ph3Responsibilities /h3 ul liDevelop and maintain AI and Machine Learning solutions based on business and technical requirements. /li liParticipate in the design, testing, and deployment of AI-enabled applications. /li liSupport the implementation of Generative AI, LLM, and Retrieval-Augmented Generation (RAG) capabilities. /li liParticipate in model evaluation, performance monitoring, and solution optimization. /li liCollaborate with Data Engineers and Software Engineers to access and prepare data required for AI solutions. /li liContribute to data integration and feature engineering activities. /li liSupport implementation of AI services within approved enterprise platforms. /li liAssist in maintaining data quality and data governance requirements. /li liParticipate actively in Agile ceremonies including sprint planning, stand‑ups, retrospectives, and backlog refinement. /li liDeliver committed user stories and technical tasks within sprint commitments. /li liSupport testing, deployment, and release activities. /li liEscalate risks and technical issues when appropriate. /li liFollow established AI Engineering, MLOps, and DevOps standards and practices. /li liContribute to documentation, code reviews, and technical knowledge sharing. /li liSupport monitoring and maintenance activities for deployed AI solutions. /li liApply security, privacy, and responsible AI requirements throughout development activities. /li liWork closely with Product Owners, Business Analysts, Architects, and senior engineers while supporting solution implementation activities. /li liSupport business requirement clarification and technical solution discussions. /li liCommunicate progress, blockers, and technical findings to project teams. /li liStay current with emerging AI technologies and engineering practices. /li liParticipate in technical communities and learning initiatives.



/li liIdentify opportunities for process improvements and support implementation of approved enhancements. /li /ul h3Requirements /h3 ul liBachelor's degree in Computer Science, Data Science, Engineering, Artificial Intelligence, or related disciplines. /li li2–4 years of experience in AI Engineering, Data Science, Machine Learning, Software Engineering, or related disciplines. /li liExperience developing AI or analytics solutions in enterprise environments. /li liFamiliarity with Machine Learning, Generative AI, LLMs, and AI application development. /li liExperience with Python and common AI/ML development frameworks. /li liUnderstanding of cloud platforms such as Azure, AWS, or GCP. /li liBasic understanding of Data Engineering concepts, data pipelines, and data preparation. /li liExperience working in Agile delivery environments. /li liStrong problem‑solving and communication skills. /li /ul h3Core Competencies /h3 pDemonstrates 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. /p h3Highest‑signal resume keywords /h3 ul liAI Engineering /li liMachine Learning /li liPython Programming /li liAgile Methodologies /li liCloud Platforms /li /ul h3Hard Skills /h3 ul liAI Solution Development /li liMachine Learning Frameworks /li liData Integration /li liFeature Engineering /li liModel Evaluation /li liPerformance Monitoring /liliSolution Optimization /li liData Governance /li liMLOps Practices /li liDevOps Standards /li /ul h3Soft Skills /h3 ul liProblem‑Solving /li liCommunication /li /ul h3Industry Keywords /h3 ul liGenerative AI /li liLLM /li liRetrieval-Augmented Generation /li liData Engineering /li liAgile Delivery /li /ul h3Tools Technologies /h3 ul liAzure /li liAWS /li liGCP /li /ul /p #J-18808-Ljbffr

📌 Senior Analyst – AI Engineering (Milano)
🏢 Jobtailor
📍 Milano