Databricks Data Architect (Healthcare & Life Sciences)
New
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Entrada AIHealthcare AI
100% Remote: Full flexibility to work from anywhere in Poland/ Romania / GreeceFull-TimeSenior
Salary33,600 - 42,000 PLN per hour
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Job Details
- Languages
- Fluent English (C1+)
- Experience
- 5+ years
- Required Skills
- AWSPythonSQLMLFlowPyTorchAzureDatabricksPySpark
Requirements
- 5+ years in Machine Learning or Data Science.
- At least 3 years of hands-on experience deploying models within the Databricks ecosystem.
- Proven experience handling medical imaging formats (DICOM, NIfTI, WSI).
- Familiarity with specialized libraries such as MONAI, SimpleITK, or OpenCV.
- Advanced proficiency in Python (PyData stack) and SQL.
- Essential experience with PySpark for large-scale data manipulation.
- Production experience in Azure (Machine Learning, ADLS Gen2) or AWS (SageMaker, S3).
- Expertise in MLflow for the full lifecycle.
- Experience with Delta Lake and Databricks Model Serving or TorchServe.
- Strong understanding of Deep Learning architectures (CNNs, Transformers, SegNet).
- Fluent English (C1+) for direct client collaboration.
Responsibilities
- Design and implement scalable computer vision pipelines using PyTorch or TensorFlow, leveraging Databricks Runtime for ML to process large-scale medical imaging datasets (DICOM, NIfTI).
- Architect end-to-end MLOps workflows using MLflow for experiment tracking, model versioning, and transition from research to production-grade Model Serving.
- Develop efficient data loaders and preprocessing steps for high-dimensional medical data, utilizing Apache Spark to parallelize image transformation and feature extraction.
- Enforce rigorous data lineage and security protocols via Unity Catalog, ensuring all model training and inference processes meet healthcare regulatory standards (HIPAA/GDPR/HITRUST).
- Act as a strategic advisor for clients on medical AI tools, model interpretability, and bias mitigation in clinical settings.
- Implement CI/CD for ML including Git integration and Databricks Asset Bundles, and promote the use of Feature Stores.
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