ML Data Scientist - Remote

Overview

Augmodo is at the forefront of spatial computing, where mapping connects the digital and physical worlds. As a ML Data Scientist, you will play the key role in owning the entire lifecycle of data used for ML and CV development. Working with CV engineers, you will develop the ML model evaluation and testing process and criteria that gate model deployment; you will partner with ML infrastructure engineers to develop the continuous ML data pipeline that serves tens of thousands of stores worldwide.

In Short

• Own the end to end data lifecycle for large scale computer vision and ML development: from defining, collecting, curating, updating, cataloging to versioning.
• Define and own ML model evaluation and testing methodology, process and metrics.
• Partner with ML infrastructure engineers to define and develop ML CI/CD.
• Collect, manage, analyze and visualize large scale data sets using data platforms, tools and techniques.
• Optimize and fine-tune AI-driven spatial models for performance and scalability. Analyze and interpret data to extract meaningful insights to improve AI models.

Requirements

• Strong expertise in deep learning, fluent in Python and SQL.
• Expertise in automating machine learning data development and building end to end products.
• Proficient in, including building for, data analytics tooling and visualization.
• Excellent problem-solving and analytical skills.
• Strong communication and teamwork skills.
• 5 years of experience in data science or related roles.
• Bachelor in Computer Science, Mathematics, Statistics, or a related field.

Benefits

• Master's degree or PhD in Computer Science, Mathematics, Statistics or a related technical field.
• Experience developing analytics, evaluation and visualization for petabyte-scale, real-time data processing pipelines and products.
• Experience with DevOps tools such as Git, CI/CD, and/or Docker.