Machine Learning Engineer
Job Summary
Driving the development and deployment of AI-powered systems, the full-time Machine Learning Engineer will manage the end-to-end lifecycle of models, implement automated testing frameworks, and ensure code quality while working remotely or onsite.
Key responsibilities
- Architect, deploy, and scale open-source models using distributed orchestration frameworks like Kubernetes and Ray
- Design and build machine learning systems and data pipelines, focusing on model evaluation and deployment
- Conduct comprehensive model benchmarks and error analysis while communicating findings to stakeholders
Required qualifications
- Master's or PhD in Computer Science, Electrical Engineering, or a related field, or equivalent experience
- 3+ years of professional experience in production-grade asynchronous Python development
- Deep experience with AI tools and ML frameworks such as LangChain, TensorFlow, and PyTorch
- Hands-on experience with deployment and orchestration using Kubernetes, Ray, or Slurm
- Advanced knowledge of GitLab CI/CD and familiarity with Python testing frameworks like PyTest
Complete Job Description
The complete job description is available to members. Premium membership includes:
Full access to 40,966 remote jobs from human-vetted companies, updated daily
Resume Builder - AI-powered tool to craft, enhance, and tailor your resume to a specific job
Twice-monthly live group coaching and the full Remote Career Center
20% member discount on Career Services
Backed by a 30-day money-back guarantee
Company Company Name
Headquarters Headquarters
Founded Founded
Website
Wikipedia Wikipedia URL
BBB URL BBB URL
The company description is available to members. Go Premium for full access to every job and company profile in our remote jobs database, backed by a 30-day money-back guarantee.
