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:

Large Language Models (LLMs)

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 advanced applications and systems that leverage artificial intelligence technologies. This role requires integrating cloud-based or on-premises pipelines to ensure solutions are production-ready and scalable. The work often includes applying generative artificial intelligence models and exploring various domains such as deep learning, neural networks, conversational agents, and image analysis. Collaboration with cross-functional teams to align technical implementations with project goals is a key aspect of daily activities, fostering innovation and continuous improvement in AI-driven solutions.

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 team members to enhance the design and functionality of AI applications.

- Continuously update knowledge on emerging AI technologies and integrate relevant advancements into projects.

- Assist junior team members by sharing expertise and providing guidance on technical challenges.

- Ensure the quality and reliability of AI models through rigorous testing and validation.

Professional & Technical Skills:

- Must To Have Skills: Proficiency in Large Language Models (LLMs).

- Experience with designing and deploying AI applications using cloud AI services and on-premises infrastructure.

- Strong understanding of generative artificial intelligence models and their practical applications.

- Familiarity with deep learning frameworks and neural network architectures.

- Ability to develop and optimize production-ready AI pipelines ensuring scalability and robustness.

- Knowledge of chatbot development and image processing techniques.

Additional Information:

- The candidate should have minimum 3 years of experience in Large Language Models (LLMs).

- 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.