AI Enablement Intern

Pay Rate/Hourly Range: The hourly range is $20.00 - $43.00 per hour. Pay is based on factors including school year, program of study, role responsibilities, etc.

About the role

As a member of AI Enablement team in CCC, you will be exploring many different technologies from network and infrastructure to the AI/machine learning algorithms that run on them. CCC owns many applications and services that we at AIE team are doing our best every day to create tools and services to improve the performance, accuracy, and efficiency of our Data Scientists and Machine Learning engineers. Our goal is to understand and utilize the state-of-the-art tools in the field of MLOps and DevOps. If you have an ambition to excel at this field, learn more and contribute more every day, we are eager to have you in our team.

Responsibilities

• Be involved in the full lifecycle of microservice development from design through testing and release.
• Design Dashboards and User Interfaces for our latest tools and models.
• Contribute into the research and introduction of new MLOps/DevOps tools and technologies.
• Implement automations for deployment and monitoring of CCC applications.
• Collaborate with ML engineers and Data Scientists to facilitate their model development pipelines.
• Work with the Database, Middleware, Network and Server teams for applications deployment.
• Apply data science, machine learning & optimization techniques to real-world problems.
• Manage individual project priorities, deadlines, and deliverables.

Requirements

• Experience with software development in one or more general purpose scripting and programming languages (included but not limited to Python, Go, Java and JavaScript).
• Understanding Linux systems and bash scripts.
• Working knowledge of version control systems like Git.
• Understanding the concepts and processes surrounding Software Development Lifecycle.
• Interest in learning other coding languages per team requirements.
• Experience in Kubernetes, Terraform, Pulumi, Ansible or other configuration management solutions is preferred.