Senior Machine Learning Engineer
Bangalore, India
R
INR 3584K-4580K (estimate) Senior-level Full Time
Tasks
- Build and maintain ML pipelines model training and deployment
- Collaborate with data scientists and engineers to build ML systems
- Define and execute ML strategy aligned with business objectives
- Design scalable ML architectures and infrastructure for deployment
- Explore and implement new ML tools frameworks and offerings
- Facilitate collaborative problem solving and mentor engineers
- Identify ML system challenges and implement improvements
- Monitor and evaluate ML models
- Provide technical expertise and drive functional delivery
Perks/Benefits
- Coaching and mentoring
- Employee development programs
- Learning and development programs
- Remote work flexibility
Skills/Tech-stack
Amazon Web Services | Azure | CI/CD | Cloud platform | Databricks | Distributed Systems | Docker | Google Cloud | Google Cloud Platform | High Availability | Infrastructure as Code | Kubeflow | Kubernetes | MLOps | MLflow | Machine Learning | Model Deployment | Model Monitoring | Model Training | Performance Engineering | PyTorch | Python | Scikit-learn | Security | Shell | TensorFlow | Web Services | “as-code”
Education
N/A
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