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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. 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 Responsibility:
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
Requirements:
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
Nice to have:
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
What we offer:
Competitive base pay and incentive programs
Industry-leading tuition assistance program pays your institution directly
Resources and opportunities to grow your career
Up to $10,000 match when you support your favorite nonprofit organizations
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