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-*****-Ljbffr

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