ML Ops/ DevOps Engineer

Company: Apex Systems
Location: San Diego
Posted on: March 5, 2025

Job Description:

We see you're coming in from Europe. Are you interested in a position with Apex Systems? Send us your information and resume or call us at our Cork office +353 21 2330 150Job#: 2062317Job Description:Computer Vision Team - Part of a larger Data Science group, tasked with building out Machine Learning and AI pipelines based on Hospital and Clinical studies imaging (Radiology Analytics) Micro and Macroscopic visuals, and Academic quality code and models. Hardening and bulletproofing the code then productizing it.Current Focus: We need a resource who is equipped to handle ML and AI related issues with the code and GPU memory (AI pipelines). This resource needs strong PyTorch skills as this role will be more AI development focused and less involved with deployment and Docker efforts.What this Team is doing---Bulletproofing the code to ensure it is tested and robust before deploying it to the AWS Cloud Platform. This team handles everything up to the point of deployment.They need someone who can step in and provide support to multiple project efforts with a focus on Deployment and DevOps processes for putting the code out to the users."We need a resource with Deployment skills--- Docker, DevOps, Jenkins, while still having foundational Python Development capabilities. A resilient attitude and a willingness to roll up their sleeves and dive in is essential. An MLOps focused background could work, with solid experience in productizing the code. Qualified candidates should have solid Python experience and some degree of ML or data science work. This resource will be taking academic quality code and models created by a data scientist and will have to harden and put that code into an ML pipeline to productize it. This project will have its challenges, and this resource may wear many hats, but the right individual will thrive in our environment."Project Overview:

• They have AI models and Data, but they have a lot of stuff in between that needs to be connected.
• They need to ensure that the programming is good for production.
• DDL
• AI - developing models and AI Algorithms.
• Visualizer and data is getting to the visualizer.
• Seeking a skilled and versatile resource (Software Engineer / DevOps / Python).
• Deployment.
• Code is written - POC type of work and they need to productize.
• In production, the code will not break.
• Edge cases, where will it be deployed, hardware, cloud environment, how everything will be tested.
• Working with developers to translate to Docker container and change to code that is more tested.
• Software.
• Testing.
• Test Driven Development is where they are missing.
• Thinking long term.
• They need to be driven to break code and find the weaknesses before deployment.
• Targeted Tech Skills:
• Python / PyTorch.
• Docker / Containerization.
• Writing tests, writing robust code that won't break in production.
• Jenkins.
• Automation & Optimization.
• CPU and GPU type of deployment.
• RestAPI - Using existing APIs not building.
• Nice to Have:
• VDI and CUDA - not programming CUDA but troubleshooting, code optimization GPU.
• Video Encoding - Endoscopy video specifically - video and coding AI Systems.EEO EmployerApex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law.Employee Type:ContractJob Type:Applications and Data Management
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Keywords: Apex Systems, San Diego , ML Ops/ DevOps Engineer, Engineering , San Diego, California