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Software Development – Design, develop, implement, and test application software; contribute through coding, algorithm design, debugging, and system integration.
Data Collection & Management – Acquire, clean, and organize structured and unstructured data from diverse sources (databases, APIs, logs, external datasets).
Data Analysis & Visualization – Conduct statistical analyses, generate reports, and create interactive dashboards (Power BI, Tableau, Excel) to support strategic decision-making.
Database Design & Optimization – Define requirements, design efficient database schemas, and optimize queries for scalability and performance.
Machine Learning & AI Development – Build, train, and evaluate predictive and prescriptive models using Python (TensorFlow, PyTorch).
Deployment & Automation – Deploy and integrate AI/ML models into production environments (APIs, pipelines, MLOps).
Cloud & Big Data Solutions – Leverage cloud platforms (AWS, Azure, GCP) and big data frameworks (Spark, Hadoop) for advanced analytics.
Business Problem-Solving – Collaborate with stakeholders to translate business requirements into analytical models and AI-driven solutions.
Innovation & Research – Stay abreast of emerging trends in AI, data science, cloud, and automation, applying them to optimize business processes.
Documentation & Reporting – Prepare technical documentation, research reports, and user manuals for developed systems and solutions.
Collaboration & Mentorship – Work cross-functionally with IT, business, and operations teams; mentor junior staff in data analytics and AI development.
Technical Support – Serve as a technical advisor to other departments, providing training and knowledge transfer when needed.
Additional Duties – Perform other responsibilities as assigned by management.
Yêu Cầu Công Việc
Minimum Criteria
Education: Bachelor’s degree in IT, Computer Science, AI, or related fields (top universities preferred).