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 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 monitor and optimize AI models and systems to maintain high performance and reliability.
• Document technical designs, processes, and best practices to support knowledge sharing within the team.
• Assist junior team members by providing guidance and support to foster their professional growth.

Requirements

• Minimum 3 years of experience in Machine Learning (ML).
• 15 years of full-time education.
• Strong knowledge of Deep Learning techniques and Neural Network architectures.
• Experience with Cloud AI platforms and services for deploying scalable AI solutions.
• Familiarity with Generative AI models and their practical applications.
• Ability to develop and maintain production-grade AI pipelines and workflows.
• Competence in working with AI tools for Natural Language Processing, Computer Vision, and chatbot development.

Skills

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