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Oredata Yazılım Anonim Şirketi

Cloud, data analytics, and AI solutions

AI Architect

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeİstanbul, TürkiyeNo salary listedHybrid

About the Job

Requirements

  • Minimum 5 years of professional experience in AI, Machine Learning, Software Engineering, Data Engineering, or related technical roles.
  • Hands-on experience with Large Language Models (LLMs) and Generative AI applications, including deploying solutions to production environments.
  • Experience deploying and serving LLMs in cloud, private cloud, or on-premise environments.
  • Understanding of designing scalable AI applications that handle increasing user traffic and maintain acceptable response times.
  • Basic understanding of GPU-based LLM inference, including GPU memory usage, latency, throughput, and concurrency.
  • Familiarity with LLM inference optimization techniques such as quantization, batching, caching, and model selection.
  • Experience with open-source models and at least one LLM serving technology, such as Hugging Face, vLLM, NVIDIA Triton, or a comparable framework.
  • Familiarity with Docker and container orchestration technologies such as Kubernetes or OpenShift.
  • Practical experience building RAG-based applications, including document processing, embeddings, vector search, and retrieval quality improvement.
  • Understanding of model selection and routing techniques for choosing the appropriate model for different tasks.
  • Experience developing AI workflows using agents, tool calling, or integration with external systems.
  • Good Python programming skills and familiarity with software engineering practices, including API development, testing, Git, and CI/CD.
  • Strong analytical and problem-solving skills, with the ability to evaluate technical alternatives and contribute to production-ready AI solutions.

About the Company

Oredata Yazılım Anonim Şirketi

Cloud, data analytics, and AI solutions

OREDATA is a cloud and AI solutions provider that helps large organizations in the MENAT region move to and optimize Google Cloud. It offers consulting, cloud migration, data analytics platforms, infrastructure modernization, application development, and Google Workspace integration, delivered as end-to-end managed services. Their products include the Oredata Data Platform (a unified cloud-native data foundation), Oreflow (an MLOps platform to manage the machine learning lifecycle), and Oredata Inspector (an automated diagnostics tool for Kafka and Elasticsearch). The company differentiates itself through a long-standing Google Cloud MSP partnership, multiple regional offices, and a track record of handling very large data projects (over 50 petabytes for more than 250 enterprise clients). Its goal is to enable enterprises to transform digitally by building, deploying, and operating scalable cloud and AI systems that drive data-informed decision making.

Company size
51-200
Company stage
Not listed
Total funding
Not listed
Headquarters
Not listed
Founded
2013

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