
Azure ML Solutions Engineer
3 days ago
Job Title: Azure ML Solutions Engineer
Role Overview:
We are seeking a seasoned professional to provide technical expertise in designing, deploying and managing machine learning models on Azure.
Key Responsibilities:
- Analyze the current ML model deployment infrastructure and recommend improvements for scalability, security and efficiency.
- Collaborate with cross-functional teams to integrate ML components into the overall platform.
- Design and implement CI/CD pipelines for automated testing, deployment and monitoring of ML models.
- Develop documentation and best practices for ongoing maintenance, updates and scalability.
Required Qualifications:
- Proven experience in MLOps and cloud-based ML model deployment on Azure.
- Strong knowledge of ML model serving frameworks (TensorFlow Serving, TorchServe, MLflow) and containerization (Docker, Kubernetes).
- Familiarity with DevOps tools and principles (GitLab CI/CD, Jenkins) applied to ML workflows.
- Excellent communication skills for technical consultation and documentation.
Nice-to-Have:
- Experience with MATLAB integration in production environments.
- Background in computer vision or image processing systems.
About this Role:
This is an excellent opportunity for a skilled MLOps professional to take their career to the next level and work with a dynamic team.
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