Senior Analyst – Ai Engineering
Pubblicato il 09-08-2026 - Jobtailor in Milano
Responsibilities
Se i requisiti e l'esperienza richiesti per questo lavoro corrispondono alle sue competenze, la preghiamo di candidarsi tempestivamente.
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.
xysqume 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