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11 дней назад

Senior Machine Learning Engineer (AI)

Тип работы
fulltime
Грейд
senior
Английский
b2
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 Machine Learning Engineer (AI) (Python/ML): Building large-scale machine learning serving architectures, streaming pipelines, and AI systems for real-time personalization impacting millions of users with an accent on production infrastructure, GenAI integration, and high-throughput inference. Focus on transforming data science prototypes into resilient services, developing AI agents and internal tooling, and implementing observability for production ML systems.

Company

hirify.global develops mobile games enjoyed by millions of players worldwide, combining large-scale operations with startup-style speed and ownership.

What you will do

  • Design, build, and maintain large-scale ML serving architectures for real-time personalization and other AI systems.
  • Transform data science prototypes into resilient, production-ready infrastructure and integrate algorithms and GenAI models into production.
  • Develop streaming pipelines supporting continuous model inference and training workflows.
  • Build and maintain AI agents and internal tools for AI-driven development workflows.
  • Implement observability, distributed tracing, and alerting for production ML systems.
  • Collaborate with data scientists, product managers, architects, and engineering teams on strategic projects.

Requirements

  • BSc or MSc in Computer Science, Engineering, or a related technical field.
  • 5+ years of experience as an ML Engineer, Backend Engineer, or in a similar role delivering scalable production solutions.
  • High proficiency in Python and modern API development with FastAPI and Pydantic.
  • Hands-on experience with streaming and data processing workloads using Apache Kafka, PySpark, Airflow, MLflow, or Kubeflow.
  • Experience deploying containerized applications with Docker and Kubernetes and using model-serving frameworks.
  • Self-directed learning ability, enthusiasm for innovative technologies, and effective collaboration across business and technical functions.

Nice to have

  • Production experience with personalization architectures, recommendation systems, or reinforcement learning models.

Culture & Benefits

  • Work in a global mobile gaming company where innovation, data, and creativity shape entertainment products.
  • Opportunity to influence products and participate in strategic technical decision-making.
  • Collaboration across global studios and cross-functional teams.
  • Growth support in an environment combining public-company scale with startup-style ownership.

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