Senior Software Engineer (MLOps)
Apple
Senior Software Engineer (MLOps)
Job Description
We 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. This 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 reproducibility
Locations
- Shanghai, Shanghai, China 200335
Salary
Estimated Salary Rangemedium confidence
40,000,000 - 80,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- software engineeringintermediate
- machine learningintermediate
- operationsintermediate
- design and implement automationintermediate
- model trainingintermediate
- testingintermediate
- validationintermediate
- deploymentintermediate
- collaborate with machine learning engineersintermediate
- efficient deploymentintermediate
- scaling of ML modelsintermediate
- implement monitoring and alerting systemsintermediate
- track model performanceintermediate
- system healthintermediate
- data driftintermediate
- optimize compute resourcesintermediate
- cost efficiencyintermediate
- performance efficiencyintermediate
- manage model versionsintermediate
- traceabilityintermediate
- reproducibilityintermediate
Required Qualifications
- 6+ years of experience in the design and implement of Large-scale ML Systems or Distributed Systems (experience, 6 years)
- Experienced in DevOps Tools such as Docker, Jenkins, Ansible, Grafana, Prometheus, Elastic, or Kubernetes (experience)
- Familiar with CI/CD deployment practices (experience)
- Proficiency in programming languages such as Python, Java or Golang (experience)
- Effective communication skills in written and spoken English (experience)
- Bachelor or above in Software Engineering, Computer Science, Machine Learning, or a related field (degree in or above in software engineering)
Preferred Qualifications
- Experience in machine learning frameworks such as TensorFlow, PyTorch, AutoGluon, XGBoost or Scikit-learn (experience)
- Experience with model pipeline and registry tools, detecting and preventing model drift, automating model monitoring and ensuring model accuracy (experience)
- Experience with SQL and database systems such as PostgreSQL (experience)
- Experience with building ETL pipeline in data warehouse such as Snowflake (experience)
- Experience with inference optimization (experience)
Responsibilities
- This 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 reproducibility
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Senior Software Engineer (MLOps)
Apple
Senior Software Engineer (MLOps)
Job Description
We 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. This 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 reproducibility
Locations
- Shanghai, Shanghai, China 200335
Salary
Estimated Salary Rangemedium confidence
40,000,000 - 80,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- software engineeringintermediate
- machine learningintermediate
- operationsintermediate
- design and implement automationintermediate
- model trainingintermediate
- testingintermediate
- validationintermediate
- deploymentintermediate
- collaborate with machine learning engineersintermediate
- efficient deploymentintermediate
- scaling of ML modelsintermediate
- implement monitoring and alerting systemsintermediate
- track model performanceintermediate
- system healthintermediate
- data driftintermediate
- optimize compute resourcesintermediate
- cost efficiencyintermediate
- performance efficiencyintermediate
- manage model versionsintermediate
- traceabilityintermediate
- reproducibilityintermediate
Required Qualifications
- 6+ years of experience in the design and implement of Large-scale ML Systems or Distributed Systems (experience, 6 years)
- Experienced in DevOps Tools such as Docker, Jenkins, Ansible, Grafana, Prometheus, Elastic, or Kubernetes (experience)
- Familiar with CI/CD deployment practices (experience)
- Proficiency in programming languages such as Python, Java or Golang (experience)
- Effective communication skills in written and spoken English (experience)
- Bachelor or above in Software Engineering, Computer Science, Machine Learning, or a related field (degree in or above in software engineering)
Preferred Qualifications
- Experience in machine learning frameworks such as TensorFlow, PyTorch, AutoGluon, XGBoost or Scikit-learn (experience)
- Experience with model pipeline and registry tools, detecting and preventing model drift, automating model monitoring and ensuring model accuracy (experience)
- Experience with SQL and database systems such as PostgreSQL (experience)
- Experience with building ETL pipeline in data warehouse such as Snowflake (experience)
- Experience with inference optimization (experience)
Responsibilities
- This 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 reproducibility
Tags & Categories
Answer 10 quick questions to check your fit for Senior Software Engineer (MLOps) @ Apple.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs