Machine Learning Engineer
Pubblicato il 11-09-2026 - Nivara in Torino
Nivara is a B2B Generative AI scale-up pioneering at the intersection of Privacy and Artificial Intelligence. We specialize in Local Artificial General Intelligence (LAGI®) models, delivering privacy-first AI solutions that tackle some of today’s most pressing challenges. With a focus on innovation, security, and trust, we are building a safer, brighter future — and we seek visionaries ready to shape it with us.
Our mission is to lead in tailored AI solutions that empower organizations to control their data and operate autonomously. By embedding Human Factors Engineering and Ethical AI into every solution, we deliver intuitive, compliant, and ethically aligned technology. Focused on the B2B sector, we are committed to expanding our presence across diverse market verticals with specialized offerings.
We are looking for an experienced and highly confident Senior Machine Learning Engineer to lead the design, development, and deployment of advanced AI systems.
You will take ownership of complex machine learning projects from experimentation to production,
influence technical architecture, and help define engineering standards across the team. This role is suited to someone with strong technical judgement, extensive production experience, and the confidence to make high-impact decisions independently.
Build and scale reliable, enterprise-grade machine learning systems.
Turn advanced research and prototypes into production-ready solutions.
Improve model performance, scalability, security, and cost efficiency.
Provide technical leadership across machine learning projects.
Strengthen engineering standards through mentoring and design reviews.
Design, train, evaluate, and deploy deep learning and generative AI models.
Own complex ML initiatives from initial definition through production monitoring.
Build scalable data, training, inference, and evaluation pipelines.
Diagnose model degradation, data drift, performance, and reliability issues.
Collaborate with rese