AI / ML Engineer

Role Overview

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 end-to-end application pipelines, ensuring solutions are production-ready and scalable. Daily activities may include integrating Generative AI models into various projects, working with Deep Learning frameworks, developing Neural Network architectures, and implementing intelligent systems such as chatbots and image processing tools.

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 project requirements and translate them into technical solutions.
• Continuously research and evaluate emerging AI technologies to improve existing systems.
• Assist junior team members by sharing knowledge and providing guidance on technical challenges.
• Ensure the deployment and maintenance of AI models meet quality and performance standards.

Requirements

• Minimum 3 years of experience in Machine Learning (ML).
• 15 years of full-time education.
• Strong experience in designing, developing, and deploying machine learning models in production environments.
• Familiarity with cloud platforms and AI services to build scalable and efficient AI solutions.
• Knowledge of Deep Learning techniques, Neural Networks, and their practical applications.
• Ability to work with various AI tools and frameworks to implement intelligent systems such as chatbots and image processing.
• Experience in optimizing AI pipelines for performance, reliability, and maintainability.

Skills

• Machine Learning
• Generative AI
• Agentic AI
• Deep Learning
• Neural Networks