Machine Learning Engineer (MLOps) - Autonomous Systems

Machine Learning Engineer (MLOps) | €300 Per Day | Fully Remote | Long-Term B2B Contract

About the Role:

We’re looking for an Machine Learning Engineer to help build and scale intelligent autonomous systems. You will be deploying ML Models. You’ll work on high-impact projects involving LLMs, agent orchestration, and workflow automation, contributing directly to real-world AI-powered products that help detect Insurance Fraud.

Key Responsibilities:

• Develop and deploy Machine Learning Models
• Build retrieval, reasoning, and tool-execution pipelines for autonomous task completion.
• Integrate agents with APIs, databases, and production systems.
• Monitor performance, implement improvements, and optimize agent behavior.
• Collaborate with data engineering, backend, and product teams to deliver end-to-end solutions.

Required Skills & Experience:

• Hands-on experience deploying ML Models & Using MLOps & Microsoft Azure ML
• Strong Python skills; experience with frameworks like LangChain, LlamaIndex, or similar.
• Familiarity with LLM orchestration, prompt engineering, and retrieval systems.
• Experience deploying AI systems to production.
• Strong analytical and communication skills; fluent in English.

Preferred Qualifications:

• Education: Computer Science or Machine Learning Degree Education
• Experience with multi-agent systems, fine-tuning, or RAG optimization.
• Cloud experience (Azure preferred).
• Familiarity with REST APIs, Docker, or Kubernetes.

Please apply as interview stages are commencing immediately.