Technical Consultant – Machine Learning DevOps
Tasks
- Build CI/CD pipelines for ML workflows
- Build data pipelines
- Collaborate with risk and compliance teams
- Create feature engineering model training and inference workflows
- Deploy batch and real time ML solutions
- Design end-to-end machine learning models
- Develop deploy and maintain machine learning pipelines
- Enhance internal ML platforms and tooling
- Ensure regulatory compliance for ML solutions
- Implement model lifecycle management
- Monitor model performance drift bias and stability
- Optimize infrastructure scalability performance and cost
- Work with enterprise data platforms and data warehouses
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Amazon SageMaker | Azure | Batch Processing | CI/CD | Data Pipelines | Data Warehousing | Docker | Feature Engineering | GCP | Inference | Infrastructure Optimization | Kubernetes | LLM | MLOps | Machine Learning | Model Monitoring | Model Training | Model versioning | PyTorch | Python | Real Time | Real-time Processing | Regulatory Compliance | TensorFlow | Time processing | Vertex AI
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