AI Architect – Generative AI & Machine Learning

Read jd before applying Experience 6-9 years only. Strong AI Architect Profile with end-to-end ML / Deep Learning / GenAI ownership Mandatory (Experience 1) – Must have 6+ years of experience, with atleast 4+ years in AI/ML, or Machine Learning Engineering. Mandatory (Experience 2) – Must have atleast 3+ years of hands-on experience building and deploying Generative AI solutions, including LLMs, RAG, AI agents, fine-tuning, prompt engineering, and related technologies. Mandatory (Tech skill 1) – Must have worked at architecture level (not engineering-only), designing end-to-end, scalable, secure AI systems through deployment Mandatory (Tech skill 1) – Must have strong proficiency in Python along with AI or ML libraries such as TensorFlow, PyTorch and Scikit-learn. Mandatory (Tech skill 2) – Must have hands-on experience with Machine Learning, Deep Learning and NLP, including model fine-tuning and LLMs. Mandatory (Tech skill 4) – Must have experience with MLOps tooling (MLflow, Kubeflow or Azure ML), a cloud platform (Azure, AWS or GCP), and containerization (Docker, Kubernetes). Mandatory (Mentoring) – Must have led / mentored AI engineers (architect-level leadership) Mandatory (Communication) – Must have strong stakeholder management and requirement-gathering experience with US or UK clients. Mandatory (Company) – Must come from a B2B IT services or IT consulting background