AI/ML Leader | 17 to 22 YoE | US-headquartered Cloud, Data and AI Services Organisation | Bangalore

Work Location: Bangalore, in a hybrid work arrangement.

Experience: 17 to 22 years

Hiring Partner: Geektrust

Our customer is a cloud-focused consulting company that helps global brands solve business challenges using AI, data, and cloud-native technology. As an AI/ML Leader , you will design and deliver scalable AI, ML, and GenAI solutions on GCP by turning business problems into reliable, production-ready systems that create real business value.

What you would do:

• Shape large-scale AI programs from first principles , defining the problem, designing the system, and ensuring solutions become core parts of client platforms rather than experimental add-ons.
• Engage directly with senior business leaders to understand strategic priorities and convert them into scalable AI, ML, and GenAI system designs with clear commercial outcomes.
• Architect and oversee advanced GenAI and autonomous AI systems , ensuring they are mathematically sound, operationally robust, and engineered for real-world complexity.
• Lead high-value AI engagements from a technical standpoint , supporting deal shaping, technical storytelling, and execution for enterprise-scale initiatives.
• Develop technical leadership at scale , mentoring senior practitioners, setting architectural direction, and establishing strong engineering and consulting standards across the practice.

What you need:

• Extensive experience delivering AI and machine learning solutions, including leading complex programs in consulting or fast-scaling technology organizations.
• Deep quantitative expertise in mathematics and statistics, with the ability to apply theory to model design, system behavior, and decision-making at scale.
• Advanced hands-on capability in Python-centric AI development , covering ML, deep learning, GenAI tooling, and production-quality software engineering.
• Strong, hands-on cloud-native AI experience in Google Cloudbased architectures (Vertex AI, data platforms, and ML operations).
• A proven track record in Generative and Agent-driven AI systems , combined with the ability to clearly articulate technical decisions to executives, clients, and engineering teams