Senior Machine Learning Engineer
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- Milano
- Tempo indeterminato
- Full time
- Contribute to the execution of the AI/ML strategy aligned with business priorities, identifying and prioritizing high-impact use cases and translating them into scalable, production-ready solutions
- Lead the technical roadmap and evolution of the end-to-end ML platform, ensuring robust architecture, strong MLOps practices, and full lifecycle governance (development, deployment, monitoring, retraining, compliance)
- Drive the adoption, experimentation, and industrialization of ML solutions across relevant business domains
- Ensure production systems meet enterprise standards for scalability, reliability, security, and regulatory compliance, while continuously monitoring model performance and business KPIs
- Contribute to the growth of ML engineering capabilities by mentoring junior team members and collaborating effectively with senior technical and business stakeholders to foster innovation and engineering excellence
- Proven experience designing, deploying, and scaling ML systems in production environments.
- Strong expertise in ML frameworks, distributed systems, data modeling, and cloud-native software architecture
- Solid hands-on experience with MLOps practices, CI/CD pipelines, infrastructure automation, monitoring, and ML lifecycle management
- Experience working with large-scale structured and unstructured datasets within Big Data ecosystems
- Advanced proficiency in Python and core ML/data science libraries (e.g., NumPy, Pandas, Scikit-learn, TensorFlow)
- Strong foundation in mathematics and statistics, combined with strategic thinking, stakeholder engagement, and leadership capabilities
- 5+ years of experience in Machine Learning / AI / Data Science, with proven hands-on production experience
- Master’s degree in Computer Science, Engineering, Mathematics, or a related quantitative field
- Professional proficiency in English