AI / ML Engineer

The AI / ML Engineer designs and builds production-ready applications and systems using AI tools and cloud AI services. The role includes integrating generative AI models into solutions and managing application pipelines for cloud or on-premises deployment. Work may also involve deep learning, neural networks, chatbots and image processing.

Responsibilities

• Develop, maintain and optimize AI application pipelines for performance and reliability.
• Work with stakeholders to turn requirements into technical solutions, and collaborate across teams on deployment and continuous improvement.
• Perform independently, contribute to team discussions and problem-solving, support junior team members, and evaluate emerging AI technologies.

Requirements

• A minimum of 3 years of experience is required. The posting also specifies a minimum of 3 years with Microsoft Azure AI Foundry; its job header lists an experience range of 2–5 years.
• Proficiency in Microsoft Azure AI Foundry, Microsoft Azure Machine Learning and Microsoft Azure OpenAI Service. The posting identifies Microsoft Foundry as a required skill and also lists Azure Machine Learning and Azure OpenAI Service as good-to-have skills.
• Knowledge of cloud computing and deployment strategies; experience developing and deploying generative AI models and using deep learning frameworks; familiarity with neural networks, chatbots and image processing; and the ability to design scalable, maintainable cloud AI solutions.
• 15 years of full-time education.

This full-time position is listed in Nagpur, at Accenture’s HDC4 - SEZ location.