the expenditure of substantial resources.
Minimum Qualifications
Education: University degree preferred.
Typical experience: 5+ years in related role or experience.
Experience in software development using modern programming languages (e.g., Java, Python, C#, JavaScript).
Familiarity with application architecture, APIs, data modeling, and design patterns.
Knowledge of source control tools (e.g., Git) and CI/CD processes.
Understanding of performance optimization, scalability, and maintainability in software systems.
Ability to work collaboratively in a team environment and communicate effectively.
Actual experience may vary depending on role complexity, geography, and internal development opportunities or a comparable mix of training, education, and experience.
Preferred Qualifications
Experience working across full-stack environments (e.g., frontend frameworks, backend services, databases).
Familiarity with cloud platforms, microservices architecture, or containerization tools.
Exposure to system integration, monitoring practices, and operational support.
Demonstrated experience mentoring others or contributing to technical decision-making.
Working Conditions & Physical Demands
This position requires the ability to remain in a stationary position for extended periods and involves frequent use of a computer and other standard office equipment. It also requires effective communication in person and through digital channels, occasional movement within the workspace, and handling of light materials (typically under 10 pounds). Specific vision abilities include close vision and the ability to adjust focus. It may be performed in an office, remote, or hybrid work environment, depending on business needs and applicable work arrangements. Standard working hours apply, though flexibility may be required to accommodate deadlines or collaboration across time zones. Travel may be required depending on business needs. Reasonable accommodation(s) may be made to enable individuals with disabilities to perform the essential functions.
The responsibilities listed above are not all inclusive and may be changed at any time based on the needs of the business.
Ready to apply?
Apply to Cision
You will collaborate closely with product, design, technology, and data science teams, you will be part of the backend platform team to build new backend services, processes, and components and improve existing ones.
You will take a lead role in reviewing code changes within your team and provide thoughtful feedback to drive quality and best practices. You will actively evaluate technologies for applications and make recommendations aligned with team and product needs.
You’ll mentor engineers at various levels, sharing your knowledge of code maintainability, performance, reliability, observability, security, and functionality. With a strong understanding of the tech stack and SSDLC, you’ll contribute significantly to project success and team productivity. You may serve as a subject matter expert (SME) within the engineering organization, providing insights to cross-functional teams.
Essential Duties and Responsibilities include the following:
Experience you will have:
Preferred Experience:
Education and/or Experience:
Ready to apply?
Apply to Cision
Job Summary
The position is responsible for designing, developing, testing, and maintaining software solutions that support business needs. It contributes to both new feature development and the enhancement of existing systems, applying software engineering principles to deliver reliable, scalable, and maintainable applications.
Essential Duties & Responsibilities
Design, develop, and maintain software systems, applications, or services.
Collaborate with team members and stakeholders to define technical requirements and translate them into solutions.
Write clean, efficient, and well-documented code following engineering best practices.
Participate in code reviews, testing, and deployment processes to ensure software quality and performance.
Contribute to troubleshooting and debugging efforts, identifying root causes and implementing solutions.
Support platform performance, monitoring, and operational health through logging, alerting, and diagnostics.
Engage in Agile development practices including sprint planning, stand-ups, and retrospectives.
Provide technical input into project planning, estimation, and risk assessment.
Perform other duties and responsibilities as required to support business needs.
Job Level Specifications
Extensive knowledge and application of principles, theories and concepts. Complete knowledge of all job functions and the broad industry best practices, techniques and standards.
Develops solutions to complex problems where analysis of situations and/or data requires in-depth evaluation of variables. Determine the best approach to achieve results and provide suggestions to improve policies and procedures.
Work is performed independently and requires the exercise of judgment and discretion. Exercises considerable latitude in determining objectives and approaches to assignments. Work may be reviewed at a high level.
May represent the organization as primary contact on assignments and/or projects. Interacts with senior professionals and management and frequently coordinates work between departments or organizations.
Actions may impact on the organization. Failure to accomplish work will result in the inability to reach crucial organizational goals. Erroneous decisions may have a prolonged effect resulting in the expenditure of substantial resources.
Minimum Qualifications
Education: University degree preferred.
Typical experience: 5+ years in related role or experience.
Experience in software development using modern programming languages (e.g., Java, Python, C#, JavaScript).
Familiarity with application architecture, APIs, data modeling, and design patterns.
Knowledge of source control tools (e.g., Git) and CI/CD processes.
Understanding of performance optimization, scalability, and maintainability in software systems.
Ability to work collaboratively in a team environment and communicate effectively.
Actual experience may vary depending on role complexity, geography, and internal development opportunities or a comparable mix of training, education, and experience.
Preferred Qualifications
Experience working across full-stack environments (e.g., frontend frameworks, backend services, databases).
