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Senior Data Scientist (Торговое финансирование)
Builds and deploys LLM-based AI agents that automate trade-finance workflows, integrating with internal services and documents to handle complex business scenarios end-to-end.
Senior Data Scientist (Торговое финансирование)
Builds and deploys LLM-powered AI agents that automate trade-finance workflows, integrating with internal services, documents, and APIs to handle complex business processes in production.
Operations Manager – (AI Services) (REF5747U)
A Deutsche Telekom MMS GmbH 2019 óta ügyfele és üzleti partnere vállalatunknak és alapvetően a DTAG csoport meghatározó innovációs és digitalizációs szolgáltatója.Ezen dinamikusan fejlődő üzletág magyarországi…
AI DevOps Engineer
Build and run the AI-SDLC platform: automate CI/CD, manage AWS/Kubernetes infrastructure, and ensure reliability, security, and cost control for AI workloads.
Data/AI Engineer Industrialisation & MLOps IA H/F
Build and industrialize AI/ML pipelines for a major bank: turn experiments into secure, scalable, and monitored production systems using Python, MLOps, and cloud platforms.
Data/AI Engineer Industrialisation & MLOps IA H/F
Build and industrialize AI/ML pipelines for Crédit Agricole, turning experiments into secure, scalable production systems using MLOps, LLMOps, and data engineering.
Data/AI Engineer Industrialisation & MLOps IA H/F
Build and industrialize AI/ML pipelines for Crédit Agricole’s Group Infrastructure Platform, turning experiments into secure, scalable, and monitored production systems using MLOps, LLMOps, and cloud-native tools.
Hybrid Senior Data Platform Engineer – Cloud & AI
Designs and maintains cloud-native data and AI pipelines, implements MLOps/LLMOps, and ensures observability and cost optimization for robust data platforms.
Data analytics engineer [Stage/Alternance]
Build and deploy cloud data pipelines, model data, and integrate LLM components for clients in a consulting role.
Data Analytics Engineer: Cloud & AI Innovator
Build and deploy cloud data pipelines, model data, and integrate LLM components for enterprise clients while auditing cloud architectures and automating deployments.
Data Analytics engineer [CDI]
Build and deploy cloud-based data analytics solutions for enterprise clients, designing architectures, optimizing pipelines, and mentoring teams on modern data stacks and AI engineering practices.
Data Engineer Senior – Full Microsoft Azure & Fabric
Design and build end-to-end data pipelines on Microsoft Azure, using Data Factory, Data Lake, SQL DB and Analysis Services to deliver production-ready analytics and AI platforms.
Senior Data Engineer (F/H) - Niort
Build cloud-native data pipelines and AI-enhanced analytics platforms using Python, SQL, Airflow, and GCP tools like BigQuery and Vertex AI for insurance and enterprise clients.
Senior Data Engineer (F/H) - Rennes
Build robust data pipelines and cloud-native platforms using Python, SQL, dbt, Airflow, BigQuery, Snowflake, and Databricks, while integrating AI/ML workflows and RAG systems.
Senior Data Engineer (F/H) - Nantes
Designs and builds cloud-native data pipelines and platforms using Python, SQL, dbt, Airflow, and GCP, integrating AI/ML workflows and real-time analytics.
Industrial AI Engineer | MLOps, Data Pipelines, IA
Industrialize AI models and data pipelines for a large bank’s AI Center of Excellence, implementing MLOps, LLMOps, and CI/CD while ensuring security and observability.
Data Engineer Google Cloud Platform
Design and build scalable GCP data pipelines and deploy agentic AI systems using Vertex AI, LangChain, and RAG for enterprise clients.
Data Engineer - F/H
Build and maintain scalable, secure data pipelines and architectures for enterprise clients, using tools like Spark, Scala, and GCP.
Ingénieur(e) DevOps Senior / Lead (H/F)
Lead a new DevOps business unit at an engineering agency, building and automating resilient multi-cloud infrastructure (AWS/GCP/Azure) and integrating AI/ML tooling while collaborating with development teams and external partners.
Ingénieur DevOps H/F
Build and deploy cloud-native applications for clients using Ansible, Kubernetes, and CI/CD pipelines (Jenkins/GitLab) while optimizing performance, security, and resilience.