Senior Machine Learning Engineer
Tasks
- Address ML system challenges and improve performance
- Align ML strategy with business goals
- Collaborate with data scientists and engineers
- Deploy and monitor ML models
- Design scalable ML architectures
- Develop and maintain ML pipelines
- Explore and adopt new ML tools and frameworks
- Implement MLOps practices and CI/CD
- Mentor team members
Perks/Benefits
Skills/Tech-stack
AWS | Automation | Azure | CI/CD | Cloud services | Data Science | Databricks | Distributed Systems | GCP | Infrastructure as Code | Kubeflow | ML Lifecycle | ML concepts | ML models | MLOps | MLflow | Monitoring | Problem Solving | PyTorch | Python | Resilience | Scikit-learn | Shell | Stakeholder management | Team Collaboration | Technical mentoring | TensorFlow | “as-code”
Education
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