ENTRADA AI SPÓŁKA Z OGRANICZONĄ ODPOWIEDZIALNOŚCIĄ

Databricks Data Architect (Healthcare & Life Sciences)

200 - 250 PLN/ godz./ godz.B2BB2B (netto)

SeniorZdalnie·KrakówFull-time·B2B

#438491·Dodano miesiąc temu·7

Źródło: justjoin.it

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Tech Stack / Keywords

DatabricksDIACOMMONAIPySpark AWS Azure

Podsumowanie oferty

As a Data Architect, you will lead the design and deployment of end-to-end AI lifecycles for global healthcare and life sciences clients. The role focuses on architecting scalable, production-grade ML systems on the Databricks Lakehouse. You will balance technical expertise in deep learning with consulting skills to advise on clinical validation, regulatory compliance, and AI strategy.

Wymagania

5+ years in Machine Learning or Data Science, with at least 3 years deploying models within the Databricks ecosystem.
Proven experience handling medical imaging formats (DICOM, NIfTI, WSI) and familiarity with libraries such as MONAI, SimpleITK, or OpenCV.
Advanced proficiency in Python (PyData stack) and SQL; experience with PySpark for large-scale data manipulation.
Production experience in Azure (Azure Machine Learning, ADLS Gen2) or AWS (SageMaker, S3), focusing on GPU instance management and cost optimization.
Expertise in MLflow for the full ML lifecycle and experience with Delta Lake and Databricks Model Serving or TorchServe.
Strong understanding of deep learning architectures (CNNs, Transformers, SegNet) and evaluation metrics for medical diagnostics.
Fluent English (C1+) for client collaboration and ability to explain complex algorithms to non-technical stakeholders.
Commitment to technical excellence, ideally with certifications such as Databricks Machine Learning Professional or specialized cloud AI certifications.

Obowiązki

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 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 data lineage and security protocols via Unity Catalog, ensuring compliance with healthcare regulatory standards (HIPAA/GDPR/HITRUST).
Advise clients on building vs. buying medical AI tools and share best practices on model interpretability and bias mitigation in clinical settings.
Implement CI/CD for ML (Git integration, Databricks Asset Bundles) and promote the use of Feature Stores to ensure consistency between training and real-time inference.

Benefity

Cooperation models: Employment Contract (UoP) or B2B in Poland; B2B only in Romania and Greece.
100% remote work possibility within Poland, Romania, or Greece.
Provided Apple MacBook Air M4 15" for all engineers.
Referral bonus for bringing top-tier engineers.
Professional growth support including certification coverage, industry leadership programs, opportunities to present at global conferences, and mentorship with Databricks MVPs and product teams.

Inne informacje

By applying, candidates consent to data processing for recruitment. The data controller is ENTRADA AI Sp. z o.o. based in Kraków, Poland.

ENTRADA AI SPÓŁKA Z OGRANICZONĄ ODPOWIEDZIALNOŚCIĄ

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