Trainer for Machine Learning Operations
7 months ago
**Key responsibilities**:
- Design and implement cloud solutions, build MLOps on cloud (AWS, Azure, or GCP)
- Build CI/CD pipelines orchestration by GitLab CI, GitHub Actions, Circle CI, Airflow or similar tools
- Data science model review, run the code refactoring and optimization, containerization, deployment, versioning, and monitoring of its quality
- Data science models testing, validation and tests automation
- Communicate with a team of data scientists, data engineers and architect, document the processes
**Required Qualifications**:
- Ability to design and implement cloud solutions and ability to build MLOps pipelines on cloud solutions (AWS, MS Azure or GCP)
- Experience with MLOps Frameworks like Kubeflow, MLFlow, DataRobot, Airflow etc., experience with Docker and Kubernetes, OpenShift
- Programming languages like Python, Go, Ruby or Bash, good understanding of Linux, knowledge of frameworks such as scikit-learn, Keras, PyTorch, Tensorflow, etc.
- Ability to understand tools used by data scientist and experience with software development and test automation
- Fluent in English, good communication skills and ability to work in a team
Pay: ₹15,000.00 - ₹18,000.00 per day
Schedule:
- Day shift
Supplemental pay types:
- Yearly bonus
Application Question(s):
- Internet availability
Shift availability:
- Day Shift (preferred)
- Night Shift (preferred)
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