Data Science / ML Engineer
Tasks
- Build ML Ops pipelines
- Build scalable ML solutions on data platforms
- Collect preprocess and transform data
- Design machine learning solutions
- Develop deep learning models
- Implement continuous integration and deployment for ML
- Monitor machine-learning models in production
- Prepare data for modeling
- Train evaluate and implement models
Perks/Benefits
- N/A
Skills/Tech-stack
AWS SageMaker | Azure Databricks | Cloud Pub/Sub | Continuous Deployment | Continuous integration | Data Preprocessing | Data Transformation | DataModelling | Deep learning | Google Cloud | Google Cloud Pub/Sub | Kafka | Kubeflow | MLflow | Microsoft Fabric | Model Evaluation | Model Monitoring | Model Training | Pub/Sub | PyTorch | Python | TensorFlow
Education
N/A
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