Senior MLOps Engineer
Location: Silicon Valley, Hybrid
DeepRec.ai is partnered with a stealth-mode robotics startup in the Bay Area, recently backed by a substantial funding round. They are building world-leading general-purpose AI robots and are growing their team of 10 engineers.
We’re seeking an experienced MLOps Engineer to design and maintain infrastructure supporting software development, machine learning models, and AI operations.
Key Responsibilities:
- Build and manage CI/CD pipelines for smooth code integration and deployment.
- Monitor and optimize performance, availability, and security.
- Automate infrastructure using tools like Kubernetes and Ansible.
- Troubleshoot application and infrastructure issues.
- Collaborate with development and AI teams for efficiency improvements.
Required Skills:
- Experience with MLOps platforms (e.g., MLflow, Kubeflow).
- Proven track record in building CI/CD systems from scratch.
- Proficiency with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
- Strong programming skills (Python, Go, or Java).
Bonus Skills:
- Knowledge of big data technologies, edge computing, and GitOps practices.
If you thrive in a fast-paced startup environment, we'd love to hear from you!
