(15h Left) Senior Manager - Computer Vision

About the Client

ARA’s client TechGlobal (pseudonym) is a global leader in strategy, technology consulting and digital services, enabling clients in more than 100+ countries to implement cutting edge solutions in their transformation journey. TechGlobal helps businesses become digital-first and digital-ready. The company has a global presence with 600000+ employees ( 200000+ in India). India is a focus for them with their Development Centres presence in over 10 locations across Tier 1 and Tier 2 cities. They are recognised for their people first and employee oriented policies. Along with offering hybrid work options, a Pan India presence gives flexible location options to employees.

Their Centre for Adv AI focuses on building scalable enterprise AI and Gen AI based solutions for various industries such as - Financial Services, Utilities, Energy, Manufacturing, Retail, Communications, Heath & Public Services, and Products.

The Applied AI Research and Innovation Group, is focusing on foundational and applied research in the various fields of AI & Gen AI, Model building / training / finetuning, Agentic AI, etc. to develops offerings which can be utilized for complex and challenging client delivery projects.

Role : Senior Manager - AI / ML - Computer Vision

The Sr. Manager will Develop applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.

Roles & Responsibilities :

• Lead efforts in supervised fine-tuning, reinforcement learning from human feedback (RLHF), and instruction tuning. Innovate on techniques for continual learning and domain adaptation.
• Understand LLM fine tuning techniques such as PEFT, LoRA, QLoRA etc.
• Develop evaluation frameworks for model safety, bias, and performance.
• Collaborate with multiple stakeholders like policy and Responsible AI teams to ensure responsible AI practices, consulting team to provide technical depth in AI, studio team to position our findings for client pitches, business team to arrive at a research roadmap, academia and industry partners for pushing the research boundaries.
• Publish and present novel and innovative research findings in top AI venues.
• Develop an internal AI talent and foster a culture of continuous learning across practice and organization. Mentor a team of researchers and engineers.
• Support client engagements by providing consulting and solutioning for complex client problems by brining in niche AI skills and utilizing advanced internal and external frameworks and accelerators.

Professional & Technical Skills :