Senior AI Engineer
Core
Design and build ML DevOps infrastructure to streamline the deployment of data, models, and software in production-level environments for Edge AI applications.
Role type
Senior Machine Learning DevOps Engineer
Builds
End-to-end machine learning pipelines and CI/CD/CT infrastructure for Edge AI
Domain
Automotive and Industrial Edge AI
Deliverable
infrastructure
Required skills
Python, C/C++, Linux, Docker, Kubernetes, Terraform, Ansible, Jenkins, GitLab CI, GitHub Actions, Git, AWS, Azure
Preferred skills
SiL/HiL testing, Prometheus/Grafana/ElasticSearch/Kibana, PyTorch, TensorFlow, Gerrit
Technologies
Docker, Kubernetes, Terraform, Ansible, Packer, Jenkins, GitLab CI, GitHub Actions, Prometheus, Grafana, ElasticSearch, Kibana, PyTorch, TensorFlow, Gerrit
Responsibilities
Coordinate workflow definitions for Edge AI application development; Define secure code practices and repository management strategies; Implement CI/CD/CT pipelines and containerization for model deployment; Collaborate with developers and data scientists to identify automation needs; Identify metrics for DevOps/MLOps practices and use supervision tools.
Seniority
Senior, hands-on IC