Senior MLOps Engineer

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September 17

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Wizard

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Artificial Intelligence • eCommerce • Retail

Wizard AI is a company that provides a tailored shopping experience powered by artificial intelligence. It offers a unique text-based service that curates product recommendations across the internet, utilizing AI models that understand user preferences to predict needs and make personalized suggestions. Wizard AI simplifies shopping by finding, ordering, and tracking products, as well as managing returns through SMS communication. This service is designed to save time and improve the convenience of online shopping by efficiently juggling product data, customer reviews, and other digital content to make informed recommendations for customers.

51 - 200 employees

🤖 Artificial Intelligence

🛍️ eCommerce

🛒 Retail

💰 $50M Series A on 2021-10

📋 Description

• Design, build and maintain infrastructure for deploying, monitoring and updating machine learning models at scale • Automate end to end model pipelines from ingestion and preprocessing to training, validation and deployment • Implement monitoring for model performance, accuracy, drift and latency • Ensure ML systems are secure, cost efficient and scalable in production • Document and continuously improve ML infrastructure, workflows and tooling • Partner with ML engineers, scientists and product to move models seamlessly from research to production • Apply software engineering best practices (testing, CI/CD, version control) to ML systems

🎯 Requirements

• 5+ years of experience in ML Ops including ownership of production ML systems • Bachelor’s or Master’s in Computer Science or a related field • Strong expertise in Python and ML/DS libraries (e.g. TensorFlow, PyTorch) • Experience with machine learning lifecycle management tools • Hands on experience deploying and monitoring deep learning models • Strong knowledge of cloud platforms such as AWS, Azure, or GCP