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You design and maintain AI infrastructure on GCP using IaC, build CI/CD and GitOps pipelines for AI platforms, and enforce MLOps/LLMOps practices including monitoring and security compliance.
Staff Site Reliability Engineer Department: Technology Location: Montreal Employment Type: FullTime Hi there! Thanks for stopping by 👋 Are you actively looking for a new opportunity? Or just checking the market? Well……
Ingénieur.e staff de fiabilité des sites Department: Technology Location: Montreal Employment Type: FullTime Objectif du rôle En tant que personne occupant le poste d' Ingénieur.e staff de fiabilité des sites ,…
Lead AI Systems Engineer (All Genders) Location: Munich, Bavaria, de Company Description With over 25 years’ experience, plus the same enormous passion and ambition we had on day-one, we’re trailblazers in the pet…
Lead AI Engineer builds and deploys agentic AI systems for go-to-market workflows using Salesforce, Slack, and LLM frameworks like LangChain, driving automation and efficiency in cybersecurity sales operations.
Principal Data Engineer builds and scales AI/LLM data infrastructure for CrowdStrike’s cybersecurity platform, designing pipelines and agentic workflows to power next-gen security features at Exabyte scale.
TITLE Senior Manager, People Manager WHO WE ARE Duck Creek Technologies is the intelligent solutions provider defining the future of the property and casualty (P&C) insurance industry. Our modern SaaS platform…
Senior MLOps Engineer builds and scales ML infrastructure, deploys models, and supports cross-functional teams in optimizing retail-focused machine learning pipelines using GCP, Kubernetes, and Python.
Build and scale the AI infrastructure that powers CrowdStrike’s LLM-driven security products, including GPU clusters, model-serving pipelines, and MLOps tooling.
Builds and maintains scalable GCP data pipelines and cloud-native solutions for enterprise analytics and AI, using BigQuery, Dataflow, and Python.
Principal Security Engineer at Verizon in Chennai designs and builds cloud-native security data pipelines and APIs on GCP, enabling enterprise security analytics and dashboards.
Build and secure cloud environments on GCP and Azure to host AI models, vector databases, and LLMOps tooling for a financial services firm’s AI transformation.
Build and maintain ML pipelines and recommendation systems for a global streaming platform serving millions, using Python, TensorFlow/PyTorch, and GCP.
Principal Cloud Developer designs and builds cloud-native, AI-enabled enterprise applications, leading architecture, scalability, and MLOps practices in a hybrid role based in Bengaluru.
Lead the design and deployment of scalable GenAI and Agentic AI systems, focusing on LLMOps, MLOps, and cloud-native infrastructure for enterprise-grade applications.
Lead a team to design, prototype, and deploy AI/ML, generative AI, and cloud-native solutions for healthcare use cases on AWS and GCP, ensuring compliance and scalability.
Architect and build cloud-native, AI/ML-powered enterprise applications, leading end-to-end technical strategy, scalability, and MLOps/LLMOps practices.
Build and operate a secure, scalable AI platform to deploy and manage LLM services across providers, ensuring high availability, cost efficiency, and enterprise-grade governance for legal-tech products.
Build and deploy ML models to improve product recommendations, search ranking, and customer experience for an online furniture retailer using Python, SQL, and GCP tools.
Builds and maintains AI-powered healthcare agent services using Python, React, and cloud databases, integrating generative AI APIs and ensuring robust, scalable full-stack delivery.
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