16 ott - Bardi
Teamsystem
OverviewIn this role you will develop and evolve AI-powered platforms and scalable software architectures, enabling advanced capabilities across data, AI, and analytics.
You will design data pipelines, work with relational and vector databases, and implement AI solutions leveraging LLMs.
You will manage AI solutions through their lifecycle with emphasis on reliability, security, and quality documentation.
This is a cross-functional role within a company driving digital innovation and AI-driven value.
Retribuzione / Benefits4-day week
Wellbeing Digital Wallet
personal wellbeing budget
hybrid work model
tailored learning paths
inclusive environment
ResponsabilitàDevelop, maintain, and evolve AI-powered platforms and scalable software architectures.
Design and integrate data pipelines for structured and unstructured data; connect with relational and vector databases.
Implement AI solutions leveraging LLMs, prompting techniques, and model customization.
Oversee the lifecycle of AI solutions from design to production, including monitoring, maintenance,
security, and documentation.
Requisiti fondamentaliAt least 4 years of experience in AI Engineering, ML, or related software engineering roles.
Strong proficiency in Python; experience with modern AI frameworks, LLMs, and Generative AI.
Experience designing and developing scalable applications, APIs, and microservices in cloud environments (AWS, Azure, or GCP).
Knowledge of data architectures, including relational and vector databases, data pipelines, and handling structured/unstructured data.
Familiarity with containerization and modern SDLC practices (Docker, Kubernetes, Git, CI/CD).
Ability to design, deploy, and operate AI-powered solutions with focus on scalability, reliability, and security.
Advanced proficiency in English (C1).
growth mindset
proactive problem solving
customer-centric collaboration
Python
AI frameworks
Large Language Models (LLMs)
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