Responsible AI Advisor

Posted:
12/11/2024, 9:55:19 PM

Location(s):
Rajasthan, India ⋅ Jaipur, Rajasthan, India

Experience Level(s):
Expert or higher ⋅ Senior

Field(s):
AI & Machine Learning ⋅ Data & Analytics

Project Role : Responsible AI Advisor
Project Role Description : Develop strategies to ensure the ethical and responsible use of artificial intelligence (AI) technologies. Shape the strategic direction of guidelines, policies, and practices implementation to mitigate AI-related risks. Promote transparency, accountability, and align AI initiatives with the organizations values and legal requirements.
Must have skills : Data Science
Good to have skills : NA
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary: As a Responsible AI Advisor, you will develop strategies to ensure the ethical and responsible use of artificial intelligence (AI) technologies. You will shape the strategic direction of guidelines, policies, and practices implementation to mitigate AI-related risks. Additionally, you will promote transparency, accountability, and align AI initiatives with the organization's values and legal requirements. Your typical day will involve analyzing AI technologies, identifying potential risks, and providing recommendations to ensure responsible AI implementation. Roles & Responsibilities: - Expected to be an SME, collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Develop strategies to ensure the ethical and responsible use of AI technologies. - Shape the strategic direction of guidelines, policies, and practices implementation to mitigate AI-related risks. - Promote transparency, accountability, and align AI initiatives with the organization's values and legal requirements. - Analyze AI technologies, identify potential risks, and provide recommendations to ensure responsible AI implementation. 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 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 5 years of experience in Data Science. - This position is based in Jaipur. - A 15 years full time education is required.

15 years full time education

About Accenture

Accenture is a leading global professional services company that helps the world’s leading organizations build their digital core, optimize their operations, accelerate revenue growth and enhance services—creating tangible value at speed and scale. We are a talent- and innovation-led company with 774,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities. Visit us at www.accenture.com 

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Accenture

Website: https://accenture.com/

Headquarter Location: Dublin, Dublin, Ireland

Employee Count: 10001+

Year Founded: 1989

IPO Status: Public

Last Funding Type: Grant

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