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 :

Qualifications:

Bachelors or masters 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

Remote Work :

No

Employment Type :

Full-time