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Design, develop, and deploy machine learning models, large language models, and end-to-end AI workflows in Databricks, while building scalable Delta Lake pipelines with PySpark and Python. Manage the ML lifecycle with MLflow, optimize performance and cost, integrate AI models into business applications and APIs, and implement governance and security using Unity Catalog.
AI/ML Development: Design, develop, and deploy machine learning models, LLMs, and AI workflows within the Databricks environment.
Data Pipeline Engineering: Build scalable, efficient Delta Lake pipelines using PySpark and Python to ingest, clean, and preprocess large-scale datasets for AI applications.
MLOps Implementation: Set up and manage the ML lifecycle using MLflow for model tracking, versioning, deployment, and monitoring.
Optimization & Performance: Optimize PySpark jobs, Databricks clusters, and Python code for maximum performance and cost efficiency.
Collaboration & Integration: Partner with Data Scientists, Data Engineers, and DevOps teams to integrate AI models into core business applications and APIs.
Governance & Security: Implement Unity Catalog for data governance, access control, and lineage tracking across AI assets.
AI/ML Development: Design, develop, and deploy machine learning models, LLMs, and AI workflows within the Databricks environment.
Data Pipeline Engineering: Build scalable, efficient Delta Lake pipelines using PySpark and Python to ingest, clean, and preprocess large-scale datasets for AI applications.
MLOps Implementation: Set up and manage the ML lifecycle using MLflow for model tracking, versioning, deployment, and monitoring.
Optimization & Performance: Optimize PySpark jobs, Databricks clusters, and Python code for maximum performance and cost efficiency.
Collaboration & Integration: Partner with Data Scientists, Data Engineers, and DevOps teams to integrate AI models into core business applications and APIs.
Governance & Security: Implement Unity Catalog for data governance, access control, and lineage tracking across AI assets.
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