Azure AI Engineer

About the Role

Key Responsibilities

• Develop and enhance TensorFlow-based image classification models.
• Design and implement training pipelines for model iteration and improvement.
• Analyze model performance and implement techniques to improve accuracy and reduce false positives.
• Maintain and optimize existing ML inference services deployed in Kubernetes.
• Collaborate with Engineers to ensure seamless integration between machine learning components and API services.
• Monitor model performance in production and implement strategies to handle data drift.
• Work with labeled datasets from the review interface to improve model quality.
• Develop data preprocessing pipelines for image normalization and augmentation.
• Implement feedback loops utilizing corrections from subject matter experts and metrics.
• Research state-of-the-art computer vision techniques applicable to image recognition.
• Evaluate new approaches for improving identification accuracy and processing efficiency.
• Prototype and implement new features leveraging machine learning capabilities.
• Work with full-stack engineers to integrate ML components into the broader application.
• Work within Azure for the entire process - building products within Azure.
• Document ML approaches, model versions, and performance metrics.

Requirements

• Master's or Bachelor's degree in Computer Science, Machine Learning, or related field.
• 3+ years of experience in developing and deploying machine learning models.
• Strong background in computer vision and image classification.
• Experience with Azure (a plus if you have Azure AI Solutions).
• Proficiency in Python and machine learning frameworks (TensorFlow required, ONNX or PyTorch a plus).
• Experience with containerized ML deployments (Docker, Kubernetes).
• Familiarity with REST APIs and microservices architectures.
• Knowledge of image processing techniques and computer vision algorithms.
• Understanding of ML model versioning, monitoring, and maintenance.

Nice to Have

• Experience with image recognition or similar identification systems.
• Background in developing systems that incorporate human feedback for model improvement.
• Familiarity with SQL or similar databases for storing model outputs and metadata.
• Experience with CI/CD pipelines for ML model deployment.

Qualifications

• Educational background in Computer Science, Machine Learning, or related fields.
• Experience in developing and deploying ML models for at least 3 years.

Benefits & Perks

• Competitive base salary range: $90,000 USD - $143,000 USD, with potential for bonuses or incentives.
• Comprehensive health plans and a market-leading 401(k) program with company contribution.
• Product discounts and flexible time off benefits, including half-day summer Fridays.
• Inclusive fertility and adoption benefits.
• Participation in Employee Resource Groups supporting inclusivity and belonging.