Aerospace AI Engineer: Ground Data Systems & ML Ops

ALTEC S.p.A.; Torino; In loco; EUR 30.000 - 35.000; Tempo pieno

Descrizione del lavoro

ALTEC S.p.A. is seeking an AI/ML engineer to develop and maintain software data systems for mission operations in aerospace. You will work with data engineers, software engineers, mission operators and infrastructure engineers to deliver end-to-end AI applications.

You will define and train ML models, validate performance, and document results, leveraging Python, ML frameworks, and MLOps practices to ensure robust data pipelines and scalable deployments within aerospace constraints.

Competenze

• You must have an MSc or equivalent in software or data science with high score.
• Practical experience designing, training, validating, and deploying ML/DL models.
• Experience with supervised, unsupervised and self-supervised paradigms and deep architectures.
• Experience with Python for software development and data pipelines.
• Experience with PyTorch, TensorFlow or Scikit-learn for ML/DL models.
• Familiarity with data frameworks (NumPy, Pandas, SciPy) and data management.
• Knowledge of MLOps, CI/CD for AI workflows, and model/versioning practices.

Mansioni

• Develop, implement and maintain software data systems for AI in aerospace.
• Collaborate with data engineers, software engineers, mission operators and infra engineers.
• Define, design, train, validate and document AI applications.
• Create innovative AI solutions using modern architectures and tools.

Conoscenze

ML/DL modeling

Python

Data pipelines

PyTorch/TensorFlow

MLOps

SQL/NoSQL

Linux scripting

Model evaluation

Formazione

MSc in software or data science

Strumenti

Docker

Kubernetes

Apache Spark

ONNX

CI/CD tools

Descrizione del lavoro

ALTEC S.p.A. is seeking an AI/ML engineer to develop and maintain software data systems for mission operations in aerospace. You will work with data engineers, software engineers, mission operators and infrastructure engineers to deliver end-to-end AI applications.

You will define and train ML models, validate performance, and document results, leveraging Python, ML frameworks, and MLOps practices to ensure robust data pipelines and scalable deployments within aerospace constraints.