Machine Learning Ops Engineer (Hybrid/Remote)
9 days ago
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The PlayStation brand falls under Sony Interactive Entertainment, a wholly-owned subsidiary of Sony Corporation.
GPFD Engineering runs a next generation risk platform and machine learning framework that enables GPFD’s data science team to evaluate and then make real-time decisions on user activity data for potential fraud and revenue optimization.
This position is a hands-on engineering role with a wide range of responsibilities to evolve and support a machine learning pipeline. The ideal candidate has a mix of machine learning/software engineering skills (building SaaS/backend services, data/model pipelines) and DevOps skills (automation, AWS/Kubernetes administration). You must be a self-motivated individual and take pride in delivering high-quality work within a fast-paced, dynamic environment.
- Create, deploy, and maintain cloud solutions using AWS
- Build and enhance our machine learning pipeline and related tools to support development, experimentation, continuous integration, continuous delivery, verification/validation, and monitoring of ML models
- Ensure all work is deployed in an automated, repeatable fashion (Terraform/Harness/Jenkins)
- Ensure highest levels of service availability
- Help with AWS/Kubernetes administration
- Be part of a time zone based on-call rotation (no nights)
What we’re looking for:
- 3-5 years’ experience working in a similar ML related position
- Hands-on experience with the orchestration and management of containers using Kubernetes
- Experience with Java and/or Python
- Competency with most common AWS Services – EKS, Kinesis, Lambda, DynamoDB, SNS, SQS, etc.
- Knowledge in systems monitoring, alerting and analytics including using tools such as DataDog, Splunk, New Relic, AWS CloudTrail, etc.
- General knowledge in Linux
- AWS Certification
- Basic Knowledge of Data Science/Machine Learning pipelines
- Experience with Jenkins/Harness/Terraform
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