Advanced Engineer - AI/ML with Devops(GCP,AWS)
Bangalore - Karnataka, India - Kalyani Platina
INR 2500K-4200K (estimate) Senior-level Full Time
Tasks
- Apply MLOps best practices model versioning and reproducibility
- Build end-to-end ML pipelines
- Deploy monitor and optimize ML workloads in AWS
- Design and develop AI/ML models
- Develop Python automation for workflows
- Integrate ML pipelines into CI CD pipelines
- Maintain build environment with CMake and Bazel
- Perform code reviews and documentation
- Train validate deploy and monitor models
- Troubleshoot build, deployment, and performance issues
Perks/Benefits
- Access to cutting-edge technologies
- Collaborative work environment
- Professional development
- Training opportunities
Skills/Tech-stack
AWS | Airflow | Amazon Web Services | Apache Spark | Artificial Intelligence | Bazel | CD | CI | CI/CD | CMake | Cloud platform | Data Preprocessing | Docker | Git | GitHub | GitLab | Google Cloud | Google Cloud Platform | Kubeflow | Kubernetes | MLflow | Machine Learning | Microservices | Model Logging | Model Monitoring | NumPy | Pandas | Python | REST APIs | SageMaker | Version control | Web Services
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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