Machine Learning Engineer, Python, PyTorch

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October 15

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Dijkstrack

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Transport • Artificial Intelligence • Logistics

Dijkstrack is a technological company specializing in developing innovative software solutions for route optimization and navigation systems. Their products are tailored for various sectors including logistics, transport, and delivery services, aimed at increasing efficiency and reducing operational costs. Dijkstrack utilizes cutting-edge algorithms and artificial intelligence to offer precise and reliable solutions for their clients.

2 - 10 employees

🚗 Transport

🤖 Artificial Intelligence

📋 Description

• Design, train, and deploy machine learning and deep learning models using PyTorch • Build and maintain ML pipelines, model training workflows, and data processing components • Work with product and engineering teams to integrate models into production systems • Analyse datasets, performance metrics, and optimise models for accuracy and efficiency • Implement MLOps best practices for model versioning, deployment, and monitoring • Document models, datasets, evaluations, and maintain reproducibility standards • Participate in code reviews and uphold engineering quality in ML codebases

🎯 Requirements

• Strong proficiency in Python for ML development • Hands-on experience with PyTorch (TensorFlow experience also welcome) • Solid understanding of machine learning fundamentals, model architectures, training loops • Ability to work with large datasets, ETL pipelines, and model optimisation • Familiarity with Git workflows, remote collaboration, and agile delivery models

🏖️ Benefits

• Join a network of engineers delivering advanced ML solutions internationally • Technical community of senior engineers across data, backend, and product domains • Remote-first culture, global exposure, and structured technical delivery support