Senior Machine Learning Engineer (Python/MLOps)

Summary: The Senior Machine Learning Engineer will own the deployment of advanced AI models and risk scores into production using Ray Serve and AWS. This role involves transforming large-scale geospatial data into reliable real-time services, managing data pipelines, and embedding MLOps best practices within the Insurance AI...

Workplace: hybrid, Warsaw

Workload: Full-time

Type of Contract: B2B

Join our fast-growing team as a Senior Machine Learning Engineer and shape the future of geospatial data analysis using a cutting-edge tech stack, including Ray Serve and AWS. In this role, you will take full engineering ownership of deploying advanced AI models, transforming raw data at a scale of hundreds of millions of rows into reliable, real-time services.

Key Responsibilities

• Owning the deployment of new risk models and scores into production on Ray Serve, and lifting the Insurance AI team's deployment maturity.
• Working with large-scale data sets (hundreds of millions of rows) and building custom workflows on top of existing platform foundations.
• Owning data transformation pipelines that turn semantic geospatial maps of a property into attributes suitable for categorical modelling.
• Collaborating with platform and infrastructure engineers to ensure solutions run reliably on our large data sets and accelerated model inferencing.
• Embedding MLOps and CI/CD best practice into the Insurance AI workflow, and feeding requirements back into the central platform.

Required Skills and Experience

• At least 5 years of industry experience writing Python in a professional software or ML engineering context.
• Strong data engineering skills, SQL, and hands-on experience with workflow orchestration tools such as Airflow, Spark, or similar.
• A track record of deploying and operating ML models in production, including serving infrastructure, monitoring, and the realities of keeping models healthy over time.
• Solid software engineering fundamentals: clean, maintainable, well-tested code, and fluency in a shared codebase (feature branches, pull request reviews, collaborative development).
• Hands-on MLOps and CI/CD experience.
• Strong communication skills, including the ability to work with Data Scientists and other non-platform engineers without losing the technical plot, and to mentor others in good engineering practice.
• A degree in Computer Science or a related technical field, or equivalent practical experience.

Nice to have

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

What do we offer?

• Benefits package (private health insurance, sports card, group insurance).
• Free English lessons with a dedicated teacher.
• Access to an extensive training library covering both soft and technical skills.
• Sports activities.
• Team-building events, contests, and challenges.
• Sales Incentive Program and Refer-a-Friend Program.

Who we are – in a nutshell:

We are a leader in technology services for companies in regulated industries. We have completed hundreds of projects for clients around the world and have over 24 years of experience in the market, with a particular focus on areas such as life sciences, QA, validation, cloud systems, human capital management (HCM), and Salesforce.

Industry: We operate globaly in the IT sector z własnym zapleczem developerskim

Clients: Oriflame, Sanofi, Coca-Cola and many others.

How do we work? See what our employees say👉 [Piotr](https://www.linkedin.com/posts/econsulting_get-to-know-us-meet-piotr-whats-it-activity-7350793093538856960-eDtQ?utm_source=share&utm_medium=member_desktop&rcm=ACoAAB9nACQBsIM440bw5jn6id1p__JKzg3OnyE) i [Julia](https://www.linkedin.com/posts/econsulting_get-to-know-us-meet-julia-this-video-activity-7328325738330304512-G4q7?utm_source=share&utm_medium=member_desktop&rcm=ACoAAB9nACQBsIM440bw5jn6id1p__JKzg3OnyE)