Machine Learning Engineer
Air Space IntelligenceAerospace AI company
Gdańsk, PolandSenior
Andreessen Horowitz
Spark Capital
Bloomberg Beta
IVP
Renegade Partners
Helium-3 Ventures
Data & AI
About the role
TL;DR
Design and deploy production-grade systems integrating machine learning models.
- •Join Air Space Intelligence to design and deploy production-grade systems that integrate machine learning models into scalable software pipelines.
- •Key Responsibilities Design and deploy production-grade systems integrating machine learning models.
- •Develop and ship features leveraging ML to solve optimization and prediction problems.
- •Work with modern infrastructure like Kubernetes, AWS, and MLOps tooling.
- •Requirements Proficiency in Python and experience with production ML tooling and frameworks.
- •Experience using LLMs in production environments.
- •Strong understanding of data structures, algorithms, and software engineering best practices.
Required skills
PythonTensorFlowscikit-learnKubernetesAWSMLflow
Nice-to-have skills
LLMsPyTorch
Benefits & perks
Flexible Working Hours, Premium Healthcare and Health Insurance, Competitive Salary & Equity, Generous relocation package, Flexible Time Off, Office, Equipment & Tools
Tech stack
PythonTensorFlowPyTorchscikit-learnLLMsKubernetesAWSMLflow