Machine Learning Engineer

Shipt - Remote, OR

Full-time - Entry Level

Remote - Remote, OR

Couriers and Messengers

About the position

Shipt, Inc. is seeking a full-time Machine Learning Engineer who will collaborate with product managers, data scientists, and other machine learning engineers to translate requirements into effective software designs. This role involves developing and deploying machine learning models, as well as creating and maintaining CI/CD pipelines for automated deployment.

Responsibilities

• Collaborate with product managers and data scientists to understand requirements and translate them into software designs.
• Develop and maintain CI/CD pipelines for automated deployment.
• Construct O365 node-red workflows using NodeJS, JavaScript, HTML, CSS, and Python.
• Develop and trigger Shell/Python scripts using cron jobs and Jenkins for various database operations and health monitoring.
• Deploy machine learning models to production and work with Kafka and Airflow.
• Document Proof of Concept of engineered software, CI/CD pipeline, and database design under Agile SDLC.
• Work with REST and HTTP architecture, and perform unit, integration, and acceptance testing.

Requirements

• Bachelor's degree or equivalent in Computer Science and Engineering, Computer Science, or Computer Engineering.
• 1 year of experience developing CI/CD pipelines for automated deployment.
• 12 months of experience constructing O365 node-red workflows using NodeJS, JavaScript, HTML, CSS, and Python.
• 12 months of experience developing and triggering Shell/Python scripts using cron jobs and Jenkins.
• 12 months of experience developing and deploying machine learning models to production.
• 12 months of experience working with Kafka and Airflow.
• Experience documenting Proof of Concept of engineered software, CI/CD pipeline, and database design under Agile SDLC.
• Experience working with REST and HTTP architecture, as well as unit, integration, and acceptance testing.

Benefits

• Telecommuting available from anywhere in the US.