Lead ML Ops - Dallas, TX, United States
Tasks
- Apply monitoring and logging practices
- Automate ML infrastructure deployments
- Build CI/CD pipelines
- Design scalable ML infrastructure solutions
- Develop machine learning deployment workflows
- Ensure infrastructure security, reliability, and compliance
- Implement containerized environments
- Implement infrastructure as code with Terraform
- Mentor junior team members
- Optimize cloud resource utilization
Perks/Benefits
- 401k retirement plan
- Dental benefits
- Medical benefits
- Paid Holidays
- Paid time off
- Variable pay/incentives
- Vision benefits
Skills/Tech-stack
AWS | Apache Spark | Azure | CI/CD | Cloud platform | Docker | ELK Stack | Google Cloud | Google Cloud Platform | Grafana | Hadoop | Infrastructure as Code | Java | Kubernetes | Prometheus | PyTorch | Python | Scikit-learn | TensorFlow | Terraform | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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