Senior Analyst – AI Engineering

Jobtailor; Milano; In loco; EUR 45.000 - 65.000; Tempo pieno

Descrizione del lavoro

Jobtailor is seeking an AI Engineer to design, develop, and deploy AI and ML solutions in enterprise environments. The role emphasizes Generative AI, LLMs, and MLOps, with data integration, governance, and cross-functional collaboration.

You will contribute to data preparation, feature engineering, and solution optimization while maintaining security and responsible AI practices. Ideal candidates have 2–4 years of hands-on AI/ML experience, strong Python skills, and familiarity with Azure, AWS,

Competenze

• Bachelor's degree in Computer Science, Data Science, Engineering, AI or related fields.
• 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.

Mansioni

• 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.

Conoscenze

AI Engineering

Python Programming

Cloud Platforms

Agile Methodologies

Machine Learning

Formazione

Bachelor's degree

Strumenti

Azure

AWS

GCP

Descrizione del lavoro

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