Senior AI Engineer
Tasks
- Build machine learning deployment pipeline
- Collaborate with data scientists and engineers on tooling needs
- Containerize and manage model releases
- Define secure code practices
- Deploy machine learning models to production
- Design edge AI workflow automation
- Implement Continuous Integration and Continuous Deployment
- Manage repositories for proprietary and open source code
- Select DevOps and MLOps metrics
- Use monitoring tools for performance and reliability
Perks/Benefits
Skills/Tech-stack
AWS | Ansible | Azure | C# | C++ | CI/CD | Containerization | Continuous Deployment | Docker | Elasticsearch | Git | GitHub Actions | GitLab CI | Grafana | Infrastructure as Code | Jenkins | Kibana | Kubernetes | Linux | Machine Learning | Monitoring | Packer | Prometheus | PyTorch | Python | TensorFlow | Terraform | “as-code”
Education
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