Tech Stack

Description

You will design and deploy machine learning algorithms for e-commerce and logistics, work on real-world consumer data, and build frameworks that multiply your team's impact. As a full-stack ML Engineer, you'll own ML operations and write production-level code.

Requirements

• 10+ years hands-on experience shipping ML models to production
• MS in CS, Statistics, Math, Science, Engineering or similar field
• Fluency in Python, PyTorch, TensorFlow, Pandas, NumPy
• Experience with large data (TB) and data pipelines (Spark)
• Strong SQL and NoSQL database skills

Responsibilities

• Design and deploy ML algorithms for e-commerce, consumer trends, logistics
• Work on NLP, image classification, time series, outlier detection, user modeling
• Process large unstructured data in production
• Build frameworks and tools for data science teams
• Provide thought leadership through write-ups and reviews