Design and deliver production-ready AI/ML applications and pipelines using cloud or on‑prem platforms. Lead architecture decisions, apply generative AI, deep learning, and image processing, mentor teams, and drive cross-team AI adoption.
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 : Automation Architecture
Good to have skills : NA
Minimum 15 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
As an AI / Machine Learning Engineer, a typical day involves designing and building advanced applications and systems that leverage artificial intelligence technologies and cloud services. The role requires integrating various AI models, including generative AI, into scalable and production-ready pipelines, whether deployed on cloud platforms or on-premises environments. Daily activities may include collaborating with cross-functional teams to ensure seamless implementation of AI-driven solutions, optimizing system performance, and exploring innovative approaches such as deep learning, neural networks, chatbots, and image processing to address complex challenges effectively.
Roles & Responsibilities:
- Expected to be a subject matter expert with deep knowledge and experience.
- Should have influencing and advisory skills.
- Responsible for team decisions.
- Engage with multiple teams and contribute on key decisions.
- Expected to provide solutions to problems that apply across multiple teams.
- Lead the evaluation and adoption of emerging AI technologies to enhance project outcomes.
- Mentor junior team members to foster skill development and knowledge sharing.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Automation Architecture.
- Strong expertise in designing scalable AI and machine learning system architectures.
- Experience with cloud-based AI services and deployment pipelines.
- Knowledge of generative AI models and their practical applications.
- Familiarity with deep learning frameworks and neural network design.
- Ability to integrate AI solutions with on-premises and cloud infrastructure.
Additional Information:
- The candidate should have minimum 6 years of experience in Automation Architecture.
- This position is based at our CDC2A - SEZ location.
- 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 : Automation Architecture
Good to have skills : NA
Minimum 15 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
As an AI / Machine Learning Engineer, a typical day involves designing and building advanced applications and systems that leverage artificial intelligence technologies and cloud services. The role requires integrating various AI models, including generative AI, into scalable and production-ready pipelines, whether deployed on cloud platforms or on-premises environments. Daily activities may include collaborating with cross-functional teams to ensure seamless implementation of AI-driven solutions, optimizing system performance, and exploring innovative approaches such as deep learning, neural networks, chatbots, and image processing to address complex challenges effectively.
Roles & Responsibilities:
- Expected to be a subject matter expert with deep knowledge and experience.
- Should have influencing and advisory skills.
- Responsible for team decisions.
- Engage with multiple teams and contribute on key decisions.
- Expected to provide solutions to problems that apply across multiple teams.
- Lead the evaluation and adoption of emerging AI technologies to enhance project outcomes.
- Mentor junior team members to foster skill development and knowledge sharing.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Automation Architecture.
- Strong expertise in designing scalable AI and machine learning system architectures.
- Experience with cloud-based AI services and deployment pipelines.
- Knowledge of generative AI models and their practical applications.
- Familiarity with deep learning frameworks and neural network design.
- Ability to integrate AI solutions with on-premises and cloud infrastructure.
Additional Information:
- The candidate should have minimum 6 years of experience in Automation Architecture.
- This position is based at our CDC2A - SEZ location.
- 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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To locals, it's no secret that South India is leading the charge in big data infrastructure. While the environmental impact of data centers has long been a concern, emerging hubs like Chennai are favored by companies seeking ready access to renewable energy resources, which provide more sustainable and cost-effective solutions. As a result, Chennai, along with neighboring Bengaluru and Hyderabad, is poised for significant growth, with a projected 65 percent increase in data center capacity over the next decade.
