AI / ML Engineer

The AI / ML Engineer develops production-ready AI applications and systems using AI tools and cloud AI services, with cloud or on-premises application pipelines. The role includes integrating generative AI models and may involve deep learning, neural networks, chatbots and image processing.

Responsibilities

• Design, build, deploy, monitor and optimize AI models and pipelines for performance and reliability.
• Work with stakeholders and cross-functional teams to translate requirements into technical solutions and contribute to team discussions and problem-solving.
• Work independently, develop subject-matter expertise, document processes, share knowledge and guide junior team members.

Requirements

• Proficiency in Machine Learning Operations, including production AI model deployment and lifecycle management across training, validation and monitoring.
• Experience with cloud platforms; familiarity with containerization and orchestration tools; ability to integrate generative AI models into applications; and knowledge of deep learning frameworks and neural network design principles.
• The posting states a minimum of 3 years of experience, including at least 3 years in Machine Learning Operations, and requires 15 years of full-time education. Its header also lists an experience range of 2–5 years.

The job header lists Gurugram, while the description states that the position is based at the Bengaluru office.