AI / ML Engineer Full-time

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 Machine Learning Services
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, you will develop applications and systems that utilize AI tools and Cloud AI services. You will be responsible for creating a proper cloud or on-prem application pipeline with production-ready quality. Additionally, you will apply GenAI models as part of the solution, which may include deep learning, neural networks, chatbots, and image processing.

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.
– Develop applications and systems utilizing AI tools and Cloud AI services.
– Create a proper cloud or on-prem application pipeline with production-ready quality.
– Apply GenAI models as part of the solution.
– Utilize deep learning, neural networks, chatbots, and image processing to enhance applications.

Professional & Technical Skills:
– Must To Have Skills: Proficiency in Google Cloud Machine Learning Services.
– Strong understanding of statistical analysis and machine learning algorithms.
– Experience with data visualization tools such as Tableau or Power BI.
– Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms.
– Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity.

Additional Information:
– The candidate should have a minimum of 5 years of experience in Google Cloud Machine Learning 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 organizations build their digital core, optimize their operations, accelerate revenue growth and enhance services-creating tangible value at speed and scale. We are a talent- and innovation-led company with 774,000 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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