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.
Tags & focus areas
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