AI/ML Technical Lead(7+ Years of IT Exp)

Job Description

We build breakthrough software products that power digital businesses. We are an innovative product development partner whose solutions drive rapid revenue, market share, and customer growth for industry leaders in Software and SaaS, Media and Publishing, Information Services, and Retail. Our key differentiator is our Product Mindset. Our development teams focus on building for outcomes and all of our team members around the globe are trained on the Product Mindset?s core values ? Minimize Time to Value, Solve For Need, and Excel at Change. Our teams apply this mindset to build digital products that are customer-facing and revenue-generating. Our business-minded approach to agile development ensures that we align to client goals from the earliest conceptual stages through market launch and beyond. In 2024, 3Pillar Global India was named as a ?Great Place to Work? for the fifth year in a row based on how our employees feel about our company, collaborative culture, and work/life balance - come join our growing team Job Description Lead the design, development, and deployment of advanced AI/ML solutions, including LLM-powered applications. Architect and implement agentic AI workflows, multi-agent systems, and autonomous reasoning pipelines. Build scalable applications using LangChain, retrieval-augmented generation (RAG), vector databases, and tool integrations. Mentor and lead a team of ML engineers, data scientists, and AI developers. Collaborate with cross-functional teams (Product, Engineering, Data) to define AI strategies and roadmaps. Optimize model performance, latency, reliability, and cost efficiency. Evaluate new AI frameworks, libraries, and models for integration into the stack. Ensure best practices for code quality, ML Ops, versioning, testing, and monitoring Must Have Skills 7+ years of experience in AI/ML development, including leading technical teams. Strong expertise in agentic AI concepts, multi-agent orchestration, and autonomous tool-using AI systems. Hands-on experience with LangChain (chains, agents, custom tools, memory, LLM orchestration). Experience in Agentic AI. Experience in Computer Vision. Proficiency with modern LLMs (OpenAI, Anthropic, Llama, Mistral, etc.) and fine-tuning methods. Deep knowledge of Python and ML frameworks (PyTorch, TensorFlow, Hugging Face). Experience building and deploying RAG systems using vector databases (Pinecone, Chroma, Weaviate, etc.). Strong understanding of ML Ops, CI/CD, containerization (Docker), and cloud platforms (AWS, GCP, Azure).