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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 cloud AI services

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

  • Integrate generative AI models into solutions

  • Optimize AI model deployment and integration with team members

  • Document technical processes and best practices; guide junior team members

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
Collaborate with team members to optimize AI model deployment and integration
Assist in documenting technical processes and best practices to support knowledge sharing

What you’ll bring

All qualifications

Core experience

  • At least 3 years of experience in Google Cloud Platform (GCP)
  • Proficiency in Google Cloud Platform (GCP)
  • Experience with cloud infrastructure management and deployment strategies
  • Strong understanding of AI and machine learning frameworks and tools
  • 15 years of full-time education
Qualification wording
The candidate should have minimum 3 years of experience in Google Cloud Platform (GCP)
Must To Have Skills: Proficiency in Google Cloud Platform (GCP)
Experience with cloud infrastructure management and deployment strategies
Strong understanding of AI and machine learning frameworks and tools
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

Apply at Accenture

Posting record

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Likely evergreenReposted 2 times since Sep 17, 2026. A role that keeps coming back is often kept open to collect applications rather than to fill one seat.

Status in our records
Live
First seen by us
Nov 3, 2026today
Recorded sightings
1
Reposted
2 times since Sep 17, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.

How this job compares

Time since we first saw it

Day 0

Early. Similar jobs usually come down between day 6 and day 69.

From 4,284 similar postings that came down. Coming down is not always a hire.

Accenture is hiring

202 open jobs

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

  • ML Engineer hiring is picking up
  • Takes jobs down quickly
  • 11% of open jobs were reposted
Hiring record

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  • GCP
Where the posting names them
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 : Google Cloud Platform (GCP) Good to have skills : NA Minimum 3 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 aspect of 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 team members to optimize AI model deployment and integration. - Assist in documenting technical processes and best practices to support knowledge sharing. - Support junior team members by providing guidance and sharing expertise. Professional & Technical Skills: - Must To Have Skills: Proficiency in Google Cloud Platform (GCP). - Experience with cloud infrastructure management and deployment strategies. - Strong understanding of AI and machine learning frameworks and tools. - Ability to design and implement scalable AI solutions using cloud services. - Familiarity with data processing pipelines and production environment considerations. Additional Information: - The candidate should have minimum 3 years of experience in Google Cloud Platform (GCP). - This position is based at our Kolkata office. - A 15 years full time education is required.
Professional & Technical Skills: - Must To Have Skills: Proficiency in Google Cloud Platform (GCP). - Experience with cloud infrastructure management and deployment strategies. - Strong understanding of AI and machine learning frameworks and tools. - Ability to design and implement scalable AI solutions using cloud services. - Familiarity with data processing pipelines and production environment considerations. Additional Information: - The candidate should have minimum 3 years of experience in Google Cloud Platform (GCP). - This position is based at our Kolkata office. - A 15 years full time education is required. 15 years full time education

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Has Accenture posted this job before?

Yes. We’ve followed 24 other AI / ML Engineer jobs there since November 2026. 4 came down, usually after about 0 days. 20 are still up.

  1. SantiagoStill up after 1 day, first seen Nov 3
  2. BengaluruStill up after 1 day, first seen Nov 3
  3. BengaluruStill up after 1 day, first seen Nov 3
  4. KolkataStill up after 1 day, first seen Nov 3
  5. KolkataStill up after 1 day, first seen Nov 3
  6. KolkataStill up after 1 day, first seen Nov 3
  7. This jobUp 1 day so far, first seen Nov 3
  8. MumbaiStill up after 0 days, first seen Nov 4
  9. PuneStill up after 0 days, first seen Nov 4

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

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 : Google Cloud Platform (GCP)
Good to have skills : NA
Minimum 3 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 aspect of 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 team members to optimize AI model deployment and integration.
- Assist in documenting technical processes and best practices to support knowledge sharing.
- Support junior team members by providing guidance and sharing expertise.

Professional & Technical Skills:
- Must To Have Skills: Proficiency in Google Cloud Platform (GCP).
- Experience with cloud infrastructure management and deployment strategies.
- Strong understanding of AI and machine learning frameworks and tools.
- Ability to design and implement scalable AI solutions using cloud services.
- Familiarity with data processing pipelines and production environment considerations.

Additional Information:
- The candidate should have minimum 3 years of experience in Google Cloud Platform (GCP).
- This position is based at our Kolkata 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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Kolkata

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