Kiratech logo
Kiratech

Making businesses better through IT

Cloud Native AI Engineer

Location

Italy

Posted

42 days ago

Salary

0

Seniority

Mid Level

Job Description

Cloud Native AI Engineer

Kiratech

Role Description Cerchiamo una/un AI Platform Engineer con esperienza Mid o Senior per rafforzare il nostro team dei Servizi Professionali. Se sei una persona che non si accontenta di far girare i modelli, ma vuole progettare i sistemi che li rendono affidabili, scalabili e sicuri in produzione, questo è il tuo ruolo. Lavorerai al cuore di progetti che integrano intelligenza artificiale, infrastrutture Cloud Native e pratiche DevSecOps, con impatto diretto sui clienti enterprise più innovativi del mercato. Il tuo impatto quotidiano: - Progettare e far evolvere pipeline AI/ML efficienti, sicure e manutenibili, dalla sperimentazione alla produzione - Integrare pratiche MLOps, LLMOps e DevSecOps nei processi di sviluppo e rilascio, elevando la qualità dell’intero team - Essere il punto di riferimento tecnico per clienti enterprise nell’adozione di architetture AI-driven e agentic su Kubernetes e piattaforme cloud - Guidare attività progettuali, fare mentoring e coordinare team tecnici multidisciplinari verso obiettivi concreti Qualifications - Esperienza nella gestione del ciclo di vita dei modelli ML (training, deployment, monitoring) - Conoscenza strumenti MLOps/LLMOps: MLFlow, Kubeflow, KServe, BentoML, Ray Serve, Vertex AI, SageMaker, Azure ML - Integrazione AI con tool di sicurezza: SonarQube, Snyk, Trivy, etc. - Competenza in AI-driven Monitoring (Elastic, Prometheus, Grafana, Loki) - Familiarità con architetture dati moderne: RAG, Agentic RAG, Vector DB, Feature Store, Graph DB (Neo4j) - Esperienza su LLM e modelli fondazionali: OpenAI, Anthropic Claude, Meta Llama, HuggingFace, Mistral; self-hosted inference con Ollama o vLLM - Sviluppo in Python (ML/AI SDK) e Go (Platform components) - Esperienza con orchestrazione AI (LangChain, LangGraph, LlamaIndex) e Big Data & Streaming (Apache Spark, Kafka, Flink) - CI/CD per ML (MLFlow, GitHub Actions, GitLab CI, Argo Workflows, Argo Rollouts, Flagger) - Esperienza con AI-powered software engineering e workflow agentici (MCP, AI Agents, tool use) - Esperienza su infrastrutture scalabili in ambienti AWS, Azure, GCP - Terraform, Ansible, GitOps (ArgoCD, Flux) - Amministrazione avanzata Kubernetes (CKA richiesto) - Conoscenza Red Hat OpenShift AI – desiderata - Esperienza come Techcal Lead o Manager Tecnico in contesti AI/ML o R&D - Leadership tecnica e capacità di coordinare team cross-funzionali Requirements - Tool AI-powered coding (Copilot, Tabnine, Codeium, Cursor) - OpenShift AI, Neo4j, Apache Spark, Kafka, Flink - Stack Elastic e/o Grafana - Tool e protocolli AI avanzati (MCP – Model Context Protocol, AI Agents, Operator pattern) - Approcci DevSecOps (SAST, DAST, Snyk, Sonar, Mend) - Conoscenza metodologie ITIL, PRINCE2, AgilePM Certifications - CKA o CKAD (Certified Kubernetes Administrator/Developer) - Una certificazione CNCF (es. Certified Kubernetes Security Specialist – CKS) - Una certificazione Cloud (es. AWS Certified Solutions Architect, Azure Solutions Architect Expert, Google Professional Cloud Architect) - Una certificazione DevSecOps (es. DevSecOps Foundation o Certified DevSecOps Professional) - Una certificazione in ambito AI/MLOps o Data (es. Google Professional Machine Learning Engineer, Azure AI Engineer Associate, AWS Certified Machine Learning – Specialty, Databricks Certified Machine Learning Professional, TensorFlow Developer Certificate, Red Hat AI Foundations) Languages - Italiano fluente - Inglese professionale Benefits - Formazione continua: 1 giorno al mese dedicato alla formazione tramite l'ausilio di piattaforme dedicate - Recharging Friday (1 venerdì a trimestre retribuito) - Voce amica - Ticket Restaurant elettronici - Welfare aziendale - Lavoro in un contesto aziendale giovane, dinamico, tecnologicamente innovativo

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