Senior Dev/ML Ops Engineer
Core
Own and manage the full lifecycle of ML models and core infrastructure, from development and deployment to monitoring and continuous improvement for industrial humanoid robots.
Role type
Senior Dev/MLOps Engineer
Builds
Production ML models and scalable compute infrastructure for HMND-01 Alpha humanoid robots
Domain
Robotics, Industrial Automation, Cloud Infrastructure
Deliverable
production ML models | infrastructure
Required skills
Python, TensorFlow, PyTorch, AWS, GCP, Azure, Docker, Kubernetes, CI/CD, Terraform, Helm, ETL pipelines, large-scale batch/stream processing, distributed systems debugging
Preferred skills
Security and compliance best practices for software and ML systems
Technologies
GitHub Actions, GitLab CI, ArgoCD
Responsibilities
Build and maintain robust CI/CD pipelines for software and ML workflows; Ensure reliability, scalability, observability, and security of production systems; Automate deployment, orchestration, and environment management; Collaborate with software engineers, data scientists, and product teams; Proactively detect, troubleshoot, and resolve infrastructure and model performance issues; Document infrastructure, workflows, and operational procedures
Seniority
Senior, hands-on IC
