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# Data Scientist

- **Company:** US3 CONSULTING SERVICES LLC.,
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Testing (Software), Clean Code Principles, Automation of Tests, Software Quality, Continuous Delivery, Continuous Integration, Python (Programming Language), Machine Learning, Tensorflow, Software Engineering, Pytorch, Machine Learning Operations, Docker
- **Published:** August 24, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/pelffa2crl

## About the Role

* Proven experience building and maintaining Python packages/libraries.
 * Strong software engineering practices and ability to write clean, maintainable code.
 * Hands-on experience with software testing, test automation and quality practices.
 * Experience designing and implementing CI/CD pipelines.
 * Strong understanding of software development lifecycle and engineering best practices.
 * Ability to collaborate effectively with data science and engineering teams.

Preferred skills

 * Experience with PyTorch or similar machine learning frameworks.
 * Understanding of GPU-accelerated workloads.
 * Exposure to speech technologies or speech-based machine learning.
 * Experience with Docker and Kubernetes.
 * Knowledge of observability, monitoring and production reliability practices.
 * Experience supporting or deploying machine learning workloads in production environments

## Description

We're looking for a Senior Data Scientist with strong Python engineering skills to design and develop high-quality, reusable libraries and packages that support machine learning workflows.

You'll work closely with engineering and data science teams to build robust software, improve testing and CI/CD practices, and help create scalable, maintainable solutions for ML environments.

Key responsibilities

 * Design and develop high-quality, reusable Python libraries and packages.
 * Build maintainable software to support machine learning workflows.
 * Develop and maintain robust testing frameworks and automated tests.
 * Design, implement and enhance CI/CD pipelines.
 * Write clean, scalable and well-documented code.
 * Collaborate with data science and engineering teams to deliver ML-focused solutions.
 * Contribute to software quality, reliability and engineering best practices.
 * Support the development and optimisation of production-ready ML environments.


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