3 Ai Fairness Jobs

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2.0 - 6.0 years

0 Lacs

pune, maharashtra

On-site

As a Legal Engineer at Pune, your main role is to execute legal workflows in AI development with a strong emphasis on trust, safety, compliance, and risk validation. You will be working closely with Senior and Principal Legal Engineers to support the ethical development of AI, document and mitigate legal risks, ensure internal compliance, conduct audits, and execute workflows efficiently. Additionally, you will be encouraged to participate in professional development and collaborate across different functions within the company. Key Responsibilities: - Organise baselines, define research methodologies, and support the structured execution of legal AI workflows. - Assist in audits, prepare pr...

Posted 1 month ago

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3.0 - 7.0 years

0 Lacs

karnataka

On-site

As a Responsible AI Data Scientist for Strategy and Talents Human-Centered AI and Innovation Department at Standard Chartered, you will be at the forefront of empowering responsible AI adoption within Strategy and Talent (S&T). Your role will involve shaping the future of employee/candidate-facing AI solutions that S&T enable and influence for the entire organization. You are expected to have a strong understanding of machine learning techniques and a keen interest in AI ethics, particularly focusing on addressing potential biases in data and algorithms, explainability, AI literacy, and strategies to promote transparency and accountability. Your key responsibilities will include: - Applying ...

Posted 2 months ago

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5.0 - 9.0 years

0 Lacs

karnataka

On-site

The individual will be responsible for governance for model delivery within SCMAC along with other functional aspects of the unit. You will also provide thought leadership and act as a subject matter expert to design and recommend solutions in addressing key issues within the business. It is essential to understand AI risk, model governance, and governance related to the data analytics process. You should have an understanding of data/feature selection practice and their effect on risks (e.g., bias, explainability) and the model development life cycle and validation. Experience with data analytics tools and programming knowledge is required to develop methodologies and validate the model & A...

Posted 3 months ago

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