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2 часа назад

Senior Manager, AI/ML Engineering & Customer Insights (AI/ML)

135 910 - 223 285$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
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
Senior Manager, AI/ML Engineering & Customer Insights (AI/ML): Building a new AI-powered customer insights capability that aggregates telemetry, feedback, reviews, support signals, and product usage data with an accent on machine learning, generative AI, and scalable cloud-native engineering. Focus on developing production-grade insight platforms, LLM-powered analysis workflows, MLOps practices, and leading an engineering and data team.

Location: Hybrid in Frisco, Texas; regular onsite attendance is required. Candidates must live within a commutable distance to one of the two locations. Relocation assistance is not offered.

Salary: USD $135,910–$223,285 per year, depending on experience and qualifications.

Company

hirify.global develops consumer cybersecurity solutions designed to protect people, families, and communities in an always-online world.

What you will do

  • Establish and lead a new AI-driven Customer Insights function within engineering.
  • Define the strategy, roadmap, architecture, processes, and operating model for AI/ML-driven customer experience improvements.
  • Design AI/ML and Generative AI solutions that analyze telemetry, logs, reviews, surveys, support interactions, and product feedback.
  • Build scalable cloud-native data pipelines, APIs, services, and platforms for structured and unstructured datasets.
  • Drive proof-of-concepts, production deployments, MLOps, model monitoring, governance, reliability, and operational scalability.
  • Build, mentor, and lead engineers and data professionals while presenting actionable insights to senior leadership.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, Machine Learning, or a related field.
  • 10–15 years of software engineering experience, including at least 3 years focused on AI/ML, advanced analytics, or data-driven product development.
  • Hands-on Python and/or Golang experience with RESTful APIs, microservices, distributed systems, and event-driven architectures.
  • Experience with machine learning, predictive analytics, NLP, LLMs, prompt engineering, RAG, sentiment analysis, summarization, classification, and recommendation systems.
  • Experience with AWS, Azure, or GCP, plus Docker, Kubernetes, SQL and NoSQL databases, and large-scale data technologies.
  • Proven engineering leadership, stakeholder management, communication, and delivery of complex initiatives from concept through production.

Culture & Benefits

  • Hybrid work with flexible work hours.
  • Bonus program and 401(k) retirement benefits.
  • Medical, dental, vision, life, and disability coverage.
  • Paid parental leave, paid company holidays, sick time, and vacation benefits.
  • Social programs, community involvement, and diversity and inclusion initiatives.

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