Software Engineer
Core
Building efficient and scalable ML pipelines, frameworks, and tooling for real-time production systems to monitor and analyze aircraft turnaround processes.
Role type
Senior IC machine-learning engineer (infrastructure & pipelines)
Builds
Scalable ML pipelines, inference software infrastructure, and internal tooling for model training and postprocessing.
Domain
Aviation / Computer Vision / Real-time Systems
Deliverable
production ML models | infrastructure
Required skills
Python, system design, Docker, Kubernetes, SQL, NoSQL, message brokers, web frameworks (Django/FastAPI), LLM tools for coding
Preferred skills
Experience with Django, PostgreSQL, MongoDB, Redis, Celery, Triton Inference Server, GitLab CI, ML domain knowledge
Technologies
Python, Docker, Kubernetes, SQL, NoSQL, Django, FastAPI, PostgreSQL, MongoDB, Redis, Celery, Triton Inference Server, GitLab CI
Responsibilities
Develop and maintain backends and tooling for internal ML customers; Work with ML researchers to adopt and optimize experimental pipelines; Maintain and optimize inference software infrastructure; Participate in architecture discussions and communicate with other teams.
Seniority
Senior, hands-on IC