AI/ML Engineers :

Primary Skill :

- Proficient in Python and other relevant programming languages.

Secondary Skill/Qualifications :

- 3 years of hands-on experience with machine learning frameworks and libraries (such as TensorFlow, PyTorch, or similar).

- 2 years of hands-on experience in developing and deploying AI agents and machine learning models.

- Machine learning frameworks and libraries (such as TensorFlow, PyTorch, or similar), developing and deploying AI agents and machine learning models.

- Demonstrate deep expertise in cloud technologies, with a strong focus on Microsoft Azure, including expertise in Azure Data and AI platforms (such as Databricks, Fabric, and AI Foundry).

- Build and experiment with GenAI models and agentic workflows.

- 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.

- Demonstrate deep expertise in 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).

- Build and experiment with GenAI models and agentic workflows, contributing to the development of intelligent security solutions.

- Collaborate across the stack, supporting backend services, model pipelines, and frontend interfaces for agentic systems.

- Prototype rapidly, iterate on ideas, and contribute to incubation efforts in a startup-style environment.

- Work closely with senior engineers and researchers, learning best practices and contributing to production-grade AI systems.