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 : Google Cloud Data Services
Good to have skills : Data Science, Data Engineering, Google BigQuery
Minimum 18 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary:
As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve creating production-ready application pipelines, ensuring high-quality outputs, and integrating generative AI models into solutions. You will also explore various advanced technologies, including deep learning, neural networks, chatbots, and image processing, to enhance the functionality and efficiency of the systems you develop. Collaboration with cross-functional teams will be essential to ensure that the solutions meet business needs and technical requirements.

Roles & Responsibilities:
- Expected to be a Subject Matter Expert with deep knowledge and experience.
- Should have influencing and advisory skills.
- Engage with multiple teams and be responsible for team decisions.
- Expected to provide solutions to problems that apply across multiple teams, and provide solutions to business area problems.
- Facilitate knowledge sharing sessions to enhance team capabilities and foster a culture of continuous learning.
- Analyze and evaluate existing systems to identify areas for improvement and optimization.

Professional & Technical Skills:
- Must To Have Skills: Proficiency in Google Cloud Data Services.
- Good To Have Skills: Experience with Data Engineering, Data Science, Google BigQuery.
- Strong understanding of cloud-based architecture and services.
- Experience in developing and deploying machine learning models in production environments.
- Proficiency in programming languages such as Python or Java for AI and machine learning applications.

Additional Information:
- The candidate should have minimum 18 years of experience in Google Cloud Data Services.
- 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 

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.