AI / ML Engineer

Role Overview

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.

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 full time education is required.
• 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