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Oredata Yazılım Limited Şirketi

OREDATA's vision is to be the leading provider of analytics solutions converting broad range of data into insightful information. To achieve this, we are committed in conducting fundamental research and driving innovation in the field of big data. We provide the next generation analytics platform to uncover the business opportunities emerged from the explosion of structured transactional and unstructured social media data. OREDATA combines data integration, data transformation and data visualization layers in its platform enabling our customers to perform interactive business analysis on big data. We offer big data solutions that meet the needs of our clients in many industries. We help them excel in changing market conditions by exploring new use cases, better understanding their customers and taking actions based on OREDATA insights.

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🔥 Platform Engineer
Posted 2024-11-28

📍 Turkey

🔍 Digital Transformation & IT Consulting

  • Bachelor's degree in Computer Engineering, Software Engineering or related field.
  • Min 2+ years experience of provisioning and maintaining Kubernetes clusters, especially for on-prem systems.
  • Hands-on experience on Kubeflow is a reason for preference.
  • Good knowledge about bash scripting.
  • Good knowledge of version control systems (Git, etc.).
  • Advanced knowledge of Linux system administration.
  • Good to have experience on monitoring applications (Grafana, Prometheus etc.).
  • Good to have experience on configuring and managing code-based infrastructure (Ansible, Puppet etc.).

  • Collaborate with data science and engineering teams to streamline the development, deployment, and management of machine learning models.
  • Create & maintain Kubernetes clusters in large scale environments (dev/test/staging etc.).
  • Implement automated processes for model training, testing, and deployment using tools such as Kubernetes, Kubeflow, and Docker.
  • Develop and maintain robust data pipelines to support the end-to-end machine learning lifecycle.
  • Ensure data security, privacy, and compliance with regulatory requirements throughout the machine learning pipeline.

DockerBashGitKubeflowKubernetesMachine LearningData scienceCollaborationLinuxCompliance

Posted 2024-11-28
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🔥 Data Scientist
Posted 2024-11-07

📍 Turkey

🔍 Digital Transformation & IT Consulting

  • Degree in computer, industrial, mathematics engineering, applied mathematics, or related data-centric areas.
  • 3-5 years of hands-on experience in data science.
  • Experience in building machine learning models with Python for business use cases.
  • Extensive SQL experience.
  • Proficiency in Python and data analysis libraries (Pandas, Numpy, Scikit-learn).
  • Understanding of the Data Science model development lifecycle.
  • Hands-on experience with machine learning models and optimization algorithms.
  • Experience with big data technologies (Apache Spark, Hadoop, etc.).
  • Preferred experience with deep learning frameworks (TensorFlow, Keras, PyTorch).
  • Preferred experience with distributed/GPU programming.
  • Preferred big data and cloud experience (Azure, AWS).

  • Understand business objectives and data requirements to develop analytical solutions.
  • Manage data analysis processes and prepare datasets for analysis.
  • Process large datasets using big data technologies.
  • Create predictions, classifications, and clusters using machine learning algorithms.
  • Present and communicate data results through effective visualizations.

AWSPythonSQLData AnalysisHadoopKafkaKerasKubeflowMachine LearningNumpyPyTorchAlgorithmsAzureData analysisData sciencePandasSparkTensorflowCommunication SkillsAnalytical SkillsCollaboration

Posted 2024-11-07
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🔥 Staff Cloud Engineer
Posted 2024-10-28

📍 Turkey

🔍 Digital Transformation & IT Consulting

  • Bachelor's degree in Computer Science or relevant engineering field.
  • 8 to 15 years of experience in a Senior Cloud/Systems/Infrastructure engineering capacity, preferably as a Senior/Staff/Principal Engineer.
  • At least 3 years of customer facing experience.
  • Broad experience with Infrastructure (IAAS, PAAS).
  • Good understanding of agile processes, able to handle ambiguity, and data-oriented decision making.
  • Attention to detail and solution-oriented mindset.
  • Excellent written and verbal communication skills in English.

  • Own the efficient elastic environment and infrastructure implementations using various cloud/on-premise environments.
  • Implement cloud migration, landing zones, infrastructure automation, and optimization of current projects.
  • Utilize automation tools such as Terraform, Ansible, Puppet, and Cloud Fabric framework.
  • Ensure engineering and security best practices are followed.
  • Collaborate closely with stakeholders including data engineers and solution architects to understand business requirements.

AgileBusiness IntelligenceElasticSearchGCPKafkaAmazon Web ServicesAzureElasticsearchCommunication SkillsCollaboration

Posted 2024-10-28
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