Description
You will engineer and deploy advanced AI/ML solutions.
Responsibilities
- Design and deploy applications using Generative AI and large language models (e.g., GPT-4, Claude, OpenWeight LLMs).
- Develop solutions utilizing retrieval-augmented generation (RAG), embeddings-based search, and prompt chaining.
- Build and optimize data pipelines using Azure Databricks and Delta Lake.
- Manage data warehousing, transformation, and orchestration for scalable analytics.
- Collaborate with global stakeholders to define and deliver high-impact AI/ML solutions.
Required Skills
- 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.
- Advanced proficiency in Spark, Python, and SQL.
- In-depth knowledge of Data Warehousing, Delta Lake, and ETL pipeline optimization.
- Strong SQL knowledge and experience with relational and NoSQL databases.
- Experience building and optimizing data pipelines using Azure Databricks.