Senior Machine Learning Engineer Python/MLOps

We are a leader in technology services for companies in regulated industries with over 24 years of experience. Our clients include Oriflame, Sanofi, Coca-Cola, and many others. We operate globally in the IT sector with our own development resources.

• At least 5 years of professional experience writing Python in software or ML engineering contexts.
• Strong data engineering skills, SQL proficiency, and experience with workflow orchestration tools such as Airflow and Spark.
• Proven track record of deploying and operating ML models in production, including serving infrastructure and monitoring.
• Solid software engineering fundamentals including clean, maintainable, and well-tested code.
• Hands-on experience with MLOps and CI/CD.
• Strong communication skills to collaborate with Data Scientists and mentor others.
• Degree in Computer Science or related technical field, or equivalent practical experience.

Nice to have:

• AWS experience (S3, EC2, ECS).
• Docker and containerized environments.
• Experience with Ray or other distributed compute frameworks.
• REST API integration at scale.
• Familiarity with geospatial data.

• Owning the deployment of new risk models and scores into production on Ray Serve, enhancing the Insurance AI team's deployment maturity.
• Working with large-scale data sets (hundreds of millions of rows) and building custom workflows on existing platform foundations.
• Owning data transformation pipelines converting semantic geospatial maps into attributes for categorical modeling.
• Collaborating with platform and infrastructure engineers to ensure reliable operation on large data sets and accelerated model inferencing.
• Embedding MLOps and CI/CD best practices into the Insurance AI workflow and providing feedback to the central platform.