Top Machine Learning Jobs in Milan

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.

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

Lead the Discover engineering team to develop a recommendation engine for a new marketplace, focusing on machine learning systems and user experience.

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 Data Scientist will solve real-world problems utilizing data science techniques and build end-to-end data pipelines, collaborating with multiple teams to deliver solutions.

The Sanctions Specialist ensures compliance with financial sanctions, manages investigations and escalations, and collaborates on risk management frameworks to prevent financial crime.

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.

As a Senior Solutions Engineer at Cloudera, you'll manage the technical sales process, support customer needs, design solutions, and present Cloudera's products while collaborating with account managers and advocating for customer needs.

The Performance Engineer optimizes AI systems by benchmarking, profiling, and enhancing inference workloads for improved performance and resource efficiency.

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.

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

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.

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.

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

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.

Develop and maintain AI and ML algorithms, create data pipelines, collaborate with cross-functional teams, and implement solutions for business requirements.

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.

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

Nebius seeks a Senior ML Engineer for AI R&D focusing on applied research in reinforcement learning and agent training, requiring deep expertise in machine learning and software engineering.

As an AI/ML Specialist Solutions Architect, you will design scalable AI solutions, manage AI deployments, and collaborate with clients to enhance customer satisfaction.

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

Design and build Python-based AI applications, optimise performance and storage, implement CI/CD and testing, collaborate with clients and distributed teams, and support technical leads to deliver scalable, production-grade solutions.