Senior ML Ops Engineer - Dallas, TX
Tasks
- Apply quantization pruning
- Build statistical models
- Deploy ML models
- Deploy using Docker and Kubernetes
- Design end to end scalable ML systems
- Develop machine learning algorithms
- Ensure delivery of deadlines
- Evaluate machine learning models
- Generate evaluation metrics
- Identify system bottlenecks
- Implement scalable ML systems
- Lead cross-team communication
- Manage CI/CD pipelines
- Monitor models in production
- Optimize ML models
- Provision infrastructure with Terraform
- Write technical documentation
Perks/Benefits
- 401k retirement plan
- Medical, dental, and vision benefits
- Paid Holidays
- Paid time off
- Variable pay/incentives
Skills/Tech-stack
Apache Spark | Big Data | CI/CD | Containerization | Data analytics | Docker | Evaluation metrics | GCP | Hadoop | Infrastructure as Code | Java | JavaScript N/A | Kubernetes | Learning algorithms | Machine Learning | Machine learning algorithms | Model Deployment | Model Monitoring | Model Optimization | N A | On-device Machine Learning | Prompt engineering | Pruning | PyTorch | Python | Quantization | Selection bias | Speculative decoding | Statistical modeling | TensorFlow | Terraform | “as-code”
Education
N/A
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