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 experience in AI Engineering, Data Science, Machine Learning, Software Engineering, or related disciplines. * Experience developing AI or analytics solutions in enterprise environments. * Familiarity with Machine Learning, Generative AI, LLMs, and AI application development. * Experience with Python and common AI/ML development frameworks. * Understanding of cloud platforms such as Azure, AWS, or GCP. * Basic understanding of Data Engineering concepts, data pipelines, and data preparation. * Experience working in Agile delivery environments. * Strong problem?solving and communication skills. Core Competencies Demonstrates expertise in developing and maintaining AI and Machine Learning solutions with a strong focus on Generative AI, LLM, and MLOps practices. Proficient in collaborating with cross?functional teams to ensure data quality, governance, and successful implementation of AI services. Highest?signal resume keywords * AI Engineering * Machine Learning * Python Programming * Agile Methodologies * Cloud Platforms Hard Skills * AI Solution Development * Machine Learning Frameworks * Data Integration * Feature Engineering * Model Evaluation * Performance Monitoring * Solution Optimization * Data Governance * MLOps Practices * DevOps Standards Soft Skills * Problem?Solving * Communication Industry Keywords * Generative AI * LLM * Retrieval-Augmented Generation * Data Engineering * Agile Delivery Tools & Technologies * Azure * AWS * GCP #J-*****-Ljbffr

📌 Senior Analyst - Ai Engineering (Milano)
🏢 Jobtailor
📍 Milano