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aimlroles

AI / ML Engineer

Accenture accenture.com Open · verified Oct 27, 2026
Bengaluru Full-time Mid-level Machine Learning Engineering

At a glance

Mid-level Machine Learning Engineering role at Accenture. Bengaluru · full-time.

Pay not stated Machine Learning Engineering salary

RoleMachine Learning Engineering
SeniorityMid-level
LocationBengaluru
EmploymentFull-time
PostedOct 27, 2026 · 5d ago
Role brief

aimlroles summary, based on the employer's posting.

What you'll do

  • Design and build AI and machine learning solutions, then guide their implementation for complex problems
  • Create cloud or on-prem application pipelines and prepare AI systems for production use
  • Bring generative AI into solutions, including work involving neural networks, chatbots or image processing
  • Make team-level decisions, coordinate across teams and help resolve technical problems
  • Share expertise with teammates and mentor them as they develop their skills

What you bring

  • At least five years of machine learning experience
  • Hands-on skill with ML, Azure Stack, Python frameworks, generative AI, retrieval-augmented generation and machine learning operations
  • Fifteen years of full-time education

Who this fits

This role suits an experienced engineer who can lead AI solution design, contribute to team decisions and support colleagues through knowledge sharing. The position is based at the Bengaluru 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 : Machine Learning (ML), Azure Stack, Python Frameworks, Generative AI, Retrieval-Augmented Generation, Machine Learning Operations
Good to have skills : NA
Minimum 5 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 tools and cloud-based AI services. The role requires managing the entire application pipeline, ensuring solutions are production-ready and scalable. The engineer integrates generative artificial intelligence models into various projects, which may include deep learning architectures, neural networks, conversational agents, and image processing techniques. Collaboration with cross-functional teams to align technical solutions with business needs is a key aspect of daily activities, alongside continuous evaluation and enhancement of AI-driven functionalities to meet evolving requirements.

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.
- Provide solutions to problems for their immediate team and across multiple teams.
- Lead the design and implementation of AI and machine learning solutions to address complex challenges.
- Facilitate knowledge sharing and mentorship within the team to foster professional growth.
- Coordinate with stakeholders to ensure alignment of AI initiatives with organizational goals.

Professional & Technical Skills:
- Must To Have Skills: Proficiency in Machine Learning (ML), Azure Stack, Python Frameworks, Generative AI, Microsoft Azure AI foundry, Retrieval-Augmented Generation, Cloud AI Platforms (Azure AI).
- Strong experience in developing and deploying machine learning models in cloud environments.
- In-depth understanding of neural networks, deep learning techniques, and their practical applications.
- Ability to design scalable AI pipelines integrating various data sources and processing frameworks.
- Familiarity with AI service platforms and tools to optimize model performance and deployment.
- Experience in troubleshooting and optimizing AI models for production environments.

Additional Information:
- The candidate should have minimum 5 years of experience in Machine Learning (ML).
- 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.

Opportunity

Machine Learning Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Machine Learning Engineering

Find me work

By the team behind aimlroles.

Find me work
Opportunity

Machine Learning Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind aimlroles.