What you’ll get to do at Level AI (and more as we grow together)
- Drive product impact by proposing and conducting quantitative research into key user behaviors and trends
- Conduct in-depth analysis and build statistical models to identify trends and key drivers that inform important decisions made by the user.
- Data analysis to identify common trends
- Based on analysis, propose enhancements for automation pipelines.
- Review the output of AI models to improve performance by identifying common usage gaps
- Optimise AI model performance through effective prompt engineering techniques.
- Establish automated model performance improvement pipelines through prompt engineering.
- Responsible for generating, testing, evaluating, and curating high-quality, diverse, and representative data (including synthetic) for AI model development, training, and performance.
- Analyse model performance by diving into user feedback data and product usage reports.
- Suggest ways to improve product usage by specifically targeting each group of users and also feature.
- Create a business analysis report weekly.
- Define and monitor key metrics; investigate changes in metrics.
- Driven to continuously learn and adapt.
We'd love to explore more about you if you have
- Bachelor's degree or above with a good academic background.
- 1-2 years of full-time work experience as an AI Analyst.
- A highly resourceful individual who is looking to grow in the SaaS AI field.
- Experience in Python (Pandas, Matplotlib, NumPy) is a must.
- Experience in SQL is a must.
- Experience with Prompt Engineering is a plus.
- Familiarity with Classical ML Models (scikit-learn) and Deep Learning (Hugging Face, PyTorch) is a plus.
- Experience with Data Engineering is a plus.
- Employing test findings to do Statistical analysis and improve models.
- Knowledge of common metrics for evaluation of ML models is a plus.
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