Description

You will design, build, and deploy end-to-end Machine Learning and Generative AI systems.

Responsibilities

• Design, implement, and optimize ML and GenAI pipelines using Azure Databricks.
• Build and deploy Retrieval-Augmented Generation (RAG) systems and agentic AI systems with tool use.
• Develop, deploy, and monitor ML models and agents in production environments with proper serving and observability.
• Conduct Exploratory Data Analysis (EDA), feature engineering, and NAS experiments to improve model performance.
• Collaborate with data engineers and product managers to integrate ML/GenAI solutions into business workflows.

Required Skills

• 5+ years of experience in ML/AI roles, with demonstrated ability to design and optimize models from scratch.
• Strong expertise in the Azure ecosystem, including Azure Databricks, Data Lake, Data Factory, and Synapse.
• Hands-on experience with Generative AI, LLMs, RAG, and agentic frameworks with tool use.
• Proficiency in Python and core ML libraries (NumPy, Pandas).
• Experience leveraging frameworks such as LangChain, LangGraph, and LangSmith.
• Solid knowledge of deep learning frameworks, specifically PyTorch.
• Experience building and optimizing regression, classification, and forecasting models.
• Familiarity with GPU-enabled ML/GenAI workflows and model serving practices.

Key Skills

Education

Any Graduate