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 : Python (Programming Language)
Good to have skills : Microsoft Azure DevOps
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 services. The role requires integrating generative AI models into solutions, ensuring that applications are production-ready whether deployed on cloud platforms or on-premises. Daily activities may include working on deep learning frameworks, developing neural network architectures, creating intelligent chatbots, and implementing image processing techniques. Collaboration with cross-functional teams to align AI capabilities with business needs and maintaining high-quality pipelines for deployment are also key aspects of the role.

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 design and implementation of AI-driven solutions that meet project requirements and quality standards.
- Facilitate knowledge sharing and mentoring within the team to foster continuous learning and improvement.
- Coordinate with stakeholders to ensure alignment of AI initiatives with organizational goals.

Professional & Technical Skills:
- Must To Have Skills: Proficiency in Python (Programming Language).
- Good To Have Skills: Experience with Microsoft Azure DevOps.
- Strong experience in developing and deploying machine learning models using Python libraries and frameworks.
- Familiarity with cloud-based AI services and the ability to integrate them into scalable applications.
- Hands-on experience with generative AI models and their application in real-world scenarios.
- Understanding of deep learning concepts, neural networks, and image processing techniques.

Additional Information:
- The candidate should have minimum 5 years of experience in Python (Programming Language).
- This position is based at our Gurugram 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 

Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.