Data Scientist + Databricks AI/ML - Sr Architect
Area(s) of responsibility
Key Responsibilities:
Design and develop end-to-end AI/ML and GenAI solutions leveraging Snowflake Cortex and Databricks Mosaic AI ecosystem.
Build intelligent applications using Databricks Genie and Agent Bricks for conversational analytics and AI agents.
Develop scalable feature engineering pipelines using modern data platforms.
Implement LLM-based use cases including RAG, embeddings, and AI assistants.
Collaborate with cross-functional teams to translate business problems into AI-driven solutions.
Perform model tuning, evaluation, and lifecycle management with MLOps best practices.
Ensure enterprise-grade governance, security, and compliance in AI pipelines.
Drive innovation across NLP, GenAI, and predictive analytics capabilities.
Mandatory Skills (Strict Requirement):
Hands-on experience with Snowflake Cortex (LLM functions, embeddings, model inference, AI services).
Strong expertise in Databricks Mosaic AI, Databricks Genie, and Agent Bricks.
Proven experience in building and deploying GenAI, LLM, and AI agent-based solutions.
Strong programming expertise in Python, PySpark, and ML frameworks (TensorFlow, PyTorch, scikit-learn).
Experience with Snowflake Snowpark and Databricks Delta Lake.
Strong understanding of MLOps, model lifecycle, and CI/CD practices.
Expertise in structured and unstructured data processing at scale.
Strong SQL and distributed computing experience.
Experience integrating AI/ML APIs within enterprise ecosystems.
Preferred Qualifications:
Experience with vector databases and RAG frameworks.
Exposure to cloud platforms (AWS, Azure, GCP).
Experience with MLflow, experiment tracking, and model registry.
Knowledge of BI tools like Tableau or Power BI.
Relevant certifications in Snowflake or Databricks AI/ML.
Experience Requirement:
6-12 years of experience in Data Science, AI/ML, and GenAI roles.
Mandatory proven experience in Snowflake Cortex and Databricks AI stack implementations.
Educational Qualification:
Bachelor's or Master's degree in Computer Science, Data Science, AI, Statistics, or related field.
Advanced certifications in AI/ML, Snowflake, or Databricks preferred.
