<ul><li>Lead the day-to-day development of AI solutions, including writing production-grade code and building scalable systems.</li><li>Candidate should have good hands-on -Design & Development - Full SDLC in Python, .Net and Strong in Gen AI area. </li><li>Interact directly with customers to understand requirements, propose solutions, and ensure successful delivery.</li><li>Design and implement AI-driven features such as chatbots, recommendation engines, Agentic AI, and automation tools.</li><li>Build secure and scalable AI pipelines that integrate with enterprise systems and cloud platforms.</li><li>Evaluate and apply AI frameworks, libraries, and platforms aligned with business and technical needs.</li><li>Select and implement machine learning algorithms, NLP models, and other Gen AI technologies.</li><li>Ensure compliance with data privacy, security, and ethical standards in all AI/ML implementations.</li><li>Stay current with advancements in Gen AI tools and recommend their adoption within engineering teams.</li><li>Provide technical mentorship to developers and engineers working on AI initiatives.</li><li>Maintain clear documentation and architecture diagrams for deployed AI solutions.</li></ul>
Lead the day-to-day development of AI solutions, including writing production-grade code and building scalable systems.
Candidate should have good hands-on -Design & Development - Full SDLC in Python, .Net and Strong in Gen AI area.
Interact directly with customers to understand requirements, propose solutions, and ensure successful delivery.
Design and implement AI-driven features such as chatbots, recommendation engines, Agentic AI, and automation tools.
Build secure and scalable AI pipelines that integrate with enterprise systems and cloud platforms.
Evaluate and apply AI frameworks, libraries, and platforms aligned with business and technical needs.
Select and implement machine learning algorithms, NLP models, and other Gen AI technologies.
Ensure compliance with data privacy, security, and ethical standards in all AI/ML implementations.
Stay current with advancements in Gen AI tools and recommend their adoption within engineering teams.
Provide technical mentorship to developers and engineers working on AI initiatives.
Maintain clear documentation and architecture diagrams for deployed AI solutions.