Accenture
AI / ML Engineer
India
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hirly's read of this role
- Role family
- Data & ML
- Seniority
- Mid level
- Country
- IN
- Work mode
- On-site / unstated
- First seen by hirly
- 23 Sept 2026
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the posting
- 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 : Prompt Engineering, Generative AI
- Minimum 3 year(s) of experience is required
- Educational Qualification : 15 years full time education
- Summary:
- As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions that incorporate generative AI models, deep learning techniques, and neural networks. You will also work on enhancing chatbot functionalities and image processing capabilities, ensuring that all systems meet high-quality standards and are optimized for performance and scalability.
- 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 gather requirements and translate them into technical specifications.
- - Conduct thorough testing and validation of AI models to ensure accuracy and reliability.
- Professional & Technical Skills:
- - Must To Have Skills: Proficiency in Large Language Models (LLMs).
- - Good To Have Skills: Experience with Prompt Engineering, Generative AI.
- - Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.
- - Experience in deploying AI models in cloud environments like AWS, Azure, or Google Cloud.
- - Familiarity with data preprocessing techniques and data pipeline development.
- Additional Information:
- - The candidate should have minimum 3 years of experience in Large Language Models (LLMs).
- - This position is based at our Bengaluru 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
Equal Employment Opportunity Statement
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.
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