MLOps Engineer

Job Summary

Working remotely in a full-time capacity, the MLOps Engineer will design, implement, and maintain machine learning pipelines while collaborating with cross-functional teams to ensure efficient deployment and monitoring of machine learning models.

Key responsibilities

• Design and optimize machine learning pipelines for continuous integration and deployment
• Collaborate with data scientists and AI engineers to streamline deployment processes
• Monitor model performance and conduct regular maintenance and updates to deployed models

Required qualifications

• Bachelor's or Master's degree in Computer Science, Information Systems, Data Science, or a related field
• Minimum of 6 years of experience in data science, machine learning, or a related role
• At least 6 years of experience as a MLOps Engineer or in a similar position
• Proficiency in programming languages such as Python, R, or Java
• Working knowledge of cloud services like MS Azure, AWS, or Google Cloud