Hybrid AI Analyst

at Level AI

• Job title: AI Analyst
• Job type: Full Time
• Experience level: Junior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: Numpy, Pandas, Python, PyTorch, Scikit-Learn, SQL
• Location requirements: Hybrid, Noida, India

About the role

• AI Analyst at Level AI analyzing user behaviors and trends to drive product impact. Collaborating on automation enhancements and statistical modeling for improved AI performance.

Responsibilities

• 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.

Requirements

• 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.

Benefits

• We offer market-leading compensation, based on the skills and aptitude of the candidate.