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. This role requires integrating cloud-based or on-premises pipelines to ensure solutions are production-ready and scalable. The work often includes applying generative artificial intelligence models to enhance system capabilities. Additionally, the role may involve exploring various domains such as deep learning, neural networks, conversational agents, and image analysis to create innovative and efficient AI-driven solutions. Collaboration and continuous improvement are key aspects of daily activities in this position.

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 cross-functional teams to align AI solutions with business objectives.
• Continuously research and evaluate emerging AI technologies to enhance project outcomes.
• Document technical designs and implementation details to support knowledge sharing.
• Assist junior team members by providing guidance and support in technical challenges.

Requirements

• Minimum 3 years of experience in Large Language Models (LLMs).
• 15 years full time education.
• Strong experience in developing and deploying AI applications using cloud AI services and on-premises infrastructure.
• In-depth understanding of deep learning frameworks and neural network architectures.
• Ability to design and implement production-grade AI pipelines ensuring scalability and reliability.
• Familiarity with chatbot development and image processing techniques.
• Experience in optimizing AI models for performance and resource efficiency.

Skills

• Large Language Models (LLMs)
• Generative AI
• Agentic AI
• Deep Learning
• Neural Networks