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ML Engineer Leader, Senior AI Specialist

1 week ago


Fort Belvoir, United States TeleTech Full time

At TeleTech, we are at the forefront of innovation in machine learning (ML) and artificial intelligence (AI). We require a highly skilled ML engineer to lead our team in developing and deploying cutting-edge AI solutions. This is an exciting opportunity to join our Chief Technology Office team as an optical character recognition (OCR) and natural language processing (NLP) ML engineer.

Job Description

As a senior ML engineer, you will own and define the direction of mission-critical solutions by applying best-fit ML algorithms and technologies. You will be part of a large community of ML engineers across the firm and collaborate with data engineers, data scientists, solutions architects, and product owners to deliver world-class solutions to the special operations community.

Key Responsibilities:
  • Train, test, deploy, and maintain models that learn from data.
  • Develop software architecture with containerization tools, including Docker or Kubernetes.
  • Experience with databases, including SQL.
  • Knowledge of DoD and IC domain and artificial intelligence principles and practices.
  • Knowledge of data science fundamentals and methods.
  • TS/SCI clearance.
Requirements

To be successful in this role, you will need:

  • 5+ years of experience with ML engineering, data science, research engineering, software engineering, development, or full-stack engineering, including in an academic or professional environment.
  • Experience with object-oriented programming in Java, C++, or Python.
  • Knowledge of visualization tools, including Tableau, Anaconda, or R Studio.
  • Ability to deploy production applications to a cloud environment, including Google Cloud or Amazon Web Services.
Benefits

We offer a competitive salary, comprehensive benefits package, and opportunities for career growth and development. Our total compensation package includes health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care.