Model Deployment Jobs

I need a hands-on partner to turn a folder of labelled pictures into a production-ready image-classification model. This project sits squarely in machine learning: the main task is to build, train, and validate a solution that can correctly place each incoming image into its predefined category with solid, measurable accuracy. Here is how I see the work unfolding: • Prepare and clean the image dataset, applying sensible augmentation so the network generalises well. • Select or design a CNN architecture (transfer-learning with ResNet, EfficientNet, or a custom model—whichever you believe will perform best) and implement it in Python using TensorFlow or PyTorch. • Train, tune hyper-parameters, and track performance with clear metrics; I want the training notebo...

We are looking for an experienced Arista Networks Corporate Trainer to deliver instructor-led technical training for our client. Key Topics: Arista EOS (Extensible Operating System) Arista CloudVision (CVP) Data Center Networking Campus Networking EVPN-VXLAN BGP, OSPF, and Routing Technologies Network Automation (Python/Ansible preferred) Arista Best Practices and Deployment Trainer Requirements: Strong hands-on experience with Arista networking solutions. Prior experience delivering corporate or enterprise technical training. Excellent communication and presentation skills. Ability to conduct interactive sessions with practical demonstrations and real-world use cases. Relevant Arista certifications (ACE) are preferred. Engagement Details: Mode: Virtual / Classroom (based on client r...

I’m rolling out a new, production-grade recommendation and ranking pipeline for several enterprise products and I need a senior-level engineer who already lives and breathes these systems. Your primary playground will be large-scale feature engineering and EDA, then building, tuning and shipping models that actually move CTR/CVR metrics in the wild. Here’s the environment you’ll be stepping into: Python and Spark for data prep, TensorFlow/PyTorch for model work, all running on AWS — S3, EMR and SageMaker. GenAI/LLM/RAG methods are in scope; I’m especially interested in seeing how you weave retrieval-augmented generation into ranking logic. You should be comfortable: • Designing and maintaining a feature store, then creating training/validation sets &bul...