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TeleskopeTeleskopeNew York, NY

Senior Machine Learning Engineer

Leads team building and scaling production ML pipelines for entity extraction and data classification across text, documents, and OCR. Requires 5+ years deploying ML systems, strong NLP expertise, Python proficiency, and translating research to production.

180k – 210k/yr
Hybrid5+ YOEML Engineering

About the role

What You'll Do

  • Lead a team responsible for building, maintaining, and scaling production ML pipelines for entity extraction and data element classification across diverse data types.
  • Partner with both analytics and ML-focused data scientists to translate experiments into deployed systems and unblock technical bottlenecks.
  • Implement evaluation, monitoring, and regression testing frameworks in collaboration with QC.
  • Drive incremental improvements to classification models and pipelines with a focus on measurable impact.
  • Advocate for and implement best practices around model deployment, versioning, and operational monitoring.

About you

  • 5+ years of experience building and deploying ML systems in production.
  • Strong experience with NLP systems and supervised entity classification models.
  • Comfort moving from research prototypes to CI/CD and production pipelines.
  • Proficiency in Python with common ML tooling.
  • Strong analytical instincts and problem solving under ambiguity.
  • Collaborative communicator who can partner across data science and engineering functions.

Skills

PythonNLPMachine LearningCI/CDEntity ExtractionSupervised LearningMl PipelinesModel DeploymentProduction MlData Classification

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