AI / ML Engineer
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 7, 2026 · 2w ago
Role brief
aimlroles summary, based on the employer's posting.
What you'll do
- Translate ML needs into workflows, then automate scheduling, monitoring, status alerts and recovery across the pipelines
- Build production-ready AI applications using cloud or on-premises pipelines, applying GenAI models where they fit
- Coordinate pipeline development with analysts, data engineers, data scientists and visualization developers
- Write maintainable code, help create reusable ML libraries, and keep workflow documentation current
- Resolve production problems, review code, support teammates and take part in agile delivery routines
What you bring
- At least five years of experience, with substantial hands-on work building ML pipelines in Python
- Strong advanced Python skills, including object-oriented programming and application development
- Experience creating cloud-based ML pipelines; GCP is preferred, while comparable platforms also count
- A strong grasp of CI/CD tools such as GitHub Workflows and orchestration frameworks such as Airflow
- Fifteen years of full-time education, plus experience working in agile methods such as Scrum or Kanban
Who this fits
This mid-level role suits an engineer who can build and operate ML pipelines in cloud environments and communicate across technical and non-technical teams. The position is based in Bengaluru.
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 Operations
Good to have skills : NA
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education
Key Responsibilities:
Understand and work with ML requirements and Develop ML workflows.
Automate ML pipelines, including for scheduling, monitoring, status notification and resiliency.
Collaborate with analysts, data engineers, data scientists and visualization developers to ensure ML pipeline development is consistent with end-to-end solution delivery.
Write robust, maintainable code.
Support reusable package/libraries development for streamlining ML workflows.
Create and improve documentation for development and operation of ML workflows.
Investigate and resolve production issues.
Participate in code review and provide support and guidance to other engineers on the team.
Participate in agile ceremonies and project management requirements.
Qualifications:
Mandatory to have significant experience developing ML pipelines with Python and packages in the Python ML ecosystem (pandas, scikit-learn, etc.).
Significant experience in Advanced Python programming like working with OOPs concepts and developing applications.
Mandatory to have significant experience developing ML pipelines in the cloud (GCP preferred, but other similar platforms would also provide relevant experience).
Strong verbal and written communication skills including the ability to interact effectively with colleagues of varying technical and non-technical abilities.
Agile software development experience such as Kanban and Scrum.
Mandatory to have strong understanding of CI/CD tools such as Github Workflows.
Mandatory to have strong understanding of orchestration frameworks such as Airflow.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 Operations
Good to have skills : NA
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education
Key Responsibilities:
Understand and work with ML requirements and Develop ML workflows.
Automate ML pipelines, including for scheduling, monitoring, status notification and resiliency.
Collaborate with analysts, data engineers, data scientists and visualization developers to ensure ML pipeline development is consistent with end-to-end solution delivery.
Write robust, maintainable code.
Support reusable package/libraries development for streamlining ML workflows.
Create and improve documentation for development and operation of ML workflows.
Investigate and resolve production issues.
Participate in code review and provide support and guidance to other engineers on the team.
Participate in agile ceremonies and project management requirements.
Qualifications:
Mandatory to have significant experience developing ML pipelines with Python and packages in the Python ML ecosystem (pandas, scikit-learn, etc.).
Significant experience in Advanced Python programming like working with OOPs concepts and developing applications.
Mandatory to have significant experience developing ML pipelines in the cloud (GCP preferred, but other similar platforms would also provide relevant experience).
Strong verbal and written communication skills including the ability to interact effectively with colleagues of varying technical and non-technical abilities.
Agile software development experience such as Kanban and Scrum.
Mandatory to have strong understanding of CI/CD tools such as Github Workflows.
Mandatory to have strong understanding of orchestration frameworks such as Airflow.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.