ML Ops Engineer

3 weeks ago


Bengaluru, India CN Solutions Full time
Role: ML Ops EngineerExperience: 6-9 YrsLocation: 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 toolsData science model review, run the code refactoring and optimization, containerization, deployment, versioning, and monitoring of its qualityData science models testing, validation and tests automationCommunicate 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, OpenShiftProgramming 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 automationFluent in English, good communication skills and ability to work in a team

Desired Qualifications:Bachelors degree in Computer Science or Software EngineeringExperience in using GCP services.Good to have any associate GCP Cloud Certification


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