Real-Time ML Engineer - Remote (Americas)

Beltic; San Francisco (CA); Hybrid; USD 170,000 - 230,000; Full time

Job summary

Beltic is seeking an experienced ML engineer to work on production-scale models with real-time serving requirements. You will build, evaluate, and deploy models using Python and modern ML frameworks, implement robust data pipelines, and design experiments to validate performance.

The role accommodates remote work from the Americas or on-site in San Francisco, with an emphasis on reliable, scalable ML systems and reproducible results.

Qualifications

• Years of production ML — building, evaluating, and deploying models.
• Strong Python and a modern ML framework (PyTorch or TensorFlow); solid SQL.
• Production ML systems end to end: feature pipelines, training, evaluation, and low-latency, real-time serving.
• Data analysis, statistics, and experiment design.
• Strong software engineering — you ship versioned, testable, reproducible code, not throwaway models.

Skills

Production ML

Python

Experiment design

SQL

Software engineering

Tools

PyTorch

TensorFlow

Job description

Beltic is seeking an experienced ML engineer to work on production-scale models with real-time serving requirements. You will build, evaluate, and deploy models using Python and modern ML frameworks, implement robust data pipelines, and design experiments to validate performance.

The role accommodates remote work from the Americas or on-site in San Francisco, with an emphasis on reliable, scalable ML systems and reproducible results.