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ML/NLP Manager (Remote)

  • Location

    United States

  • Sector:

    Data Science

  • Job type:

    Permanent

  • Contact:

    Amelia Jones

  • Contact email:

    amelia@intelletec.com

  • Startdate:

    ASAP

  • Consultant:

    Amelia Jones

ML/NLP Manager (Remote) - US & Canada

 

Intelletec has partnered with a rapidly expanding, revenue-generating Security DLP (Data Loss Prevention) Platform startup. They are looking for a hands-on ML/NLP Manager, you will be one of the founding engineering managers, owning the technical output of the engineering organization.

 

You will ensure high technical standards by instituting processes (architecture reviews, testing) and culture (engineering excellence), and review and drive the long-term technical direction of the products. You will work with big volumes of data to detect sensitive information applying the latest ML/NLP methodologies from end to end.

 

Responsibilities:

  • Directly manage data scientists and engineers of all levels

  • Scope and plan key deliverables by working with engineering managers and IC's to ensure project planning of key initiatives

  • Coordinate within the organization alongside PM, marketing, and sales to ensure delivery of key initiatives.

  • Help to recruit, inspire, and develop a high performing and creative engineering team

  • You will directly contribute to the core product by improving existing algorithms that highly scale in our production environment

  • Work with highly imbalanced datasets to improve performance of existing NLP models and algorithms

  • Applying the latest cutting-edge advancements in AI/ML research to current solutions in a scalable manner for online detection

 

Requirements:

  • Minimum 6+ years of hands-on technical development experience

  • Minimum 2+ years of experience mentoring and leading engineering teams that build and operate high volume distributed systems

  • Experience running the day-to-day sprint process for an engineering team

  • Experience designing and building systems in a microservices-based architecture

  • Strong foundations in ML/NLP methods and algorithms

  • Extensive experience with ML deployment frameworks

  • Successfully led the efforts to design, implement, and deploy NLP models

  • Familiarity with containerized applications, databases, and distributed computing

On offer:

  • Highly competitive compensation package

  • Fully remote role

  • Unlimited PTO

  • Wellness & Professional development budget