Machine Learning / Federated-Learning Engineer
Tasks
- Build federated learning workflows
- Collaborate with technical stakeholders
- Configure and optimize machine learning models
- Create machine learning pipelines
- Develop machine learning solutions
- Develop reusable ML tools and automation
- Document ML architectures and workflows
- Ensure model training within security constraints
- Evaluate model performance with metrics
- Implement model fine tuning workflows
- Integrate machine learning into applications
- Preprocess data and engineer features
- Support version control and CI/CD
- Troubleshoot model training and distributed learning issues
Perks/Benefits
Skills/Tech-stack
AWS | Azure | CI/CD | Cloud platform | Data Preprocessing | Distributed Computing | Feature Engineering | Federated Learning | Fine Tuning | Git | Google Cloud | Google Cloud Platform | Lifecycle Management | MLOps | Machine Learning | Model Evaluation | Model Fine-tuning | Model Lifecycle | Model Lifecycle Management | Model Training | PyTorch | Python | Scikit-learn | TensorFlow
Education
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