Data AI Engineer

E-INFRA • București, IF, RO

Actively Hiring

Full-time Posted 7 months ago

Responsibilities

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

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

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.

Fulltime Ai Ai Engineer