ML Engineer
Core
Design and build machine learning systems and perform data analysis to improve the quality of large-scale geospatial datasets.
Role type
Machine Learning Engineer
Builds
Scalable data and software solutions for geospatial data quality improvement
Domain
Geospatial data systems
Deliverable
production ML models
Required skills
Python, machine learning, data science, LLMs, classical ML algorithms, ML frameworks
Preferred skills
Scala, Java, NLP, information retrieval, statistical modeling
Technologies
PyTorch, TensorFlow, Keras, Scikit-learn, NumPy, Pandas
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
Seniority
Mid-level, hands-on IC