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 Science
Good to have skills : NA
Minimum 3 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 leverage artificial intelligence technologies. This role requires integrating cloud-based or on-premises pipelines to ensure solutions are production-ready and scalable. The engineer works on implementing generative AI models and may engage in projects involving deep learning, neural networks, chatbots, and image processing. Collaboration with cross-functional teams to align AI capabilities with business needs and continuous refinement of models and systems to enhance performance are key aspects of the daily workflow.

Roles & Responsibilities:
- Expected to perform independently and become a subject matter expert.
- Required active participation and contribution in team discussions.
- Contribute in providing solutions to work related problems.
- Collaborate with stakeholders to understand requirements and translate them into technical solutions.
- Continuously monitor and optimize AI models and systems to maintain high performance and reliability.
- Document processes and solutions clearly to support knowledge sharing and future maintenance.
- Assist junior team members by providing guidance and support to foster their professional growth.

Professional & Technical Skills:
- Must To Have Skills: Proficiency in Data Science.
- Strong knowledge of machine learning algorithms and their practical applications.
- Experience with cloud platforms and deployment of AI models in production environments.
- Familiarity with deep learning frameworks and neural network architectures.
- Ability to work with large datasets and perform data preprocessing and feature engineering.
- Competence in programming languages commonly used in data science such as Python or R.

Additional Information:
- The candidate should have minimum 3 years of experience in Data Science.
- This position is based at our CODC1A - 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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