AI / ML Engineer
Pune Full-time Mid-level Machine Learning Engineering
At a glance
Mid-level Machine Learning Engineering role at Accenture. Pune · full-time.
Pay not stated Machine Learning Engineering salary
RoleMachine Learning Engineering
SeniorityMid-level
LocationPune
EmploymentFull-time
PostedOct 29, 2026 · 3d ago
Role brief
aimlroles summary, based on the employer's posting.
What you'll do
- Design and build AI applications, then bring them to production through cloud or on-premises pipelines
- Integrate generative AI models into solutions and develop scalable pipelines built for reliable production use
- Lead AI solution design, resolve issues spanning teams, and take responsibility for team decisions
- Gather stakeholder needs, turn them into technical plans, and guide junior engineers
- Assess emerging AI methods and recommend options that could improve project results
What you bring
- At least twelve years working with large language models
- Fifteen years of full-time education
- Strong capability deploying AI models in cloud and on-premises settings and developing generative AI for practical use
Who this fits
This role suits a senior engineer ready to lead AI solution work, make team decisions, and mentor junior colleagues. The position is based at the Pune office.
From the employer
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 : Microsoft Agentic AI Architecture
Minimum 12 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 and cloud-based AI services. The role requires integrating generative AI models into solutions, ensuring that applications are production-ready and scalable. Daily activities may include developing pipelines for deployment either on cloud platforms or on-premises environments, collaborating with cross-functional teams to enhance system capabilities, and exploring innovative AI techniques such as deep learning, neural networks, chatbots, and image processing to meet project goals effectively.
Roles & Responsibilities:
- Expected to be an SME, collaborate and manage the team to perform.
- Responsible for team decisions.
- Engage with multiple teams and contribute on key decisions.
- Expected to provide solutions to problems that apply across multiple teams.
- Lead the design and implementation of AI-driven solutions ensuring alignment with organizational objectives.
- Mentor junior team members to foster skill development and knowledge sharing.
- Coordinate with stakeholders to gather requirements and translate them into technical specifications.
- Continuously evaluate emerging AI technologies and recommend their adoption to improve project outcomes.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Large Language Models (LLMs).
- Good To Have Skills: Experience with Microsoft Agentic AI Architecture.
- Strong knowledge of AI model deployment strategies in cloud and on-premises environments.
- Experience in developing and optimizing generative AI models for real-world applications.
- Familiarity with deep learning frameworks and neural network architectures.
- Ability to design scalable AI pipelines that ensure production quality and reliability.
Additional Information:
- The candidate should have minimum 12 years of experience in Large Language Models (LLMs).
- This position is based at our Pune office.
- A 15 years full time education is required.
15 years full time education
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 : Microsoft Agentic AI Architecture
Minimum 12 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 and cloud-based AI services. The role requires integrating generative AI models into solutions, ensuring that applications are production-ready and scalable. Daily activities may include developing pipelines for deployment either on cloud platforms or on-premises environments, collaborating with cross-functional teams to enhance system capabilities, and exploring innovative AI techniques such as deep learning, neural networks, chatbots, and image processing to meet project goals effectively.
Roles & Responsibilities:
- Expected to be an SME, collaborate and manage the team to perform.
- Responsible for team decisions.
- Engage with multiple teams and contribute on key decisions.
- Expected to provide solutions to problems that apply across multiple teams.
- Lead the design and implementation of AI-driven solutions ensuring alignment with organizational objectives.
- Mentor junior team members to foster skill development and knowledge sharing.
- Coordinate with stakeholders to gather requirements and translate them into technical specifications.
- Continuously evaluate emerging AI technologies and recommend their adoption to improve project outcomes.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Large Language Models (LLMs).
- Good To Have Skills: Experience with Microsoft Agentic AI Architecture.
- Strong knowledge of AI model deployment strategies in cloud and on-premises environments.
- Experience in developing and optimizing generative AI models for real-world applications.
- Familiarity with deep learning frameworks and neural network architectures.
- Ability to design scalable AI pipelines that ensure production quality and reliability.
Additional Information:
- The candidate should have minimum 12 years of experience in Large Language Models (LLMs).
- This position is based at our Pune 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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