Job title: MLOPs Engineer
Minimum years of experience: 5+ years of experience in software development, machine learning engineering or related field.
Detailed Job Description
Design and implement cloud solutions and ability to build MLOps pipelines on cloud solutions.
Receiving models from data scientists, creating and using benchmarks and metrics, and making ML systems available/accessible to the systems that use/need it.
Develop, deploy and maintain machine learning models, pipelines and workflows in production environment.
Work with DevOps team to deploy and manage infrastructure for machine learning services
Mandatory Technical Skills (must-have)
Bachelor's or Master's degree in computer science, engineering or related field.
5+ years of experience in software development, machine learning engineering or related field.
Programming languages like Shell, Python, SQL.
Python with Data analytics (Pandas, Numpy etc.)
Ability to understand tools used by data scientist (e.g. jupyter notebook, pandas, scipy) and experience with software development and test automation
Strong understanding of machine learning concepts and frameworks, including TensorFlow, PyTorch, Scikitlearn, etc.
Familiarity with one or more data-oriented workflow orchestration frameworks (KubeFlow, Airflow, mlflow, Argo, etc.)
Good English communication (verbal, written, email). Ability to explain complex ideas