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.
About the job
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
Python, NLP, Machine Learning, CI/CD, Entity Extraction, Supervised Learning, Ml Pipelines, Model Deployment, Production Ml, Data Classification
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