AI / ML Engineer
Confirmed on the employer's own hiring board on Nov 5, 2026. First seen by Alion on Nov 3, 2026. Accenture scores A on the Alion truth index.
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), Test Management
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 tester, a typical day involves testing of advanced applications and systems that leverage artificial intelligence technologies and cloud-based AI services. The role requires testing end-to-end application pipelines, ensuring solutions are production-ready and scalable.
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 stakeholders to understand project requirements and translate them into technical solutions.
- Continuously monitor and optimize AI models and systems to maintain high performance and reliability.
- Document technical designs, processes, and best practices to support knowledge sharing within the team.
- Assist junior team members by providing guidance and support to foster their professional growth.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Machine Learning (ML), Test Management.
- Strong knowledge of various machine learning algorithms and their practical applications.
- Experience with cloud AI platforms and services to deploy scalable AI solutions.
- Familiarity with deep learning techniques, including neural networks and generative AI models.
- Ability to develop and maintain production-grade AI pipelines and workflows.
- Competence in programming languages commonly used in AI development, such as Python or R.
- Strong knowledge of automation frameworks and tools to support efficient test execution.
- Experience in designing and implementing end-to-end automated test suites.
- Ability to analyze test results and identify areas for improvement in automation coverage.
- Familiarity with continuous integration and continuous deployment pipelines to integrate automated testing.
- Skilled in troubleshooting and resolving issues related to test automation environments.
Additional Information:
- The candidate should have minimum 5 years of experience in Machine Learning (ML).
- This position is based at our Pune office.
- A 15 years full time education is required.
15 years full time educationAbout 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 atwww.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, militaryveteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicablelaw. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.