AI / ML Engineer
Confirmed on the employer's own hiring board on Nov 3, 2026. First seen by Alion on Nov 2, 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)
Good to have skills : NA
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
As an AI / Machine Learning Engineer, a typical day involves designing and building advanced applications and systems that leverage artificial intelligence technologies. This role requires integrating cloud-based AI services or on-premises application pipelines to deliver solutions that meet production standards. The engineer applies generative artificial intelligence models and explores various domains such as deep learning, neural networks, conversational agents, and image analysis to create innovative and efficient systems. Collaboration with cross-functional teams and continuous refinement of AI-driven solutions are key aspects of the daily workflow.
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.
- Provide solutions to problems for their immediate team and across multiple teams.
- Lead the design and implementation of AI and machine learning solutions to meet project requirements.
- Mentor junior team members to support their professional growth and skill development.
- Ensure the quality and scalability of AI applications through rigorous testing and optimization.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Machine Learning (ML).
- Experience with designing and deploying AI models in cloud environments and on-premises infrastructure.
- Strong knowledge of generative artificial intelligence techniques and their practical applications.
- Familiarity with deep learning frameworks and neural network architectures.
- Ability to develop and optimize chatbots and image processing algorithms.
- Competence in building production-ready AI pipelines ensuring robustness and scalability.
Additional Information:
- The candidate should have minimum 5 years of experience in Machine Learning (ML).
- This position is based at our Kolkata 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.