ML Engineer

Professional Galaxy is an IT and technology consulting company that provides highly specialized expertise within IT, software development, SAP, purchasing, electronics and mechanical design. We collaborate with experienced senior experts and deliver strategic value-creating expertise to some of Sweden's most complex and analytically demanding projects. Our focus is always on high quality, professionalism and clear, measurable results.

We are now seeking an ML Engineer for one of our clients.

About the assignment:

ML engineer - Maps Data Systems

Description In this role, you will design and build machine learning systems and perform data analysis to improve the quality of large-scale geospatial datasets. You will develop both classical machine learning and NLP models to extract structured information, detect anomalies, and measure data quality. You will be involved end-to-end—from experimentation and model development to integration, productionization, and deployment at scale. This role requires a strong combination of data science expertise and solid software engineering skills.

Responsibilities Design, develop, and deploy machine learning models Build and maintain scalable data and software solutions Apply data science techniques to generate insights and improve data quality Own and deliver features and improvements end-to-end Collaborate with cross-functional teams to integrate models into production systems

Must-have Qualifications Strong programming skills, with extensive experience in Python Proven experience in machine learning and data science (e.g., classification, clustering, feature engineering, anomaly detection, neural networks) Experience working with LLMs, including prompting and agent-based workflows Solid understanding of classical ML algorithms (e.g., SVM, Random Forest, Naive Bayes, k-NN) Experience with ML frameworks and libraries such as PyTorch, TensorFlow, Keras, Scikit-learn, NumPy, and Pandas Strong analytical thinking and problem-solving ski