Data Science / ML Engineer
Tasks
- Build event-driven data pipelines
- Build scalable machine learning solutions on data platforms
- Design machine learning solutions
- Develop and optimize ML Ops pipelines
- Perform data collection preprocessing and transformation
- Set up model continuous integration deployment and monitoring
- Train evaluate and implement deep learning models
Perks/Benefits
- Certification programs
- Collaborative work environment
- Competitive benefits
- Continuous learning opportunities
- Flexible working hours
- Training support
Skills/Tech-stack
AWS SageMaker | Azure Databricks | Cloud | Data Modeling | Data Preprocessing | Databricks | Deep learning | Kafka | Kubeflow | MLflow | Microsoft Fabric | PubSub | PyTorch | Python | TensorFlow
Education
N/A
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