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 Customer Success Engineer will act as a technical expert and advisor, ensuring customers adopt Deepgram's voice technologies effectively, manage customer relationships, conduct demos, and drive growth opportunities.

The Senior Director, Data Platforms and Engineering will lead the strategy and execution of Pfizer's data engineering and platform initiatives, overseeing teams to drive innovation in data management and analytics. The role involves collaboration with internal and external stakeholders, scaling robust platforms, and fostering a culture of technical excellence and continuous improvement.

Join Welo Data as part of a global community focusing on data annotation and enhancing AI models with diverse linguistic expertise.

The EMEA Sales Leader will drive the company's expansion in the region, establish sales pipelines, develop partnerships, and oversee the sales team.

The Data and AI Specialist coordinates technical teams for AI projects, ensures compliance with Data Governance, and supports AI training across departments.

Lead a team of AI engineers to drive innovations in healthcare technology, focusing on NLP and ML methodologies, while contributing hands-on to development.

The Product Manager will lead the Market Intelligence team to translate digital asset data into actionable insights, drive product strategy, conduct market studies, and enhance Keyrock's services based on data-driven recommendations.

The role involves selling FICO's SaaS solutions, managing enterprise accounts, and collaborating with clients to drive sales growth in financial services.

Manage a portfolio of customers, ensuring they maximize value from Sardine's fraud prevention and compliance products while collaborating with internal teams and analyzing performance metrics.

Lead engineering projects in data acquisition, curate multimodal datasets, develop scalable data pipelines, and conduct experiments for insights in AI.

As a Senior Data Scientist at Chaos Labs, you'll enhance modeling capabilities and deliver insights for decentralized finance, collaborating with engineering and product teams.

As a Software Engineer Intern, you will build features for user-facing products, design data pipelines, implement scalable services, and contribute to technical documentation while being part of a collaborative team.

Investigate sophisticated attack chains across cloud environments, analyze cyber threats, and provide insights to enhance cybersecurity solutions.

Lead the design and implementation of scalable cloud-based data pipelines and architectures, ensuring best practices, compliance, and data quality.

The role involves designing and implementing machine learning solutions, managing projects from idea to deployment, and optimizing models using AWS and Docker.

Lead the development and enhancement of LLM-powered products, collaborating with cross-functional teams to create innovative AI-driven solutions.

The Senior Solutions Consultant engages with financial institutions to deliver the RiskOps platform, managing technical sales discussions and proposal submissions while addressing client needs through solution design.

Seeking a seasoned data scientist to advance methodologies for cardiovascular health assessment, collaborating with medical experts and algorithmic team.

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

As a Senior Research Engineer, you will work on applying generative AI models for video production and improving model performance in avatar rendering, utilizing your expertise in post-training techniques.

The AI Research Scientist will conduct research to develop new ML models, lead projects, and explore data sources while collaborating with a global team.

Drive independent, high-impact research on frontier AI topics, publish findings, collaborate widely, and mentor new researchers in the field.

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

As a Senior Research Engineer, you will manage data lifecycle for researchers, build a human-centric data lake, and enhance model performance through high-quality datasets in an AI-driven environment.