About this role
Overview:
As an AI / ML Engineer at Accenture (based in the Chennai office), you will design and build advanced AI applications and systems that leverage Large Language Models (LLMs) and other AI techniques. The role focuses on delivering production-ready, scalable solutions using cloud AI services and on-premises pipelines and may involve generative AI models, deep learning, neural networks, conversational agents and image processing.
Primary responsibilities:
- Act as an SME and lead design and implementation of AI-driven solutions, ensuring alignment with project goals and timelines.
- Develop, integrate and deploy LLM-based and generative AI components as part of end-to-end solutions.
- Design and maintain production-quality AI pipelines (cloud and on-prem), ensuring robustness, scalability and operational readiness.
- Contribute to architecture and key technical decisions and provide cross-team solutions for complex problems.
- Mentor and manage junior team members and coordinate cross-functional efforts to optimize model integration and deployment.
Required qualifications and experience:
- Minimum 5 years of relevant experience; role listing indicates 5-10 years of experience.
- Mandatory proficiency and experience with Large Language Models (LLMs).
- Experience developing and deploying AI applications using cloud AI services and on-premises infrastructure.
- Strong understanding of generative AI models and practical applications, familiarity with deep learning frameworks and neural network architectures.
- Experience with chatbot development and image processing techniques.
- Educational requirement: 15 years full-time education.
Other details:
- Location: Chennai office (on-site).
- Employment type: Full-time.
- The role emphasizes team leadership, SME-level ownership and cross-team collaboration. No salary or specific benefits are stated in the posting.
Skills for this role
Large Language Models (LLMs)Generative AIDeep LearningNeural NetworksChatbot DevelopmentImage ProcessingCloud AI ServicesOn-premises InfrastructureProduction AI PipelinesDeep Learning FrameworksAI Model IntegrationModel DeploymentAI System DesignTeam LeadershipMentoringCross-functional Collaboration