Data Scientist + Databricks AI/ML - Sr Architect

Job description

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.