Machine Learning Engineer
Machine Learning Engineer
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Job Description
Role:
Build an automation platform which is scalable for all the AI use cases
Design develop and deploy scalable AI-driven solutions and agent-based with cross-functional teams including data engineers architects and platform to the evolution of our AI automation platform ensuring robustness performance and and implement state-of-the-art techniques in machine learning reinforcement learning and multi-agent in architectural decisions and help define best practices for AI engineering across the and manage Model Context Protocol (MCP) servers to enable persistent context-aware agent behavior across workflows.
Essential requirements:
Proven experience in software developmentMachine learning ideally with a focus on AI automation or intelligent programming skills in Python or similar with automation tools such as n8n Workato or similar with LLMs (e.g. GPT Claude Gemini) and frameworks for agent orchestration such as LangChain Vextex AI Agent Builder or -on experience with vibe-coding prompt engineering and designing agent of scalable system design and distributed problem-solving skills and a collaborative : Experience with agent-based modeling reinforcement learning or orchestration platforms.
Please explain how you meet all the requirements when applying.
Utilization: 100%
Location: Stockholm
Period:
Last day to apply:
We present regularly. This means that we sometimes remove the assignements from our website before the final application deadline. If you are interested in an assignement we recommend that you submit your application as soon as possible.
Employment Type
Full Time
