Description

You will engineer and deploy advanced AI/ML solutions, focusing on Generative AI applications and scalable data pipelines.

This role is remote.

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.

Key Skills

Education

Any Gradute