Job Description
At Boeing, we innovate and collaborate to make the world a better place. From the seabed to outer space, you can contribute to work that matters with a company where diversity, equity and inclusion are shared values. 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 MLOps engineer based in Seoul, South Korea. The selected person will develop algorithms, models, systems, and a machine-learning operation (MLOps) pipeline for our research projects focused on autonomy for fixed, rotary, and tilted-rotor wing planes. Software development will include data integration and model processing modules into the fully functional pipeline.
Work Location : ASEM Tower (Samsung-dong)
Job Responsibilities
You will be responsible for designing, implementing, and maintaining AI-driven solutions to automate and optimize application performance monitoring.
Develops and maintains architectures, pipelines, algorithms, interfaces, models, and code for an MLOps pipeline.
Collaborate with data scientists and ML engineers to operationalize machine learning models, establish model performance metrics, and implement model versioning, testing, and validation processes.
Develop scalable, resilient, and secure cloud-based and on-premises infrastructure components to support AI-driven applications and services.
Utilizes modern object-oriented computer programming techniques and agile programming methodologies to develop software in delivered Boeing systems.
Implement observability solutions to monitor, analyze, and optimize application performance, infrastructure utilization, and user experience.
Stay updated on emerging trends and advancements in AI, machine learning, MLOps, DevOps, and Full Stack development, and evaluate new technologies for potential adoption.
Works as a member of the International team with the members in one or more countries where English is the common language.
Basic Qualifications (Required Skills/Experience)
Experience in ML model serving through APIs in web servers
Proven experience (X years) in AIOps, MLOps, DevOps, or Full Stack development roles, with a focus on automation, infrastructure management, and software engineering.
Strong proficiency in programming languages such as Python, Java, JavaScript, or Go, and experience with frameworks/libraries such as Flask, Django, React, Angular, etc.
Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP), and proficiency in cloud-native services and technologies.
In-depth knowledge of MLOps principles, machine learning frameworks (e.g., TensorFlow, PyTorch), DevOps practices, CI/CD pipelines, and infrastructure-as-code tools.
Familiarity with containerization technologies (e.g., Docker, Kubernetes) and microservices architecture.
Experience with monitoring and observability tools such as Prometheus, Grafana, ELK stack (Elasticsearch, Logstash, Kibana), New Relic, Datadog, etc.
Strong analytical and problem-solving skills, with the ability to troubleshoot complex issues and implement effective solutions.
Excellent communication and collaboration skills, with the ability to work effectively in a fast-paced, dynamic environment.
Relevant certifications such as AWS Certified DevOps Engineer, TensorFlow Developer Certificate, or similar credentials are a plus
Applicants must have the enthusiasm to learn new technologies and share them with others
This role requires creativity, critical thinking, and troubleshooting skills
Proper English communication skills in verbal and written
Preferred Qualifications (Desired Skills/Experience)
Advanced degree (e.g. Bachelor, Master, PhD. etc. in Engineering, Computer Science or related field) preferred, but not required.
Nice to have field experience on develop and execute manufacturing projects using machine learning techniques to optimize manufacturing processes, reduce downtime, and improve quality.
Experience in building a large-scale system
Good to have in-depth knowledge in server-side frameworks or libraries such as Databases (MySQL, PostgreSQL, etc), Flask/FastAPI, Kubeflow/BentoML, MLflow, RabbitMQ, Redis, etc
Good to have in-depth knowledge in server engineering like resource management on multi-GPUs over multiple servers
Nice to have your git repository shared with well-organized projects inside
This is for an international, locally hired position. Candidates must be legally authorized to work in the country where the position is located. Benefits and pay are determined at the local level and are not on Boeing US-based payroll.
Boeing gives additional scores to eligible candidates for job positions who are classified as veterans or persons of disability according to applicable laws.
Boeing Korea has officially been certified as a “Best Family Friendly Management” company by the Republic of Korea Ministry of Gender Equality and Family.
Equal Opportunity Employer:
We are an equal opportunity employer. We do not accept unlawful discrimination in our recruitment or employment practices on any grounds including but not limited to; race, color, ethnicity, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military and veteran status, or other characteristics covered by applicable law.
We have teams in more than 65 countries, and each person plays a role in helping us become one of the world’s most innovative, diverse and inclusive companies. We are proud members of the Valuable 500 and welcome applications from candidates with disabilities. Applicants are encouraged to share with our recruitment team any accommodations required during the recruitment process. Accommodations may include but are not limited to: conducting interviews in accessible locations that accommodate mobility needs, encouraging candidates to bring and use any existing assistive technology such as screen readers and offering flexible interview formats such as virtual or phone interviews.