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 : Data Engineering
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 environments. Daily activities may include collaborating with cross-functional teams to ensure seamless implementation of AI-driven solutions, optimizing system performance, and exploring innovative approaches such as deep learning, neural networks, chatbots, and image processing to address complex challenges effectively.

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 engineering within the team.
- Facilitate knowledge sharing and mentorship to support the growth and development of team members.
- Coordinate with stakeholders to align project goals and deliverables with organizational objectives.

Professional & Technical Skills:
- Must To Have Skills: Proficiency in Data Engineering.
- Experience with designing and maintaining scalable data pipelines and architectures.
- Strong knowledge of cloud platforms and services relevant to AI and machine learning deployments.
- Familiarity with integrating generative AI models and other advanced AI techniques into production environments.
- Ability to work with large datasets and optimize data workflows for performance and reliability.
- Competence in programming languages and tools commonly used in data engineering and AI projects.

Additional Information:
- The candidate should have minimum 5 years of experience in Data Engineering.
- This position is based at our Hyderabad 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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