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E-INFRA
AI

Data AI Engineer

E-INFRA · București, IF, RO

Actively hiring Posted 6 months ago

Responsibilities

  • Analyze large datasets to extract valuable insights and identify trends.
  • Develop systems for real-time data processing and analytics to provide immediate insights and responses.
  • Develop and implement machine learning models to solve complex business problems.
  • Continuously refine and optimize machine learning algorithms to improve accuracy and efficiency.
  • Design and implement AI models to automate and enhance business processes.
  • Develop predictive models to forecast trends, customer behaviors, and operational outcomes.
  • Utilize NLP techniques to analyze and interpret unstructured data, such as customer feedback and documents.
  • Work with cross-functional teams to understand data requirements and deliver actionable insights.
  • Create and present detailed reports on findings, recommendations, and solutions.
  • Promotes data culture, prepare knowledge sharing and education events relating to data usage

Basic qualifications

  • Advanced degree in Data Science, Computer Science, Statistics, Mathematics.
  • Minimum 7 years of experience as a BI Data Engineer, with a strong focus on designing and implementing solutions in the Microsoft Azure ecosystem (e.g., Azure Data Factory, Azure Synapse, Power BI, Azure SQL, Databricks).
  • Over 5 years of hands-on experience in Machine Learning, including building and deploying predictive models to support strategic business decisions across various domains.
  • Knowledge in Azure AI and ML services such as Azure AI Foundry, Azure OpenAI, Azure AI Services, Azure Machine Learning, Azure Document Intelligence.
  • Experience connecting Azure Data Environment with external AI LLM solutions
  • Nice to have experience with AI services from AWS or GCP.
  • Strong knowledge of statistical analysis and machine learning techniques
  • Proficiency in programming languages such as Python or R, and experience with data visualization tools
  • Min 2 years’ work experience with AI services
  • Good knowledge of Data Management and Governance (MDM, Data Catalog, Taxonomy, Linage)
  • Understanding of data supply & data demand and how to make data available

Preferred qualifications

  • Knowledge in Azure AI and ML services such as Azure AI Foundry, Azure OpenAI, Azure AI Services, Azure Machine Learning, Azure Document Intelligence.
  • Experience connecting Azure Data Environment with external AI LLM solutions
  • Familiarity with additional programming languages such as Python and R.
  • Knowledge of Microsoft Azure cloud platform.
  • Experience with AI and machine learning frameworks and libraries (e.g., TensorFlow, PyTorch).
  • Understanding of AI model deployment and monitoring.
  • Knowledge of security best practices and compliance standards in AI and cloud environments.

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