Job Openings AI/ML Expert & Technical Lead

About the job AI/ML Expert & Technical Lead

Experience Required: 7+ Years

Location: Remote/ Offshore

About the 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

Required Skills & Technical Expertise

  • 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


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