E-INFRA

Digital AI Engineer

about 1 month ago

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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