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RESEARCH AND DEVELOPMENT

Are you risking irrelevance in a fast-paced innovation landscape? Research and development (R&D) is an essential process in many businesses that involves methodical inquiry and testing to create new goods, services, or processes or improve ones that exist already.

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Research And Development Scientist - AI Ethics&Responsible AI, Bengaluru

Research And Development Scientist - AI Ethics&Responsible AI, Bengaluru

locationBangalore Urban

About the Position Quantiphi is an award-winning AI-first digital engineering company, driven by a deep desire to solve transformational problems at the heart of businesses. Our signature approach combines groundbreaking machine-learning research with disciplined cloud and data-engineering practices to create breakthrough impact at unprecedented speed.Quantiphi has seen 2.5x growth YoY since its inception in 2013, growing to 4000+ team members globally. For more details visit: Role: Research And Development Scientist - AI Ethics&Responsible AI Location: Bangalore/ Mumbai Responsibilities: Collaborate with cross-functional teams to build trustworthy AI systems, and support business offerings leveraging responsible AI principles toward customers Design and lead experiments and use cases to explore and implement Responsible AI principles and best practicesDesign governance structure and training programs to promote awareness and adoption of responsible AI principles, support with the implementation of responsible AI across the organization, in different business units and segments Contribute towards publications at top ML conferences and scientific journals, in the field of Responsible AIStay up-to-date with the latest research trends and tools related to Responsible AI and integrate them into various businesses across the org Requirements: A PhD or Master's degree in Computer Science, Artificial Intelligence, or a related field Strong technical skills in Machine Learning, Deep Learning, and StatisticsExperience with Responsible AI frameworks and technical tools, for implementing techniques adhering to principles and best practices Experience with techniques to identify data quality and bias, building trust worthy AI, explainable and interpretable AI systems, testing techniques to evaluate bias and trustworthiness of deployed AI systems.Excellent written and verbal communication skills, with a proven ability to contribute to publications at top ML conferences and/or journals Strong collaboration and teamwork skills, with an ability to work effectively with cross-functional teams. Familiarity with recent AI trends, such as Generative AI, and an ability to integrate them with AI Ethics, is a huge plusExperience in knowledge dissemination and training sessions in related fields, is also an advantage no -- Principals only. Recruiters, please don’t contact this job advertiser. no -- Please, no phone calls about this job! no -- Reposting this message elsewhere is NOT OK.

Research & Development