AI ML Engineer
FutureSoft India · Noida
Collected role 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.