Position: MLOps Engineer
Company: Grid Dynamics
Category: DevOps
Experience required: 3y
English level: intermediate

The role of an ML Engineer is an intersection of Data Scientist, Data Engineer, and DevOps Engineer. You'll be working in a team of ML engineers that takes on a wide array of responsibilities that encompass building all the infrastructure necessary to take a trained ML Model , integrate and deploy, making it available to other applications. 

Opportunity to work on a project for American multinational pharmaceutical company ranked 69th on the 2021 Fortune 500. They develop and produce medicines, vaccines, biological therapies, and animal health products. The company is world-famous for the first smallpox vaccine for commercial use in the U.S. and other blockbuster drugs, including cancer immunotherapy, anti-diabetic medication, and vaccines against chickenpox.

**Requirements:**

Senior MLops with 3+ years of experience
Team leading abilities 
Proficient in Python.
Extensive hands on experience on CI/CD: Jenkins, Terraform.
Hands on experience on AWS: Step Function, Sagemaker, Glue, Lamda, Airflow
Hands on experience on Software testing and releasing.
Experience of architecture and git strategy development.
Good understanding of Machine Learning model development process.
Experience of People management/TL experience.
High discipline and good communication skills