AI / ML Engineer

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 :

Data Engineering
Good to have skills :

NA
Minimum 3 year(s) of experience is required
Educational Qualification :

15 years full time education

Summary:

As an AI / ML Engineer, a typical day involves designing and building applications and systems that integrate artificial intelligence tools and cloud-based AI services. The role requires managing application pipelines that are suitable for production environments, whether deployed on cloud platforms or on-premises. The engineer actively incorporates generative AI models into solutions and may work on diverse areas such as deep learning, neural networks, chatbots, and image processing. This position demands continuous innovation and adaptation to evolving AI technologies to deliver robust and scalable systems that meet organizational needs.

Roles & Responsibilities:

• Expected to perform independently and become an SME.
• Required active participation/contribution in team discussions.
• Contribute in providing solutions to work related problems.
• Collaborate with cross-functional teams to ensure seamless integration of AI components into existing systems.
• Continuously monitor and optimize the performance of AI applications to maintain high reliability and efficiency.
• Document technical processes and solutions to support knowledge sharing within the team.
• Assist junior team members by providing guidance and support to foster their professional growth.

Professional & Technical Skills:

• Must To Have Skills: Proficiency in Data Engineering.
• Strong knowledge of data pipeline architectures and data processing frameworks.
• Experience with cloud platforms and services relevant to AI application deployment.
• Familiarity with managing and optimizing production-grade AI systems.
• Ability to work with large datasets and ensure data quality and integrity.
• Understanding of AI model integration and deployment best practices.

Additional Information:

• The candidate should have minimum 3 years of experience in Data Engineering.
• This position is based at our Indore office.
• 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 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 approximately 791,000 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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We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.