Freelance Data Scientist

🕒 April 22

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Eureka Labs

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2017

☁️ SaaS

⚡ Productivity

Software • SaaS • Productivity

Eureka Labs is an innovative company focused on developing cutting-edge solutions in technology and software. With a commitment to excellence, it aims to provide powerful tools and services that enhance user experiences across various sectors. Their expertise lies in creating applications that drive efficiency and productivity for businesses and consumers alike.

📋 Description

• Design, train, evaluate, and deploy machine learning models for real-time and near–real-time applications. • Partner with the Senior Cloud Engineer to deploy models within cloud pipelines. • Collaborate on the design and optimization of data pipelines used for model training, inference, and monitoring. • Establish metrics for model performance, data drift, and system health. • Analyze the impact of new features and model changes in production environments. • Work closely with cloud, perception, and UI engineering teams to integrate ML outputs into customer-facing products.

🎯 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).