Data Scientist + Databricks AI/ML - Sr Architect
Birlasoft
Full Time6+ yearsPosted about 2 hours ago
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Overview
Position Type
Full Time
Experience
6+ years
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.