AI Engineer working on AI tooling strategies and optimization at K - tronik. Collaborating with teams in technology and communication sectors based in Munich.
About the role
- ML & AI Engineer at CreditorWatch building ML infrastructure and managing production workflows. Collaborating with data scientists to transition models from research to production.
Responsibilities
- Build and design production-grade ML systems and lifecycle management
- Develop and maintain feature stores, model registries, and artefact tracking systems to support reproducibility and governance
- Collaborate with data scientists to transition models from research to production, ensuring scalability and compliance
- Build and maintain MCP servers, vector databases to design, support, and implement AI initiatives
Requirements
- Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Science, or a related field
- 5+ years of experience in machine learning engineering, with a strong focus on production deployment and MLOps
- Proven experience with ML platform tools such as MLflow, Sagemaker, Vertex AI, or similar, and cloud platforms (AWS, GCP, Azure) and integrated data platforms, Databricks, Snowflake
- Deep understanding of AI/MLOps practices, including CI/CD pipelines, monitoring, and end-to-end model lifecycle management in production environments
- Experience building MLOps in Databricks highly regarded
- Strong experience in Python, SQL and/or other codebases
Benefits
- Fitness First Platinum gym membership
- Barista-made coffee, breakfast, snacks, lunches and drinks
- Phone Credits - $50 per month
- Wellness Days – additional day off each month
- Monthly in-house massages
- Performance-based bonuses
- Employee Share Scheme
- Monthly team building activities
- Access to free legal services
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
AI Architect responsible for designing secure and scalable AI architecture solutions. Contributing to Envalior’s global digital transformation with cutting - edge AI technologies and governance.
AI Engineer developing and implementing AI strategies for tech cluster at citema systems GmbH. Acting as a main point of contact for AI - related requirements between departments.
Full - stack Software Engineer developing infrastructure and applications to provide service in healthcare. Building tools for both engineers and non - engineers in an AI - native environment.
AI Engineer responsible for developing AI - driven features and managing enterprise customer solutions. Collaborate across teams to build and scale AI systems for enterprise clients.
Engineering Manager leading a strong team to build AI - driven applications for revenue systems. Focused on hybrid collaboration and innovative technology solutions in Bengaluru.
AI Developer working with LLM applications at Reaktor. Involves AI technologies to solve real human problems in a collaborative environment.
AI Developer designing innovative AI solutions for Phytocontrol's food safety and environmental analysis. Collaborating with teams to deploy machine learning models and enhance data processes.
Vice President, Chief AI Architect at Pfizer responsible for defining enterprise AI architecture and governance. Collaborating across R&D, Manufacturing, and Commercial to enable AI breakthroughs.
Chief Engineer leading the design and build of API infrastructure and AI workflows at Wolters Kluwer. Overseeing platform architecture, engineering standards, and team performance in a hybrid role.