Time since we first saw it
Day 0
Early. Similar jobs usually come down between day 6 and day 69.
From 4,296 similar postings that came down. Coming down is not always a hire.
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 postingLead design and implementation of AI and machine learning solutions
Deploy AI solutions on cloud platforms and manage production pipelines
Integrate AI models into existing systems across cross-functional teams
Mentor junior team members on technical development
From the employer’s posting
Lead the design and implementation of AI and machine learning solutions that meet business requirements.
Experience in deploying AI solutions on cloud platforms and managing production pipelines.
Coordinate cross-functional efforts to ensure seamless integration of AI models into existing systems.
Mentor junior team members to support their professional growth and technical development.
What you’ll bring
All qualificationsCore experience
- At least 12 years of experience in machine learning
- Proficiency in machine learning and data science
- Experience deploying AI solutions on cloud platforms
- Familiarity with generative AI models
- 15 years of full-time education
Qualification wording
The candidate should have minimum 12 years of experience in Machine Learning (ML).
Proficiency in Machine Learning (ML), Data Science.
Experience in deploying AI solutions on cloud platforms and managing production pipelines.
Familiarity with generative AI models and their practical applications in real-world scenarios.
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
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Nov 4, 2026today
- Recorded sightings
- 1
- Reposted
- once since Oct 13, 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
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
See how this role fits your experience
Add your resume to compare the role’s scope, tools and requirements with your experience.
Your next step
Complete your application on accenture.wd103.myworkdayjobs.com. The employer’s form will show what is required.
Applying through Workday
- You create an account with each employer before you can upload anything. Every Workday employer has its own account, so one sign-up doesn’t carry over.
- “Autofill with Resume” comes right after sign-in, before the My Information and My Experience steps. Check every field it fills in those steps, since that’s what recruiters see.
- Your application status lives in that employer’s Candidate Home, under the same sign-in.
Already applied? Track this application
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.
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
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), Data Science
Good to have skills : NA
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 these solutions into robust pipelines that are suitable for production environments, ensuring reliability and scalability. The engineer works on implementing generative AI models and may engage in diverse areas such as deep learning, neural networks, conversational agents, and image analysis. Collaboration with various teams to align technical solutions with project goals is a key aspect of daily activities, fostering innovation and efficiency in delivering AI-driven products.
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 and machine learning solutions that meet business requirements.
- Mentor junior team members to support their professional growth and technical development.
- Coordinate cross-functional efforts to ensure seamless integration of AI models into existing systems.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Machine Learning (ML), Data Science.
- Strong knowledge of AI frameworks and libraries used for developing machine learning models.
- Experience in deploying AI solutions on cloud platforms and managing production pipelines.
- Familiarity with generative AI models and their practical applications in real-world scenarios.
- Ability to work with deep learning architectures, including neural networks and image processing techniques.
- Skilled in designing scalable and maintainable AI systems that align with organizational goals.
Additional Information:
- The candidate should have minimum 12 years of experience in Machine Learning (ML).
- This position is based at our Mumbai 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 : Machine Learning (ML), Data Science
Good to have skills : NA
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 these solutions into robust pipelines that are suitable for production environments, ensuring reliability and scalability. The engineer works on implementing generative AI models and may engage in diverse areas such as deep learning, neural networks, conversational agents, and image analysis. Collaboration with various teams to align technical solutions with project goals is a key aspect of daily activities, fostering innovation and efficiency in delivering AI-driven products.
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 and machine learning solutions that meet business requirements.
- Mentor junior team members to support their professional growth and technical development.
- Coordinate cross-functional efforts to ensure seamless integration of AI models into existing systems.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Machine Learning (ML), Data Science.
- Strong knowledge of AI frameworks and libraries used for developing machine learning models.
- Experience in deploying AI solutions on cloud platforms and managing production pipelines.
- Familiarity with generative AI models and their practical applications in real-world scenarios.
- Ability to work with deep learning architectures, including neural networks and image processing techniques.
- Skilled in designing scalable and maintainable AI systems that align with organizational goals.
Additional Information:
- The candidate should have minimum 12 years of experience in Machine Learning (ML).
- This position is based at our Mumbai 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.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Mumbai
Working pattern and location restrictions need checking in the full posting.
- Work authorization
This passage needs a closer read in the full description.