AI/ML Engineer
Tasks
- Build machine learning models
- Deploy machine learning models
- Design machine learning models
- Detect data drift
- Develop predictive AI solutions
- Engineer features from structured data
- Engineer features from time series data
- Evaluate model performance
- Implement MLOps practices
- Integrate ML solutions into enterprise applications
- Monitor data quality
- Monitor machine learning models
- Optimize model performance
Perks/Benefits
- N/A
Skills/Tech-stack
Apache Spark | Azure Databricks | Computer Vision | Deep learning | Docker | Feature Engineering | Git | Kubernetes | MLOps | MLflow | Machine Learning | Model Evaluation | PyTorch | Python | SQL | Scikit-learn | Series forecasting | TensorFlow | Time Series | Time Series Forecasting
Education
N/A
Roles
AI | AI/ML Engineer | Engineer | Learning Engineer | ML Engineer | Machine Learning Engineer
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