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4 дня назад

Senior AI/ML Scientist (AI Engineering)

133 109 - 239 596$
Формат работы
remote (только USA)
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 AI/ML Scientist (AI Engineering): Building and supporting machine learning models and AI systems that power hirify.global's products and services with an accent on integrating synthetic data generation, automated pattern discovery, and scenario-based stress testing. Focus on aligning AI-driven insights with business objectives and regulatory standards, ensuring fairness and regulatory compliance.

Location: Remote (California)

Salary: $133,109 - $239,596

Company

hirify.global is a global data and technology company, powering opportunities for people and businesses around the world.

What you will do

  • Architect and implement a closed-loop learning system integrating synthetic data generation, automated pattern discovery, and scenario-based stress testing.
  • Develop GenAI-powered data mining algorithms to identify latent structures, cross-domain patterns, and evolving risk signals across credit, transactional, and fraud datasets.
  • Lead bias diagnosis and counterfactual testing to ensure fairness and regulatory compliance under stress scenarios.
  • Collaborate with risk, compliance, and fraud teams to align AI-driven insights with business objectives and regulatory standards.
  • Create dynamic segmentation models that evolve with customer states and macroeconomic conditions.
  • Stay current with advancements in AI/ML and proactively integrate emerging technologies into hirify.global's solutions

Requirements

  • 7+ years of experience in AI/ML, with hands-on expertise in building, deploying and monitoring models at scale
  • Strong knowledge of modern language models (Transformers, GPT APIs, SLMs, RLHF), and agent-based architectures
  • Proficiency in Python, TensorFlow, PyTorch, and colud-based ML platform
  • Advanced degree (MS or PhD) in computer science, AL/ML or related field
  • Experience with machine learning algorithms and processes (such as xgboost, GANs, Clustering, Graph Algorithms, Reinforcement Learning)

Culture & Benefits

  • Great compensation package and bonus plan
  • Core benefits including medical, dental, vision, and matching 401K
  • Flexible work environment, ability to work remote, hybrid or in-office
  • Flexible time off including volunteer time off, vacation, sick and 12-paid holidays

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