Top Machine Learning Jobs in Milan

As a Senior Generative AI Engineer, your role involves defining the strategy for Generative AI, developing innovative AI products, and managing the Data Analytics and AI team. You'll address business problems using Generative AI and educate the organization on its application, while ensuring alignment with client needs.

As a Generative AI Engineer, you will define strategies for Generative AI, lead the design and development of innovative AI products, and mentor engineers. You will address critical business problems using Generative AI and educate both IT and business teams on its applications.

As a Senior ML Engineer, you will lead the development of the company's computer vision capabilities, managing data labeling, building ML training pipelines, and ensuring models are deployed and maintained effectively to support key client features.

Empatica seeks a Data Scientist to develop digital biomarkers through signal processing and machine learning techniques. Responsibilities include analyzing data, driving R&D initiatives, and coordinating clinical studies. The ideal candidate will have a passion for science, navigate complex challenges, and contribute to impactful healthcare solutions.

The Research Engineer at Autodesk will lead engineering projects focused on data acquisition, processing, and experimentation to build ML-powered product features. This role involves organizing diverse datasets into unified formats suitable for machine learning while collaborating closely with researchers. Responsibilities include developing pipelines, conducting experiments, and ensuring data compliance.

The Engineering Manager will lead a cross-functional team of engineers and data scientists focused on improving translations using AI and ML. Responsibilities include managing the technical roadmap, mentoring team members, ensuring best practices in software development, and collaborating with product management to meet business goals.

The Product and Proposition Manager will oversee the complete product lifecycle from ideation to market launch, focusing on AI propositions using traditional and alternative data to improve insights. The role involves collaboration with various teams and requires a customer-centric approach to managing product evolution and scaling.

As an Engineering Manager, you will lead multiple product teams focused on vegetation management and data ingestion by managing a team of engineers. You will foster a collaborative environment, provide support and coaching, make strategic technical decisions, and improve engineering practices while aligning with product managers' goals.