AI / ML Engineer

AI / ML Engineer

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.

Machine Learning (ML)

NA

Minimum

year(s) of experience is required

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 are ready for production environments. The work often includes applying generative AI models and exploring various domains such as deep learning, neural networks, conversational agents, and image analysis. Collaboration with cross-functional teams to ensure seamless deployment and continuous improvement of AI-driven solutions is a key aspect of the daily routine.

Roles & Responsibilities:

- Expected to perform independently and become an SME.

- Required active participation/contribution in team discussions.

- Contribute in providing solutions to work related problems.

- Collaborate with team members to enhance project outcomes and share knowledge.

- Assist in documenting technical processes and best practices to support team learning.

- Support junior colleagues by providing guidance and sharing expertise.

Professional & Technical Skills:

- Must To Have Skills: Proficiency in Machine Learning (ML).

- Strong understanding of various machine learning algorithms and their practical applications.

- Experience in developing and deploying AI models in cloud or on-premises environments.

- Familiarity with generative AI models and their integration into production systems.

- Ability to work with deep learning frameworks and neural network architectures.

- Knowledge of data preprocessing techniques and handling large datasets efficiently.

Additional Information:

- The candidate should have minimum 3 years of experience in Machine Learning (ML).

- This position is based at our BDC7C - SEZ location.

- 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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