Top Artificial Intelligence Jobs in Milan

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 role involves developing features for GitLab's AI-powered platform, advocating for quality improvements, and collaborating within a remote team.

Manage key client projects in Data & AI, ensuring timely delivery and proper documentation. Collaborate with technical teams and maintain stakeholder relationships.

As Lead AI Architect, you will design AI foundations for automation-focused products, oversee multi-agent systems, and lead technical direction for scalable AI architectures.

As Head of Data Engineering, you'll lead the design and implementation of a reliable data platform, managing a team and ensuring data quality while integrating with AI and product teams.

As an AI Solution Architect, design and deliver AI solutions using Microsoft Azure, collaborate with stakeholders, and lead technical teams across projects.

The AI Technology Lead will drive AI adoption, manage integration of AI technologies, facilitate an AI Tech Community, and align AI strategies with business needs.

The AI Solutions Specialist identifies opportunities for AI implementation across departments, collaborates with teams, and drives the delivery of scalable AI projects by merging technical and business requirements.

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

As a Learning Experience Designer, you will create transformative learning experiences by integrating psychology, AI, and storytelling, crafting engaging courses, developing AI interactions, and iterating based on learner feedback.

As a Software Engineer, AI, you'll train large-language models by comparing, ranking, and refining AI-coded snippets, while providing feedback for reinforcement learning.

The Software Engineer will analyze, rank, and improve AI-generated code, providing feedback for reinforcement learning in a remote role.

Train large-language models (LLMs) by evaluating, ranking, repairing, and refactoring code. Provide detailed feedback and maintain the RLHF pipeline.

The role involves training large-language models to improve code generation, reviewing and editing AI-generated code, and providing feedback for reinforcement learning refinement.

As a Software Engineer, you will help train large-language models in code evaluation and training, focusing on Ruby, with an emphasis on code review and improvement.

Responsible for training large-language models by reviewing, ranking, and improving AI-generated code. Requires strong software engineering skills.

Train large-language models to improve code quality by comparing snippets, providing feedback, and refining AI-generated code. Requires strong communication skills and attention to detail.

Welo Data seeks individuals fluent in Italian for remote roles in data annotation, evaluation, and prompt creation for AI, focusing on inclusivity.

As an AI Software Developer, you'll integrate Machine Learning models, design APIs and UIs, and deploy solutions in cloud environments.

As a Senior MLOps, you'll build and maintain data pipelines, design data storage solutions, and deploy model-serving systems, collaborating with ML Engineers for performance and quality.

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

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

The AI Engineer will research, prototype, and implement AI solutions, collaborating across teams and contributing to internal tools while fostering an AI-first culture.

As an AI Creative Producer, you'll develop and scale AI-generated content across various platforms, collaborate with teams, and enhance production workflows.

The AI Test Architect will profile, benchmark, and optimize deep learning models and training pipelines while focusing on high-performance networking for large-scale supercomputing solutions.