Applied AI / Machine Learning Engineer
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The role
Design, develop, and deploy AI-powered features into production systems.
Apply supervised, unsupervised, and deep learning techniques to structured and unstructured data.
Build and evaluate models for classification, ranking, prediction, NLP, or anomaly detection.
Develop GenAI solutions, including LLM-based workflows, embeddings, and retrieval-augmented generation.
Translate business needs into ML problem statements, metrics, and experiments; implement data pipelines and feature engineering.
Collaborate with software engineers to integrate models via APIs and services, and monitor performance, bias, drift, and scalability.
Apply supervised, unsupervised, and deep learning techniques to structured and unstructured data.
Build and evaluate models for classification, ranking, prediction, NLP, or anomaly detection.
Develop GenAI solutions, including LLM-based workflows, embeddings, and retrieval-augmented generation.
Translate business needs into ML problem statements, metrics, and experiments; implement data pipelines and feature engineering.
Collaborate with software engineers to integrate models via APIs and services, and monitor performance, bias, drift, and scalability.
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