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