Digital AI Engineer

Bucuresti, Romania
Full Time
E-INFRA
Mid Level

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
Requirements:
  • Advanced degree in Data Science, Computer Science, Statistics, Mathematics or a related field.
  • 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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