onsite
Data Scientist - Machine Learning & Python - HCLTech
Data Scientist
Lead the design, development, and deployment of AI agents and machine learning models using Python, TensorFlow, and PyTorch on Microsoft Azure, building secure, scalable solutions with GenAI and LLMs.
About the role
Key Responsibilities
- Design, train, and deploy machine learning models and AI agents using TensorFlow, PyTorch, and other modern frameworks.
- Build and experiment with generative AI models and agentic workflows on Azure AI platforms such as Databricks, Fabric, and AI Foundry.
- Integrate large language models (LLMs) into production systems, ensuring security, scalability, and compliance.
- Collaborate with cross‑functional teams to translate business requirements into data‑driven solutions.
- Maintain and optimize model performance, monitoring, and continuous improvement pipelines.
Requirements
- Proven experience in Python and deep learning libraries (TensorFlow, PyTorch).
- Strong background in Microsoft Azure services, especially Azure Databricks, Fabric, and AI Foundry.
- Hands‑on experience building and deploying GenAI models and intelligent agents.
- Excellent problem‑solving skills and ability to work in a fast‑paced, collaborative environment.
- Effective communication skills for presenting technical concepts to non‑technical stakeholders.
Skills
pythontensorflowpytorchgenerative ai