Lead Principal Data Scientist - AI Research (3-8 yrs)

Company Description :

MNR Solutions Pvt. Ltd. is a premier staffing solutions company focused on delivering highly suitable talent profiles with fast turnaround times and strong quality standards. We are hiring for one of our Premium Client for Bangalore location.

A 80+ years old global Indian multinational technology, consulting, and business process services corporation headquartered in Bengaluru. It is one of the world's leading IT service providers, helping clients across 65+ countries navigate digital transformation using cloud, AI, and cybersecurity.

Key Responsibilities :

1. Research Leadership :

- Define and drive the research roadmap in LLMs, multimodal AI, and Generative AI.

- Lead the authoring and publication of top-tier research papers (e.g., NeurIPS, ICML, ACL, CVPR).

- Stay at the forefront of AI advancements and translate research into practical, scalable solutions.

2. Algorithm & System Design :

- Design and optimize novel algorithms for generative modeling, NLP, and agentic AI under system and compute constraints.

- Lead the development of high-performance training pipelines for large-scale models, including distributed training and inference optimization.

3. Product & Platform Development :

- Architect and implement end-to-end GenAI systems, including prompt orchestration, retrieval-augmented generation (RAG), and agentic workflows.

- Collaborate with engineering, product, and data science teams to integrate AI solutions into production environments.

- Build and maintain highly scalable backend microservices and real-time inference systems on cloud platforms (AWS, GCP, Azure).

4. Mentorship & Collaboration :

- Mentor junior scientists / engineers in GenAI best practices and research methodologies.

- Work cross-functionally to align AI initiatives with business goals and customer needs.

Required Qualifications :

- Ph.D. or Masters in Computer Science, Machine Learning, Mathematics, Computational Linguistics, or a related field.

- 10 to15 years of industry and/or academic experience in AI/ML, with 7+ years in NLP and Generative AI.

- Demonstrated leadership in publishing top-tier research such as NeruralIPS, ICLR, ICML, AAAI, and CVPR in LLMs, multimodal models, or related areas.

- Proven experience in large-scale model training, optimization, and deployment.

- Expertise in Python, with proficiency in frameworks such as Hugging Face Transformers, TensorFlow, PyTorch, Keras, JAX.

- Deep understanding of LLMs, multimodal AI, embedding models, vector databases, and agentic AI.

- Experience with MLOps/LLMOps tools (e.g., MLflow, Weights & Biases, DVC, SageMaker, Vertex AI).

- Strong system design skills, including distributed systems, data pipelines, and API development.