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.