Machine Learning Engineer
2 days ago
As a MLOps Specialist, you will work collaboratively with Data Scientists and Data Engineers to deploy and operate advanced analytics machine learning models. You will help automate and streamline Model development and operations.
Key Responsibilities:
- Automate and streamline model development and deployment
- Build scalable ML pipelines for production environments
- Develop MLOps components in the Machine Learning development life cycle using Model Repository (either of): MLFlow, Kubeflow Model Registry
- Work across all phases of model development life cycle to build MLOPS components
Required Qualifications:
- 3-12 years experience building production-quality software
- Strong experience in System Integration, Application Development or DataWarehouse projects across technologies used in the enterprise space
- Basic Knowledge of MLOps, machine learning and docker
- Object-oriented languages (e.g. Python, PySpark, Java, C#, C++ )
- Experience developing CI/CD components for production ready ML pipeline.
- Database programming using any flavors of SQL
- Knowledge of Git for Source code management
- Foundational Knowledge of Cloud Computing either one AWS, Azure or GCP
Education:
- B.E/B.Tech/M.Tech in Computer Science or related technical degree OR Equivalent.
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