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 / Machine Learning Engineer, a typical day involves designing and building advanced applications and systems that integrate artificial intelligence technologies and cloud-based services. The role requires managing the deployment pipelines for both cloud and on-premises environments, ensuring solutions are production-ready and scalable. The engineer works on incorporating generative artificial intelligence models into various projects, which may include deep learning frameworks, neural network architectures, conversational agents, and image analysis tools. Collaboration with cross-functional teams to align technical implementations with project goals is a key aspect of daily activities, fostering innovation and efficiency in delivering AI-driven solutions.

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 integration of artificial intelligence models into production environments, ensuring robustness and reliability.
- Mentor junior team members by sharing knowledge and guiding their technical growth.
- Coordinate with stakeholders to align project objectives with technical deliverables.
- Continuously evaluate emerging AI technologies to enhance existing systems and processes.

Professional & Technical Skills:
- Must To Have Skills: Proficiency in Machine Learning Operations.
- Experience with cloud platforms and deployment pipelines for AI applications.
- Strong understanding of generative artificial intelligence models and their practical applications.
- Familiarity with deep learning techniques, neural networks, and related frameworks.
- Ability to develop and maintain scalable AI systems in both cloud and on-premises environments.
- Skilled in troubleshooting and optimizing AI model performance in production settings.

Additional Information:
- The candidate should have minimum 5 years of experience in Machine Learning Operations.
- This position is based at our BDC7C - SEZ 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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