Job Description

Model Development: Design, implement, and optimize machine learning models with a primary focus on Computer Vision applications. Deployment Optimization: Build and maintain efficient deployment pipelines for ML models on CPU-based cloud servers (e.g., Azure), with occasional GPU-based deployments for resource-intensive tasks. Performance Tuning: Optimize AI containers and applications for speed, scalability, and resource efficiency. Collaboration: Partner with data scientists, engineers, and product managers to integrate ML solutions seamlessly into business workflows. Performance Monitoring: Continuously monitor the performance of deployed models, troubleshoot issues, and implement improvements to ensure reliability and accuracy. Documentation: Create and maintain clear, comprehensive documentation for model development, testing, and deployment processes.