Senior Machine Learning Operations Engineer

Remote
This Job is No Longer Active This position is no longer accepting applications
AI Summary

We're hiring a Senior Machine Learning Operations Engineer to help design, deploy, and scale intelligent autonomous systems in production. This is a hands-on role where you'll take ML models from development to production and continuously optimize them in a real business environment. You'll work on impactful, real-world AI solutions focused on Insurance Fraud Detection, leveraging modern LLMs, agent orchestration, and robust MLOps practices.

Key Highlights
Design, deploy, and scale intelligent autonomous systems
Develop, deploy, and maintain machine learning models in production
Collaborate closely with data engineering, backend, and product teams
Technical Skills Required
Python Microsoft Azure ML LangChain LlamaIndex Kubernetes Docker
Benefits & Perks
€500/day
Fully Remote
Long-Term B2B Contract

Job Description


Senior MLOps Engineer | €500/day | Fully Remote | Long-Term B2B Contract


We’re hiring an experienced Machine Learning Engineer to help design, deploy, and scale intelligent autonomous systems in production. You’ll work on impactful, real-world AI solutions focused on Insurance Fraud Detection, leveraging modern LLMs, agent orchestration, and robust MLOps practices.


This is a hands-on role where you’ll take ML models from development to production and continuously optimize them in a real business environment.


What You’ll Do

  • Develop, deploy, and maintain machine learning models in production
  • Use MLOps practices
  • Build retrieval, reasoning, and tool-execution pipelines for autonomous agents
  • Integrate AI agents with APIs, databases, and production systems
  • Monitor performance, optimize models, and iterate on agent behavior
  • Collaborate closely with data engineering, backend, and product teams to deliver end-to-end AI solutions.


What We’re Looking For

  • Strong hands-on experience deploying ML models in production
  • Solid background in MLOps, with Microsoft Azure ML
  • Excellent Python skills
  • Experience with LangChain, LlamaIndex, or similar LLM frameworks
  • Knowledge of LLM orchestration, prompt engineering, and retrieval systems (RAG)
  • Comfortable shipping AI systems to production
  • Strong communication skills and fluent English


Nice to Have

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


Immediate interview slots available.


Please apply with CV if of interest.


Thanks!


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