AI/ML Expert & Technical Lead

About the job

About the AI/ML Expert & Technical Lead role

We are seeking a highly experienced AI/ML Expert & Technical Lead with 7+ years of hands-on experience in artificial intelligence and machine learning. This role requires strong technical leadership, deep AI/ML expertise, and the ability to design and oversee scalable AI-driven solutions. You will be responsible for end-to-end solution architecture, AI model strategy, and ensuring high-quality implementation across applications.

Key Responsibilities

  • Lead overall solution architecture and provide technical leadership across AI/ML initiatives
  • Design, develop, and validate AI/ML models aligned with business objectives
  • Select appropriate AI/ML approaches, including LLM-based solutions
  • Oversee AI integration into production-grade applications and enterprise systems
  • Drive architectural decisions and ensure scalability, reliability, and performance
  • Establish technical best practices, governance standards, and quality assurance processes
  • Collaborate with cross-functional teams including product, engineering, and data teams
  • Mentor junior AI engineers and guide technical growth within the team
  • Stay updated with emerging AI/ML technologies and recommend adoption where appropriate

Requirements:

  • At least 7 years of relevant experience
  • Strong programming expertise in Python
  • Hands-on experience with PyTorch and TensorFlow
  • Experience with LLM frameworks such as LangChain and Hugging Face
  • Proficiency in Vector Databases (FAISS, Pinecone)
  • Experience with Cloud AI services (AWS, Azure, GCP)
  • Solid understanding of system architecture and design principles
  • Experience deploying AI models into scalable production environments
  • Strong understanding of MLOps, CI/CD pipelines for ML, and model monitoring

Preferred Qualifications:

  • Experience leading AI/ML teams or technical projects
  • Strong problem-solving and analytical skills
  • Experience with GenAI, RAG pipelines, or conversational AI systems
  • Knowledge of containerization (Docker, Kubernetes)
  • Excellent communication and stakeholder management skills