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.
The Product and Proposition Manager will oversee the entire product lifecycle and collaborate with various professionals to grow a portfolio of services in the AI sector. Responsibilities include managing go-to-market processes, building business cases, and enhancing client engagement models.
As a Staff Engineer at Overstory, you will lead the evolution of web tools for utility companies to manage climate risks. Your role involves addressing performance and scalability challenges, collaborating across teams, making critical technology decisions, and mentoring engineers to drive the company's mission forward.
As a Senior AI/ML Engineer at Upwork, you will develop machine learning models in the Search & Recommendations domain, analyze data to enhance model performance, and collaborate with business and engineering teams to drive impactful recommendations. Responsibilities include building efficient features, optimizing recommendation systems, and sharing insights with stakeholders.
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 Senior Machine Learning Engineer will lead the design and implementation of advanced machine learning models focusing on NLP and LLM technologies. Responsibilities include developing efficient data processing pipelines, performing large-scale data analysis, and collaborating with teams to optimize workflows in the education and research sector.
The Senior Product Manager will lead market research, analyze product performance, and communicate insights to stakeholders. They will collaborate with development teams to prioritize new features and ensure effective product positioning across cross-functional teams.
As a Presales AI/ML Engineer at Neptune, you'll be presenting the product capabilities to AI research and ML teams globally, crafting compelling narratives to accelerate their work and help them achieve AI breakthroughs.
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.
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As a Senior Software Engineer, you'll develop AI-powered architecture design tools, contributing to web-based 3D frameworks and cloud computing projects. You'll collaborate within a team, share knowledge, and mentor peers, focusing on delivering impactful solutions.
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.
As the Global Commercial Data Product Innovation Manager, drive the development of innovative, data-driven solutions to optimize commercial functions like sales, marketing, and operations. Lead research in emerging technologies such as Generative AI and machine learning, develop scalable applications, guide technical team members, promote data-driven decision-making, manage a small team, communicate insights to stakeholders, and contribute to thought leadership.
The Product Marketing Manager for Data and AI will develop marketing strategies and execute go-to-market plans for Canonical's open source applications. Responsibilities include leading content and campaign development, coordinating with teams, optimizing marketing funnels, and analyzing market positioning for enterprise IT products in AI and data sectors.
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