Senior ML Ops Engineer - Dallas, TX
Tasks
- Deploy machine learning models
- Design end to end scalable ML systems
- Develop statistical modeling
- Evaluate machine learning models
- Generate model metrics
- Identify system bottlenecks
- Implement CI/CD pipelines
- Implement scalable ML systems
- Manage containers using Kubernetes
- Monitor machine learning models
- Optimize machine learning models
- Provision infrastructure with Terraform
- Prune models
- Quantize models
Perks/Benefits
- 401k retirement plan
- Medical, dental, vision benefits
- Paid Holidays
- Paid time off
- Variable pay/incentives
Skills/Tech-stack
Apache Spark | Big Data | CI/CD | Containerization | Docker | Evaluation | GCP | Hadoop | Infrastructure as Code | Java | Kubernetes | MLOps | Machine Learning | Metric Generation | Model Deployment | Model Monitoring | On-device Machine Learning | Prompt engineering | Pruning | PyTorch | Python | Quantization | Statistical modeling | TensorFlow | Terraform | “as-code”
Education
N/A
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