3 months ago
Remote, Worldwide or New York, NY, USAMid Level / Senior
H1B Sponsor
Base Salary
$160k - $220k/yr
Responsibilities
- Design and build CI/CD pipelines for ML model development and deployment.
- Architect and maintain model deployment pipelines from research to production.
- Build A/B testing infrastructure for controlled rollouts of new models.
- Implement comprehensive monitoring for model performance in production.
- Develop automated retraining pipelines based on data changes or performance issues.
- Create and maintain build and test environments that mirror production.
- Establish model versioning and rollback capabilities for safe deployments.
- Collaborate with research engineers to define model quality gates.
- Build observability dashboards for real-time model health insights.
- Optimize model serving infrastructure for latency and cost efficiency.
Requirements
- 4+ years of experience in MLOps, DevOps, or infrastructure engineering focused on ML systems.
- Strong proficiency in Python and experience with ML workflow automation.
- Deep experience with CI/CD systems for software and model delivery.
- Hands-on experience with Docker and Kubernetes for workload management.
- Practical experience deploying and serving ML models in production.
- Familiarity with model evaluation and quality assurance processes.
- Understanding of monitoring and observability principles for ML systems.
- Strong problem-solving skills with a bias toward automation.
Benefits
- Medical, dental, and vision benefits.
- Annual wellness stipend and mental health support.
- Unlimited PTO and generous paid parental leave.
- Flexible schedule and 12 paid US company holidays.
- 401(k) plan with company match and tax savings programs.
- Learning and education stipend for continuous learning opportunities.