MLOps Engineer
7600 Gateway Blvd - NEWARK, United States
USD 158K-208K Senior-level Full Time
Tasks
- Build and maintain cloud environments for AI and ML
- Collaborate on model training deployment and inference pipelines
- Design scalable infrastructure for AI and ML systems
- Develop CI CD pipelines for model deployment testing and monitoring
- Evaluate and integrate MLOps tools and technologies
- Implement security data privacy and compliance in AI and ML workflows
- Maintain Kubernetes pods container registry and model registry
- Manage model training and inference pipelines across multi cloud tenants
- Monitor infrastructure utilization and costs
- Monitor troubleshoot AI and ML systems for reliability
- Provide technical guidance and mentor team members
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Agile | Azure | CI/CD | CircleCI | CloudFormation | Docker | GitHub Actions | GitLab CI | GitLab CI/CD | Go | Google Cloud | Infrastructure as Code | Kubernetes | Machine Learning | PyTorch | Python | Rust | Scikit-learn | TensorFlow | Terraform | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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