ML Engineer Machine Learning & Geospatial Data - 20093
Core
Develop and deploy machine learning systems to improve the quality of large-scale geospatial datasets by extracting structured information and detecting anomalies.
Role type
Machine Learning Engineer (Geospatial Data & NLP)
Builds
Scalable data pipelines, production ML models, and software solutions for data quality improvement.
Domain
Geospatial data, Machine Learning, Natural Language Processing
Deliverable
production ML models
Required skills
Python, Classical Machine Learning (SVM, Random Forest, Naive Bayes, k-NN), LLMs, Prompting, Agent-based workflows, PyTorch, TensorFlow, Keras, Scikit-learn, NumPy, Pandas, Data Pipelines, Anomaly Detection, Feature Engineering, Classification, Clustering
Preferred skills
Scala, Java, NLP, Information Retrieval, Data Mining, Statistical Modelling, Predictive Model Development