Senior Machine Learning Engineer (Python/MLOps)

eConsulting; Województwo mazowieckie; Hybrid; PLN 240,000 - 360,000; Full time

Benefits offered by this job

Benefits package (private health, etc)

English lessons

Training library

Sports activities

Team-building events

Sales Incentive Program

Refer-a-Friend Program

Job summary

eConsulting is looking for a Senior Machine Learning Engineer to own end-to-end deployment of AI models for geospatial data at scale from Warsaw. You will shape real-time services and transform hundreds of millions of rows into reliable outputs, leveraging Ray Serve, AWS, and modern MLOps practices.

You'll collaborate with data scientists and platform engineers, driving production readiness, monitoring, and CI/CD integration to maintain robust, scalable ML solutions in a hybrid Warsaw

Qualifications

• 5+ years of Python in a professional ML/engineering context.
• Strong data engineering, SQL, and orchestration with Airflow/Spark.
• Experience deploying and operating ML models in production.
• Solid software engineering fundamentals and collaborative coding.
• Hands-on MLOps and CI/CD experience.
• Excellent communication with data scientists and engineers.

Responsibilities

• Own deployment of new risk models and scores into production on Ray Serve.
• Work with large-scale data sets and build custom workflows on existing platform foundations.
• Own data transformation pipelines for geospatial maps to modelling attributes.
• Collaborate with platform and infra engineers for reliable running on large data sets.
• Embed MLOps and CI/CD best practices into the Insurance AI workflow.

Skills

Python

Data engineering

SQL

Airflow

Spark

ML deployment

Model monitoring

MLOps

CI/CD

Communication

Education

Degree in Computer Science or related field

Tools

AWS

Docker

Ray Serve

REST API

Job description

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 i Julia