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 AI services or on-premises solutions to create robust, production-ready pipelines. The engineer applies generative artificial intelligence models to enhance system capabilities, which may include working with deep learning architectures, neural networks, conversational agents, and image analysis 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 requirements and translate them into technical solutions.
• Continuously research and evaluate emerging AI technologies to enhance project outcomes.
• Assist junior team members by sharing knowledge and providing guidance on technical challenges.

Requirements

• Minimum 3 years of experience in Generative AI.
• 15 years full time education.
• Strong experience in developing and deploying AI models in cloud or on-premises environments.
• Familiarity with deep learning techniques and neural network architectures.
• Ability to design and implement scalable AI pipelines for production use.
• Experience with chatbot development and image processing applications.

Skills

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