Responsibilities:
• Analyze data and develop AI/ML models using tools like Trino and Iceberg.
• Monitor and optimize AI model performance, ensuring accuracy and efficiency.
• Support AI automation processes, including RPA (UiPath) solutions.
• Collaborate with data scientists and engineers to implement AI solutions across the business.
• Perform deep-dive analysis of AI outcomes and provide recommendations for improvements.
• Document AI workflows and methodologies to support transparency and scalability.
Requirements:
• Experience with AI/ML tools and frameworks.
• Knowledge of data visualization and storytelling using tools like Power BI.
• Familiarity with open-source data tools such as Trino, Iceberg, and dbt.
• Strong analytical skills and ability to interpret AI results effectively.
• Experience in working with cloud platforms like GCP (Pub/Sub, BigQuery).
Techonologies: Trino, Iceberg, RPA (UiPath), BigQuery, Pub/Sub, dbt.
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