Senior MLOps Engineer

📋 Description

• Design, implement, and maintain platforms for ML models and AI agents.
• Develop and optimize CI/CD pipelines for AI/ML workflows.
• Collaborate with data scientists and engineers to productionize ML models.
• Ensure scalable, secure infrastructure with reliability and observability.
• Lead model governance, versioning, testing, and validation.
• Improve platform performance and mentor the team on MLOps standards.

🎯 Requirements

• 5–7 years of experience in MLOps, DevOps, software engineering, or related fields.
• Experience building and maintaining scalable ML infrastructure and pipelines.
• Expertise with cloud platforms (AWS, Azure, or GCP), especially managed AI/ML services.
• Proficiency with Docker, Kubernetes, and orchestration tools.
• ML lifecycle management, monitoring, versioning, and experiment tracking (MLflow, Kubeflow, Weights & Biases).
• Infra-as-code with Terraform and CI/CD automation (GitHub Actions, Jenkins).

🎁 Benefits

• Health care options via Collective Health and Kaiser (CA/CO).
• 401k with employer matching.
• Generous vacation policy.
• Paid sick leave.
• Family-friendly benefits and parental leave.
• Wellness and mental health resources.