Top Machine Learning Jobs in Rome

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.

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.

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.

As an Engineering Manager, you will work as a Senior Software Engineer and manage a group of engineers, developing AI-powered architecture design products while fostering team growth. You will engage in technical work, collaborate as part of product teams, and help build a solution-focused culture within the organization.

As VP of Technology at Electra Vehicles, you will lead the development of innovative software solutions for battery technology, collaborate with the CEO on technical strategies, mentor high-performing teams, and drive research initiatives to stay ahead of industry trends.

The Product and Proposition Manager at Experian will oversee the full product cycle from idea to market launch, focusing on AI solutions. Responsibilities include collaborating with various teams, planning roadmaps, building business cases, and managing the go-to-market process. Customer interaction is key, particularly in delivering data-driven insights and propositions based on traditional and alternative data.

As a Senior ML Platform Engineer, you'll enhance the ML platform to support research teams, managing cloud infrastructure and tooling for data collection and model training. You will ensure seamless operations for researchers by maintaining and improving the infrastructure for GPU clusters in a cloud environment.