Senior ML Engineer: NLP & Scalable ML Platforms

Liine

Raleigh (NC)

Hybrid

USD 130,000 - 190,000

Full time

2 days ago
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Benefits offered by this job

Equity
401k match
Health insurance
Dental insurance
Vision insurance
Disability insurance
Unlimited PTO
Career growth

Job summary

Liine in downtown Raleigh, NC, is hiring a Senior Machine Learning Engineer to scale our AI-powered analytics platform for healthcare practices. You will design, implement, and deploy scalable ML pipelines, NLP systems, and data-driven features that drive real value for customers.

You’ll collaborate with engineering and product to shape ML strategy, model architecture, and production-grade ML systems while thriving in a fast-paced startup environment with generous equity and room for career

Qualifications

  • 3+ years of machine learning experience.
  • Proficiency in Python and data science libraries.
  • Experience building scalable ML pipelines and NLP systems.
  • Comfort deploying models to production (MLOps).

Responsibilities

  • Research, develop, evaluate, deploy, and monitor scalable ML platforms and pipelines
  • Build and maintain NLP systems, including language model fine-tuning and classification
  • Review code and promote software development best practices within Liine’s SDLC
  • Integrate APIs, microservices and data pipelines to connect to ML platforms
  • Contribute to ML strategy, model architecture and team practices
  • Collaborate with engineering and product to deliver ML features with real value

Skills

Python
NumPy
Pandas
PyTorch
ML pipelines
NLP
Distributed systems
MLOps

Tools

AWS
Docker
Git

Job description

Liine in downtown Raleigh, NC, is hiring a Senior Machine Learning Engineer to scale our AI-powered analytics platform for healthcare practices. You will design, implement, and deploy scalable ML pipelines, NLP systems, and data-driven features that drive real value for customers.

You’ll collaborate with engineering and product to shape ML strategy, model architecture, and production-grade ML systems while thriving in a fast-paced startup environment with generous equity and room for career

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