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 integrit
- Build and Maintain CI / CD Pipelines : Design, implement, and manage robust Continuous Integration and Continuous Deployment (CI / CD) pipelines for machine learning models and applications.
Collaborate with cross-functional teams to establish and enhance CI / CD best practices.
- Utilize your expertise in Azure to architect and deploy machine learning solutions within the Azure ecosystem. Manage and optimize Azure-based infrastructure, ensuring security, scalability, reliability, and performance.
- Implement and manage deployment strategies for machine learning models in development and production environments. Collaborate with data scientists and engineers to streamline the deployment process and monitor model performance.
Minimum Qualifications :
- 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
- 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
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