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Cognizant
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AI Research Scientist

AI Research Scientist

Cognizant

2 - 10 years

0 Lacs

karnataka

Posted:1 day ago| Platform: Shine logo

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Skills Required

evolutionary algorithms machine learning evolutionary computation python llms ai generative ai multiagent systems ai for decisionmaking ai orchestration trustworthy ai openended ai pytorch tensorflow langchain keras scikitlearn

Work Mode

On-site

Job Type

Full Time

Job Description

Role Overview: As an AI Research Scientist at Cognizant, you will be joining the Advanced AI R&D lab team in Bangalore, India. Your primary responsibility will be to develop novel approaches to solving fundamental scientific problems and challenges using core technologies such as LLMs, evolutionary algorithms, and other machine learning and AI techniques. You will collaborate with a diverse team to advance the state-of-the-art AI with a focus on Generative AI, LLMs, and domain-specific AI solutions. 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 to advance AI capabilities. - Publish research findings in top-tier peer-reviewed journals and conferences such as 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. - Mentor junior researchers and engineers. - Advise AI engineers on the development of practical applications. Qualification Required: - 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 frameworks such as PyTorch, TensorFlow, LangChain, Keras, Scikit-Learn. - Strong problem-solving and analytical 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.,

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AI Research Scientist