Familiarity with cloud platforms, microservices architecture, or containerization tools.
Exposure to system integration, monitoring practices, and operational support.
Demonstrated experience mentoring others or contributing to technical decision-making.
Working Conditions & Physical Demands
This position requires the ability to remain in a stationary position for extended periods and involves frequent use of a computer and other standard office equipment. It also requires effective communication in person and through digital channels, occasional movement within the workspace, and handling of light materials (typically under 10 pounds). Specific vision abilities include close vision and the ability to adjust focus. It may be performed in an office, remote, or hybrid work environment, depending on business needs and applicable work arrangements. Standard working hours apply, though flexibility may be required to accommodate deadlines or collaboration across time zones. Travel may be required depending on business needs. Reasonable accommodation(s) may be made to enable individuals with disabilities to perform the essential functions.
The responsibilities listed above are not all inclusive and may be changed at any time based on the needs of the business.
Ready to apply?
Apply to Cision
What you’ll do
Essential skills and experience
Preferred skills
Ready to apply?
Apply to Cision
Share this job
About the Role
We’re looking for a Lead DevOps Engineer (Observability & Developer Experience) to take ownership of two key areas within our engineering operations. You’ll work closely with the engineering teams responsible for our observability platform and developer tools, helping to ensure our systems are reliable and our developers are empowered with efficient workflows. In this role, you’ll shape the technical direction for monitoring, logging, CI/CD, and automation initiatives across the organization, while staying hands-on with engineering work. You’ll also collaborate with teams across the company to drive continuous improvement and innovation.
What You’ll Do
What You’ll Bring
Preferred (Not Essential)
Why Join Us?
This role is perfect for someone who wants to stay hands-on technically while also mentoring and influencing a team. You’ll have a direct impact on the reliability and efficiency of our engineering systems and help shape the way our developers work every day.
Ready to apply?
Apply to Cision
As a Staff Data Scientist, you will act as a senior technical leader and trusted advisor across multiple teams. You’ll guide stakeholders through the complexity of modern AI systems, with a particular focus on agentic AI architectures (including LangGraph, LangFuse, and related tooling), as well as broader machine‑learning strategy. This role blends deep technical expertise, consultative problem‑solving, and cross‑functional leadership.
You will often support several initiatives simultaneously, helping teams understand feasibility, scope, and risk while shaping high‑impact AI solutions that align with business needs. You’ll also mentor junior colleagues, elevate data‑science practices, and contribute hands‑on to the development of production‑grade AI systems.
What you'll do:
AI Consulting & Advisory
AI & ML Solution Design
Hands‑On Technical Work
Leadership & Mentorship
What you'll bring:
Nice to Have
Ready to apply?
Apply to Cision
Job Summary
The position is responsible for designing, developing, testing, and maintaining software solutions that support business needs. It contributes to both new feature development and the enhancement of existing systems, applying software engineering principles to deliver reliable, scalable, and maintainable applications.
Essential Duties & Responsibilities
Design, develop, and maintain software systems, applications, or services.
Collaborate with team members and stakeholders to define technical requirements and translate them into solutions.
Write clean, efficient, and well-documented code following engineering best practices.
Participate in code reviews, testing, and deployment processes to ensure software quality and performance.
Contribute to troubleshooting and debugging efforts, identifying root causes and implementing solutions.
Support platform performance, monitoring, and operational health through logging, alerting, and diagnostics.
Engage in Agile development practices including sprint planning, stand-ups, and retrospectives.
Provide technical input into project planning, estimation, and risk assessment.
Perform other duties and responsibilities as required to support business needs.
Job Level Specifications
Extensive knowledge and application of principles, theories and concepts. Complete knowledge of all job functions and the broad industry best practices, techniques and standards.
Develops solutions to complex problems where analysis of situations and/or data requires in-depth evaluation of variables. Determine the best approach to achieve results and provide suggestions to improve policies and procedures.
Work is performed independently and requires the exercise of judgment and discretion. Exercises considerable latitude in determining objectives and approaches to assignments. Work may be reviewed at a high level.
May represent the organization as primary contact on assignments and/or projects. Interacts with senior professionals and management and frequently coordinates work between departments or organizations.
Actions may impact on the organization. Failure to accomplish work will result in the inability to reach crucial organizational goals. Erroneous decisions may have a prolonged effect resulting in the expenditure of substantial resources.
Minimum Qualifications
Education: University degree preferred.
Typical experience: 5+ years in related role or experience.
Experience in software development using modern programming languages (e.g., Java, Python, C#, JavaScript).
Familiarity with application architecture, APIs, data modeling, and design patterns.
Knowledge of source control tools (e.g., Git) and CI/CD processes.
Understanding of performance optimization, scalability, and maintainability in software systems.
