Senior Machine Learning Engineer
Tasks
- Deploy production ML models
- Design scalable ML pipelines
- Detect model drift
- Ensure compliance aware model governance
- Implement CI/CD for model deployment
- Implement automated testing for pipelines
- Implement real-time model monitoring
- Integrate models into APIs and services
- Maintain technical documentation for ML systems
- Mentor junior machine learning engineers
- Orchestrate services with Kubernetes
- Track model lineage
- Use Docker for model containerization
- Validate data for model training and inference
Perks/Benefits
- Cell phone allowance
- Data benefits
- Fibre connection discount
- Health insurance
- Retirement benefits
- Risk benefits
- Staff discounts
Skills/Tech-stack
AWS EC2 | AWS IAM | AWS KMS | AWS S3 | Amazon CloudWatch | Amazon EKS | Amazon SageMaker | Apache Airflow | Bash | CI/CD | Databricks | Docker | Encryption | Evidently AI | Feast | Feature Store | Grafana | Kubeflow | Kubernetes | MLflow | Model versioning | Prometheus | PyTorch | Python | RBAC | SQL | Scikit-learn | TensorFlow | Terraform | XGBoost
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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