Aerospace ML Engineer — Deep Learning & Pipelines

TXT GROUP; Torino; In loco; EUR 25.000 - 30.000; Tempo pieno

Vantaggi offerti da questo lavoro

Health insurance

Welfare benefits

Ticket Restaurant

Employee discounts

Descrizione del lavoro

TXT e-Tech, part of the TXT Group, is seeking a Software Developer for its Aerospace & Aviation division to work on ML/DL solutions for a major client in the industry. The selected candidate will be involved in all phases of the software development lifecycle, working within a structured, quality-oriented technical environment.

Responsibilities include developing, training, validating and integrating ML models, optimizing tests, and maintaining ML components, with emphasis on robust software

Competenze

• Bachelor’s or Master’s degree in Computer Science or Computer Engineering is required.
• Strong knowledge of PyTorch and NumPy. Understanding of building training and inference pipelines.
• Experience with relational PostgreSQL and non-relational MongoDB databases.
• Familiarity with Linux environments and software development best practices.

Mansioni

• Development, training, validation, and integration of machine learning and deep learning models.
• Validation, optimization, and testing of developed models.
• Maintenance and enhancement of existing ML components.
• Software architecture analysis and requirements management.

Conoscenze

PyTorch

NumPy

training pipelines

PostgreSQL

MongoDB

Formazione

Bachelor’s or Master’s in Computer Science or Computer Engineering

Strumenti

Docker

Descrizione del lavoro

TXT e-Tech, part of the TXT Group, is seeking a Software Developer for its Aerospace & Aviation division to work on ML/DL solutions for a major client in the industry. The selected candidate will be involved in all phases of the software development lifecycle, working within a structured, quality-oriented technical environment.

Responsibilities include developing, training, validating and integrating ML models, optimizing tests, and maintaining ML components, with emphasis on robust software