Top Machine Learning Jobs in Milan

The Generative AI Engineer will define strategies for Generative AI, design and build innovative products, and mentor engineers, focusing on AI transformation for financial services clients.

The Account Executive will drive new business by selling SaaS solutions to Managed Service Providers in the Nordics, managing the full sales cycle, and achieving revenue targets.

Design and implement AI solutions, collaborate with clients to understand requirements, lead development of machine learning models, and support presales activities.

The Junior Research & Data/AI Engineer will support applied research, develop models, maintain data pipelines, and collaborate with teams on financial products.

The AI Senior Business Consultant leads AI-driven strategies in the Financial Services sector, translating business challenges into AI solutions and guiding organizational transformations through insights and collaboration with stakeholders.

As an AI Business Consultant, you will drive AI adoption strategies, analyse industry trends, and facilitate transformation initiatives for clients across various sectors.

As an AI Senior Business Consultant, you will leverage AI technologies to drive strategic business opportunities, analyzing trends, and facilitating AI-driven transformations across multiple industries.

As an AI Business Consultant, you will identify AI opportunities, translate business challenges into AI solutions, and support digital transformation strategies in the Financial Services industry.

Kelkoo Group seeks motivated individuals for spontaneous applications in areas like Data, Finance, Marketing, Operations, and Sales. Join a multicultural team and shape opportunities in a dynamic environment.

The Applied Scientist will solve impactful problems using deep learning models and statistical analysis, translating commercial goals into technical solutions.

The VP Analyst will provide insights on AI and application services to C-level clients, conduct research, develop content, and deliver strategic advisory sessions. They will leverage broad industry experience and technical knowledge in AI technologies and application stacks.

The Senior Director leads AI transformation in procurement, creating research content, offering actionable insights, and collaborating to drive strategy and change management.

Drive digital transformation in finance by analyzing processes, designing automation solutions, and collaborating with IT on AI implementations.

The Data Scientist will solve real-world problems using data science, design data pipelines, implement algorithms, and collaborate across departments, with a focus on producing high-quality, maintainable code.

Design, implement, and maintain automation and Threat Intelligence infrastructure. Build ML models and contribute to MLOps pipelines, CI/CD, model packaging, deployment support, and observability. Collaborate with engineers to secure OT/IoT environments and support production ML systems.

Lead the LLM team to architect, train, and deploy AI models, optimizing real-time user experiences and creating advanced moderation systems.

As a Founding Data and ML Engineer, you will design scalable data pipelines, develop AI/ML models, and enhance product performance through applied AI techniques.

The Principal Solutions Consultant will drive technical sales processes, work with enterprise customers, and deliver tailored demos while collaborating with internal teams to optimize business planning using AI solutions.

Responsible for developing backend AI features, integrating machine learning models, building data pipelines, and maintaining AI services within a retail ecosystem.

The Pricing Advisory professional will assist clients in enhancing pricing strategies through consultation, model development, implementation support, and training sessions, while managing stakeholder relationships and navigating challenges in pricing sophistication.

As a Machine Learning Engineer, you will develop AI-driven solutions, manage data pipelines, and implement machine learning models for retail applications while collaborating with various teams.

As a Senior Machine Learning Engineer, you will design and deploy AI models, work on data pipelines, and enhance AI-driven retail solutions through collaboration with various teams.

As a Senior Machine Learning Engineer, assist in developing computer vision and deep learning algorithms, improve document information extraction, mentor team members, and drive project quality improvements.

Internship focuses on Machine Learning Engineering with tracks in AI for financial services and Computer Vision for pharma. Interns will build models, create APIs, and deploy applications while collaborating with experienced engineers.

The role involves building scalable ML models, mentoring engineers, translating business requirements into specs, and ensuring solutions meet performance constraints.