Job Title – ML Ops Engineer

Location- Irving, TX

Job Type- Full Time

Key responsibilities:

·& implement cloud solutions, build MLOps on cloud.

·CI/CD pipelines orchestration.

·science model review, run the code refactoring and optimization, containerization, deployment, versioning, and monitoring of its quality.

·science models testing, validation and tests automation.

·with data scientists, data engineers and architect, document the process.

Required Qualifications:

·To design and implement cloud solutions and ability to build MLOps pipelines on cloud solutions.

·with a few MLOps Frameworks like and experience with Docker, Kubernetes or OpenShift.

·languages like Python (preferred), Go, Ruby or Bash, good understanding of Linux, knowledge of frameworks such as scikit-learn, Keras, PyTorch, Tensorflow, etc.

of tools used by data scientists and experience with software development and test automation.