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Məlumat bazası üzrə mühəndis Vakansiya haqqında Şirkət : Azerconnect Group İdarə : Rəqəmsallaşma və Data İdarəsi İş qrafiki : Həftənin 5 günü saat 09:00-dan 18:00-dək. Son müraciət tarixi : 11.09.2026 İKT və yüksək…
About us Looking for your next challenge? Allfunds (AMS: ALLFG) is a fast-paced, dynamic, Wealthtech leader with 17* offices around the globe and our employees are the best at what they do. We have a relentless passion…
Job Description WHAT IS THE OPPORTUNITY? Are you a talented, creative and results-driven professional who thrives on delivering high-performing applications? Come join us! Global Functions Technology (GFT) is part of…
The Data Scientist will build and maintain enterprise-grade AI platform components, focusing on MLOps, LLM orchestration, and infrastructure provisioning using tools like Kubernetes, Terraform, and AWS services. They are responsible for the full lifecycle of model deployment, monitoring, and optimization within the bank's data office.
Works cross-functionally to elevate the organization by uncovering trends, decreasing time to insight, and making data accessible; core focus on MLOps automation.
Build and maintain full-stack Python and React applications that power Fitch Ratings' credit analysis workflows, integrating AI capabilities to enhance user experiences and operational efficiency.
Develops and maintains REST APIs, front-end applications (React/TypeScript/Next.js), and AI-driven systems (LLMops, LangChain) while integrating cloud platforms like Azure and ensuring system reliability through testing and troubleshooting.
Senior API Software Developer onsite in Toronto for the Ontario Ministry of Public and Business Service Delivery, designing and building scalable REST API platforms and AI-enabled applications using React, TypeScript, Node.js, Next.js, Azure, Python, and Agentic AI/LLMOps technologies.
Build and automate MLOps pipelines and CI/CD for ML solutions using Python and GCP in a B2B-focused AI company.
Design and deploy AI architectures for insurance pricing, integrating LLMs and agentic workflows to automate tariff analysis and simulations for Allianz’s Global P&C team.
ML Engineer evaluating and optimizing Foundation Models and generative AI systems for Apple Media Services, building evaluation frameworks and MLOps pipelines using Python, PyTorch, and LLM tooling.
Azure Data Engineer designing, implementing, and optimizing scalable data solutions on Microsoft Azure and Microsoft Fabric for a product company serving the aeronautical sector, covering data pipelines, storage, governance, and BI.
Senior AI Engineer designing, building, and operating ML/AI systems for real-time space domain awareness, using Python, ML frameworks, SQL, and Databricks/Spark on large-scale sensor and orbital datasets.
Build and scale the infrastructure that runs data pipelines and AI/ML models in production, using AWS, Kubernetes, and MLOps tooling to ensure reliability and performance.
Build and deploy ML models for game features like matchmaking, economy balancing, and toxicity detection using Python, PyTorch, and cloud infrastructure.
Junior AI Engineer designing scalable ML solutions on Google Cloud, collaborating with data architects, scientists, and engineers to ship ML to production using MLOps tools and architecture guidelines.
Build and maintain ML systems to optimize freight pricing and logistics operations using production-grade data pipelines and MLOps practices.
Senior Data Scientist/GenAI Engineer building scalable AI solutions with Azure Databricks, SAP, and LLMs on a 12+ month freelance engagement, remote within CET with European travel.
Design and operate scalable, secure, and automated platforms for data engineering and AI workloads, managing cloud infrastructure and automating ML lifecycles using AWS in a hybrid setup.
Designs and maintains self-hosted, compliant cloud infrastructure for AI/ML workloads using Kubernetes, focusing on data sovereignty and MLOps in Italy’s regulated market.
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