AI ML Engineer

Role Overview Accenture in India is looking for a skilled AI ML Engineer to join its Chennai team and contribute to the development of intelligent applications and systems powered by artificial intelligence and cloud-based services. In this role you will design and manage end-to-end AI application pipelines ready for production deployment across cloud and on-premises environments. You will integrate generative AI models into real-world solutions and collaborate with cross-functional teams to continuously improve AI-driven systems. Key Responsibilities - Design and develop advanced AI and ML applications using cloud AI services and modern deployment pipelines - Integrate generative AI models, deep learning frameworks, and neural network architectures into production-grade solutions - Monitor, optimise, and ensure the reliability and scalability of AI applications in live environments - Collaborate with stakeholders to gather project requirements and translate them into robust technical solutions - Contribute actively to team discussions and provide guidance and mentorship to junior engineers - Document technical processes and share knowledge to support team growth and project continuity - Apply CI/CD best practices and production-level software engineering standards across all deliverables Required Qualifications - Minimum 3 years of hands-on experience in Machine Learning Operations - Proficiency in deploying and managing AI application pipelines on cloud platforms - Strong understanding of generative AI models and their practical use cases - Experience with deep learning frameworks and neural network design - Familiarity with chatbot development and image processing using AI tools - 15 years of full-time formal education is required Why Join Us Accenture offers a dynamic and innovation-driven work environment where you can grow as a subject matter expert in AI and ML technologies. This is an excellent opportunity to work on cutting-edge projects that make a real impact at scale.

- Minimum 3 years of experience in Machine Learning Operations - Proficiency in cloud platforms and AI deployment pipelines - Hands-on experience with generative AI models - Knowledge of deep learning frameworks and neural network architectures - Familiarity with chatbot development and image processing - Understanding of CI/CD workflows and production software engineering practices - 15 years of full-time education