ML Engineer (NLP)

Remote • $100k - $145k

iOLAP, Inc.


Role Location

  • Remote

Compensation

$100k - $145k

Employees

101 - 250 people

Address

2600 Network Blvd, Ste 570
Frisco, TX, 75034, US

Tech Stack

  • AWS
  • Node.js
  • Koa.js
  • Angular
  • TypeScript
  • Amazon Elasticsearch
  • Docker
  • GovCloud

Role Description

Responsbilities

  1. Language Modeling
    • Ability to assess and implement business use-cases through NLP
    • Keen sense of business value
    • Strong sense of where NLP does and does not apply well
    • Fluent in python programming with strong discipline in best practices
    • Experience in the full software / data science life cycle
    • Experience in production deployment of NLP models
    • Experience in some of:
      • ML Frameworks: Pytorch, Keras, Tensorflow
      • NLP libraries (allen NLP, spaCy, NLTK, etc)
      • Transformer models
  2. Data Pipeline Engineering
    • Applied knowledge in feature engineering and data preparation
    • Applied knowledge in data mining and text mining
    • Solid understanding of end-to-end workflows involving NLP
    • Experience in moderate to complex NLP solutions and use-cases
  3. Project Delivery
    • Technical leadership and/or engineering roles through the entire project lifecycle
    • Ability to collaborate with various team members
    • Able to execute quickly with reasonable estimation and time-boxing
    • Applied knowledge in properly defining experiments and evaluating outcomes

Ideal candidate profile:

  • 3+ years experience in a technical consulting firm
  • 4+ years of direct application in language modeling and NLP engineering
  • Working knowledge across diverse NLP modeling scenarios
  • Experience in scoping, estimating, and delivering NLP solutions
  • Experience working in one or more cloud providers: AWS, IBM, Microsoft
  • Exposure to delivering scalable NLP solutions
  • Established proficiency across NLP methodologies and techniques, including:
    • Entity recognition, entity linking, and entity resolution
    • Topic modeling and text similarity
    • Document classification or clustering
    • Word, sentence, and document embeddings
    • Semantic search or information retrieval

About iOLAP, Inc.

We are a technology consultancy and system integrator. We also have a GovTech startup.

Company Culture

Trusting. Collaborative. Use logic - place bets.

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