Azure DevOps Engineer
4 weeks ago
We are seeking a highly skilled Azure DevOps Engineer to join our team at Behaviorally, Inc. The ideal candidate will have a strong background in DevOps and machine learning, with experience in implementing best-in-class practices in a fast-paced technology environment.
Key Responsibilities:
Collaborate with product teams to design scalable and efficient solutions, ensuring alignment with architectural best practices and business requirements.
Assist in the development and optimization of machine learning algorithms and models, providing guidance on best practices and methodologies.
Support the design and implementation of data pipelines for data ingestion, processing, and feature engineering, ensuring data quality and integrity.
Requirements:
5+ years of hands-on experience in DevOps in Microsoft Azure Cloud with a focus on MLOps:
Networking:
Azure Load balancer, Azure application gateway
Compute:
Azure Functions
Monitoring:
Azure Monitor
Container orchestration:
Kubernetes
IaaC:
ARM templates
ML Ops:
Azure ML, ML Flow
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
Proven experience in developing and deploying machine learning models, with a focus on computer vision applications.
Proficient knowledge of SQL with any RDBMS and PowerBI.
Experience working and communicating cross functionally in a team environment.
Live within commuting distance to one of Behaviorally's offices
Preferred Qualifications:
Certifications in AI/ML technologies and Azure, such as Azure AI Engineer, Azure Data Scientist, or Azure Solutions Architect
What We Offer:
Collaborative and dynamic work environment
Opportunities for professional growth and development
Competitive salary and benefits package
How to Apply:
If you are a motivated and experienced DevOps and machine learning professional looking for a new challenge, please submit your resume and cover letter for consideration.
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