Senior Cloud Engineer
4 weeks ago
We are seeking a highly skilled Senior Software Engineer to join our MLOps team at WHOOP, focusing on the development and optimization of ML cloud infrastructure.
This role will play a critical part in supporting our Data Science and AI teams by building robust, scalable systems for the productionalization of machine learning models.
The successful candidate will be responsible for designing, developing, and maintaining cloud-based infrastructure to support the deployment and scaling of machine learning models.
Key responsibilities include:
- Designing and implementing automated pipelines for continuous integration and continuous deployment (CI/CD) of ML models.
- Collaborating closely with Data Scientists and AI teams to understand model requirements and facilitate the transition from prototype to production.
- Developing APIs, microservices, and other components necessary to integrate ML models into existing systems.
- Leveraging cloud services to optimize the deployment and performance of machine learning models and associated infrastructure.
- Monitoring and optimizing the performance of ML models in production.
Requirements include:
- 5+ years of experience in software engineering, with a significant focus on building and maintaining ML infrastructure in cloud environments.
- Deep expertise in AWS services, including but not limited to SageMaker, Lambda, ECS, S3, and IAM.
- Strong programming skills in languages such as Python or Java.
- Proven experience in productionalizing ML models, including building APIs and services that enable real-time inference.
WHOOP is an Equal Opportunity Employer and participates in E-verify to determine employment eligibility.
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