Senior AI/ML Engineer (AI Lead)
Tasks
- Build MLops pipelines
- Collaborate on data pipelines and feature engineering
- Deploy and monitor models
- Design machine learning models end to end
- Develop machine learning models in production
- Ensure model explainability
- Establish model governance documentation and versioning
- Implement model monitoring for drift and data quality
- Implement retraining and lifecycle management
- Mentor team members and promote production ML best practices
- Translate business problems into AI solutions
Perks/Benefits
Skills/Tech-stack
CI/CD | Data Drift | Data Drift Detection | Data Quality | Drift Detection | Feature Engineering | Feature attribution | GitHub Actions | MLOps | MLflow | Machine Learning | Machine Learning Model Evaluation | Model Deployment | Model Evaluation | Model Explainability | Model Governance | Model Monitoring | Model retraining | PySpark | Python | SHAP | SQL | Spark | Version control
Education
N/A
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