Machine Learning Ops Intern
Machine Learning Ops Intern
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Job Description
About MasterControl:
MasterControl Inc. is a leading provider of cloud-based quality and compliance software for life sciences and other regulated industries. Our mission is the same as that of our customers to bring life-changing products to more people sooner. The MasterControl Platform helps organizations digitize automate and connect quality and compliance processes across the regulated product development life cycle. Over 1000 companies worldwide rely on MasterControl solutions to achieve new levels of operational excellence across product development clinical trials regulatory affairs quality management supply chain manufacturing and postmarket surveillance. For more information visit .
Summary
We are looking for a talented Machine Learning Ops Intern to join MLOps team and
contribute to various projects focused on applying machine learning to solve real-world problems. This internship offers hands-on experience in developing testing and deploying machine learning models as well as exposure to best practices in the industry
Key Responsibilities:
Assist in setting up CI/CD pipelines for ML workflows using GitHub Actions Argo Workflows or similar tools
Work with the team to containerize and deploy ML models and notebooks to Kubernetes-based environments
Help monitor and debug running ML workloads using tools like Prometheus Grafana or OpenTelemetry
Contribute to infrastructure-as-code (IaC) setups with Terraform Helm and Kustomize
Collaborate with ML engineers and data scientists to improve training and inference pipelines
Support GPU-enabled model training and inference jobs in cloud (e.g. AWS EKS)
Document deployment workflows system architecture and experiment tracking processes
Qualifications:
Currently pursuing a degree in Computer Science Data Engineering AI/ML or a related technical field
Strong Python skills with interest in infrastructure automation or ML deployment
Exposure to machine learning libraries (e.g. PyTorch TensorFlow Hugging Face)
Familiar with Linux command line Git Docker and cloud platforms (AWS preferred)
Bonus: any experience with Kubernetes CI/CD tools or GPU workloads
Strong desire to learn modern MLOps tools and practices
Clear communicator self-driven and collaborative team player
Why Join Us:
Work on real infrastructure problems powering production-grade AI systems
Get mentorship from senior MLOps engineers ML Engineers and platform architects
Learn how to bridge ML and DevOps in a fast-paced high-impact environment
Opportunity to convert to full-time based on performance and graduation timeline
This position is specifically designed for Northeastern University students as part of the universitys cooperative education (Co-op) program. Candidates must be enrolled at Northeastern University and eligible to participate in the official Co-op program for the designated term.
Why Work Here
#WhyWorkAnywhereElse
MasterControl is a place where Exceptional Teams come together to do their best fact hiring Exceptional Teams is a core value of ours. MasterControl employees are surrounded by intelligent motivated and collaborative individuals. We like to call it #TheBestTeamOnThePlanet.
We work hard to develop and challenge our employees skillsets recognize their contributions encourage professional development and offer a one-of-a-kind culture. This is why we say #WhyWorkAnywhereElse
MasterControl could be your next (and last) career move!
Here are some of the benefits MasterControl employees enjoy:
- Competitive compensation
- Schedule flexibility
- Fitness clubs (you get paid to have fun and be active!)
- Company parties and employee recognition programs
- Wellness programs (free Fitbit gym membership and athletic shoe reimbursements etc.)
- Onsite physician and massage therapist
- Innovation center and gaming rooms at the office
- Much much more!
Applicants must be currently authorized to work in the United States on a full-time basis.
The US base hourly range for this position is $30.00 - $50.00. Our salary ranges are determined by role level education and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range individual pay is determined by work location and additional factors including job-related skills experience and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
MasterControl is an Equal Opportunity Employer. If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process or are limited in the ability or unable to access or use this online application process and need an alternative method for applying you may contact or call and ask to speak with a member of Human Resources.
Equal Opportunity Employer including disability and protected veteran status
Required Experience:
Intern
Employment Type
Intern
