Snowflake→
AI Devops Engineer Intern, Enterprise… at Snowflake · Bellevue
InternshipOn-siteFull-timeBellevue, WA$64k–$73k/yr
Skills
pythonai/ml frameworkstensorflowpytorchscikit-learncloud platformsawsazuregcpmachine learning model deploymentversion controlgitdata analyticsdata cleaningdata preprocessingfeature engineering
Job Description
Summary: Snowflake is about empowering enterprises to achieve their full potential through innovation and collaboration. They are seeking a proactive and skilled AI Devops Engineer Intern to join their Enterprise Support Operations team, where the intern will leverage AI and machine learning to optimize support processes and enhance data analytics capabilities.
Responsibilities:
- Develop and Deploy AI Solutions: Design, build, and implement AI/ML models and applications to automate routine support tasks and resolve common service requests and incidents
- Enhance Data Analytics: Collaborate with support leadership and data analysts to improve existing data pipelines and build new analytical models that provide actionable insights into support metrics (e.g., ticket resolution times, root causes, and customer sentiment)
- Build Smart Automations: Create intelligent workflows that automatically categorize, route, and respond to support tickets, reducing the need for manual intervention
- AI Assistant Development: Develop and maintain AI-powered assistants or chatbots to provide immediate, accurate answers to common customer queries, freeing up human agents
- Data Management: Work with large, unstructured datasets from service requests and incidents, including data cleaning, preprocessing, and feature engineering to prepare data for model training
- Performance Monitoring: Monitor the performance of deployed models and automations, making continuous improvements based on performance data and feedback from the support team
- Team Collaboration: Partner with support engineers and managers to identify automation opportunities and ensure AI solutions are seamlessly integrated into existing workflows
Required Qualifications:
- Must be actively enrolled in an accredited college/university program during the time of the internship
- Education: Working on a Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, or a related field
- Technical Skills: Proficiency in programming languages, with a strong emphasis on Python
- Hands-on experience with AI/ML frameworks such as TensorFlow, PyTorch, or scikit-learn
- Familiarity with cloud platforms (AWS, Azure, or GCP) and deploying machine learning models
- Experience with version control systems, particularly Git
- Problem-Solving & Communication: Strong analytical and problem-solving skills with a creative approach to complex challenges
- Excellent communication skills to translate technical concepts to non-technical stakeholders, including support leadership and team members
- A proactive mindset and a desire to learn and adapt in a fast-paced environment
Required Skills: Python, AI/ML frameworks, TensorFlow, PyTorch, scikit-learn, Cloud platforms, AWS, Azure, GCP, Machine learning model deployment, Version control, Git, Data analytics, Data cleaning, Data preprocessing, Feature engineering
Internship Start Date: Start in 2026 Summer
Benefits: Medical, Dental, Vision, Life, Disability insurance, Flexible spending & health savings account, Employee assistance program, Other company benefits
Benefits
Medical
Dental
Vision
Life
Disability insurance
Flexible spending & health savings account
Employee assistance program
Other company benefits