[ATI]MLOps Engineer
Job GroupSoftware Engineer
Experience LevelExperienced 5 years or more
Job TypesFull-time
Locations대한민국 서울특별시 강남구 언주로 609, PAX TOWER

이런 분과 함께하고 싶습니다!


| 담당업무

  • Design, implement, and maintain ML pipelines for continuous integration, delivery, and deployment of machine learning models using Azure AI Studio and Vertex AI
  • Collaborate with Data Scientists and Software Engineers to operationalize machine learning models and embed them into production environments
  • Monitor and manage the performance of deployed models, ensuring they meet or exceed operational and business metrics
  • Implement automated testing and validation of ML models to ensure accuracy, reliability, and robustness.
  • Stay abreast of the latest developments in MLOps, Azure AI Studio, Vertex AI, and related technologies to continuously improve our processes and solutions
  • Ensure compliance with data privacy, security standards, and best practices in deploying and managing ML models
  • Provide technical leadership and mentorship in MLOps practices to team members


| 지원자격

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
  • Proven experience in MLOps, DevOps, or software engineering, with a focus on machine learning model deployment and management
  • Proficiency in Python, and familiarity with ML frameworks (TensorFlow, PyTorch, etc.) and containerization technologies (Docker, Kubernetes)
  • Excellent problem-solving skills, with the ability to work in a fast-paced, dynamic environment
  • Strong communication and collaboration skills, with the ability to engage effectively with both technical and non-technical stakeholders


| 우대사항

  • Solid understanding of cloud computing, particularly Azure and GCP and experience with infrastructure as code
  • Strong expertise in Azure ML/AI Studio and Vertex AI platforms, along with experience in building and maintaining ML pipelines


합류 여정과 근무형태는 다음과 같습니다!


| 전형 절차

1차 면접 (영상 면접)2차 면접 (실무 면접)처우 협의최종 합격


| 연봉 및 근무형태

  • 연봉 : 개별 협의
  • 근무형태 : 정규직 (시용 3개월 종료 후, 정규직 전환 가능 대상 / 정규직 급여와 동일)
  • 근무시간 : 선택적 근무제 (출근시간 : 오전 9시 ~ 오후 1시)


지원하기 전 확인해주세요!


| 기타사항

  • 면접에 참석하시는 분께는 소정의 면접비를 지급해 드립니다.
  • 직군에 따라 필요 시, 전형 절차는 변경 될 수 있습니다. (코드테스트, 실무과제 등) 
  • NSUSLAB의 최종 합격은 회사와 후보자 상호 간 처우협의가 최종 완료된 상태를 의미합니다.
  • 허위 사실이 발견 될 경우, 채용이 취소될 수 있습니다.
  • 해당 공고는 상시 채용으로, 채용 완료 시 조기 마감될 수 있습니다.
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[ATI]MLOps Engineer

이런 분과 함께하고 싶습니다!


| 담당업무

  • Design, implement, and maintain ML pipelines for continuous integration, delivery, and deployment of machine learning models using Azure AI Studio and Vertex AI
  • Collaborate with Data Scientists and Software Engineers to operationalize machine learning models and embed them into production environments
  • Monitor and manage the performance of deployed models, ensuring they meet or exceed operational and business metrics
  • Implement automated testing and validation of ML models to ensure accuracy, reliability, and robustness.
  • Stay abreast of the latest developments in MLOps, Azure AI Studio, Vertex AI, and related technologies to continuously improve our processes and solutions
  • Ensure compliance with data privacy, security standards, and best practices in deploying and managing ML models
  • Provide technical leadership and mentorship in MLOps practices to team members


| 지원자격

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
  • Proven experience in MLOps, DevOps, or software engineering, with a focus on machine learning model deployment and management
  • Proficiency in Python, and familiarity with ML frameworks (TensorFlow, PyTorch, etc.) and containerization technologies (Docker, Kubernetes)
  • Excellent problem-solving skills, with the ability to work in a fast-paced, dynamic environment
  • Strong communication and collaboration skills, with the ability to engage effectively with both technical and non-technical stakeholders


| 우대사항

  • Solid understanding of cloud computing, particularly Azure and GCP and experience with infrastructure as code
  • Strong expertise in Azure ML/AI Studio and Vertex AI platforms, along with experience in building and maintaining ML pipelines


합류 여정과 근무형태는 다음과 같습니다!


| 전형 절차

1차 면접 (영상 면접)2차 면접 (실무 면접)처우 협의최종 합격


| 연봉 및 근무형태

  • 연봉 : 개별 협의
  • 근무형태 : 정규직 (시용 3개월 종료 후, 정규직 전환 가능 대상 / 정규직 급여와 동일)
  • 근무시간 : 선택적 근무제 (출근시간 : 오전 9시 ~ 오후 1시)


지원하기 전 확인해주세요!


| 기타사항

  • 면접에 참석하시는 분께는 소정의 면접비를 지급해 드립니다.
  • 직군에 따라 필요 시, 전형 절차는 변경 될 수 있습니다. (코드테스트, 실무과제 등) 
  • NSUSLAB의 최종 합격은 회사와 후보자 상호 간 처우협의가 최종 완료된 상태를 의미합니다.
  • 허위 사실이 발견 될 경우, 채용이 취소될 수 있습니다.
  • 해당 공고는 상시 채용으로, 채용 완료 시 조기 마감될 수 있습니다.
Job GroupSoftware Engineer
Experience LevelExperienced 5 years or more
Job TypesFull-time
Locations대한민국 서울특별시 강남구 언주로 609, PAX TOWER
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