RiDiK (a Subsidiary of CLPS. Nasdaq: CLPS)
Website:
clpsglobal.com
Job details:
Position - Head AI
Location - Bangalore
We are establishing a world class AI research center called “AI Technology Innovation Center” (TIC) in Bengaluru. The TIC will drive research in frontier AI technology with top AI talent and state-of-the-art infrastructure. The research breakthrough will lead to commercialization of next generation AI solutions. The AI TIC is being strategically designed to establish a globally recognized leader in AI research and development, driving innovation and setting industry benchmarks. The TIC aims to attract, nurture, and retain top-tier AI talent in India by fostering a dynamic, inclusive, and high-impact work environment that encourages continuous learning and breakthrough thinking.
By seamlessly integrating commercial agility with a pioneering scientific mindset, we will deliver scalable AI solutions that address real-world challenges while pushing the frontiers of technology. This ensures that our AI-TIC excels in cutting-edge research and translates discoveries into tangible business value, reinforcing our position as a hub for AI excellence.
Experience and leadership
Ph.D. or master’s in Computer Science, Machine Learning, Mathematics, Computational Linguistics, or a related field.
10–15 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 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.
Key Responsibilities:
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.
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.
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).
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.
Click on Apply to know more.
