Azure DevOps Engineer
3 days ago
About the Role:
We are seeking an experienced Cloud Engineering Lead to join our team at Behaviorally, Inc. as a DevOps Specialist in ML Ops. The successful candidate will be responsible for designing and implementing scalable and efficient solutions using Microsoft Azure Cloud.
Key Responsibilities:
- Collaborate with product teams to design and implement data pipelines for data ingestion, processing, and feature engineering
- Develop and optimize machine learning algorithms and models using best practices and methodologies
- Build and maintain CI/CD pipelines for machine learning models and applications
- Architect and deploy machine learning solutions within the Azure ecosystem
Requirements:
- 5+ years of hands-on experience in DevOps in Microsoft Azure Cloud with a focus on MLOPs
- Experience with implementing integration solutions with Microservices, RESTful Web Services, and Web APIs
- Solid knowledge of CI/CD pipelines and experience with tools like Jenkins, Git, and Docker
- Strong understanding of computer vision techniques, including CNN, object detection, and image segmentation
Salary: $150,000 - $200,000 per year (depending on experience)
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