We are seeking a Machine Learning Engineer to build and scale intelligent autonomous systems. The successful candidate will deploy ML models and work on high-impact projects involving LLMs and workflow automation. The role involves collaborating with cross-functional teams to deliver end-to-end solutions.
Key Highlights
Technical Skills Required
Benefits & Perks
Job Description
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.
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