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1 день назад

ML Engineer (Fintech)

122 500 - 192 500$
Формат работы
onsite
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

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TL;DR

ML Engineer (Fintech): Building and deploying advanced predictive models into real-time transaction processing systems with an accent on distributed ML architectures, scalability, and high-throughput data pipelines. Focus on integrating AI technologies into the hirify.global Platform, ensuring performance, and maintaining ethical standards for data protection in regulated financial environments.

Location: San Diego, CA (Onsite)

Salary: $122,500–$192,500

Company

hirify.global is a leading global analytics software company that provides decision management solutions for businesses in over 100 countries, specializing in credit scoring, fraud detection, and lending.

What you will do

  • Develop and maintain advanced distributed ML architectures, pipelines, and infrastructure for real-time predictive analytics.
  • Integrate and evaluate ML frameworks while balancing performance and cost constraints.
  • Collaborate with cross-functional teams including Software Development, QA, and Product Management to ensure successful model integration.
  • Establish quality controls and ethical standards for PII and IP protection.
  • Mentor junior engineers and scientists to foster technical growth.

Requirements

  • M.S. or Ph.D. in computer science, engineering, physics, or a related field.
  • Proven industry experience in analytic software, data engineering, or machine learning.
  • Strong competency in at least two programming languages: C, C++, Java, or Python.
  • Experience with distributed computing platforms, SQL, NoSQL databases, and Linux environments.
  • Solid understanding of software design principles, agile development, and CI/CD practices.
  • Ability to work onsite in San Diego, CA.

Nice to have

  • Experience with cloud platforms (AWS, GCP, Azure) and container orchestration (Docker, Kubernetes).
  • Background in fintech, insurance, or other regulated domains.
  • Familiarity with AI governance, model explainability, and audit-readiness.
  • Experience with performance monitoring tools like Prometheus, Grafana, or Datadog.

Culture & Benefits

  • Comprehensive benefits program including progressive parental leave.
  • Flexible work options and opportunities for community involvement.
  • Culture focused on ownership, customer delight, and mutual respect.
  • Competitive compensation and rewards package.

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