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Build and operate a secure, scalable platform to host large language models, integrating GPU clusters, MLOps pipelines, and observability while optimizing inference performance and tenant isolation.
Senior Data Scientist building predictive maintenance and AI models for rail signalling systems using Python, ML/DL, and MLOps to improve reliability and safety in Hitachi Rail’s HMAX solutions.
Design, automate, and operate MLOps and DevOps pipelines for a secure Swiss government data platform, managing Linux infrastructure, GitOps, and observability from on-prem GPGPU hardware to distributed data systems.
Lead enterprise AI programs for Fortune 500 customers, designing and deploying agentic workflows and RAG systems while mentoring a small team of Applied AI Engineers.
Build and deploy enterprise-grade AI agents and RAG systems for Fortune 500 customers using Snowflake’s Cortex, Snowpark, and native LLM capabilities, owning the full lifecycle from prototype to production.
Design and lead the enterprise AI platform, including generative AI, RAG, and multi-agent systems, while ensuring governance, security, and MLOps best practices.
Mission 4Minds is an enterprise AI fine-tuning platform that transforms how organizations build and operate private, domain-specific AI. Unlike static systems, 4Minds’s AI platform learns continuously from live data in…
Build and maintain LLM hosting infrastructure, deploy GPU clusters, and create developer tooling for AI model serving and orchestration.
Design and deploy enterprise-grade AI agents and ML systems using cloud-native tools (Azure AI Foundry, AWS Bedrock, Google Vertex) and open-source frameworks, ensuring reliability in regulated environments.
Who We Are; What We Do; Where We’re Going Magnet Forensics is a global leader in the development of digital investigative software that acquires, analyzes, and shares evidence from computers, smartphones, tablets, and…
Build and deploy scalable ML models and data pipelines for fraud detection, risk modeling, and customer analytics in finance using Python, Spark, and cloud platforms.
Senior Data Engineer builds and optimizes cloud-based data pipelines and warehouses using AWS, Snowflake, Matillion, and dbt to power analytics and AI at Philip Morris International.
Build and maintain scalable data pipelines and infrastructure to power analytics and insights for a fintech payments platform using Python, SQL, and cloud tools.
Build and maintain scalable data pipelines and lineage for LLM platforms, integrating Snowflake/Snowpark and AWS services to support large-scale model training and evaluation.
Architect and automate SageMaker environments, CI/CD pipelines, and MLOps workflows to deploy ML models from development to production at scale.
Predictive & Agentic AI Engineer Position Overview: Are you an accomplished AI practitioner with a passion for developing cutting-edge analytics, predictive machine learning, and multi-agent generative AI…
Lead the design and deployment of ML systems on Kubernetes using KServe, PyTorch, TensorFlow, and AWS for Capital One’s fintech products.
Lead AI/ML Engineer builds and scales an AI-powered travel recommendation system using LLMs, RAG, and multimodal search to boost conversion and user experience.
Build and deploy scalable Python backend systems on AWS, lead CI/CD pipelines, and mentor engineers while integrating AI solutions.
Job Description FS Technology Consulting - AI and Data - AI Architecture & Engineering Lead - Senior Manager - Dublin Location: Dublin 2 Available for VISA Sponsorship: Yes Business Area: Data & Analytics…
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