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 : 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 artificial intelligence models and may engage in projects involving deep learning, neural networks, conversational agents, and image analysis. Collaboration with cross-functional teams to align technical solutions with project goals is a key part of daily activities, ensuring innovative and efficient outcomes.

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 team members to continuously improve development processes and methodologies.
- Assist in mentoring junior team members and support their professional growth.
- Engage in research and evaluation of emerging technologies to enhance project capabilities.
- Document technical designs and maintain clear communication with stakeholders.

Professional & Technical Skills:
- Must To Have Skills: Proficiency in Data Science.
- Experience with machine learning frameworks and libraries to develop and deploy models effectively.
- Strong knowledge of data preprocessing, feature engineering, and model evaluation techniques.
- Familiarity with cloud platforms and services to build scalable AI solutions.
- Ability to work with large datasets and perform data analysis to extract meaningful insights.
- Understanding of neural networks, deep learning architectures, and generative AI models.

Additional Information:
- The candidate should have minimum 3 years of experience in Data Science.
- This position is based at our PDC3B - 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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