Senior MLOPs Engineer ( remote )
Job Description
This position is full-time remote. Preference will be given to candidates willing to work during EST or GMT timezone business hours.
Responsibilities
- Productionising machine learning models
- Helping us develop and maintain infrastructure to support ML model development, training and inference
- Automate our data flows and reporting pipelines
- Improve our data lifecycles: create automated diagnostic reports for data quality, data drift, cycle times
- Assisting the machine learning scientists with their workflows
- Helping us build, test, and release software with greater speed and frequency
- Tracking datasets and model artefact lineage and ensuring reproducibility
Requirements
Required Skills
- Experienced Linux user
- Excellent Python programming skills
- Excellent code testing and C/I skills
- Experience testing ML systems against baselines
- Experience orchestrating tasks using frameworks such as AirFlow
- Experience deploying cloud services (bonus for AWS experience)
- Experience scaling workloads using distributed computing frameworks (especially PySpark, Ray Distributed)
Preferred Skills
- Experience with our stack: Ray Distributed, MetaFlow, Hypothesis
- Machine learning background, especially with PyTorch
- Containerization using Docker, Kubernetes
Date Posted
08/11/2022
Views
5
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