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

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 services. The role requires integrating various AI models, including generative AI, into scalable and production-ready pipelines, whether deployed on cloud platforms or on-premises. The engineer collaborates closely with cross-functional teams to ensure seamless implementation of solutions that may encompass deep learning, neural networks, conversational agents, and image analysis. This position demands continuous innovation and adaptation to evolving AI methodologies to deliver robust and efficient systems that meet organizational needs.

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 development and deployment of AI-driven applications ensuring alignment with project goals and quality standards.
• Facilitate knowledge sharing and mentorship within the team to foster professional growth and technical excellence.
• Coordinate with stakeholders to gather requirements and translate them into effective AI solutions.
• Monitor and optimize the performance of AI models and systems in production environments.

Professional & Technical Skills:

• Must To Have Skills: Proficiency in Machine Learning Operations.
• Experience with cloud platforms and AI service integration.
• Strong understanding of AI model deployment and lifecycle management.
• Familiarity with generative AI models and their practical applications.
• Ability to design scalable and maintainable AI pipelines for production environments.
• Knowledge of deep learning frameworks and neural network architectures.

Additional Information:

• The candidate should have minimum 5 years of experience in Machine Learning Operations.
• This position is based at our Chennai 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

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