Ability to work collaboratively in a team environment and communicate effectively.
Actual experience may vary depending on role complexity, geography, and internal development opportunities or a comparable mix of training, education, and experience.
Preferred Qualifications
Experience working across full-stack environments (e.g., frontend frameworks, backend services, databases).
Familiarity with cloud platforms, microservices architecture, or containerization tools.
Exposure to system integration, monitoring practices, and operational support.
Demonstrated experience mentoring others or contributing to technical decision-making.
Working Conditions & Physical Demands
This position requires the ability to remain in a stationary position for extended periods and involves frequent use of a computer and other standard office equipment. It also requires effective communication in person and through digital channels, occasional movement within the workspace, and handling of light materials (typically under 10 pounds). Specific vision abilities include close vision and the ability to adjust focus. It may be performed in an office, remote, or hybrid work environment, depending on business needs and applicable work arrangements. Standard working hours apply, though flexibility may be required to accommodate deadlines or collaboration across time zones. Travel may be required depending on business needs. Reasonable accommodation(s) may be made to enable individuals with disabilities to perform the essential functions.
The responsibilities listed above are not all inclusive and may be changed at any time based on the needs of the business.
Ready to apply?
Apply to Cision
Share this job
As an Engineering Manager, your primary responsibilities include:
Maintaining and improving current systems while designing and implementing new ones
What you have:
Ready to apply?
Apply to Cision
Cision has one of the largest media and content databases on Earth. Our data science team works on building intelligent and high-impact features driven by machine learning and NLP.
As a Staff Data Scientist, you will be part of our Machine Learning and Data Science team that build and deploy machine learning models used directly in our products. You will work on complex, high-visibility problems and collaborate closely with engineering, product, and analytics teams to turn prototypes into production-grade solutions.
This role is ideal for someone who operates with strong ownership, delivers high-quality work at pace, and acts as a subject-matter expert on key ML components or services.
Key Responsibilities
Develop and deliver complex machine learning and NLP solutions end-to-end.
Analyze large datasets to uncover insights, design features, and guide modeling decisions.
Build, test, and deploy ML models into production systems in partnership with engineering teams.
Work independently to create tools, frameworks, and reusable components that accelerate model development.
Collaborate cross-functionally with product managers, engineers, and analysts to translate prototypes into production-grade models and services.
Demonstrate sound judgment around risk, workload management, prioritization, and escalation.
Act as a go-to SME for your domain and contribute significantly to team commitments and delivery.
Required Qualifications
8+ years of professional experience in a software or ML engineering environment.
5+ years applying advanced statistical or machine learning techniques to real-world business problems.
Advanced degree in a quantitative field (e.g., Statistics, Mathematics, Economics, Computer Science, Machine Learning) or equivalent practical experience.
Proven track record of delivering ML solutions used in production.
Strong proficiency with Python and ML-focused libraries such as Pandas, NumPy, scikit-learn, TensorFlow, or PyTorch.
Hands-on experience with cloud-based ML workflows in GCP and/or AWS (Kubernetes, Nvidia Triton, Vertex AI, Sagemaker, and similar tools)
Proficiency with database query languages (QL) and experience working with large-scale datasets.
Ability to clearly communicate complex technical concepts to non-technical audiences.
Strong sense of ownership, accountability, and commitment to quality.
Preferred Qualifications
Experience with modern NLP techniques and pretrained model ecosystems.
Experience building scalable data pipelines or model-serving architectures.
Familiarity with MLOps concepts and practices.
Experience in building production-quality and scalable inf inerence systems with Python, Java, or general-purpose languages.
What Your Day-to-Day Might Look Like
Experimenting with various modeling techniques using GCP Vertex AI or AWS SageMaker.
Analyzing model performance and implementing strategies to improve accuracy, robustness, and reliability.
Designing and engineering new features based on exploratory data analysis.
Identifying, evaluating, and adapting open-source models to solve NLP and ML tasks.
Partnering with engineers to optimize ML models for deployment and monitoring.
Ready to apply?
Apply to Cision
We’re looking for a skilled JavaScript/TypeScript Engineer to join Brandwatch’s Listen team. You’ll help build and evolve a data-rich, customizable web application embedded within our partners’ platforms, enabling “light social listening” capabilities.
This product allows partners to understand, explore, and engage with their customers across social media through actionable digital consumer insights.
You’ll work within a cross-functional, autonomous team, collaborating closely with product managers, designers, and backend engineers to deliver high-quality features end-to-end.
What You’ll Do
Must-Have Skills
Nice to Have
What Success Looks Like
Please note that this position is only available to candidates who are currently residing in Hungary. Unfortunately, we are unable to consider applicants outside of the country.
Ready to apply?
Apply to Cision
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