AI / ML Engineer

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 : Large Language Models (LLMs) Good to have skills : Microsoft Agentic AI Architecture Minimum 3 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 and cloud-based AI services. The role requires managing application pipelines that are production-ready, whether deployed on cloud platforms or on-premises environments. The engineer integrates generative artificial intelligence models into solutions and may work with a variety of AI techniques including deep learning, neural networks, conversational agents, and image processing. Collaboration with cross-functional teams to ensure seamless deployment and continuous improvement of AI-driven applications is a key aspect of daily activities. Roles & Responsibilities: - Expected to perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providing solutions to work related problems. - Collaborate with stakeholders to understand requirements and translate them into technical solutions. - Continuously monitor and optimize AI models and systems for performance and scalability. - Document processes and maintain clear communication channels within the team. - Support junior team members by sharing knowledge and assisting in problem-solving. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models (LLMs), Microsoft Agentic AI Architecture. - Good To Have Skills: Experience with Microsoft Agentic AI Architecture. - Strong understanding of AI model deployment and lifecycle management. - Experience with cloud AI services and integration of AI models into production pipelines. - Familiarity with deep learning frameworks and neural network architectures. - Ability to work with generative AI models and implement solutions involving chatbots and image processing. Additional Information: - The candidate should have minimum 3 years of experience in Large Language Models (LLMs). - This position is based at our Gurugram 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.