Top Machine Learning Jobs in Rome
The Product Owner at Lansweeper is responsible for planning, executing, and delivering high-impact technical products in areas like analytics, reporting, data science, and AI. This role involves aligning technical vision with business goals, prioritizing projects, and managing collaboration between engineering and product teams.
The Product and Proposition Manager will lead the product life cycle from ideation to launch, focusing on AI propositions. Responsibilities include managing product evolution, creating business cases, and enhancing client engagement. This role requires collaboration with various teams and a creative mindset to grow services in an evolving market.
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.
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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