Top Remote Jobs in Milan

Build post-training infrastructure for voice and text agents, including training environments, verifiers, synthetic data pipelines, evaluations, and model release gates. Run end-to-end training experiments, select open-weight models, improve tool-using and multi-turn behavior, deploy models to production, and iterate using real-world usage. The role emphasizes Python engineering, reinforcement learning, GPU-based training, data quality, reward design, and production machine learning.

Administer and improve EDR and SIEM platforms, tuning detection rules, correlation logic, endpoint policies, alerts, dashboards, and integrations. Maintain log collection, agent health, platform availability, and security visibility across endpoints, servers, cloud, and network systems. Support investigations, onboard new systems, convert security findings into monitoring improvements, track detection coverage, and produce documentation and runbooks.

Lead the company’s ML/AI platform from experimentation through production, including SageMaker training infrastructure, model serving, inference pipelines, MLOps, and Java microservice integrations. Set AI/ML technical direction, develop GenAI and LLM retrieval and agent architectures, establish evaluation and safety guardrails, and partner with data science, DevOps, product, and engineering leadership on scalable ML roadmaps.

The EMEA Marketing Director drives marketing initiatives across Europe, develops strategies for MRgFUS therapy adoption, leads a marketing team, and collaborates with cross-functional teams to achieve commercial growth.

Create developer-facing content and programs to drive revenue for the go-to-market team while collaborating with marketing and sales to support lead generation.

Lead channel sales for PTC in Italy by managing full sales cycles, building executive relationships, expanding strategic accounts, working with reseller and SI partners, and selling PTC products (Windchill, Creo, Codebeamer, Vuforia, ThingWorx) into discrete and process manufacturing.

The Senior Infrastructure Engineer will own the cloud stack, enhance observability, architect browser cloud infrastructure, debug operational issues, and mentor other engineers, while managing multiple production workloads at scale.

Design and maintain data warehouse systems, develop ETL pipelines, manage datasets for analytics, and implement real-time data solutions.

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.