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Lead AI Engineer (Generative AI & Data Science Solutions)
Leads a team to design and implement generative AI and data science solutions for enterprise clients, focusing on multi-agent systems, RAG, and MLOps using Python, Java, and cloud platforms.
AI Engineer (Generative AI & Data Science Solutions)
Designs and implements generative AI and data science solutions for banking, insurance, and industrial clients, focusing on Python-based AI systems, MLOps, and cloud platforms.
Lead Fullstack AI/ML Consultant
Leads end-to-end delivery of enterprise AI/ML systems, including chatbots, agent-based workflows, and cloud-native platforms, using Python, cloud services, and MLOps practices.
Senior Fullstack AI/ML Engineer - L5 - Kraków - HSBC_PL
Lead a team building enterprise AI/ML systems, from architecture to deployment, including chatbots, agent workflows, and cloud-native platforms using Python, cloud services, and MLOps tools.
Principal Fullstack AI/ML Consultant
Principal Fullstack AI/ML Consultant designs, builds, and deploys enterprise-grade AI systems including chatbots, agent-based workflows, and cloud-native platforms using Python, cloud services, and MLOps tools.
AI/ML Engineer
Build and deploy generative AI models (NLP, computer vision) for travel experiences using Python, Azure/AWS, and MLOps/LLMOps to power chatbots, recommendations, and content systems.
Head of Data science
Lead the 0-1 build of an AI-native data infrastructure platform, defining architecture, hiring the team, and shipping production-grade ML/GenAI systems that power core platform capabilities.
NTT DATA Deutschland SE: Senior AI & GenAI Architect (w/m/x)
Wir sind Teil von NTT DATA, einem führenden Anbieter von Unternehmens- und Technologiedienstleistungen, KI und digitaler Infrastruktur mit einem Umsatz von über 30 Mrd. $. Als Global Top Employer betreut NTT DATA 75 %…
Full Stack Technical Lead (AI + Google)
Lead end-to-end AI and full-stack projects on Google Cloud, designing scalable systems, enforcing standards, and mentoring teams while integrating AI-assisted development tools.
Data Engineer - QuantumBlack, AI by McKinsey
Build and maintain scalable data pipelines and AI-ready datasets for cutting-edge AI systems using Python, SQL, and cloud platforms like AWS/Azure/GCP.
Senior AI Engineer (GenAI, LLMOps & Azure)
Lead the design and deployment of production-grade GenAI systems on Azure, setting engineering standards and guiding teams to build scalable, secure AI solutions.
AI Cloud Architect
Design enterprise-grade AI and generative-AI architectures on AWS/Azure/GCP, translating business goals into scalable, secure cloud solutions that integrate LLMs, RAG, MLOps and responsible-AI practices.
AI-Native Backend
Lead backend/API engineering for a global Banking-as-a-Service platform, using Java/Spring Boot and Python while supervising AI-assisted workflows with tools like Devin and GitHub Copilot to deliver secure, scalable microservices.
Software Developer Senior - Ia
Senior software engineer building AI solutions in Python/.NET, integrating LLMs, RAG, and MCP with cloud and vector databases to enable scalable, responsible AI across the company.
Senior Full Stack Engineer- (LLM, GenAI, AI Agent products)
Build AI-powered contact-center and agentic workflows using AWS, LangGraph, and vector databases, deploying scalable GenAI solutions for fintech customer engagement.
Développeur Full Stack IA (F/H)
Build and maintain AI-powered applications, including conversational assistants, RAG systems, and LLM integrations, using Java/SpringBoot and modern cloud practices in a DevSecOps environment.
AI / MLOps Engineer
Builds and deploys AI/ML models from prototype to production, focusing on MLOps pipelines, model monitoring, and scalable infrastructure for public-sector and energy clients using PyTorch, TensorFlow, and cloud platforms like AWS SageMaker.
Senior Data Engineer
Design and build scalable data pipelines and cloud-native data architectures for government and enterprise clients, using Python, SQL, Spark, and AWS services.
Full Stack AI Developer
Build production-grade agentic AI applications, full-stack Python backends with React frontends, and multi-agent workflows using frameworks like LangGraph or AutoGen.
Full Stack Technical Lead (AI + Google)
Lead full-stack AI projects on Google Cloud, designing scalable systems with LLMs, RAG, and multi-agent architectures while mentoring teams and enforcing AI-assisted development standards.