Designs, builds, and deploys production-ready AI solutions using generative models and LLMs. Leads teams, architects cloud and on-prem AI pipelines, implements RAG and vector DBs, fine-tunes models, improves prompt and runtime performance, and integrates conversational and image-processing systems with business goals.
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 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 solve complex problems, as well as exploring areas such as deep learning, neural networks, conversational agents, and image analysis. Collaboration with various teams to align technical implementations with project goals is a key part of daily activities, ensuring innovative and efficient AI-driven solutions are delivered.
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 business objectives.
- Mentor junior team members to foster skill development and knowledge sharing.
- Coordinate cross-functional efforts to integrate AI solutions seamlessly into existing systems.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Generative AI.
- Experience in designing and implementing AI pipelines for both cloud and on-premises environments.
- Strong understanding of deep learning architectures and neural network frameworks.
- Ability to develop and optimize conversational AI systems such as chatbots.
- Familiarity with image processing techniques and their application in AI solutions.
- Skilled in troubleshooting and enhancing AI model performance in production settings.
- Builds, integrates, and optimizes LLMs, RAG pipelines, vector databases, and agent workflows.
- Fine-tunes models, improves prompt performance, and enhances scalability and latency.
- Collaborates with QE, data, and platform teams to operationalize GenAI solutions.
- Hands-on expertise in Python, LLMs, RAG architectures, vector databases, and agent orchestration.
- Azure OpenAI Service with RAG (LLM integration, embeddings, and retrieval pipelines)
Additional Information:
- The candidate should have minimum 5 years of experience in Generative AI.
- 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 : Generative AI
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 solve complex problems, as well as exploring areas such as deep learning, neural networks, conversational agents, and image analysis. Collaboration with various teams to align technical implementations with project goals is a key part of daily activities, ensuring innovative and efficient AI-driven solutions are delivered.
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 business objectives.
- Mentor junior team members to foster skill development and knowledge sharing.
- Coordinate cross-functional efforts to integrate AI solutions seamlessly into existing systems.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Generative AI.
- Experience in designing and implementing AI pipelines for both cloud and on-premises environments.
- Strong understanding of deep learning architectures and neural network frameworks.
- Ability to develop and optimize conversational AI systems such as chatbots.
- Familiarity with image processing techniques and their application in AI solutions.
- Skilled in troubleshooting and enhancing AI model performance in production settings.
- Builds, integrates, and optimizes LLMs, RAG pipelines, vector databases, and agent workflows.
- Fine-tunes models, improves prompt performance, and enhances scalability and latency.
- Collaborates with QE, data, and platform teams to operationalize GenAI solutions.
- Hands-on expertise in Python, LLMs, RAG architectures, vector databases, and agent orchestration.
- Azure OpenAI Service with RAG (LLM integration, embeddings, and retrieval pipelines)
Additional Information:
- The candidate should have minimum 5 years of experience in Generative AI.
- 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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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.
