Machine learning expert állások, munkák it programozás, fejlesztés területen

• Writing and maintaining Python-based automated system and regression tests
• Expanding automated regression coverage and improving stability of test execution
• Evaluating daily automated test results and handling failures
• Owning and driving system-level testing activities within a Scrum team

• collaborating on the design and development of ML‑based applications and their backend components
• helping to select the most applicable solutions for a given business problem
• writing clean, efficient and well‑documented code
• contributing to our MLOps processes

• Shape and implement the company’s data science strategy and drive innovation, with a primary focus on Generative AI and Agentic workflows
• Identify opportunities to leverage data for business value and impact
• Take ownership of the full technical stack for development and deployment

Act as the key link between business and delivery teams, ensuring alignment with enterprise standards (architecture, security, compliance) and providing clear visibility on progress, risks, and trade-offs to senior stakeholders....

About YES-EU YES-EU Group is a leading European service provider specialising in high-voltage systems and battery technologies. Founded in Scandinavia and headquartered in Switzerland, YES-EU operates a growing network of service centres across Europe — including Norway, Denmark, Finland, France,...

• Integration of models into production systems
• Design of robust pipelines for real-time or batch data feeding into ML models
• Ensuring efficient model operation in production including speed, scalability, and memory usage

• Design, build, and maintain large-scale distributed data systems
• Develop data processing pipelines using technologies such as Spark and streaming solutions
• Work on systems that evaluate and ensure the quality and integrity of large-scale knowledge graphs

• Designing and developing new machine learning models with a focus on real-time performance
• Integrating cutting-edge ML features into the SkeleTRACK product
• Analysing model performance and identifying areas of improvement
• Mentoring junior engineers and driving technical discussions

You own the full lifecycle of machine learning models - from initial concept and experimentation through training and validation to reliable deployment on production-grade automotive systems....

You develop advanced machine learning-based architectures for automated driving functions and shape the way in which we scale our ML development....

• Trusted advisor at the intersection of business strategy and data
• Ownership of full lifecycle from understanding client decision-making challenges to designing, building, and delivering BI solutions
• Lead client discovery and solutioning
• Own the information design layer

• Building and maintaining robust CI/CD pipelines for ML models and data workflows
• Automating and managing the end-to-end lifecycle of machine learning models from training to deployment and monitoring

• Design, develop, and optimize scalable data pipelines for processing large-scale structured and unstructured data
• Ensure reliability, performance, and scalability of data systems
• Build solutions to handle real-time streaming data from multiple sources

As a Machine Learning Engineer in our Retail ML team, you will take end‑to‑end ownership of designing, developing and maintaining advanced machine learning solutions that directly influence our commercial performance. Your work will span dynamic pricing, demand forecasting and data‑driven buying...

• Architect and implement cloud-native data solutions using GCP (BigQuery, Dataflow, Pub/Sub, Dataproc, Cloud Composer, Cloud Storage)
• Lead the design and development of complex data pipelines and distributed processing frameworks that ensure scalability, performance, and operational reliability

Ownership of Data Assets & strategy: Own pre-training, evaluation, and meta-data including proprietary, open-source, and synthetic datasets. Develop and execute vision....

• Learn how a modern data platform works by helping build and develop the Databricks environment for Procurement
• Learn how to create impactful dashboards by redesigning and improving Power BI reports used in real business decisions

As a research engineer in the semantic understanding and reasoning group (CR/AIR4) at Bosch Corporate Research, you will develop the next generation of agentic AI systems based on reinforcement learning, with a primary focus on applications in systems engineering. Your work will address how...

Team Leadership: You lead and develop a highly skilled team of developers working on cutting-edge Embedded AI and Edge AI solutions, fostering technical excellence, collaboration, and innovation in one of the most challenging areas of artificial intelligence....

You design and develop next-generation architecture at the intersection of multi-modal perception, foundation models, behavior learning, and end-to-end autonomous driving....