Designs and implements production-ready AI/ML systems using generative models, LLMs, RAG and vector DBs; builds pipelines on cloud and on-prem, mentors team members, and integrates conversational and image-processing solutions.
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 engineer works on implementing generative artificial intelligence models as part of comprehensive solutions, which may also encompass deep learning techniques, neural network architectures, conversational agents, and image processing tasks. Collaboration with various teams to align development efforts and maintain high-quality standards is a key aspect of daily activities, ensuring that innovative AI-driven products meet organizational goals and user needs.
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 that align with project objectives and timelines.
- Mentor junior team members to foster skill development and knowledge sharing within the team.
- Coordinate cross-functional efforts to ensure seamless integration of AI components into broader systems.
- Continuously evaluate emerging AI technologies and methodologies to enhance existing solutions and processes.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Generative AI.
- Experience with designing and deploying AI models in cloud environments and on-premises infrastructures.
- Strong understanding of deep learning frameworks and neural network architectures.
- Ability to develop and optimize conversational AI systems such as chatbots.
- Familiarity with image processing techniques and their application in AI solutions.
- Skilled in building production-quality AI pipelines that ensure reliability and scalability.
- 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 engineer works on implementing generative artificial intelligence models as part of comprehensive solutions, which may also encompass deep learning techniques, neural network architectures, conversational agents, and image processing tasks. Collaboration with various teams to align development efforts and maintain high-quality standards is a key aspect of daily activities, ensuring that innovative AI-driven products meet organizational goals and user needs.
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 that align with project objectives and timelines.
- Mentor junior team members to foster skill development and knowledge sharing within the team.
- Coordinate cross-functional efforts to ensure seamless integration of AI components into broader systems.
- Continuously evaluate emerging AI technologies and methodologies to enhance existing solutions and processes.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Generative AI.
- Experience with designing and deploying AI models in cloud environments and on-premises infrastructures.
- Strong understanding of deep learning frameworks and neural network architectures.
- Ability to develop and optimize conversational AI systems such as chatbots.
- Familiarity with image processing techniques and their application in AI solutions.
- Skilled in building production-quality AI pipelines that ensure reliability and scalability.
- 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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