AI/MLOps Engineer at Boeing

Seoul, , South Korea -

Full Time

Start Date

Immediate

Expiry Date

20 Mar, 26

Salary

0.0

Posted On

20 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Data Science, Python, JavaScript, TypeScript, Golang, React, NextJS, FastAPI, Kubernetes, Docker, AWS, Azure, GCP, GitLab CI, Argo CD, Jenkins

Industry

Aviation & Aerospace

Description

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 Applicable and appropriate educational/certification credentials from an accredited institution and/or equivalent experience is required. Language Requirements: Not Applicable Education: Bachelor's Degree or Equivalent 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) You can do work that enables all of humanity to take flight. Our teammates in more than 65 countries grow their careers across commercial airplanes, space, defense, sustainability and other areas. Here, you can contribute to what matters most in your career, in your community and around the world. Find answers to questions about applying, interviews, benefits, and more on FAQ page Boeing is committed to providing reasonable accommodations/adjustments to applicants with disabilities. Visit our accommodations page for more info.

Responsibilities

The AI/MLOps Engineer will develop, deploy, and maintain machine learning pipelines, architectures, algorithms, and models. They will also build software verification systems that comply with aviation safety requirements.