Responsible AI Engineer

Project Role : Responsible AI Engineer
Project Role Description : Assess AI systems for adherence to predefined thresholds and benchmarks related to responsible, ethical and sustainable practices. Design and implement technology mitigation strategies for systems to ensure ethical and responsible standards are achieved.
Must have skills : Data Science
Good to have skills : No Function Specialty
Minimum 0-2 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary: As a Responsible AI Engineer, you will assess AI systems for adherence to predefined thresholds and benchmarks related to responsible, ethical, and sustainable practices. You will design and implement technology mitigation strategies for systems to ensure ethical and responsible standards are achieved. Your typical day will involve evaluating AI systems, identifying areas of improvement, and implementing strategies to enhance ethical and responsible practices. Roles & Responsibilities: - Expected to assess AI systems for adherence to predefined thresholds and benchmarks related to responsible, ethical, and sustainable practices. - Participate in problem-solving discussions to design and implement technology mitigation strategies for systems. - Support the team in building knowledge and expertise in responsible AI practices. - Contribute to the development and implementation of responsible AI frameworks and guidelines. - Collaborate with cross-functional teams to ensure ethical and responsible standards are achieved. - Stay updated with the latest advancements and best practices in responsible AI. - Assist in conducting audits and assessments to evaluate the ethical and responsible practices of AI systems. - Identify areas of improvement and recommend strategies to enhance ethical and responsible practices. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Science. - Strong understanding of statistical analysis and machine learning algorithms. - Experience with data visualization tools such as Tableau or Power BI. - Hands-on experience implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms. - Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information: - The candidate should have a minimum of 0-2 years of experience in Data Science. - This position is based at our Bengaluru office. - A 15 years full-time education is required.