Top Remote Jobs in Milan

Lead the design and delivery of NLU solutions using LLMs, ensuring technical excellence and mentoring team members.

Own territory end-to-end for enterprise database deals across EMEA: prospect, build pipeline, engage stakeholders, advance complex sales cycles, close to quota, forecast and track activity, contribute field feedback and sales playbook improvements, and manage expenses.

Remote role for ML/AI experts to assess AI-generated content, craft and answer advanced technical prompts, evaluate model responses for accuracy, relevance, and clarity, identify errors or hallucinations, and provide feedback to improve AI systems.

Design and develop core backend components for a blockchain network using Rust, ensuring reliability and scalability in production-grade software.

As a Senior UX Engineer, you'll redesign the user interface for a telehealth platform while conducting user research and collaborating with cross-functional teams.

The Director of Talent Acquisition will lead and enhance the recruitment process, align hiring strategies with business goals, and manage a team across various TA functions to support company growth.

The role involves monitoring real-time authentications of luxury watches, validating accuracy for new brands, and contributing to knowledge systems regarding market trends and counterfeit patterns.

Microblink is looking for talented individuals to join their team in various areas, focusing on innovation and bridging gaps between technology and users.

Lead product design for Kota Embed, owning design quality in a fast-moving environment. Design complex, data-constrained interfaces, build reusable design-system patterns, run rapid research and prototyping, collaborate across stakeholders and engineering, and produce working prototypes as spec to close the gap between design and implementation.

Corti is seeking passionate individuals to join their talent community, shaping the future of healthcare through AI technologies. Opportunities include roles in AI technology, machine learning, and software development, focusing on reducing errors and improving patient outcomes.