Machine Learning / AI Engineer (Contract)
Tasks
- Automate model retraining, testing, and monitoring
- Build data pipelines
- Define ML solutions
- Deploy ML models to production
- Develop proof of concepts
- Document ML workflows
- Engineer machine learning models
- Ensure AI policy compliance and governance
- Implement MLOps model versioning
- Integrate solutions with enterprise platforms
- Monitor model performance
- Support feature engineering
Perks/Benefits
- N/A
Skills/Tech-stack
AI Governance | AWS | Airflow | Azure | Bias and fairness | Bias and fairness testing | CI/CD | Cloud Computing | Data Pipelines | Data Privacy | Data anonymization | Docker | Fairness testing | Feature Engineering | GCP | Graph Database | Kubeflow | Kubernetes | Language Processing | MLOps | MLflow | Model Monitoring | Model Risk Management | Model risk | Model versioning | Natural Language | Natural Language Processing | NoSQL | Pandas | PyTorch | Python | Risk Management | Scikit-learn | Supervised Learning | TFX | TensorFlow | Time Series | Unsupervised Learning
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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