Develop and deploy production-ready AI applications using generative AI, cloud or on-premises pipelines, deep learning, neural networks, chatbots, and image processing. Optimize model performance, troubleshoot AI systems, document technical processes, collaborate with cross-functional teams, and guide junior team members while contributing solutions and technical expertise.
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 : Generative AI
Good to have skills : NA
Minimum 3 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 engineer works on implementing generative AI models as part of comprehensive solutions, which may also encompass deep learning techniques, neural network architectures, conversational agents, and image processing tasks. Collaboration with cross-functional teams to align technical implementations with project goals is a key aspect of daily activities, ensuring innovative and efficient AI-driven outcomes.
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.
- Collaborate with team members to continuously improve AI model performance and deployment strategies.
- Assist in documenting technical processes and best practices to support knowledge sharing within the team.
- Support junior team members by providing guidance and sharing expertise to foster professional growth.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Generative AI.
- Experience in designing and deploying AI models within cloud or on-premises environments.
- Strong understanding of deep learning frameworks and neural network architectures.
- Ability to develop and optimize AI pipelines for production-level applications.
- Familiarity with chatbot development and image processing techniques.
- Skilled in troubleshooting and enhancing AI system performance.
Additional Information:
- The candidate should have minimum 3 years of experience in Generative AI.
- This position is based at our CDC2E - 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 : Generative AI
Good to have skills : NA
Minimum 3 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 engineer works on implementing generative AI models as part of comprehensive solutions, which may also encompass deep learning techniques, neural network architectures, conversational agents, and image processing tasks. Collaboration with cross-functional teams to align technical implementations with project goals is a key aspect of daily activities, ensuring innovative and efficient AI-driven outcomes.
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.
- Collaborate with team members to continuously improve AI model performance and deployment strategies.
- Assist in documenting technical processes and best practices to support knowledge sharing within the team.
- Support junior team members by providing guidance and sharing expertise to foster professional growth.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Generative AI.
- Experience in designing and deploying AI models within cloud or on-premises environments.
- Strong understanding of deep learning frameworks and neural network architectures.
- Ability to develop and optimize AI pipelines for production-level applications.
- Familiarity with chatbot development and image processing techniques.
- Skilled in troubleshooting and enhancing AI system performance.
Additional Information:
- The candidate should have minimum 3 years of experience in Generative AI.
- This position is based at our CDC2E - 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
Similar Jobs
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
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.
