Machine Learning Platform Engineer

About the role

Oxipital AI is on a mission to revolutionize the manufacturing industry with its cutting-edge AI-enabled machine vision solutions. These solutions drive greater resilience, operational efficiency, and sustainability in the most complex and critical manufacturing processes. As a fast-growing company striving to make a difference every day, we are seeking a Machine Learning Platform Engineer to help build and maintain our V-CORTX platform and the critical tools and infrastructure that support it. This role entails a particular focus on AWS architecture, containerized CI/CD workflows, full-stack software engineering, deep neural network optimization, cloud-based model training, and data management. You’ll work in a small group of machine learning scientists, collaborating with the cloud engineering team and others in our cross-functional organization. The ideal candidate will have 3-5 years of professional experience designing and implementing high-performance software products in a production environment, and is comfortable working in a fast-paced dynamic environment. We are looking for hands-on work experience in several of the following areas: ML model training using AWS resources, CI/CD pipelines for machine learning, vision-based deep learning, edge deployment, neural network optimization, and full-stack development.  Primary Responsibilities: • Expand the capabilities of our V-CORTX cloud platform with new features around model training infrastructure, evaluation, deployment, managing isolated real and synthetic multi-tenant data, and annotation. • Use best practices to minimize the cost footprint of model development. • Optimize the efficiency of our machine learning models at training and inference time. • Design, develop, and maintain tools and infrastructure for training, deploying, and evaluating vision-based machine learning models. • Contribute to a robust and scalable product pipeline. Requirements:  • Bachelor's degree or equivalent experience in Computer Science, Computer Engineering, or related technical field; graduate degree preferred. • 3-5 years of professional software development experience. • Experience with AWS services such as EC2, S3, ECS, and Batch. And database services like DynamoDB. • Experience with training and deploying machine learning models using cloud-based resources. • Experience with full-stack development, especially serverless architecture on AWS • Experience with Infrastructure as Code frameworks, CloudFormation preferred. • Strong proficiency in Python, particularly with libraries like PyTorch, NumPy, or OpenCV. • Experience with software development and deployment in a Linux environment. • A solid foundation of software development best practices such as issue tracking, static code checking, and automated testing preferred. • Experience with deep neural networks for computer vision applications preferred. • Strong mathematical and analytical skills. • Excellent written and verbal communication skills. • Ability to work both independently and collaboratively on a cross-functional team. • Strong attention to detail.