MLOps Engineer — Player Performance Analytics

As a senior-level practitioner, you will move beyond execution into process engineering and advisory. Your impact will be defined by:

Migration Architecture: Standardize and document a repeatable "migration blueprint" to transition 60+ models from Azure ML Foundry into Databricks without service interruption.

Automated Validation: Replace manual, incomplete testing with robust, automated infrastructure. You’ll build the frameworks that ensure migrated models perform identically (or better) in their new home.

Lifecycle Management: Define and implement the long-term maintenance strategy, including sophisticated drift detection, accuracy monitoring, and automated retraining cadences.

Knowledge Leadership: Act as a peer-coach to the client’s internal MLOps person, transferring knowledge and building a shared, high-maturity capability.

Cross-Functional Collaboration: Partner closely with the existing embedded Data Engineering team to ensure seamless data flow via Delta Lake and Spark.

Databricks ML Mastery: Deep experience with the Databricks ecosystem, specifically MLflow (tracking, registry, deployment) and Model Serving.

Migration Experience: A proven track record of moving production models across platforms (e.g., from SageMaker or Azure ML to Databricks).

Production Observability: Expertise in building monitoring stacks for drift detection, model health, and real-time alerting.

ML Testing: Proficiency in building automated validation and integration testing pipelines specifically for ML workloads.

Azure Infrastructure: Familiarity with Azure ML / Azure ML Foundry as a source platform.

Domain Passion: Experience in or a deep interest in sports analytics (scouting, biomechanics, or player performance).

Data Fluency: Strong grasp of PySpark and Delta Lake.

DevOps DNA: Experience building CI/CD pipelines for ML using Azure DevOps.

Certification: Databricks Machine Learning Professional certification.

Competitive Salary: based on your experience and skills.

Stable Employment: Contract signed with our Polish entity (Entrada AI Poland).

100% Remote: Full flexibility to work from anywhere in Poland.

Apple Hardware: Macbook Air M4 15" provided.

Referral Bonus: Bonus for bringing other top-tier engineers to the team.

Professional Growth:

Databricks certification cost coverage.

Opportunity to present at industry conferences (building your personal brand).

Direct collaboration with Databricks MVPs and product teams.