Key Responsibilities:
Technical & Hands-on Leadership: Lead end-to-end design, development, and deployment of AI/ML solutions across use cases (NLP, CV, predictive analytics, Gen AI, recommendation systems). Be hands-on with model development, experimentation, training, evaluation, and optimization. Architect scalable AI platforms and pipelines (data ingestion, feature engineering, model lifecycle management, MLOps). Drive adoption of Gen AI/LLMs (prompt engineering, fine-tuning, RAG architectures, AI agents).
Co E Setup & Governance: Establish the AI Co E operating model, standards, and best practices. Define AI governance, model risk management, ethics, security, and compliance frameworks. Create reusable accelerators, frameworks, and reference architectures.
Business & Stakeholder Collaboration: Partner with business leaders, product teams, and engineering to identify high-impact AI use cases. Translate business problems into AI roadmaps with clear ROI and measurable outcomes. Act as a thought leader and advisor on AI strategy across the organization.
Team & Capability Building:



Build, mentor, and scale a high-performing team of data scientists, ML engineers, and AI engineers. Review code, models, and solution design to ensure quality and scalability. Upskill teams and drive an AI-first culture across the organization.
Required Skills & Experience:
Experience: 15-18 years of overall experience, with at least 1215 years in AI/ML, data science, or advanced analytics roles. Proven experience setting up or leading an AI Co E or large-scale AI programs. Strong track record of delivering production-grade AI solutions.
Technical Skills (Must-Have): Solid hands-on expertise in Python, ML frameworks (Tensor Flow, Py Torch, Scikit-learn). Deep understanding of ML algorithms, deep learning, NLP, and generative AI. Experience with LLMs (Open AI, Anthropic, open-source models), fine-tuning, and RAG. Solid experience in MLOps, CI/CD for ML, model monitoring, and lifecycle man

📌 Ai Coe Head (Mumbai)
🏢 VIP India
📍 Mumbai