Senior Specialist Machine Learning
Tasks
- Automate model deployment with CI/CD
- Deploy models to production
- Design scalable ML pipelines
- Ensure model governance and lineage tracking
- Implement automated tests for pipelines and data validation
- Implement model monitoring and drift detection
- Integrate models into APIs and systems
- Maintain technical documentation for models and workflows
- Mentor junior machine learning engineers
- Translate prototypes into production code
Perks/Benefits
- Cell phone benefits
- Data benefits
- Fibre connection discount
- Medical aid benefits
- Retirement benefits
- Risk benefits
- Staff discounts
Skills/Tech-stack
AWS EC2 | AWS EKS | AWS IAM | AWS KMS | AWS S3 | Amazon CloudWatch | Amazon SageMaker | Apache Airflow | Bash | Databricks | Docker | Encryption | Evidently AI | Feast | Feature Store | Grafana | Kubeflow | Kubernetes | MLflow | Model versioning | Prometheus | PyTorch | Python | RBAC | Reproducibility | SQL | Scikit-learn | TensorFlow | Terraform | XGBoost
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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