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Information Technology
Design and implement production-ready AI and machine learning applications using generative AI, cloud services, deployment pipelines, deep learning, chatbots, NLP, image processing, and computer vision. Lead technical decisions, coordinate cross-functional integration, solve complex problems, mentor junior engineers, and ensure AI solutions are scalable, reliable, and aligned with project requirements.
Top Skills:
ChatbotsCloud Ai ServicesCloud Deployment PipelinesComputer VisionDeep LearningGenerative AiImage ProcessingNatural Language ProcessingNeural NetworksOn-Premises Application Pipelines
Information Technology
Design and deploy production-ready AI applications and systems using large language models, generative AI, cloud AI services, and on-premises infrastructure. Develop scalable AI pipelines, integrate models with software platforms, and apply deep learning, neural networks, chatbots, and image processing. Lead technical decisions, coordinate cross-functional teams, optimize system performance and reliability, and mentor junior engineers.
Top Skills:
Ai PipelinesCloud Ai ServicesDeep LearningGenerative AiLarge Language Models (Llms)Neural NetworksOn-Premises Infrastructure
Automotive
Build and operate AWS-based MLOps platforms for autonomous-driving workloads. Maintain highly available multi-zone environments, distributed multi-GPU Ray training clusters, and infrastructure for compute, storage, networking, and security. Develop Airflow and MLflow pipelines, support GitHub-based CI/CD for ML code, models, and infrastructure, troubleshoot platform issues, and ensure workflows are reproducible, traceable, and auditable.
Top Skills:
Amazon EksApache AirflowAWSCi/CdDevOpsGitKubernetesMlflowMlopsPythonRayTerraform
Design, build, and deploy production-ready AI systems using LLMs and generative models across cloud and on‑prem pipelines. Lead teams, make technical decisions, mentor engineers, integrate AI solutions, and optimize chatbots, image processing, and deep learning models for scalability and performance.
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, a typical day involves designing and building advanced applications and systems that leverage artificial intelligence technologies. This role requires integrating cloud-based or on-premises pipelines to ensure solutions are production-ready and scalable. The work often includes applying generative artificial intelligence models to enhance system capabilities. Additionally, the role may involve exploring various domains such as deep learning, neural networks, conversational agents, and image analysis to create innovative and efficient AI-driven solutions. Collaboration and continuous improvement are key aspects of daily activities.
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 development and deployment of AI models ensuring alignment with project goals and timelines.
- Facilitate knowledge sharing and mentoring within the team to foster professional growth.
- Coordinate cross-functional efforts to integrate AI solutions seamlessly into existing systems.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Large Language Models (LLMs).
- Experience in designing and implementing AI applications using cloud AI services and on-premises infrastructure.
- Strong understanding of generative artificial intelligence models and their practical applications.
- Familiarity with deep learning frameworks and neural network architectures.
- Ability to develop and optimize production-ready AI pipelines ensuring scalability and reliability.
- Experience with chatbot development and image processing techniques.
Additional Information:
- The candidate should have minimum 5 years of experience in Large Language Models (LLMs).
- 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 : 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, a typical day involves designing and building advanced applications and systems that leverage artificial intelligence technologies. This role requires integrating cloud-based or on-premises pipelines to ensure solutions are production-ready and scalable. The work often includes applying generative artificial intelligence models to enhance system capabilities. Additionally, the role may involve exploring various domains such as deep learning, neural networks, conversational agents, and image analysis to create innovative and efficient AI-driven solutions. Collaboration and continuous improvement are key aspects of daily activities.
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 development and deployment of AI models ensuring alignment with project goals and timelines.
- Facilitate knowledge sharing and mentoring within the team to foster professional growth.
- Coordinate cross-functional efforts to integrate AI solutions seamlessly into existing systems.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Large Language Models (LLMs).
- Experience in designing and implementing AI applications using cloud AI services and on-premises infrastructure.
- Strong understanding of generative artificial intelligence models and their practical applications.
- Familiarity with deep learning frameworks and neural network architectures.
- Ability to develop and optimize production-ready AI pipelines ensuring scalability and reliability.
- Experience with chatbot development and image processing techniques.
Additional Information:
- The candidate should have minimum 5 years of experience in Large Language Models (LLMs).
- 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
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Accenture Chennai, Tamil Nadu, IND Office
Chennai, India
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.
