Technical Consultant – Machine Learning
Tasks
- Build inference workflows
- Build machine learning pipelines
- Collaborate with risk and compliance teams
- Deploy batch machine learning
- Deploy machine learning solutions
- Deploy real time machine learning
- Design data pipelines
- Design machine learning models
- Develop CI/CD pipelines
- Enhance internal machine learning platforms
- Ensure model governance compliance
- Implement MLOps practices
- Implement feature engineering workflows
- Implement model lifecycle management
- Implement model monitoring
- Implement model retraining
- Implement model testing
- Implement model versioning
- Maintain machine learning models
- Manage model risk
- Monitor model bias
- Monitor model drift
- Monitor model performance
- Monitor model stability
- Optimize infrastructure cost
- Optimize infrastructure performance
- Optimize infrastructure scalability
- Support audit documentation
- Support model validation
- Train models
- Work with cloud data warehouses
- Work with enterprise data platforms
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | AWS SageMaker | Amazon Redshift | Amazon SageMaker | Azure | Batch Machine Learning | CI/CD | Cloud platform | Data Pipelines | Feature Engineering | Google Cloud | Google Cloud Platform | Google Vertex | Google Vertex AI | Inference | LLMs | MLOps | Machine Learning | Model Monitoring | Model Training | Model versioning | PyTorch | Python | Real Time | Real-time Machine Learning | SQL | Snowflake | TensorFlow | Vertex AI
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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