Description

You will lead the design and implementation of AI solutions and manage the lifecycle of large-scale ML systems.

Responsibilities

• Lead the design and implementation of AI solutions across various platforms.
• Develop and optimize machine learning models and algorithms.
• Integrate AI capabilities into existing systems through cross-functional collaboration.
• Oversee the transformation of data from CAD, Simulation, and JT files into Open VSD formats.
• Manage full-stack development to ensure seamless interaction between front-end and back-end services.
• Set up and manage workloads on AWS, Azure, or VM cloud environments.
• Diagnose and resolve networking issues using Wireshark and Iperf.

Required Skills

• 15-20 years of IT industry experience with extensive exposure to Machine Learning and Artificial Intelligence projects.
• Expertise in Gen AI, Data Science, and Machine Learning.
• Strong proficiency in C/C++ and parallel programming using CUDA C/C++.
• Hands-on experience with full-stack development and performance optimization.
• Deep knowledge of containerization and virtualization using Docker and Kubernetes.
• Experience managing workloads on Cloud Service Providers including AWS and Azure.
• Ability to troubleshoot network and infrastructure issues using Wireshark and Iperf.
• Any Graduate degree.

Key Skills

Education

Any Graduate