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# Senior Machine Learning Engineer, Digital Twin Platform

- **Company:** The Ladders
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $201,000.0 - $253,500.0
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Microsoft Azure, Cloud Computing, Python (Programming Language), Machine Learning, Tensorflow, Software Deployment, Unstructured Data, Digital Twin, Data Ingestion, Pytorch, Machine Learning Operations, Data Pipelines
- **Published:** September 5, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/pho4jbiuqn

## About the Role

* 5+ years of experience with deployment of machine learning models in production.
 * Strong proficiency in Python and experience with ML frameworks such as TensorFlow or PyTorch.
 * Experience managing large-scale data pipelines with both structured and unstructured data.
 * Familiarity with cloud platforms such as AWS, GCP, or Azure for model training and serving.
 * Bachelor's degree in a relevant technical field or equivalent practical experience.

## Description

This role will focus on building and deploying machine learning solutions that improve real-time inventory visibility across retail environments. You will own the ML lifecycle end to end, partnering with product, engineering, and other cross-functional teams to turn complex data into production-ready systems. The position also calls for shaping the technical direction of a high-impact team working on core business challenges and foundational infrastructure., * Design and deploy machine learning models for real-time inventory tracking across retail locations.

 * Own the complete ML lifecycle from problem framing to production deployment.
 * Collaborate with cross-functional teams to innovate and implement new product technologies.
 * Contribute to core infrastructure for data ingestion and modeling.
 * Define the technical direction for a startup-like team tackling core business challenges.


## Related Videos

- [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning)
- [AI in Regulated Industry - Validating AI-Enabled Products with PLM and Digital Twins](https://www.wearedevelopers.com/videos/2065-ai-in-regulated-industry-validating-ai-enabled-products-with-plm-and-digital-twins)
- [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs)
- [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding)
- [Every CEO needs a digital twin to understand the scope of generative AI](https://www.wearedevelopers.com/videos/1006-every-ceo-needs-a-digital-twin-to-understand-the-scope-of-generative-ai)
- [Serverless deployment of (large) NLP models ](https://www.wearedevelopers.com/videos/158-serverless-deployment-of-large-nlp-models)

## Related Articles

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- [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production)
- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path)
- [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)
- [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)