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5 дней назад

Technical Team Lead - Machine Learning

165 000 - 205 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Technical Team Lead - Machine Learning (ML/AI): Leading a small team developing and managing machine learning solutions across the full application lifecycle with an accent on model optimization, technical standards, and scalable software development. Focus on guiding architectural initiatives, building roadmaps, improving observability and performance, and mentoring engineers while managing team effectiveness and delivery.

Location: Arlington, VA - 1801 S Bell (INDG), United States

Salary: $165,000–$205,000 per year

Company

hirify.global is the employing organization for this machine learning leadership role.

What you will do

  • Manage, coach, and mentor a small team to support team health, effectiveness, and career growth.
  • Oversee machine learning solutions from problem scoping and data preparation through model optimization and deployment lifecycle activities.
  • Partner with product and other teams to develop roadmaps and prioritize the use of team and company resources.
  • Set and maintain technical standards for observability, stability, scalability, security, performance, and cost effectiveness.
  • Guide modern machine learning and software development practices while providing hands-on technical assistance and problem-solving support.
  • Lead special projects and contribute to an inclusive, high-performance working environment.

Requirements

  • Master’s or PhD in a related field, or equivalent work experience.
  • At least 3 years of experience with an object-oriented programming language such as Java or Python, ML/AI frameworks and libraries, data structures, and data modeling techniques.
  • At least 3 years of software development experience building commercial and machine learning applications.
  • Experience across the machine learning application lifecycle, including problem mapping, scoping, data gathering, data preparation, and model performance optimization.
  • Project or team leadership experience with strong interpersonal skills.
  • Working experience with DevOps, CI/CD, and infrastructure as code.

Culture & Benefits

  • Full-time employment.
  • Salary placement is determined after the interview process based on experience, skills, education, certifications, and geographic location.
  • Commitment to equal opportunity and non-discrimination throughout employment.

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