Senior Machine Learning Engineer
Tasks
- Build and maintain ML pipelines for training and deployment
- Collaborate with data scientists and engineers to build ML systems
- Define and execute ML strategy aligned to business objectives
- Design scalable ML architectures and infrastructure for deployment and management
- Explore and implement latest ML tools frameworks and platforms
- Identify and resolve ML system challenges and implement improvements
- Mentor engineers and facilitate collaborative problem solving
- Monitor and evaluate ML models and performance
- Provide technical expertise and lead functional delivery
Perks/Benefits
- Career Development Programs
- Learning and development programs
- Mentoring and coaching
- Remote work flexibility
Skills/Tech-stack
AWS | Azure | CI/CD | Databricks | Distributed Systems | Google Cloud | Infrastructure as Code | Kubeflow | MLOps | MLflow | Machine Learning | Model Evaluation | Model Monitoring | PyTorch | Python | Scikit-learn | Shell | TensorFlow | “as-code”
Education
N/A
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