AI / ML Engineer.
Tasks
- Build predictive forecasting and probabilistic models
- Collaborate with cross-functional teams
- Conduct automated testing for ML systems
- Deploy machine learning models
- Develop production ready machine learning models
- Ensure model reproducibility and reliability
- Implement MLOps and automated deployment pipelines
- Integrate machine learning with BI applications
- Integrate machine learning with enterprise data platforms
- Maintain machine learning solutions
- Perform feature engineering and data preparation
- Support explainable and responsible AI
- Validate and monitor model performance
Perks/Benefits
Skills/Tech-stack
Automated testing | Azure Machine Learning | Data Preparation | Deployment Pipelines | Explainable AI | Feature Engineering | Forecasting | Language Processing | MLOps | MLflow | Machine Learning | Model Validation | Natural Language | Natural Language Processing | Performance Monitoring | Predictive Analytics | Probabilistic Modeling | Python | Responsible AI | Retrieval-Augmented Generation
Education
N/A
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