Full-Time
ML Systems Engineer
Confirmed live in the last 24 hours
Edge MLOps pipeline for neural networks
Data & Analytics
AI & Machine Learning
Mid
Princeton, NJ, USA
Required Skills
Bash
Kubernetes
Python
Management
Docker
Quality Assurance (QA)
Ansible
Development Operations (DevOps)
Linux/Unix
Requirements
- Bachelor's degree in Computer Science, Information Technology, or related field
- Proven experience in IT role with focus on AI or machine learning projects
- Proficiency in Python and Bash scripting languages
- Solid understanding of Linux system management (Ubuntu, RedHat)
- Experience with Ansible and Out-Of-Bands Server Management
- Familiarity with Docker and Kubernetes
- US Citizen with ability to get security clearance
Responsibilities
- Building and maintaining NVIDIA and other based artificial intelligence platforms
- Planning, building, and maintaining new systems supporting Latent AI DevOps flow
- Maintaining supported software configurations and dependencies
- Automating configuration management, monitoring, and software updates using DevOps tools
- Supporting QA and performance test integration with hardware farm
- Implementing and maintaining system monitoring and logging solutions
- Collaborating on AI model deployment strategies
- Staying updated on advancements in embedded platforms
Latent AI, Inc. is an excellent workplace for those interested in cutting-edge machine learning operations. The company specializes in developing advanced MLOps pipelines tailored for edge devices, enhancing neural networks’ efficiency, security, and scalability. This focus on practical, transparent workflows and optimized model deployment cultivates a dynamic, technically enriching environment that stands out in the AI industry.
Company Stage
Series A
Total Funding
$25.5M
Headquarters
Menlo Park, California
Founded
2018
Growth & Insights
Headcount