Senior Machine Learning Engineer
3 weeks ago
We are seeking a highly skilled Senior Machine Learning Engineer to join our team at PowerSchool. As a key member of our engineering organization, you will be responsible for designing and implementing machine learning models and data ingestion pipelines. You will work closely with our data scientists to rapidly develop, train, and experiment with machine learning models.
About the Role:
In this role, you will expand and optimize data pipelines, data flow, and collection for cross-functional teams. You will create and maintain optimal data pipeline architecture by assembling large, complex data sets to meet functional and non-functional business requirements. Additionally, you will identify and implement internal process improvements, including automating manual processes, optimizing data delivery, and redesigning infrastructure for greater scalability.
Responsibilities:
- Design and implement machine learning models and data ingestion pipelines
- Develop and support a platform that enables data scientists to rapidly develop, train, and experiment with machine learning models
- Expand and optimize data pipelines, data flow, and collection for cross-functional teams
- Create and maintain optimal data pipeline architecture
- Implement Model Monitoring, Data Quality Checks, Data Drifts in Inference Pipelines
- Deploy ML models in AWS environment specifically in AWS SageMaker environment
Requirements:
To be successful in this role, you must have at least 5+ years of experience within the full software development lifecycle from planning through deployment and maintenance. You should also have demonstrated ability to design, implement, and scale machine learning workflows (ML Ops). Proficiency with version control systems and automated software testing and delivery is required. Additionally, you should have experience working with ML engineers to build tooling and automation to support the entire ML engineering lifecycle.
Salary: $150,000 per year
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