{n "jobDescription": "

ML Engineer

Key Responsibilities:

- Develop and deploy AI agents and machine learning models using machine learning frameworks and libraries (such as TensorFlow, PyTorch, or similar).
- Design and implement intelligent AI agents leveraging large language models (LLMs), planning algorithms, and decision-making frameworks.
- Build secure, scalable AI agents and integrate into applications and workflows for robust, cross-platform deployment and enhanced user experience.
- Advance AI agent capabilities through research and performance evaluation, focusing on improved conversation, decision-making, adaptability, and the implementation of safety and guardrail mechanisms.
- Continuously optimize agent performance through feedback mechanisms, reinforcement learning, and user interaction analysis.
- Collaborate across the stack, supporting backend services, model pipelines, and frontend interfaces for agentic systems.

Required Qualifications:

- Proficient in Python and other relevant programming languages.
- Hands-on experience with machine learning frameworks and libraries (such as TensorFlow, PyTorch, or similar).
- Hands-on experience in developing and deploying AI agents and machine learning models.
- Experience with cloud technologies, with a strong focus on Microsoft Azure, including expertise in Azure Data and AI platforms (such as Databricks, Fabric, and Microsoft AI Foundry).




- Experience with GenAI models and agentic workflows.
- Experience with intelligent AI agents and planning algorithms.
- Experience with decision-making frameworks and safety mechanisms.

Technical Skills & Experience:

- Azure ML integration.
- Agentic workflow orchestration.
- Deployment architecture.
- Machine learning frameworks and libraries (such as TensorFlow, PyTorch, or similar).
- Developing and deploying AI agents and machine learning models.
- Intelligent AI agents and large language models (LLMs).
- Planning algorithms and decision-making frameworks.
- Secure, scalable AI agents and integration into applications and workflows.

Preferred Qualifications:

- Azure ML integration, agentic workflow orchestration, deployment architecture.
- GenAI models and agentic workflows.
- Intelligent AI agents and large language models (LLMs).
- Planning algorithms and decision-making frameworks.
- Secure, scalable AI agents and integration into applications and workflows.
- Rapid prototyping and iteration in a startup-style setting.
- Collaboration with senior engineers and researchers.

",n "requiredSkills": ["Machine Learning Frameworks", "Azure ML", "Agentic Workflow Orchestration", "Deployment Architecture", "Large Language Models", "Planning Algorithms", "Decision-Making Frameworks", "Secure AI Agents", "Scalable AI Agents", "GenAI Models"]n}

📌 ML Engineer (Hyderabad)
🏢 HCL INDIA
📍 Hyderabad