Machine Learning Operations Intern
December 2
🇺🇸 United States – Remote
👨🎓 Internship
⚪️ Entry-level
🤖 Machine Learning Engineer
🦅 H1B Visa Sponsor
Description
• Assist in the deployment and maintenance of machine learning models in production environments. • Monitor model performance and implement strategies for continuous improvement. • Collaborate with data scientists, software engineers, and IT professionals. • Develop and maintain documentation for ML Ops processes and workflows. • Support the automation of model training, testing, and deployment pipelines. • Troubleshoot and resolve issues related to model deployment and performance. • Participate in code reviews and contribute to the development of best practices for ML Ops.
Requirements
• Currently pursuing a degree in Computer Science, Data Science, Engineering, or a related field. • GPA of 3.2 or higher. • Basic understanding of machine learning concepts and algorithms. • Familiarity with programming languages such as Python or R. • Experience with cloud platforms (e.g., AWS, Azure, GCP) is a plus. • Knowledge of containerization technologies (e.g., Docker, Kubernetes) is desirable. • Strong analytical and problem-solving skills. • Excellent communication and teamwork abilities. • Eagerness to learn and adapt in a fast-paced environment.
Benefits
• Hands-on experience with MLOps technologies. • Mentorship from industry leaders. • Opportunities for professional development. • Diverse and inclusive community.
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