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# Machine Learning Engineer

- **Company:** ALPHA Augmented Services
- **Location:** Spain (Remote available)
- **Salary:** €27,360.0 - €60,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Microsoft Azure, Big Data, Code Review, Python (Programming Language), Machine Learning, Mathematical Programming, Routing, Tensorflow, Software Construction, Reinforcement Learning, Google Cloud, Pytorch, Deep Learning, Git, Information Technology, Api Design, Software Version Control
- **Published:** September 25, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=df945c16e03d1ab2

## About the Role

* Education: A Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Robotics, or a related field.
 * Python: Strong Python programming skills and experience building software beyond notebooks and prototypes.
 * Machine Learning: A strong understanding of machine learning and deep learning concepts, with practical experience developing and training models.
 * Reinforcement Learning: A solid understanding of reinforcement learning concepts, with practical experience applying reinforcement learning to optimization problems.
 * Optimization: Practical experience with combinatorial optimization, operations research, or mathematical programming.
 * Production ML: Proven experience building, deploying, and maintaining machine learning models in production environments.
 * Frameworks: Hands-on experience with PyTorch, TensorFlow, or similar ML frameworks.
 * Problem-Solving: Strong analytical and problem-solving skills, with the ability to break down complex problems and develop practical solutions.
 * Research: The ability to understand, implement, and adapt research-based approaches to practical problems.
 * Version Control: Working knowledge of Git and modern version-control workflows.
 * Strong written and verbal communication skills in English., * Experience with logistics, supply chain, packing, routing, scheduling, or other operational problems.
 * Experience with cloud platforms such as Azure or Google Cloud Platform.
 * Experience with API development, integration, and working with production systems.
 * Experience translating research ideas to implementation.
 * Experience working with large-scale datasets or computationally intensive problems.

## Description

* Design, implement, and train reinforcement learning and deep learning models for real-world optimization problems.
 * Work with constraint-based problems and combinatorial optimization techniques.
 * Translate research ideas and academic approaches into practical solutions.
 * Work with large and complex datasets to identify patterns, develop models, and improve optimization outcomes.
 * Collaborate with engineers and domain experts to integrate AI and optimization approaches into production systems.
 * Write clean, maintainable Python code and contribute to testing, documentation, code reviews, and development workflows.
 * Continuously evaluate and improve the performance, scalability, and reliability of AI-based solutions.


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