ML Ops Engineer3
Applications
3
Applications
About the Job
Skills
Role: ML Ops Engineer
Experience: 6-9 Yrs
Location: Bangalore
• Key responsibilities:
Design and implement cloud solutions, build MLOps on cloud (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 architects, document the processes
Required Qualifications:
Ability to design and implement cloud solutions and ability to build MLOps pipelines on cloud solutions (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
Desired Qualifications:
Bachelor’s degree in Computer Science or Software Engineering
Experience in using GCP services.
Good to have any associate GCP Cloud Certification
About the company
Industry
IT Services and IT Consul...
Company Size
11-50 Employees
Headquarter
Hyderabad
Other open jobs from CN Solutions