Senior Machine Learning Engineer
Bangalore, India
R
INR 3584K-4580K (estimate) Senior-level Full Time
Tasks
- Align ML strategy with business objectives
- Build ML pipelines
- Collaborate with data scientists to build ML systems
- Deploy and monitor ML models
- Design machine learning architecture
- Develop machine learning infrastructure for deployment
- Ensure high availability, performance, and security
- Evaluate model performance
- Explore and implement new ML tools and frameworks
- Identify ML system challenges and implement improvements
- Implement MLOps principles with CI CD
- Mentor engineers and facilitate technical discussions
- Train machine learning models
Perks/Benefits
- Hybrid work model
- Learning and development programs
- Mentoring and coaching culture
- Remote work opportunity
Skills/Tech-stack
AWS | Azure | CI/CD | Cloud platform | Databricks | Distributed Systems | Google Cloud | Google Cloud Platform | Infrastructure as Code | Kubeflow | MLOps | MLflow | PyTorch | Python | Scalable Architecture | Scikit-learn | Shell | TensorFlow | “as-code”
Education
N/A
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