MLOps Intern

📝 MLOps Intern (Unpaid)
⚠️ Applications will only be accepted through the following site:
👉 www.owlera.site
About Owlera
Owlera is an AI-powered career platform that helps students and fresh graduates gain practical experience through internship simulations inspired by real companies.
Participants work on realistic business challenges, receive AI-powered feedback, use modern professional tools, and build portfolio-ready projects that demonstrate their abilities to future employers.
We're looking for curious, analytical, and ambitious students to join our MLOps Internship and gain hands-on experience with the engineering behind real AI products — how machine-learning models are trained, deployed, monitored, and kept reliable in production.
About the Internship
As a MLOps Intern, you'll work on realistic challenges centered on machine-learning operations — taking models from a notebook to production, automating training and deployment pipelines, and keeping AI systems fast, reproducible, and reliable.
You'll learn how AI teams ship and operate models at scale — experiment tracking, CI/CD for ML, model registries, serving infrastructure, monitoring, and the automation that makes AI products dependable.
Responsibilities
* Set up experiment tracking and version control for datasets, models, and code.
* Build training pipelines that are reproducible and automated.
* Package models with Docker and deploy them as REST APIs.
* Implement model registries and versioning (which model is live, and why).
* Automate model validation and testing before deployment.
* Set up CI/CD pipelines for ML workflows.
* Monitor deployed models — latency, error rates, and prediction drift.
* Implement data validation checks to catch bad data before it breaks models.
* Build automated retraining triggers and pipelines.
* Work with feature stores and data pipelines for training and serving.
* Optimize inference performance — batching, caching, and hardware tradeoffs.
* Implement rollback strategies and safe deployment patterns (canary, blue-green).
* Create dashboards that surface model health and pipeline status.
* Write runbooks and documentation for production ML workflows.
* Collaborate with other interns on cross-functional AI projects.
* Translate real-world product requirements into reliable ML systems.
Requirements
* Current student or recent graduate in Computer Science, AI, Data Science, or a related field — or a strong self-taught coding portfolio.
* Strong interest in machine learning systems and how models run in production.
* Basic programming skills (Python is a plus).
* Familiarity with Git and command-line basics.
* Some exposure to machine learning concepts (training, evaluation, inference).
* Analytical and logical thinking with close attention to detail.
* Self-motivated and able to work independently on technical challenges.
* Comfortable experimenting, failing fast, and iterating.
* Familiarity with AI tools such as ChatGPT, Claude, Gemini, or similar platforms is a plus.
* Previous professional MLOps experience is not required.
What You'll Gain
* Hands-on experience shipping machine-learning models to production, not just theory.
* Practical experience with training pipelines, model deployment, and monitoring.
* Understanding of how AI products stay reliable at scale.
* Practical exposure to Docker, CI/CD, model serving, and experiment tracking.
* Portfolio-ready MLOps projects built on realistic use cases.
* Personalized AI feedback on your work.
* Professional certificate upon successful completion.
* Mentorship and weekly learning sessions.
* Opportunity to strengthen your portfolio, resume, and interview readiness.
Internship Details
Role: MLOps Intern
Location: Remote
Type: Internship (Unpaid)
Level: Entry Level
Duration: 6 Weeks
Commitment: Flexible (approximately 10–15 hours per week)
If you love the engineering side of AI and want to learn how real machine-learning systems are built, deployed, and kept running, we'd love to hear from you.
⚠️ Apply through:
👉 www.owlera.site

Work arrangement
Yes