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7 часов назад

Senior Machine Learning Platform Engineer (MLOps)

160 000 - 210 000$
Формат работы
remote (только USA)/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

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TL;DR

Senior Machine Learning Platform Engineer (MLOps): Building and scaling the end-to-end machine learning infrastructure to productionize core ML capabilities with an accent on real-time inference, feature stores, and MLOps. Focus on designing low-latency services for real-time decisions and implementing automated retraining pipelines to ensure model reliability.

Location: Remote (Must be based in the US); Atlanta, GA preferred.

Salary: $160,000 – $210,000

Company

hirify.global is a leading Daily Fantasy Sports platform specializing in sports leagues and Esports.

What you will do

  • Design and build end-to-end ML infrastructure to transition experimental models into high-availability production services.
  • Develop low-latency inference services (<100ms) for real-time oddsmaking and risk analysis.
  • Lead the creation and optimization of a centralized feature store for diverse business domains.
  • Implement MLOps best practices, including CI/CD for ML, automated retraining pipelines, and observability.
  • Collaborate with the Infrastructure team to build core components for training and experimentation.

Requirements

  • 5+ years of experience in Platform Engineering with a track record of deploying scalable ML platforms.
  • 2+ years of end-to-end ownership of production ML systems, including on-call response.
  • Proficiency in streaming architectures (Kafka, Flink, PubSub) and low-latency service development.
  • Deep experience with SageMaker, VertexAI, Vector DBs, Graph Databases, Redis, or Elasticsearch.
  • Expertise in Python and containerization (Docker, Kubernetes).
  • Must be authorized to work in the U.S. without sponsorship.

Nice to have

  • Proficiency in Go, C++, or Rust.
  • Background in Daily Fantasy Sports (DFS), oddsmaking, or high-frequency trading.
  • Experience enabling self-service for ML/Data Science teams.
  • Experience with AI agents and AI coding for iterative development.

Culture & Benefits

  • Competitive compensation with annual bonuses and company-matched 401(k).
  • Comprehensive medical, dental, and vision plans.
  • Flexible PTO and generous paid leave, including 16-week paid parental leave.
  • Workplace flexibility and modern schedules focused on results over hours.
  • Company-provided equipment (Windows or Mac).

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