Junior AI Engineer

Job Description

• Mandatory skill Python Data Science
• Results driven Data Scientist with hands on experience in data analysis data wrangling and business insights generation using Python and SQL Adept at translating complex datasets into actionable recommendations Possesses a solid foundation in statistics and machine learning with emerging exposure to large language models LLMs and OpenAI technologies

Key Skill Areas

• Programming Tools Python Pandas NumPy Matplotlib Seaborn Scikitlearn SQL complex queries joins CTEs window functions Git
• Data Analysis Visualization Exploratory Data Analysis EDA trend and correlation analysis hypothesis testing dashboards Power BITableau storytelling with data
• Databases Data Handling SQL Server MySQL basic knowledge of Spark Big Query Hive is a plus
• Statistics ML Foundational Descriptive and inferential statistics regression classification clustering KMeans model evaluation metrics accuracy precision recall AUC overfitting underfitting cross validation
• LLMAI Exposure
• Familiarity with prompt engineering OpenAI APIs basic usage of GPT models for data text automation awareness of LLM limitations and applications in analytics

Soft Skills

• Strong problem solving ability attention to detail stakeholder communication ability to translate business problems into data solutions

Experience Highlights

• Conducted in depth data analysis to uncover trends patterns and anomalies that informed strategic decisions across product marketing and operations teams
• Designed and implemented scalable data pipelines and automated data workflows using Python and SQL
• Developed and maintained analytical models and dashboards to track key business metrics and performance indicators
• Applied statistical methods and machine learning techniques to solve real world business problems such as forecasting segmentation and performance optimization
• Collaborated with stakeholders to gather requirements translate business questions into analytical approaches and communicate findings with clarity
• Explored the use of LLMs eg OpenAI GPT for enhancing internal workflows and accelerating data driven tasks such as querying summarization and content generation