AI Research Scientist

Job Role: AI Research Scientist

Experience: 10+ years

Location: Bangalore, India

About Cognizant

Join a rapidly growing consulting and IT services Fortune 500 company with around 350,000 employees worldwide, a very flexible international business, customers that are leaders in their respective sectors, and a high level of commitment.

About CAIL:

The Cognizant AI Labs were created to pioneer scientific innovation and bridge the gap to commercial applications. The AI Labs collaborate with institutions, academia and technology partners to develop groundbreaking AI solutions responsibly. The Lab’s mission is to maximize human potential with decision AI, a combination of multi-agent architectures, generative AI, deep learning, evolutionary AI and trustworthy techniques to create sophisticated decision-making systems. Through scientific publications, open-source software, AI for Good projects and the Cognizant Neuro® AI decisioning platform and Multi-Agent Accelerator, the AI Labs support our goal of improving everyday life.

bout the role:

We are seeking a passionate and driven AI Research Scientist to join our Advanced AI R&D lab team in India. You will work with the Advanced AI Labs research team to develop novel approaches to solving fundamental scientific problems and challenges from real-world applications, using core technologies such as LLMs, evolutionary algorithms, and other machine learning and AI techniques. As an AI Research Scientist, you will focus on advancing the state-of-the-art AI with emphasis on Generative AI, LLMs, and domain specific AI solutions. You will collaborate with other researchers, engineers, business stakeholders, architects, and domain experts to translate research breakthroughs into scalable products and solutions.

Detailed Job Description:

Your role:

As a research scientist, you will work with the Advanced AI Labs research team to understand and push the frontiers of AI, using core technologies such as LLMs, evolutionary algorithms, and other machine learning and AI techniques. The team's current research is focused around areas including, but not limited to:

· Multi-agent systems

· AI for decision-making

· AI orchestration

· Trustworthy AI

· Open-ended AI

· LLMs

· Evolutionary computation

Key Responsibilities:

● Conduct advanced research in AI/ML, Generative AI, LLMs, and adjacent fields to solve complex and impactful business and societal problems (AI-for-Good).

● Design, develop, and optimize models and algorithms involving novel architecture and training methodologies and advance AI capabilities.

● Publish research findings in top-tier peer-reviewed journals and conferences, e.g., IEEE

● Collaborate cross-functionally with product teams, AI engineers, domain SMEs, and client teams to transition research prototypes into production ready solutions

● Contribute to open-source communities through active GitHub engagement

● Stay abreast of the latest developments

● Mentor junior researchers and engineers

● Advise AI engineers on the development of practical applications

Your Profile:

● PhD in Computer Science or another technical field. Exceptional bachelor’s or master’s degree candidates will also be considered.

● The ideal candidate will have theoretical and hands-on experience with LLMs.

● 2 years of experience with multi-agents

● 5+ years of experience in AI or ML research

● Publications at venues such as IEEE, ICLR, NeurIPS, GECCO, ALife, AAAI, IJCAI, ICML, etc.

● Strong implementation skills

● Strong development and debugging skills in Python

● Experience with AI framework such as PyTorch, TensorFlow, LangChain, Keras, Scikit-Learn

● Strong problem-solving and analytic skills

● Strong attention to detail and ability to work independently

● Excellent verbal and written communication skills

● Strong publication record in top-tier conferences, workshops or journals.