Senior Software Engineer (MLOps)
Apple
SummaryPosted: Jan 21, 2025Weekly Hours: 40 Role Number:200587538We are looking for a Senior Software Engineer (MLOps) to help us ensure that machine learning models are not only successfully deployed but also maintained and monitored for optimal performance. You will lead all the processes to design, build and manage reproducible, testable, and evolvable ML-powered software.DescriptionDescriptionThis role requires a blend of skills in software engineering, machine learning, and operations to ensure the smooth functioning of ML systems in production environments. In this role you will: - Lead the team to design and implement automation for model training, testing, validation, and deployment - Collaborate with machine learning engineers to ensure efficient deployment and scaling of ML models - Implement monitoring and alerting systems to track model performance, system health, and data drift - Optimize compute resources for cost and performance efficiency - Manage model versions to ensure traceability and reproducibilityMinimum QualificationsMinimum Qualifications6+ years of experience in the design and implement of Large-scale ML Systems or Distributed SystemsExperience with model pipeline and registry tools, detecting and preventing model drift, automating model monitoring, and ensuring model accuracyProficiency in programming languages such as Python, Java or GolangEffective communication skills in written and spoken EnglishBachelor or above in Software Engineering, Computer Science, Machine Learning, or a related fieldKey QualificationsKey QualificationsPreferred QualificationsPreferred QualificationsExperience in machine learning frameworks such as TensorFlow, PyTorch, AutoGluon, XGBoost or Scikit-learnExperienced in DevOps Tools such as Docker, Jenkins, Ansible, Grafana, Prometheus, Elastic, or KubernetesFamiliar with CI/CD deployment practicesExperience with SQL and database systems such as PostgreSQLExperience with building ETL pipeline in data warehouse such as SnowflakeExperience with inference optimizationEducation & ExperienceEducation & ExperienceAdditional RequirementsAdditional RequirementsMore
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