Sr. Data AI/ML Engineer

Key Responsibilities:

• Design and deploy applications using Generative AI and large language models (e.g., GPT-4, Claude, OpenWeight LLMs).

• Develop solutions with retrieval-augmented generation (RAG), embeddings-based search, and prompt chaining.

• Build and optimize data pipelines using Azure Databricks and Delta Lake.

• Work extensively with Spark, Python, SQL, and modern data stack components.

• Manage data warehousing, transformation, and orchestration for scalable analytics.

• Collaborate with global stakeholders to define and deliver high-impact AI/ML solutions.

Required Skills & Experience:

• 7+ years of hands-on experience in Data Engineering, Machine Learning, and AI model deployment.

• Proven expertise in LLM/GenAI frameworks such as LangChain, LlamaIndex, HuggingFace Transformers, Semantic Kernel, or LangGraph.

• Strong SQL knowledge and experience with relational and NoSQL databases.

• Advanced proficiency in Spark, Python, SQL, and Azure Databricks.

• In-depth knowledge of Data Warehousing, Delta Lake, and ETL pipeline optimization.

• Working knowledge of Fivetran is a plus.

• Excellent communication and stakeholder management skills.