Operations Analyst Internship
Join our operations team to analyze business processes, identify inefficiencies, and support operational improvements across different departments. Learn project management fundamentals and assist with process documentation.
Who We're Looking For
Gateway is looking for organized and detail-oriented students to join our operations team. If you enjoy analyzing processes, solving problems, and helping teams work more efficiently, this internship offers excellent exposure to business operations and project management fundamentals.
What You'll Do
As an MLOps & Infrastructure Intern, you will work on sophisticated deployment systems and model lifecycle management:
ML Pipeline Development
- • Build and maintain ML model deployment pipelines for enterprise clients
- • Implement automated retraining workflows and model versioning systems
- • Work with Kubernetes, Docker, and containerization for scalable ML deployments
Monitoring & Infrastructure
- • Develop monitoring systems to ensure model performance across production environments
- • Work with MLflow and cloud platforms to manage model lifecycle and metadata
- • Collaborate with data science teams to optimize model deployment and inference
What's Required
We're looking for candidates who:
Education & Background
- • Are studying Computer Science, DevOps, or related field
- • Understand containerization, CI/CD pipelines, and cloud infrastructure
- • Are comfortable with system administration and automated deployment
Technical Skills
- • Have experience with containerization, CI/CD pipelines, and cloud platforms (AWS/Azure)
- • Have knowledge of ML model lifecycle management and monitoring
- • Are detail-oriented with strong DevOps and infrastructure capabilities
Who We Are
Gateway is a leading data science and machine learning consulting company developing ML infrastructure and deployment tools for enterprise clients across multiple industries. Our goal is to make ML model deployment, monitoring, and lifecycle management more robust, scalable, and transparent through intelligent automation and cloud-native design.
We're at the forefront of transforming how enterprise organizations deploy and manage machine learning models, bringing modern DevOps practices to ML operations and infrastructure.
We're an Equal Opportunity Employer
Gateway values diversity and inclusion, and encourage individuals from all backgrounds to apply.