• Understanding business objectives and developing AI solutions that help to achieve them, along with metrics to track their progress.
• Prepare, clean, and preprocess data for analysis.
• Analyze data quality and proactively address issues.
• Develop data-driven algorithms for clustering, classification, regression, and optimization.
• Evaluate AI solutions aligned with business objectives.
• Deploy and manage AI models in production.
• Identify differences in data distribution that could potentially affect model performance in real-world applications.
• Analyzing the errors of AI models and designing strategies to overcome them.
• Maintain and enhance existing solutions to meet evolving business needs.
• Visualize and communicate results analysis effectively.
• Present ideas, plans, and findings orally and in written reports.
• Collaborate with data scientists, data engineers, and software engineers on production applications.
