Senior AI and ML Engineer

Procurement Sciences AI

full-time

Posted on: 9/5/2025

Origin: • 🇺🇸 United States • Utah

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💰 $150,000 - $200,000 per year

Senior

AirflowNumpyPandasPythonScikit-Learn

About the role

Build, deploy, and maintain production classification and recommendation systems serving thousands of users
Design and implement ML pipelines for training, evaluation, and monitoring of traditional ML models
Integrate LLM APIs and vector databases into existing ML workflows to enhance product capabilities
Collaborate with product and engineering teams to translate business requirements into scalable ML solutions
Optimize model performance, system reliability, and inference latency across our ML stack
Own traditional ML systems while gaining hands-on experience with RAG pipelines and agent frameworks
Deliver improvements to recommendations, search quality, and user classification impacting product performance

5+ years deploying ML models in production (classification, recommendations, or similar)
Strong Python proficiency with ML libraries (scikit-learn, pandas, numpy) and deployment frameworks
Experience with ML infrastructure: model serving, monitoring, and data pipelines
Familiarity with foundation model APIs (OpenAI, Anthropic, etc.) and vector databases
Track record of building systems that handle real user traffic and data
Experience with LangChain, LangGraph, or similar LLM orchestration frameworks (desired)
Knowledge of data orchestration platforms like Dagster or Airflow (desired)
Background in search systems, embeddings, or information retrieval (desired)
Strong foundation in traditional machine learning with production deployment experience
U.S. citizenship with the ability to pass a Federal Background Check and Identity Verification
While formal education is not a strict requirement, a Bachelor's or Master’s degree in Computer Science, Engineering, or a related field is preferred