MLOps Intern – Remote Internship

Company: InternshipTech
Location: Remote
Duration: 3-6 months
Stipend: Unpaid

About the Role

Are you interested in bridging the gap between machine learning and DevOps? We are looking for an MLOps Intern to assist in deploying, monitoring, and maintaining machine learning models in production. This internship provides hands-on experience with MLOps pipelines, model deployment, and cloud-based AI infrastructure.

Key Responsibilities

• Develop and automate ML model deployment pipelines
• Work with CI/CD pipelines for machine learning workflows
• Optimize model performance and automate retraining processes
• Deploy models using Docker, Kubernetes, and cloud platforms (AWS, GCP, Azure)
• Implement monitoring, logging, and version control for ML models
• Work with tools like MLflow, Kubeflow, Airflow, and TensorFlow Serving
• Collaborate with data scientists to improve model scalability and efficiency

Requirements

• Currently pursuing or recently completed a degree in Computer Science, Data Science, AI, or a related field
• Strong programming skills in Python and Bash scripting
• Familiarity with machine learning frameworks (TensorFlow, PyTorch, Scikit-learn)
• Basic knowledge of cloud platforms (AWS, GCP, or Azure)
• Understanding of containerization (Docker, Kubernetes)
• Strong problem-solving and debugging skills

Preferred Skills (Not Required but a Plus)

• Experience with MLflow, Kubeflow, Airflow, or FastAPI
• Hands-on experience with Git, Jenkins, or other CI/CD tools
• Knowledge of feature stores and model monitoring techniques
• Familiarity with big data processing (Spark, Hadoop, DataBricks)
• Previous internship or project experience in MLOps or cloud-based AI

What You Will Gain

• Hands-on experience in MLOps and AI model deployment
• Exposure to cloud-based AI infrastructure and automation
• Internship certificate upon successful completion
• Mentorship from industry experts in MLOps and AI
• Potential opportunity for a full-time role based on performance

How to Apply

Send your updated resume and a brief cover letter to resume@internshiptech.com with the subject “MLOps Intern Application – [Your Name]”.

Kickstart your career in MLOps and AI infrastructure by gaining hands-on experience with real-world machine learning deployments.