AI/ML Team Lead

About the Role

Key Responsibilities

• Lead and mentor a team of AI/ML Engineers, Data Scientists, and Developers.
• Design, develop, and deploy AI/ML solutions for complex business problems.
• Provide technical leadership across the complete AI/ML development lifecycle.
• Work closely with Solution Architects and Engineering Leaders to define technical approaches and implementation strategies.
• Develop and implement Machine Learning and Deep Learning models.
• Design and develop Generative AI and LLM-based applications.
• Build solutions using RAG, embeddings, vector databases, prompt engineering, and AI agents.
• Evaluate and integrate appropriate AI/ML models, frameworks, and third-party AI services.
• Review code, technical designs, models, and implementation approaches to ensure quality and scalability.
• Establish best practices for AI/ML development, testing, deployment, monitoring, and model evaluation.
• Work with DevOps/MLOps teams to deploy and maintain AI/ML models in production.
• Troubleshoot model performance, scalability, latency, and reliability issues.
• Conduct technical POCs and experiments to validate new AI/ML technologies.
• Stay updated with emerging developments in Generative AI, LLMs, Agentic AI, and Machine Learning.
• Collaborate with cross-functional teams to translate business requirements into effective AI/ML solutions.
• Participate in client discussions, technical workshops, solution discussions, and demonstrations.
• Support estimation, technical planning, and project execution activities.
• Identify technical risks and proactively define appropriate solutions.

Required Technical Skills

• 5+ years of experience in AI/ML, Data Science, Software Engineering, or a related field.
• Strong hands-on experience with Python.
• Strong understanding of Machine Learning and Deep Learning algorithms.
• Experience with frameworks such as PyTorch, TensorFlow, Scikit-learn, or equivalent.
• Strong experience with Generative AI and Large Language Models (LLMs).
• Hands-on experience with RAG, embeddings, vector databases, prompt engineering, and LLM integration.
• Experience with AI frameworks/tools such as LangChain, LangGraph, LlamaIndex, Hugging Face, or equivalent.
• Experience working with models/APIs such as OpenAI, Azure OpenAI, Gemini, Claude, or equivalent.
• Understanding of NLP, Computer Vision, recommendation systems, predictive analytics, or related AI/ML domains.
• Experience with REST APIs, microservices, databases, and cloud-based applications.
• Good understanding of MLOps, model deployment, monitoring, CI/CD, Docker, and Kubernetes.
• Experience with at least one major cloud platform — AWS, Azure, or GCP.

Team Leadership

• Lead and mentor AI/ML engineers and developers.
• Conduct technical reviews and provide constructive feedback.
• Define development standards and best practices for the team.
• Support team members in solving complex technical challenges.
• Participate in technical hiring and evaluation of AI/ML talent.
• Plan technical tasks and ensure timely delivery.
• Promote knowledge sharing, experimentation, and continuous learning within the team.

Preferred Qualifications

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related discipline.
• Experience delivering AI/ML solutions for enterprise clients.
• Experience with Agentic AI and multi-agent systems.
• Experience with production-scale LLM applications.
• Experience with AI model evaluation, observability, security, and governance.
• Experience working in an Agile/Scrum development environment.