Noida, Uttar Pradesh
Job Summary
Pipeline development, 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, 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.
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.
Key Responsibilities
1. To be responsible for providing technical guidance to a team of developers, enhancing their technical capabilities and increasing productivity.
2. To conduct comprehensive code reviews, establish and oversee quality assurance processes, performance optimization , implementation of best practices and coding standards to ensure successful delivery of complex projects.
3. To ensure process compliance in the assigned module| and participate in technical discussions/review as a technical consultant for feasibility study (technical alternatives, best packages, supporting architecture best practices, technical risks, breakdown into components, estimations).
4. To collaborate with stakeholders to define project scope, objectives, deliverables and accordingly prepare and submit status reports for minimizing exposure & closure of escalations.
#body.unify div.unify-button-container .unify-apply-now: focus, #body.unify div.unify-button-container .unify-apply-#body.unify div.unify-button-container .unify-apply-now: focus, #body.unify div.unify-button-container .unify-apply-
