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# ML Engineer

- **Company:** Apetan Consulting
- **Location:** United States (Remote available)
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Program Optimization, Computer Programming, Data Cleansing, Python (Programming Language), Machine Learning, Tensorflow, SQL Databases, Data Processing, Feature Engineering, Pytorch, Model Validation, Scikit Learn, Information Technology, Machine Learning Operations
- **Published:** September 10, 2026
- **Apply:** https://www.dice.com/job-detail/5c3b7e80-f288-4fa6-8401-4471178684fa

## About the Role

* Bachelor's/Master's degree in Computer Science, Engineering, Mathematics, Statistics, or a related field.
 * Strong programming skills in Python.
 * Good knowledge of Machine Learning algorithms and statistics.
 * Experience with frameworks such as Scikit-learn, TensorFlow, or PyTorch.
 * Strong understanding of data preprocessing, feature engineering, and model evaluation.
 * Experience with SQL and data manipulation.

## Description

* Develop, train, and deploy machine learning models.
 * Prepare, clean, and analyze datasets for model development.
 * Implement machine learning algorithms for business and product use cases.
 * Evaluate model performance and improve accuracy, scalability, and reliability.
 * Develop reusable ML pipelines and integrate models into applications.
 * Monitor model performance and troubleshoot production issues.
 * Work with data scientists, software engineers, and product teams.
 * Perform feature engineering and model optimization.
 * Maintain ML code, documentation, and development processes.
 * Stay updated with emerging AI/ML techniques and tools.


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- [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning)
- [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)
- [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs)
- [Serverless deployment of (large) NLP models ](https://www.wearedevelopers.com/videos/158-serverless-deployment-of-large-nlp-models)

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