MLOps Engineer – Portfolio Optimisation, Customer Analytics Platform
Madiff
full-time
Posted on:
Location Type: Remote
Location: Poland
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Tech Stack
About the role
- Design and operate training and deployment pipelines for analytical and optimisation models
- Automate model retraining, validation, and promotion processes
- Ensure reproducibility and consistency across development, testing, and production environments
- Support scalable analytical workloads across cloud platforms
- Enable structured exposure of model outputs to LangChain and LangGraph workflows
- Monitor performance, stability, and reliability of ML pipelines
- Collaborate closely with data scientists and analytics teams to streamline experimentation to production
Requirements
- Strong experience in MLOps or ML platform engineering
- Solid Python skills for automation and tooling
- Hands on experience with Docker and Kubernetes
- Practical experience with MLflow or similar model lifecycle management tools
- Experience with workflow orchestration tools such as Airflow
- Hands on experience with CI/CD pipelines
- Experience working with cloud data platforms
- Strong understanding of reproducibility and environment management
- Fluent English for professional collaboration
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
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
MLOpsML platform engineeringPythonDockerKubernetesMLflowworkflow orchestrationAirflowCI/CD pipelinescloud data platforms
Soft Skills
collaborationcommunicationexperimentationproblem-solvingreproducibilityenvironment management