Machine Learning Engineer
Tasks
- Architect model serving solutions
- Build feature pipelines for training and inference
- Build production ML model deployment and monitoring
- Collaborate with data scientists to translate requirements
- Design scalable ML pipelines
- Implement ML monitoring logging and alerting
- Optimize model performance and resource utilization
Perks/Benefits
- Always on recognition
- Annual wellness days
- Community Outreach Days
- Flexible work environment
- Global collaboration and networking
Skills/Tech-stack
A/B | A/B Testing | AWS EC2 | AWS Lambda | AWS RDS | AWS S3 | AWS SageMaker | Adversarial Machine Learning | B testing | Batch Prediction | CI/CD | Code review | Data Pipelines | Feature Engineering | KServe | MLflow | Machine Learning | Model Monitoring | Model Serving | NLP | PyTorch | Python | REST APIs | Scikit-learn | Streaming | System design | TensorFlow | TensorFlow Serving | Testing | Version control
Education
N/A
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