Develop AI and machine learning applications using cloud AI services and generative AI models. Implement deep learning, neural networks, chatbots, image processing, statistical analysis, and machine learning algorithms in production-ready systems. Independently contribute as a subject matter expert, collaborate with teams, solve technical problems, and remain current with AI and ML technologies.
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 : Large Language Models (LLMs)
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 utilizing AI tools, Cloud AI services, and GenAI models. Your role involves implementing deep learning, neural networks, chatbots, and image processing in production-ready quality solutions.
Roles & Responsibilities:
- Expected to perform independently and become an SME.
- Required active participation/contribution in team discussions.
- Contribute in providing solutions to work-related problems.
- Develop applications and systems using AI tools and Cloud AI services.
- Implement deep learning and neural networks in solutions.
- Create chatbots and work on image processing tasks.
- Collaborate with team members to provide innovative solutions.
- Stay updated with the latest AI/ML trends and technologies.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Large Language Models.
- 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 like linear regression, logistic regression, decision trees, and clustering algorithms.
- Solid grasp of data munging techniques including data cleaning, transformation, and normalization.
Additional Information:
- The candidate should have a minimum of 3 years of experience in Large Language Models.
- This position is based at our Bengaluru office.
- A 15 years full-time education is required.
15 years full time education
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 : Large Language Models (LLMs)
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 utilizing AI tools, Cloud AI services, and GenAI models. Your role involves implementing deep learning, neural networks, chatbots, and image processing in production-ready quality solutions.
Roles & Responsibilities:
- Expected to perform independently and become an SME.
- Required active participation/contribution in team discussions.
- Contribute in providing solutions to work-related problems.
- Develop applications and systems using AI tools and Cloud AI services.
- Implement deep learning and neural networks in solutions.
- Create chatbots and work on image processing tasks.
- Collaborate with team members to provide innovative solutions.
- Stay updated with the latest AI/ML trends and technologies.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Large Language Models.
- 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 like linear regression, logistic regression, decision trees, and clustering algorithms.
- Solid grasp of data munging techniques including data cleaning, transformation, and normalization.
Additional Information:
- The candidate should have a minimum of 3 years of experience in Large Language Models.
- 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.
Accenture Chennai, Tamil Nadu, IND Office
Chennai, India
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