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Software Engineer, ML Ops
A company is looking for a Software Engineer, ML Ops. Key Responsibilities Design, build, and maintain scalable data pipelines for large-scale datasets Develop tools and frameworks for data labeling, annotation, and curation Implement and optimize CI/CD pipelines for machine learning models Required Qualifications Bachelor's or Master's degree in Computer Science, Engineering, or a related field 2+ years of experience in software engineering, focusing on ML Ops or data engineering Proficiency in programming languages such as Python Familiarity with data storage solutions and database systems Experience with containerization and orchestration for deploying ML systems
A company is looking for a Software Engineer, ML Ops.
Key Responsibilities
Design, build, and maintain scalable data pipelines for large-scale datasets
Develop tools and frameworks for data labeling, annotation, and curation
Implement and optimize CI/CD pipelines for machine learning models
Required Qualifications
Bachelor's or Master's degree in Computer Science, Engineering, or a related field
2+ years of experience in software engineering, focusing on ML Ops or data engineering
Proficiency in programming languages such as Python
Familiarity with data storage solutions and database systems
Experience with containerization and orchestration for deploying ML systems