Experienced AI/MLOps Engineer

Experienced AI/MLOps Engineer

Company:

Boeing Korea LLC

About Us

At Boeing, we innovate and collaborate to make the world a better place. We’re committed to fostering an environment for every teammate that’s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.

Our Objectives

Boeing Korea Engineering and Technology Center (BKETC) is seeking a highly skilled and motivated AI/MLOps Engineer to join our cutting-edge research team. As an AI/MLOps Engineer, you will play a pivotal role in advancing the field of artificial intelligence and machine learning through innovative research, algorithm development , and the deployment and maintenance of machine learning techniques focused on aircraft manufacturing, factory digitalization, etc. Your work will have a direct impact on developing state-of-the-art AI/ML models and systems that address real-world challenges and push the boundaries of intelligent systems.

Job Responsibilities:

• Develop, deploy, and maintain ML pipelines, architectures, algorithms, and models
• Build software verification systems that comply with aviation safety requirements
• Work effectively within an international team using English communication

Basic Qualifications (Required Skills/Experience):

• Bachelor’s degree with 5 years’ related work experience or Master degree with 3 years’ related work experience or PhD in Engineering, Computer Science, or Mathematics
• In-depth knowledge of machine learning, data science and engineering
• Proficiency in multiple programming languages (e.g., Python, JavaScript, TypeScript, Golang)
• In-depth knowledge of Front-end framework (e.g., React, NextJS)
• In-depth knowledge of Back-end framework (e.g., FastAPI)
• In-depth knowledge of model deployment on infrastructure-agnostic environment (e.g., Kubernetes, Docker)
• In-depth experience with Cloud platform and service (e.g., AWS, Azure, GCP)
• In-depth experience with CI/CD tools (e.g., GitLab CI, Argo CD, Jenkins) and monitoring tools (e.g., Grafana, Prometheus)
• In-depth ML Model development (e.g., PyTorch, TensorFlow) and deployment experiences (e.g., ONNX)
• Effective verbal and written English communication skill

Preferred Qualifications (Desired Skills/Experience):

• Master’s, Ph.D., or equivalent in Engineering, Computer Science, or Mathematics
• In-depth experience with machine learning frameworks (e.g., TensorFlow, Keras, PyTorch)
• In-depth knowledge of system frameworks (e.g., Kubeflow, MLflow)
• Participation in software competitions and well-organized public code repositories are a plus

Job Responsibilities:

• 머신러닝 파이프라인, 아키텍처, 알고리즘 및 모델을 개발, 배포 및 유지보수
• 항공 안전 요구사항을 준수하는 소프트웨어 검증 시스템 구축
• 영어 소통을 통해 국제 팀 내에서 효율적으로 협업

Basic Qualifications (Required Skills/Experience):

• 학사 학위 소지자 (관련 경력 5년 이상) 또는 석사 학위 소지자 (관련 경력 3년 이상) 또는 공학, 컴퓨터 과학, 수학 분야 박사 학위 소지자
• 머신러닝, 데이터 과학 및 엔지니어링에 대한 깊은 이해
• 다양한 프로그래밍 언어 활용 능력 (예: Python, JavaScript, TypeScript, Golang)
• 프론트엔드 프레임워크에 대한 깊은 이해 (예: React, NextJS)
• 백엔드 프레임워크에 대한 깊은 이해 (예: FastAPI)
• 다양한 인프라 환경 모델 배포에 대한 풍부한 경험 (예: Kubernetes, Docker)
• 클라우드 플랫폼 및 서비스에 대한 풍부한 경험 (예: AWS, Azure, GCP)
• CI/CD 도구 (예: GitLab CI, Argo CD, Jenkins) 및 모니터링 도구 (예: Grafana, Prometheus)에 대한 풍부한 경험
• 머신러닝 모델 개발 (예: PyTorch, TensorFlow) 및 배포 경험 (예: ONNX)
• 효과적인 영어 구사 및 문서 작성 능력

Preferred Qualifications (Desired Skills/Experience):

• 공학, 컴퓨터 과학 또는 수학 분야 석사, 박사 학위 또는 이와 동등한 자격
• 머신러닝 프레임워크에 대한 깊은 경험 (예: TensorFlow, Keras, PyTorch)
• 시스템 프레임워크에 대한 깊은 이해 (예: Kubeflow, MLflow)
• 소프트웨어 경진대회 참여 경험 및 체계적으로 관리된 공개 코드 저장소 보유

Language Requirements:

Not Applicable

Education:

Not Applicable

Relocation:

Relocation assistance is not a negotiable benefit for this position.

Security Clearance:

This position does not require a Security Clearance.

Visa Sponsorship:

Employer will not sponsor applicants for employment visa status.

Contingent Upon Award Program

This position is not contingent upon program award

Shift:

Not a Shift Worker (Korea, Republic of)