Machine Learning Operations Intern - Remote

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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.

Responsibilities:

• 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 to ensure seamless integration of ML models.
• 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.