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AI / ML Engineer

Pay
Pay not listed
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

What you’ll work on

Full posting
  • Design and build AI applications and systems using AI tools and cloud AI services

  • Manage cloud-hosted or on-premises application pipelines to production standards

  • Integrate generative AI models into solutions

  • Troubleshoot and resolve technical challenges to maintain system efficiency

  • Support junior team members with guidance and best practices

From the employer’s posting
designing and building advanced applications and systems that leverage artificial intelligence tools and cloud-based AI services
managing application pipelines that are either cloud-hosted or on-premises, ensuring they meet production-level standards
The engineer integrates generative AI models into solutions
Assist in troubleshooting and resolving technical challenges to maintain system efficiency
Support junior team members by providing guidance and sharing best practices

What you’ll bring

All qualifications

Core experience

  • Minimum 5 years of experience
  • Proficiency in Databricks Unified Data Analytics Platform (minimum 3 years)
  • Data modeling techniques and methodologies
  • Experience developing and deploying AI and ML models in cloud or on-prem environments
  • Knowledge of deep learning frameworks and neural network architectures
Qualification wording
Minimum 5 year(s) of experience is required
The candidate should have minimum 3 years of experience in Databricks Unified Data Analytics Platform
Must have skills : Data Modeling Techniques and Methodologies
Strong experience in developing and deploying AI and machine learning models within cloud or on-premises environments
Knowledge of deep learning frameworks and neural network architectures

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

Apply at Accenture

Posting record

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Actively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 12, 20261 day ago
Recorded sightings
1
Last seen by us
Nov 13, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 1

Early. Similar jobs usually come down between day 8 and day 76.

At Accenture, jobs usually come down by about day 1.

From 5,460 similar postings that came down, and 2,606 of Accenture’s. Coming down is not always a hire.

Accenture is hiring

250 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • ML Engineer hiring is picking up
  • Takes jobs down quickly
  • 14% of open jobs were reposted
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Databricks
Where the posting names them
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 project outcomes and share knowledge. - Assist in troubleshooting and resolving technical challenges to maintain system efficiency. - Support junior team members by providing guidance and sharing best practices. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform. - Strong experience in developing and deploying AI and machine learning models within cloud or on-premises environments. - Familiarity with integrating generative AI models into scalable solutions. - Knowledge of deep learning frameworks and neural network architectures. - Ability to design and optimize data pipelines for production-ready applications. - Experience with AI-driven applications such as chatbots and image processing systems. Additional Information: - The candidate should have minimum 3 years of experience in Databricks Unified Data Analytics Platform. - This position is based at our Bengaluru office. - A 15 years full time education is required.
Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform. - Strong experience in developing and deploying AI and machine learning models within cloud or on-premises environments. - Familiarity with integrating generative AI models into scalable solutions. - Knowledge of deep learning frameworks and neural network architectures. - Ability to design and optimize data pipelines for production-ready applications. - Experience with AI-driven applications such as chatbots and image processing systems. Additional Information: - The candidate should have minimum 3 years of experience in Databricks Unified Data Analytics Platform. - This position is based at our Bengaluru office. - A 15 years full time education is required. 15 years full time education

Your next step

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Has Accenture posted this job before?

Yes. We’ve followed 24 other AI / ML Engineer jobs there since November 2026. All 24 are still up.

  1. PuneStill up after 4 days, first seen Nov 10
  2. ChennaiStill up after 2 days, first seen Nov 12
  3. PuneStill up after 2 days, first seen Nov 12
  4. ChennaiStill up after 2 days, first seen Nov 12
  5. ChennaiStill up after 2 days, first seen Nov 12
  6. PuneStill up after 2 days, first seen Nov 12
  7. GurugramStill up after 2 days, first seen Nov 12
  8. BengaluruStill up after 1 day, first seen Nov 12
  9. This jobUp 1 day so far, first seen Nov 12

Large employers often post one title for several teams, so these can be separate openings.

About Accenture

People
About 814,000 in 2026, up 4% from the year before.Annual report (SEC Form 10-K)
Company
Listed as ACN.
H-1B visas
294 approved for new hires in fiscal 2025.US Citizenship and Immigration Services
Layoff notices
Notices this year and last cover 85 people. The latest was filed May 14, 2025.State WARN notices

Demand for ML Engineer roles

New ML Engineer postings at the employers we follow are up 10% over the last 6 weeks compared with the 6 before.

Weekly new ML Engineer postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 612, the most 1,081, and the latest week had 1,068.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under ML Engineer, by the work the posting describes.

ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.

Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.

A data scientist often works out which model to build; an ML engineer makes it run reliably in production.

US government figures for computer and information research scientists

Median yearly pay, May 2025
$140,300
Expected change, 2025 to 2035
21.8% more jobsagainst 3.5% for all jobs

The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.

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 : Data Modeling Techniques and Methodologies
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 application pipelines that are either cloud-hosted or on-premises, ensuring they meet production-level standards. The engineer integrates generative AI models into solutions and may work on diverse areas such as deep learning, neural networks, chatbots, and image processing. Collaboration with cross-functional teams to align technical implementations with project goals is also a key part of the daily routine.

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 project outcomes and share knowledge.
- Assist in troubleshooting and resolving technical challenges to maintain system efficiency.
- Support junior team members by providing guidance and sharing best practices.

Professional & Technical Skills:
- Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.
- Strong experience in developing and deploying AI and machine learning models within cloud or on-premises environments.
- Familiarity with integrating generative AI models into scalable solutions.
- Knowledge of deep learning frameworks and neural network architectures.
- Ability to design and optimize data pipelines for production-ready applications.
- Experience with AI-driven applications such as chatbots and image processing systems.

Additional Information:
- The candidate should have minimum 3 years of experience in Databricks Unified Data Analytics Platform.
- 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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Pune

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