Hykmann Global Business Solutions AB is looking for an experienced Machine Learning Engineer / Data Scientist for an exciting opportunity focused on large-scale geospatial data, machine learning, and data quality improvement.Term: 1 Year contractAre you passionate about building production-ready ML solutions that turn complex datasets into reliable, actionable insights? This role offers the opportunity to work across the entire machine learning lifecycle—from experimentation and model development to integration, deployment, and production-scale delivery.We’re looking for someone who combines strong data science expertise with solid software engineering skills and a hands-on, ownership-driven mindset.🎯 About the RoleYou will design, develop, and deploy machine learning systems to improve the quality and reliability of large-scale geospatial datasets. Your work will involve classical ML algorithms, NLP, anomaly detection, and large language models (LLMs) to extract structured information and identify data quality issues.You will collaborate with cross-functional teams to transform analytical models into scalable, production-ready solutions.🔧 Key ResponsibilitiesDesign, develop, evaluate, and deploy machine learning models.Build and maintain scalable data pipelines and software solutions.Apply machine learning and data science techniques to identify anomalies and improve data quality.Develop classical ML and NLP models to extract structured information from complex datasets.Work with LLMs, prompting techniques, and agent-based workflows.Take end-to-end ownership of features and improvements, from experimentation to production deployment.Integrate ML models into existing systems and production environments.Collaborate with engineering and data teams to deliver reliable, m…