Responsibilities
- Build and maintain CI/CD pipelines for machine learning models
- Operationalise model lifecycle processes including versioning, promotion, and rollback
- Deploy and operate LangChain and LangGraph based services in production
- Implement monitoring for model performance, drift detection, and runtime failures
- Ensure traceability, auditability, and compliance readiness in regulated environments
- Collaborate with data scientists and ML engineers to support smooth model releases
- Optimise reliability, scalability, and security of ML and GenAI workloads
Basic qualifications
- Strong hands on experience in MLOps or ML platform engineering
- Solid Python skills for automation and tooling
- Experience with Docker and Kubernetes in production environments
- Practical experience with MLflow or similar model lifecycle management tools
- Hands on experience with CI/CD pipelines
- Experience working with Azure or AWS cloud platforms
- Understanding of monitoring and observability for ML systems
- Ability to operate in regulated or compliance heavy environments
- Fluent English for professional collaboration
Preferred qualifications
- Experience deploying LangChain or LangGraph based services
- Exposure to banking, fintech, or fraud detection systems
- Experience with model governance and regulatory documentation
- Familiarity with high availability and low latency systems
Benefits
- Solid, competitive salary
- Work in a multinational environment on international projects
- Comprehensive healthcare
- Long-term B2B contract with a stable project pipeline
- Remote work model
Tags & focus areas
Used for matching and alerts on DevFound Fulltime Remote Machine Learning Mlops Ai