AI / ML Engineer

Posted:
9/4/2024, 3:34:08 PM

Location(s):
Karnataka, India

Experience Level(s):
Mid Level ⋅ Senior

Field(s):
AI & Machine Learning

Project Role : AI / ML Engineer
Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.
Must have skills : Computer Vision
Good to have skills : NA
Minimum 12 year(s) of experience is required
Educational Qualification : BE

Summary: As a Responsible AI Engineer, you will be responsible for assessing AI systems for adherence to predefined thresholds and benchmarks related to responsible, ethical, and sustainable practices. Your typical day will involve designing and implementing technology mitigation strategies for systems to ensure ethical and responsible standards are achieved, with a focus on Computer Vision. Roles & Responsibilities: - 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, with a focus on Computer Vision. - Collaborate with cross-functional teams to ensure adherence to ethical and responsible standards in AI systems. - Stay updated with the latest advancements in responsible AI practices and integrate innovative approaches for sustained competitive advantage. Professional & Technical Skills: - Must To Have Skills: Proficiency in Computer Vision. - Good To Have Skills: Experience with Natural Language Processing (NLP), Big Data technologies, and Machine Learning. - Strong understanding of responsible AI practices and frameworks. - Experience in designing and implementing technology mitigation strategies for responsible AI. - Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information: - The ideal candidate will possess a strong educational background in Computer Science, Mathematics, or a related field, along with a proven track record of delivering impactful responsible AI solutions.

BE

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with 742,000 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. We are uniquely able to deliver tangible outcomes because of our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song. These capabilities, 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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