Deputy General Manager - IndiaAI

Preferred :-

Candidate who can join immediately/15-20 Days/ Serving notice period

Prior experience working with the government and know- how of government programme processes.

Role & responsibilities

Job Description: Deputy General Manager

Project: IndiaAI

The DGM will focus on coordination of Foundation Model initiatives, technical handholding of startups / technology partners, and implementation of approved activities. He will also require to manage technical coordination of Foundation Model initiatives, including review of model architecture, training / fine-tuning approach, technical roadmap, milestone deliverables and deployment plan. The role shall ensure that model development activities are aligned with approved scope, timelines and programme objectives, and shall resolve implementation-level technical issues requiring coordination with compute providers, research institutions, domain experts and internal divisions.

A. Roles and Responsibilities

i. Coordinate implementation of approved Foundation Model initiatives, including activity planning, milestone tracking and progress review.

ii. Provide technical handholding to startups / technology partners on model development plans, data strategy, compute plans, benchmarking approach and deliverable submissions.

iii. Review technical aspects of proposals, including model architecture, pre-training / fine-tuning approach, data readiness, compute requirement, scalability and deployment-readiness.

iv. Coordinate with startups, academic / research institutions, cloud / compute providers, technical experts, committees and internal divisions for issue resolution.

v. Monitor model development lifecycle activities, including data preparation, training, fine-tuning, evaluation, validation, inference-readiness and post-deployment monitoring.

vi. Ensure technical scope, deliverables, milestones, validation parameters and acceptance criteria are reflected in MoUs / contracts / work orders.

vii. Prepare technical review notes, progress briefs, risk notes and presentations for review by competent authority.

viii. Identify technical, operational and implementation challenges and recommend corrective actions.

Preferred candidate profile

B. Education

B.E. / B.Tech / M.Tech / MCA in Computer Science, IT, AI/ML, Data Science, Electronics & Communication, Computer Engineering, Software Engineering or equivalent related technical discipline from a recognised University / Institution

. Desirable Skills & Experience

i. Total Experience: Minimum 12 years in AI/ML, IT programme implementation, digital transformation, R&D or technology-led programmes.

ii. Experience in Foundation Models, LLMs, generative AI, NLP, computer vision or related AI/ML systems.

iii. Understanding of model lifecycle, compute infrastructure, benchmarking, MLOps, deployment-readiness and Government programme processes.