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обновлено 12 дней назад

AI Software Engineer

Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
Singapore
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
AI Software Engineer (AI/ML, MLOps): Designing, deploying, and optimizing scalable AI-powered systems with an accent on production model integration, APIs, containerization, and cloud and edge infrastructure. Focus on building real-time and batch AI pipelines, implementing CI/CD and monitoring, and meeting performance, latency, and availability requirements.

Location: Singapore office; up to one work-related trip per year

Company

Razer is a global gaming company focused on developing products and technologies for gamers.

What you will do

  • Design, develop, and deploy AI-powered solutions and scalable AI systems.
  • Integrate and optimize AI/ML models in production using Docker, Kubernetes, RESTful APIs, gRPC, and edge computing.
  • Build secure, performant, and well-documented APIs, microservices, and AI plugins.
  • Develop high-performance AI pipelines for real-time and batch processing.
  • Implement MLOps practices, including CI/CD, monitoring, logging, and error handling.
  • Collaborate with data scientists, software engineers, DevOps teams, and cloud engineers to productionize research models.

Requirements

  • 3+ years of experience in AI/ML software development and a proven record of deploying AI solutions to production.
  • Strong programming skills in Python, Java, or C++.
  • Experience with TensorFlow, PyTorch, or Scikit-learn.
  • In-depth knowledge of Docker, Kubernetes, DevOps practices, cloud infrastructure, and Infrastructure as Code with Terraform.
  • Experience with edge and cloud AI deployment, including TensorRT, ONNX, TFLite, AWS SageMaker, Google Vertex AI, or Azure ML.
  • Bachelor’s or Master’s degree in computer science, AI, or a related discipline; strong written and verbal communication skills.

Nice to have

  • Experience with SQL, NoSQL, and vector databases.
  • Knowledge of distributed computing and parallel processing with Spark or Dask.

Culture & Benefits

  • Work across a global team spanning five continents.
  • Fast-paced, high-pressure, agile working environment.
  • Opportunity to work on gaming-focused AI products and technologies.

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