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Senior Software Engineer – Machine Learning (W/M/NB)

Posted 2024-11-13

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💎 Seniority level: Senior

📍 Location: France

🔍 Industry: Video Games

🗣️ Languages: English

🪄 Skills: AWSPythonKubernetesMachine LearningAzureData engineeringRustCommunication SkillsCollaborationDevOpsMicroservices

Requirements:
  • Experience in Software/Data engineering or a related field.
  • Solid experience with Python or Rust.
  • Experience with REST APIs and microservice architecture principles.
  • Familiarity with cloud technologies, Kubernetes, AWS/Azure.
  • Knowledge of Machine Learning and Deep Learning.
  • Experience deploying models to production.
  • Good communication skills and collaborative ability.
Responsibilities:
  • Take ownership over projects and drive them forward.
  • Design, prototype, build, and maintain microservices & APIs.
  • Build data pipelines and batch processes.
  • Manage scalable infrastructure in the cloud.
  • Participate in platform quality improvements.
  • Engage in proof-of-concept projects for new technologies.
  • Write high-quality code utilizing modern MLOps practices.
  • Collaborate with data and machine learning engineers to deploy models.
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🔥 Senior Software Engineer – Machine Learning (W/M/NB)
Posted 2024-11-13

📍 Saint Mandé, France

🔍 Video games

  • Experience in Software/Data engineering or a related field with solid experience in Python or Rust.
  • Experience building and interacting with REST APIs.
  • Familiarity with microservice architecture and API design principles.
  • Previous experience using cloud technology, Kubernetes, AWS/Azure.
  • Ability to navigate between big picture and micro details.
  • Good communication skills for collaboration.
  • Knowledge of Machine learning and Deep Learning.
  • Experience deploying models to production.
  • Experience in Databricks, DevOps, and Big Data Processing is a plus.

  • Take ownership over the projects you build and push them ahead.
  • Design, prototype, build and maintain microservices & APIs that deliver data and models.
  • Build pipelines and batch processes that move and transform data.
  • Manage a scalable infrastructure in the cloud.
  • Participate in decisions to improve platform quality.
  • Engage in proof-of-concept projects for new data and ML technologies.
  • Write, optimize, and produce high quality code using modern best practices.
  • Collaborate with data and machine learning engineers to deploy models to production.

AWSPythonKubernetesMachine LearningAzureData engineeringRustCommunication SkillsCollaborationDevOpsMicroservices

Posted 2024-11-13
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