Requirements: English
Company: hubQuest
Region: Warsaw , Masovian Voivodeship
We are a team of tech enthusiasts on a mission to bring together the best minds in IT services and analytics. To create cutting-edge IT and Analytical Hubs that empower our partners to become truly data-driven organizations.
We are looking for a hands-on Senior ML Platform Engineer to support one of hubQuests partners in building a global analytics solution. This is a unique opportunity to work on a high-impact internal platform used by Data Scientists across the organization to seamlessly build, run, and productionize machine learning pipelines.
This role is strongly MLOps-oriented , combining deep software engineering expertise with a strong understanding of ML lifecycle management, automation, and platform design.
Youll contribute to the development of an internal ML enablement platform a CLI + backend-based solution designed to make it easier and faster for Data Scientists to create, run, and productionize complex machine learning pipelines. Building and evolving the MLOps framework for running, monitoring, and deploying DS pipelines.
Designing and maintaining platform components to automate and simplify ML workflows.
Automating workflows using Databricks Workflows .
Building and maintaining a FastAPI backend to expose results and trigger simulations/optimizations.
Contributing to CI/CD processes using Azure DevOps .
Working with Azure services like Web Apps, Redis, ADLS , and more.
2+ years of experience as an MLOps Engineer in production environments.
~ Strong software engineering skills in Python , especially in data-heavy contexts.
~2+ years of data engineering experience.
~ Experience with Azure DevOps , including CI/CD pipelines.
~ Solid understanding of the ML lifecycle and infrastructure for ML workflows.
~ Fluent in English.
Experience with FastAPI or similar Python frameworks.
Familiarity with MLflow , Databricks , or Azure ML pipelines.
About the project
Youll join a global, cross-functional Analytics team made up of Data Scientists, ML Engineers, MLOps Engineers, Software Developers, and more. The team spans several countries and is focused on creating scalable, smart data products to drive business decisions.
Flexible remote or hybrid setup with a modern office in Warsaw .
Join a diverse and experienced international team.
No red tape just real tech challenges and ownership.
Benefits: private medical care, Multisport , access to online learning and certifications.
If you''re passionate about empowering ML teams through engineering, automating workflows, and building tools that scale apply now and join our mission at hubQuest!