What you'll do
Build and optimize ETL/ELT pipelines on Databricks using PySpark and Delta Lake, ensuring both performance and scalability.
Develop, train, and deploy machine learning and deep learning models (TensorFlow, PyTorch) into production environments.
Apply MLOps best practices, including MLflow for experiment tracking, Unity Catalog for governance, CI/CD pipelines (Azure DevOps, Databricks Asset Bundles), and automated testing.
Perform performance tuning on Spark jobs, data pipelines, and ML workloads.
Design and operate cloud-native architectures with Azure, Kubernetes, and Docker for deploying ML solutions.
Collaborate closely with data scientists and engineers to bring models from prototype to production.
What you need
Master’s degree (or equivalent) in Computer Science, Data Engineering, or a related field.
At least 4 years of hands-on experience with Databricks in production environments.
Strong Python OOP skills, including experience with packaging tools (uv, poetry, or similar) and adherence to clean code practices.
Solid background in ML & DL, with production deployment experience (TensorFlow, PyTorch).
Advanced knowledge of statistics and time series analysis (e.g., histograms, heatmaps, interpolation, integrals, derivatives).
Practical experience with common data formats (CSV, JSON, Parquet, Delta Lake).
Strong expertise in Azure, including Azure Databricks, ADLS, AAD, and Unity Catalog.
CI/CD experience with Azure DevOps Pipelines, automated testing pipelines, and Databricks Asset Bundles.
Familiarity with automotive data (vehicle signals, test benches, simulations) is a strong plus.
Why this matters
A role with true technical ownership: architecture, scaling, and governance decisions that directly impact production AI solutions.
Complex projects that go beyond “just pipelines” – covering big data processing and large-scale ML/DL deployment.
Opportunities to deepen your expertise in Databricks, cloud-native ML, and MLOps.
A team where your input and technical decisions truly matter.
A competitive package and benefits.
