Design and implement production-ready AI and machine learning applications using Google Cloud Platform and cloud AI services. Integrate generative AI models into scalable cloud or on-premises pipelines, with potential work in deep learning, neural networks, chatbots, and image processing. Lead technical design, coordinate cross-functional integration, make team decisions, provide expertise across teams, and mentor engineers. Optimize AI workloads for performance and cost while managing model deployment and lifecycle processes.
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 Platform Architecture
Good to have skills : NA
Minimum 5 year(s) of experience is required
Educational Qualification : Total 15 years of full time education
Summary:
As an AI / ML Engineer, a typical day involves designing and building advanced applications and systems that leverage artificial intelligence tools and cloud-based AI services. The role requires integrating these solutions within cloud or on-premises application pipelines, ensuring they meet production-ready standards. The engineer works on implementing generative AI models and may engage in projects involving deep learning, neural networks, chatbots, and image processing. This position demands continuous innovation and adaptation to evolving AI technologies to deliver effective and scalable solutions.
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 design and implementation of AI-driven solutions ensuring alignment with organizational goals.
- Facilitate knowledge sharing and mentorship within the team to foster professional growth.
- Coordinate cross-functional efforts to integrate AI models seamlessly into existing systems.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Google Cloud Platform Architecture.
- Strong experience in designing scalable cloud infrastructure tailored for AI and machine learning workloads.
- In-depth understanding of AI model deployment and lifecycle management on cloud platforms.
- Familiarity with containerization and orchestration technologies to support AI application pipelines.
- Ability to optimize performance and cost-efficiency of cloud-based AI services.
- Experience with data processing and integration techniques relevant to AI solutions.
Additional Information:
- The candidate should have minimum 5 years of experience in Google Cloud Platform Architecture.
- This position is based at our Chennai office.
- A Total 15 years of full time education is required.
Total 15 years of 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 : Google Cloud Platform Architecture
Good to have skills : NA
Minimum 5 year(s) of experience is required
Educational Qualification : Total 15 years of full time education
Summary:
As an AI / ML Engineer, a typical day involves designing and building advanced applications and systems that leverage artificial intelligence tools and cloud-based AI services. The role requires integrating these solutions within cloud or on-premises application pipelines, ensuring they meet production-ready standards. The engineer works on implementing generative AI models and may engage in projects involving deep learning, neural networks, chatbots, and image processing. This position demands continuous innovation and adaptation to evolving AI technologies to deliver effective and scalable solutions.
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 design and implementation of AI-driven solutions ensuring alignment with organizational goals.
- Facilitate knowledge sharing and mentorship within the team to foster professional growth.
- Coordinate cross-functional efforts to integrate AI models seamlessly into existing systems.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Google Cloud Platform Architecture.
- Strong experience in designing scalable cloud infrastructure tailored for AI and machine learning workloads.
- In-depth understanding of AI model deployment and lifecycle management on cloud platforms.
- Familiarity with containerization and orchestration technologies to support AI application pipelines.
- Ability to optimize performance and cost-efficiency of cloud-based AI services.
- Experience with data processing and integration techniques relevant to AI solutions.
Additional Information:
- The candidate should have minimum 5 years of experience in Google Cloud Platform Architecture.
- This position is based at our Chennai office.
- A Total 15 years of full time education is required.
Total 15 years of 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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What you need to know about the Chennai Tech Scene
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.
