Machine Learning Engineer (Full Time, Ibrido, Treviso)

Location: Spresiano (TV) – Presenza richiesta almeno 3 giorni a settimana

Contract type: Tempo pieno, inserimento immediato su progetti reali

Level: Middle o Junior con potenziale – anche da formare

Title: Machine Learning Engineer (Junior/Middle)

About the role

In Chiron, we build AI and marketing intelligence solutions that affect businesses and startups. This position is for a Machine Learning Engineer, suitable for junior or senior candidates, immediately working on real projects covering classic ML models, generative systems, xAI, and intelligent automations in marketing, retail, eCommerce, and CRM.

Responsibilities

• Design and develop machine learning models (NLP, recommender systems, predictive analytics).
• Train, fine-tune, and optimize models, including large language models and diffusion models.
• Build end-to-end pipelines from preprocessing to deployment.
• Integrate ML solutions into Chiron products with the development team.
• Contribute to R&D strategies on AI, MLOps, and explainability.

Qualifications

• Native Italian speaker.
• Strong team collaboration and spirit of teamwork.
• Proactive, driven, and willing to learn in a high-intensity R&D environment.
• Aspiring to deliver results.
• Solid knowledge of Python, Scikit-learn, PyTorch, TensorFlow, HuggingFace.
• Strong fundamentals in supervised and unsupervised machine learning.
• Experience with SQL/NoSQL databases, ETL pipelines, and tools such as PySpark, Airflow, MLFlow.
• Interest in explainable AI and experimentation.
• Familiarity with MLOps concepts.
• Experience with large language models and associated frameworks (LangChain, RAG).
• Knowledge of cloud platforms (AWS, GCP, Azure).
• Experience with ClickHouse or Neo4j.
• Ability to build APIs (FastAPI, Flask, Django).

Benefits & work arrangement

• Real projects in production from day one.
• Structured technical training, mentorship, and continuous learning.
• Work on R&D projects involving generative AI and explainable AI.
• Direct collaboration with CTO and experienced team, growth opportunities.
• Hybrid mode: 3 days in-office, 2 days remote.
• Net salary 18K–28K annually, performance-based increases.
• Clear career progression from junior to senior engineer or specialization in xAI, MLOps, or LLM/agent systems.

Selection process

• Initial interview.
• Technical test (hard skills – ML exercise or coding).
• Technical interview with team and CTO.