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 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 these solutions into robust pipelines that are ready for production environments, ensuring seamless deployment and operation. The engineer works on innovative projects that may include generative artificial intelligence models, deep learning architectures, neural networks, conversational agents, and image analysis techniques. Collaboration with various teams to align technical solutions with project goals is a key aspect of the daily workflow, fostering continuous improvement and innovation in artificial intelligence applications.

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 development and implementation of AI and machine learning strategies to meet project objectives.

- Mentor junior team members to enhance their technical skills and professional growth.

- Coordinate cross-functional efforts to ensure alignment of AI solutions with organizational goals.

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 generative artificial intelligence models and deep learning frameworks.

- Ability to work with large datasets and perform data preprocessing and feature engineering.

- Competence in developing and optimizing neural networks and image processing techniques.

Additional Information:

- The candidate should have minimum 5 years of experience in Data Science.

- This position is based at our Bengaluru 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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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.