Director - Data Science & AI Research

Job Description:

Roles and Responsibilities:

• Experience in any two Python/Java/R/.Net software languages.
• Experience in one of databases like SQL/MongoDB etc.
• Experience in AI stacks like Pytorch, TensorFlow, Nemo/NIM, Unsloth, Agentic AI – Lang graph, MS AI Foundry, Hugging Face, Chroma DB/FAISS etc
• Experience in MLOps and AI deployment infrastructure.
• Experience in AWS/Azure/Google Cloud Services.
• Knowledge of responsible AI practices, including bias mitigation and ethical AI use

1. Technical & Strategic Leadership

• Define and execute AI strategies aligned with business goals.

• Drive architectural decisions and innovation in AI-powered products.

2. Generative & Agentic AI

• Build and deploy GenAI models for text generation and content automation.

• Experience on working latest AI stacks like Nvidia- Nemo, NIM Microservices, Unsloth, Pytorch, Tensorflow etc.

• Develop agentic AI systems with autonomous task planning and decision-making capabilities.

• Apply latest deep learning advancements (transformers, diffusion models, etc.) to real-world use cases.

3. Large Language Models (LLMs)

• Fine-tune and operationalize LLMs (e.g., GPT, Llama, BERT) for NLP tasks using Nemo, NIM, Unsloth etc frameworks

• Work closely with product teams to integrate LLMs into applications.

• Establish the best practices for LLMOps, including prompt engineering and monitoring.

4. Deep Learning and NLP components

• Experience in developing like QnA, chatbots, Image/Video/Audio processing, OCR based components like Extraction etc.

• Experience in designing and implementing end-to-end pipelines for Retrieval-Augmented Generation (RAG), including document indexing, retrieval mechanisms• Experience in evaluating AI solutions using appropriate metrics

5. Collaboration & Stakeholder Engagement

• Translating business needs into ML solutions in partnership with product and engineering teams.

• Communicate insights and recommendations to stakeholders across levels.

• Promote a culture of data-driven decision-making.

6. Research & Innovation

• Stay updated on the latest in AI/ML and contribute to R&D efforts.

• Encourage experimentation, POCs, and technical publications.

Qualifications:

• Bachelors or master’s in computer science, Artificial Intelligence, or a related field.

• 10+ years of experience in AI/ML, NLP, Deep Learning, Gen AI, Model fine tuning, Reinforcement learning, etc.

• Expertise in developing AI-driven systems, with a deep understanding of the entire AI model lifecycle, from design to deployment and maintenance.

• Should be able communicate with cross functional teams like Product/BUs team for understanding requirements.

• Ability to explain things to Business/Operations people in non-technical language.

• Proven ability to work independently, manage multiple projects simultaneously, and adapt to changing priorities in a fast-paced environment