Title: Lead AI/ML Architect (Gen AI)
Location: Remote
Duration: Long Term Contract
Keynote : (Must-Have – Very Strong Requirement)
• Candidate must have very strong, hands-on experience in both Machine Learning AND Generative AI (LLMs).
• Should not be limited to theoretical knowledge — must have built and deployed real-world ML models and GenAI applications in production.
• Strong expertise in end-to-end ML lifecycle + LLM-based solution design (RAG, prompt engineering, fine-tuning).
• Profiles with only Data Analysis or basic ML exposure will NOT be considered.
Summary:
• We are looking for a highly skilled AI/ML & Generative AI Architect / Lead Engineer to design, build, and deploy scalable AI solutions. This role requires deep expertise in machine learning, deep learning, and Generative AI (LLMs) along with strong experience in MLOps and production deployment.
Key Responsibilities:
• AI/ML & GenAI Solution Development
• Design and develop end-to-end ML and Generative AI solutions
• Build, fine-tune, and optimize ML models and LLM-based applications
• Implement advanced use cases using RAG (Retrieval-Augmented Generation)
• LLM & Generative AI Implementation
• Develop LLM-powered applications (chatbots, copilots, document intelligence systems)
• Work with LangChain, LlamaIndex, Hugging Face
• Integrate vector databases (Pinecone, FAISS, Chroma)
• MLOps & Deployment
• Build and manage MLOps pipelines and CI/CD workflows
• Deploy scalable AI systems using APIs, containers, and cloud platforms
• Implement monitoring for model performance, drift, and LLM output quality
• Architecture & Leadership
• Define and drive scalable AI architecture
• Lead and mentor engineering teams
• Conduct design and code reviews
Required Skills:
• 12-15 + years of experience in AI/ML Engineering or Data Science
• Strong programming skills in Python
• Expertise in Machine Learning + Deep Learning (core fundamentals must be strong)
• Hands-on experience with Generative AI / LLMs (GPT, transformers)
• Strong experience in RAG, prompt engineering, fine-tuning
• Experience with TensorFlow / PyTorch / Scikit-learn
• Strong experience in MLOps, CI/CD, and model deployment
• Experience with Docker, Kubernetes
• Cloud experience: AWS / Azure / Google Cloud Platform
Qualifications:
• Experience in Healthcare or regulated domains
• Experience building production-grade GenAI applications
• Knowledge of Responsible AI / AI governance
• Strong leadership and stakeholder management skills
Never miss an opportunity! Create an alert based on the job you applied for.
