AI / ML Engineer

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, Project Program & Portfolio Governance
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, a typical day involves designing and building advanced applications and systems that leverage artificial intelligence technologies and cloud-based AI services. The role requires ensuring that these solutions are production-ready, whether deployed on cloud platforms or on-premises environments. The engineer integrates generative AI models into the solutions and may work on diverse areas such as deep learning, neural networks, conversational agents, and image analysis. Collaboration with various teams to align development efforts and maintain high-quality standards is a key aspect of daily activities, fostering innovation and practical implementation of AI capabilities.

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 efforts to identify and implement best practices in AI and machine learning operations to enhance project outcomes.
- Facilitate knowledge sharing and mentorship within the team to support continuous learning and professional growth.
- Coordinate cross-functional communication to ensure alignment of AI initiatives with organizational goals.

Professional & Technical Skills:
- Must To Have Skills: Proficiency in Machine Learning Operations, Project Program & Portfolio Governance.
- Strong expertise in deploying and managing AI models in production environments with a focus on scalability and reliability.
- Experience working with cloud platforms and integrating AI services into application pipelines.
- Knowledge of generative AI models and their practical application within enterprise solutions.
- Familiarity with deep learning frameworks, neural network architectures, and AI-driven conversational systems.
- Ability to troubleshoot and optimize AI workflows to maintain high performance and efficiency.

Additional Information:
- The candidate should have minimum 5 years of experience in Machine Learning Operations.
- This position is based at our Pune 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 atwww.accenture.com

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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.