Data Pipeline Architect
6 hours ago
As a Senior ML Ops Engineer at Recro, you will have the opportunity to design and implement data pipelines that support our clients' enterprise machine learning systems at scale. In this role, you will be responsible for taking offline models built by data scientists and turning them into real machine learning production systems.
About the JobWe are looking for a skilled engineer with experience in designing and deploying scalable tools and services for machine learning training and inference. You should have a strong background in software engineering rigor and best practices, including CI/CD, automation, and version control.
Key Responsibilities- Design and implement data pipelines to support our clients' enterprise machine learning systems at scale
- Take offline models built by data scientists and turn them into real machine learning production systems
- Develop and deploy scalable tools and services for machine learning training and inference
- Identify and evaluate new technologies to improve performance, maintainability, and reliability of our clients' machine learning systems
To be successful in this role, you will need:
- 6+ years of experience in Machine Learning Operations
- University Degree in Computer Science, Information Technology, or related field
- Strong Python programming knowledge
- Familiarity with popular MLOps frameworks like Kubeflow, MLFlow, and DataRobot
- Experience in using Docker and Kubernetes
- Ability to build MLOps pipelines
- Knowledge of cloud solutions, specifically Azure
We offer a competitive salary of $160,000 per year, plus benefits such as health insurance, retirement plan, and paid time off. We also provide opportunities for professional growth and development, as well as a collaborative and dynamic work environment.
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