AI Engineer 18008
Core
Design, develop, and deploy machine learning models and systems for large-scale data processing, geospatial insights, and NLP solutions.
Role type
Machine Learning Engineer
Builds
Scalable software and data solutions, production ML models, and AI capabilities
Domain
IT / Data Science / Geospatial / NLP
Deliverable
production ML models
Required skills
Python, classification, clustering, feature engineering, anomaly detection, neural networks, Large Language Models (LLMs), prompt engineering, agent-based AI workflows, Support Vector Machines (SVM), Random Forest, Naive Bayes, k-Nearest Neighbors (k-NN), PyTorch, TensorFlow, Keras, Scikit-learn, NumPy, Pandas
Preferred skills
Strong analytical thinking, problem-solving abilities, ability to balance innovation with practical delivery
Technologies
PyTorch, TensorFlow, Keras, Scikit-learn, NumPy, Pandas
Responsibilities
Design and implement NLP solutions for structured information extraction, develop feature engineering pipelines and model evaluation frameworks, optimize model performance and scalability, support model integration and productionization, collaborate with software engineers and data engineers
Seniority
Experienced IC