Job Description - AI Researcher

Role: AI Researcher

Experience: 7-10 Years

Location: Hybrid / Mumbai

We are looking for a highly skilled and research-oriented AI Researcher with strong expertise in Artificial Intelligence, Generative AI, Machine Learning, and Production Engineering. The ideal candidate should have hands-on experience in taking AI/ML models from research to production deployment and should possess strong academic and research credentials.

Key Responsibilities:

- Design, develop, and deploy advanced AI/ML and Generative AI models.

- Work on end-to-end AI model lifecycle from research, experimentation, validation, deployment, and monitoring.

- Develop scalable AI solutions using MLOps best practices.

- Research and implement Transformer-based architectures and Deep Learning models.

- Build Explainable AI (XAI) frameworks for transparent and interpretable AI systems.

- Collaborate with engineering and business teams to solve real-world financial services problems.

- Publish and contribute to research papers in AI/ML/GenAI domains.

- Optimize AI models for production-grade performance, scalability, and reliability.

Mandatory Requirements

- M.Tech or PhD is mandatory.

- 7-10 years of relevant experience in AI/ML/GenAI.

- Minimum 2-3 research publications in AI / GenAI / ML / Data Science.

- Strong understanding of Transformer Architecture.

- Hands-on expertise in MLOps and model deployment.

- Strong knowledge of Deep Learning and Reinforcement Learning.

- Experience with Explainable AI (XAI).

- Ability to work across both research and production engineering environments.

Preferred Skills :

- Experience in Banking, Financial Services, Credit Risk, or FinTech domain.

- Hands-on exposure to cloud platforms and scalable AI infrastructure.

- Strong programming experience in Python and AI/ML frameworks.

- Experience with data pipelines, APIs, and enterprise AI integration.

Key Technologies :

- Python

- TensorFlow / PyTorch

- MLOps

- Transformer Models

- LLMs / Generative AI

- Deep Learning

- Reinforcement Learning

- Explainable AI (XAI)

- Cloud Platforms