AI/ML Tower Head

Job Title: AI/ML Tower Head

• Define and implement the AI/ML roadmap aligned with organizational digital transformation goals.
• Establish and lead the AI/ML Center of Excellence (CoE) focusing on scalable and reusable frameworks.
• Partner with CXOs, delivery leaders, and clients to identify AI-driven business opportunities.

Technical Leadership:

• Oversee end-to-end lifecycle of AI/ML projects from data ingestion and feature engineering to model deployment and monitoring.
• Lead teams across areas such as Natural Language Processing (NLP), Computer Vision, Predictive Analytics, and Generative AI.
• Ensure the use of cutting-edge technologies (Python, TensorFlow, PyTorch, OpenAI APIs, Azure ML, AWS SageMaker, etc.).
• Govern MLOps practices ensuring automation, scalability, and model governance.

Team & Capability Development:

• Build, mentor, and scale AI/ML teams comprising data scientists, ML engineers, and AI architects.
• Define competency frameworks, training paths, and certification goals.
• Drive a culture of innovation and continuous learning in the team.

Delivery & Governance:

• Ensure timely, high-quality delivery of AI/ML solutions across projects.
• Establish best practices for AI project estimation, delivery methodologies, and quality assurance.
• Define KPIs for performance, efficiency, and ROI tracking of AI initiatives.

Pre-Sales & Business Growth:

• Partner with sales and solution teams in RFP/RFI responses and client presentations.
• Create AI solution accelerators and thought leadership collaterals.
• Identify and pursue new business opportunities leveraging AI/ML capabilities.

Required Skills & Qualifications:

• Proven experience in managing large AI/ML programs in enterprise environments.
• Hands-on expertise in Python, TensorFlow, PyTorch, Scikit-learn, MLflow, and data visualization tools.
• Strong understanding of cloud platforms Azure, AWS, or GCP.
• Familiarity with GenAI tools and LLM frameworks (OpenAI, LangChain, Hugging Face, etc.).
• Excellent leadership, communication, and stakeholder management skills.
• Prior experience in setting up AI CoE or delivery tower is highly desirable.

Preferred Certifications:

• Microsoft Certified: Azure AI Engineer Associate / Data Scientist Associate
• AWS Certified Machine Learning Specialty
• Google Professional Machine Learning Engineer
• Executive Program in AI/ML from reputed institutions (IIM, ISB, Stanford, etc.)