Freelance Data Scientist

Role Overview

This is a flexible, project-based opportunity for a freelance data scientist to support projects related to computer vision, traffic analytics, and machine learning applied to real-world data. The selected candidate will work directly with the CTO in the United States and collaborate with cloud engineering, product, and development teams.

What You Will Do

Design, train, evaluate, and deploy machine learning models for real-time and near–real-time applications. Collaborate on the design and optimization of data pipelines used for model training, inference, and monitoring.

Why It Might Be a Fit

Ideal for someone who works autonomously, has a hands-on mindset, and enjoys solving meaningful technical challenges with visible business impact.

Requirements

• 3–6 years of experience building and deploying machine learning models in production environments
• Strong foundation in supervised and/or unsupervised learning, time-series, or real-time inference use cases
• Experience supporting low-latency or streaming ML workloads
• Hands-on experience working in AWS (or similar cloud environments) alongside cloud engineers
• Comfort interacting with data stored in PostgreSQL, Snowflake, or similar systems
• Strong proficiency in Python and common ML libraries (e.g., PyTorch, DeepStream, scikit-learn)
• Familiarity with ML lifecycle tooling (experiment tracking, model versioning, CI/CD for ML)
• Intermediate English level (written and spoken)