MLOps Engineer

Job Description

Strong hands-on and extensive experience in building Enterprise scale MLOps platform.

Experience in designing and implementing cloud solutions, build MLOps on cloud (AWS, Azure, or Google Cloud Platform)

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

Experienced in Data science models testing, validation and tests automation.

Communicate with a team of data scientists, data engineers and architect, document the processes.

Proficient with Programming languages like Python, Go, Ruby or Bash.

Good understanding of Linux, knowledge of frameworks such as scikit-learn, Keras, PyTorch, Tensorflow, etc.

Professional MLOps certifications Mandatory