Senior Machine Learning Engineer
Moises
full-time
Posted on:
Location Type: Remote
Location: United States
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Job Level
Tech Stack
About the role
- Lead the design and implementation of ML infrastructure
- Develop scalable data pipelines for ML models
- Optimize data loading and processing systems
- Collaborate with research teams to productionize models
- Implement deployment strategies across edge devices and cloud platforms
- Build automated testing and monitoring pipelines
- Mentor team members on MLOps best practices
Requirements
- 5+ years of experience in machine learning engineering or related field
- Proficiency in building ML infrastructure and data pipelines
- Strong knowledge of ML frameworks (e.g., TensorFlow, PyTorch)
- Experience with cloud platforms (AWS, Google Cloud, Azure)
- Familiar with CI/CD practices for ML models
- Knowledge of model optimization and deployment strategies
- Excellent problem-solving skills and ability to work in a fast-paced environment
Benefits
- Competitive compensation
- Flexible paid time off
- Paid parental leave
- Monthly wellness stipend
- Learning & development support (conferences, courses, training)
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
machine learning engineeringML infrastructuredata pipelinesML frameworksTensorFlowPyTorchcloud platformsAWSGoogle CloudAzure
Soft Skills
problem-solvingmentoringcollaborationadaptabilitycommunication