Top Machine Learning Jobs in Milan

As a Senior Consultant, you will drive digital transformation for customers through data-driven insights, utilizing SQL and process analysis. You'll lead projects to improve efficiency and deliver business value.

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

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

The Sales Development Associate will conduct market analysis, support lead generation, facilitate sales outreach, and manage CRM activities in AgTech sales.

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

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 Refining and Petrochemical Process Optimization Engineer analyzes process data, works on AI-driven optimization models, and collaborates with clients to improve operations and drive efficiency.

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

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

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.

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

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

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

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.

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.

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.

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

As a Senior Geospatial Machine Learning Engineer, you will develop and improve algorithms for vegetation analysis, enhance existing products, and lead projects impacting wildfire risk management.

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.

Lead the AI product strategy at Goodnotes, overseeing development across various AI initiatives and ensuring alignment with company vision.

N-iX seeks a Data Engineer with MLOps experience to create scalable ML pipelines, deploy models, and contribute to best practices in data engineering and coding.

As a Machine Learning Engineer, you will build and maintain production code for ML models, train and deploy models, and enhance data accessibility.