Senior Machine Learning Engineer
Tasks
- Build reusable data loaders and retraining workflows
- Create CI/CD pipelines for automation
- Deploy machine learning deep learning models
- Design dataset and label management
- Enable model reproducibility
- Implement generative AI prompt management and testing
- Implement model registry and lineage
- Manage model lifecycle and monitoring
- Optimize latency and cost
- Provide cloud based productionization support
- Run A B testing canary rollouts
- Serve models with autoscaling
- Track experiments and monitor data drift
Perks/Benefits
- Flexible work arrangements
- Health insurance
- Non operational allowance for personal recreation
- Public holidays
Skills/Tech-stack
A/B | A/B Testing | AWS | Amazon SageMaker | Apache Spark | Autoscaling | Azure | B testing | CI/CD | Canary deployments | Cloud platform | Data Drift | Data Drift Detection | Drift Detection | Experiment tracking | Generative AI | Google Cloud | Google Cloud Platform | Java | Langfuse | MLflow | Model Monitoring | Model versioning | MongoDB | PostgreSQL | PyTorch | Python | Redis | TensorFlow
Education
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