ppbTXT e-Tech /b, part of the TXT Group, is seeking a Software Developer for its bAerospace Aviation /b division to work on projects focused on the design and development of solutions based on bMachine Learning and Deep Learning /b models 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. /ph3Key Responsibilities /h3ulliDevelopment, training, validation, and integration of machine learning and deep learning models; /liliValidation, optimization, and testing of developed models; /liliConstruction and maintenance of end-to-end training and inference pipelines; /liliIntegration of ML models into the rest of the application architecture; /liliMaintenance and evolution of existing ML components /liliAnalysis of the software architecture and requirements management. /li /ulh3Required technical skills /h3ulli1–2 years of proven work experience in a similar role; /liliExperience with PyTorch (or equivalent deep learning frameworks), including neural networks; /liliExperience with NumPy; /liliExperience building training and inference pipelines; /liliGood knowledge of Python for backend development (e.g., FastAPI, Flask, Django); /liliExperience designing and integrating APIs (REST,
gRPC); /liliGood knowledge of relational (PostgreSQL) and non-relational (Mongo) databases; /li /ulh3Nice to have /h3ulliStrong knowledge of JavaScript; /liliFamiliarity with front-end frameworks (React); /liliFamiliarity with Linux systems and key administration tools; /liliExperience with Docker; /liliFamiliarity with Kubernetes for orchestration and deployment in cloud environments. /li /ulh3Education /h3pBachelor’s and/or Master’s degree in Computer Science or Computer Engineering. /ph3What We Offer /h3ulliThe contract offered for this position is a permanent one, and the salary range for this position is between EUR 29.000 € and EUR 34.000 € gross per year. /liliThe grading/level will be defined during the selection process based on the candidate's profile and in accordance with the National Collective Labor Agreement /liliStructured onboarding, mentoring, and continuous learning opportunities. /liliExposure to cutting-edge projects in Aerospace, Defense. /liliA collaborative, innovative, and fast-growing technology environment. /li /ulpThis position is open to applicants of all genders in accordance with Italian Legislative Decree 198/2006. The company promotes equal opportunities and values diversity in all its forms. /p /p #J-18808-Ljbffr
📌 Machine Learning Engineer (Torino)
🏢 TXT GROUP
📍 Torino
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