Responsibilities Develop and maintain AI and Machine Learning solutions based on business and technical requirements.
Participate in the design, testing, and deployment of AI-enabled applications.
Support the implementation of Generative AI, LLM, and Retrieval-Augmented Generation (RAG) capabilities.
Participate in model evaluation, performance monitoring, and solution optimization.
Collaborate with Data Engineers and Software Engineers to access and prepare data required for AI solutions.
Contribute to data integration and feature engineering activities.
Support implementation of AI services within approved enterprise platforms.
Assist in maintaining data quality and data governance requirements.
Participate actively in Agile ceremonies including sprint planning, stand‐ups, retrospectives, and backlog refinement.
Deliver committed user stories and technical tasks within sprint commitments.
Support testing, deployment, and release activities.
Escalate risks and technical issues when appropriate.
Follow established AI Engineering, MLOps, and DevOps standards and practices.
Contribute to documentation, code reviews, and technical knowledge sharing.
Support monitoring and maintenance activities for deployed AI solutions.
Apply security, privacy, and responsible AI requirements throughout development activities.
Work closely with Product Owners, Business Analysts, Architects, and senior engineers while supporting solution implementation activities.
Support business requirement clarification and technical solution discussions.
Communicate progress, blockers, and technical findings to project teams.
Stay current with emerging AI technologies and engineering practices.
Participate in technical communities and learning initiatives.
Identify opportunities for process improvements and support implementation of approved enhancements.
Requirements
Bachelor's degree in Computer Science, Data Science, Engineering, Artificial Intelligence, or related disciplines.
2–4 years of expe
📌 Senior Analyst (Milano)
🏢 Altro
📍 Milano