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AI / ML Engineer

Gurugram

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What you’ll work on

Full posting
  • You will work on integrating generative AI models into solutions, ensuring that these applications are production-ready and scalable.

From the employer’s 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 : Python (Programming Language), Amazon Web Services (AWS) Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary: As an AI / ML Engineer, your day involves designing and building advanced applications and systems that leverage artificial intelligence technologies and cloud services. You will work on integrating generative AI models into solutions, ensuring that these applications are production-ready and scalable. Your role may also encompass developing deep learning models, neural networks, chatbots, and image processing systems, all while managing deployment pipelines either on cloud platforms or on-premises environments. Collaboration with cross-functional teams to align AI capabilities with business needs is a key part of your daily activities. 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 stakeholders to understand requirements and translate them into technical solutions. - Continuously monitor and optimize AI models and systems for performance and reliability. - Document processes and solutions to facilitate knowledge sharing within the team. - Support junior team members by providing guidance and sharing best practices.

Tools in this posting

  • Python
  • AWS
Source — Tool mentions in context
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 : Python (Programming Language), Amazon Web Services (AWS) Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary: As an AI / ML Engineer, your day involves designing and building advanced applications and systems that leverage artificial intelligence technologies and cloud services. You will work on integrating generative AI models into solutions, ensuring that these applications are production-ready and scalable. Your role may also encompass developing deep learning models, neural networks, chatbots, and image processing systems, all while managing deployment pipelines either on cloud platforms or on-premises environments. Collaboration with cross-functional teams to align AI capabilities with business needs is a key part of your daily activities.
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 stakeholders to understand requirements and translate them into technical solutions. - Continuously monitor and optimize AI models and systems for performance and reliability. - Document processes and solutions to facilitate knowledge sharing within the team. - Support junior team members by providing guidance and sharing best practices. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models (LLMs), Python (Programming Language), Amazon Web Services (AWS). - Good To Have Skills: Experience with Python (Programming Language), Amazon Web Services (AWS). - Strong understanding of natural language processing techniques and model fine-tuning. - Experience in developing and deploying AI models in cloud or hybrid environments. - Familiarity with deep learning frameworks and neural network architectures. - Ability to design scalable AI pipelines and integrate generative AI models into applications. Additional Information: - The candidate should have minimum 3 years of experience in Large Language Models (LLMs). - This position is based at our DDC5E - SEZ location. - A 15 years full time education is required.

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.

In the employer’s words · Read in context

Job description

View original 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 : Python (Programming Language), Amazon Web Services (AWS)
Minimum 3 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary:
As an AI / ML Engineer, your day involves designing and building advanced applications and systems that leverage artificial intelligence technologies and cloud services. You will work on integrating generative AI models into solutions, ensuring that these applications are production-ready and scalable. Your role may also encompass developing deep learning models, neural networks, chatbots, and image processing systems, all while managing deployment pipelines either on cloud platforms or on-premises environments. Collaboration with cross-functional teams to align AI capabilities with business needs is a key part of your daily activities.

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 stakeholders to understand requirements and translate them into technical solutions.
- Continuously monitor and optimize AI models and systems for performance and reliability.
- Document processes and solutions to facilitate knowledge sharing within the team.
- Support junior team members by providing guidance and sharing best practices.

Professional & Technical Skills:
- Must To Have Skills: Proficiency in Large Language Models (LLMs), Python (Programming Language), Amazon Web Services (AWS).
- Good To Have Skills: Experience with Python (Programming Language), Amazon Web Services (AWS).
- Strong understanding of natural language processing techniques and model fine-tuning.
- Experience in developing and deploying AI models in cloud or hybrid environments.
- Familiarity with deep learning frameworks and neural network architectures.
- Ability to design scalable AI pipelines and integrate generative AI models into applications.

Additional Information:
- The candidate should have minimum 3 years of experience in Large Language Models (LLMs).
- This position is based at our DDC5E - SEZ location.
- 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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First seen by us
Aug 25, 2026
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Last seen by us
Oct 8, 2026

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