About this role
Intro: The AI / ML Engineer at Accenture is responsible for designing and building advanced applications and systems that leverage AI technologies and cloud-based AI services, delivering production-ready application pipelines and integrating generative AI models into solutions. The role may encompass deep learning, neural networks, conversational agents (chatbots) and image processing, and requires collaboration with cross-functional teams.
Key responsibilities:
- Design, develop and deliver AI/ML applications and production-ready application pipelines for cloud or on-prem environments.
- Apply generative AI and Large Language Models (LLMs) as part of solution implementations.
- Participate actively in team discussions and contribute solutions to work-related problems; act independently and evolve into an SME.
- Collaborate with team members to continuously improve AI model performance, reliability and application integration.
- Document technical processes, share knowledge, and support project continuity.
- Mentor and guide junior team members, sharing best practices.
Required qualifications and experience:
- Must have proficiency in Large Language Models (LLMs); the posting lists experience: 2-5 years (and additionally states a minimum of 3 years of experience is required, including experience in LLMs).
- Educational qualification: 15 years of full-time education.
- Strong understanding of AI model deployment and integration within cloud or on-premises environments.
- Experience developing and optimizing generative AI models and familiarity with deep learning frameworks and neural network design.
Preferred / Good-to-have:
- Experience with Microsoft Agentic AI Architecture.
- Prior work on conversational AI systems (chatbots) and image processing algorithms.
Location and working arrangement:
- This position is based at Accenture's Chennai office (on-site).
Skills for this role
Large Language Models (LLMs)Microsoft Agentic AI ArchitectureGenerative AIDeep LearningNeural NetworksChatbotsConversational AIImage ProcessingAI Model DeploymentCloud AI ServicesOn-premises DeploymentAI Model OptimizationDeep learning frameworksModel Integration