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Build and scale production LLM-powered healthcare applications, including RAG pipelines, agentic systems, and evaluation frameworks, while ensuring compliance and reliability in a regulated environment.
Design and run the AI platform infrastructure that powers EY’s GenAI and agentic AI solutions, including deployment pipelines, observability, and governance at enterprise scale.
Design and productionize enterprise AI solutions using Snowflake Cortex AI, Python, SQL, and RAG architectures to automate decisions and build intelligent agents for Hydro One’s data platform.
Build and maintain AI-powered full-stack apps using LLMs, RAG, and vector databases, with React frontends, Python/Node.js backends, and cloud-native DevOps.
Build and lead enterprise-scale AI systems, including multi-agent and RAG solutions, while driving innovation and scaling prototypes into production for Thomson Reuters’ AI-first transformation.
Build and deploy Python-based applications, including ML/LLM models, on Linux and Kubernetes in GCP, troubleshoot systems, and collaborate with MLOps teams.
Build and deploy ML and LLM-based applications in Python, running on Linux, Kubernetes, and GCP, while troubleshooting and collaborating in an MLOps team.
Lead DevOps & Platform Engineer builds and secures the Azure-based cloud foundation for a healthcare AI startup, establishing IaC, CI/CD, observability, and AI-safe engineering practices.
As a Senior AI Engineer, you will be part of the AI Platform team, helping to build and scale the shared foundations that enable AI capabilities across ASOS. The primary focus of this role will be contributing to the…
Build and deploy scalable AI/ML systems using Python, Azure, Databricks, and MLOps/LLMOps tooling to solve business problems at a sustainability-focused company.
Designs and deploys production-grade AI systems, including multi-agent workflows and RAG, on GCP while mentoring engineers and enforcing engineering standards.
Design and scale AI systems (LLMs, GenAI, agentic AI) for insurance workflows, integrating with enterprise platforms while ensuring governance, security, and observability.
Design and scale AI systems for AXA, including GenAI assistants and agentic workflows, while defining enterprise AI governance and integration patterns across cloud platforms like Azure.
Design and sell AI-powered data solutions for customers, integrating data platforms, AI models, and agentic frameworks to enable scalable, secure AI deployments across industries.
Lead AI Engineer designs, builds, and deploys enterprise-scale AI/ML and Generative AI systems, including RAG pipelines and agentic workflows, across Azure, GCP, or AWS.
Design and deliver enterprise-scale generative AI systems on AWS, using Amazon Bedrock, RAG, and agentic workflows while defining architecture standards and ensuring governance and security.
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…
Build and run the AI-SDLC platform: automate CI/CD, manage AWS/Kubernetes infrastructure, and ensure reliability, security, and cost control for AI workloads.
Build and industrialize AI/ML pipelines for Crédit Agricole, turning experiments into secure, scalable production systems using MLOps, LLMOps, and data engineering.
Designs and maintains cloud-native data and AI pipelines, implements MLOps/LLMOps, and ensures observability and cost optimization for robust data platforms.
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