Senior MLOps Engineer
📍 Remote – USA
A fast-growing, VC-backed AI company is seeking a Senior MLOps Engineer to help design and maintain the infrastructure that powers production-scale machine learning systems.
This role sits at the intersection of ML and infrastructure, focused on building the pipelines, automation, and monitoring that enable models to be deployed quickly, reliably, and at scale.
Responsibilities
- Design, build, and maintain infrastructure for deploying, monitoring, and updating ML models in production.
- Automate end-to-end pipelines covering ingestion, preprocessing, training, validation, and deployment.
- Implement monitoring for model performance, drift, latency, and accuracy.
- Ensure ML systems are secure, scalable, and cost-efficient.
- Partner with ML engineers, data scientists, and product teams to move models seamlessly from research to production.
- Apply software engineering best practices—including CI/CD, testing, and version control—to ML workflows.
- Continuously improve documentation, tooling, and infrastructure.
Requirements
- 4+ years of experience in MLOps with hands-on ownership of production ML systems.
- Degree in Computer Science or a related field (Bachelor’s or Master’s).
- Strong expertise in Python and ML libraries (TensorFlow, PyTorch, or similar).
- Experience with ML lifecycle management tools.
- Practical experience deploying and monitoring deep learning models.
- Proficiency with cloud platforms (AWS, Azure, or GCP).
Fully remote, great equity and the chance to join a rocketship available here. If you'd like to find out more, don't hesitate to apply!
