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 (역량 검사) ▶2차 면접 (실무 면접) ▶ 처우 협의 ▶ 최종 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 ~ 11시)
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 (역량 검사) ▶2차 면접 (실무 면접) ▶ 처우 협의 ▶ 최종 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 ~ 11시)
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.