Bachelor’s, Master’s, or PhD in Computer Science, Data Engineering, Machine Learning, Data Science, or a related field.
At least 1 year (PhD), 2 years (Master’s), or 3 years (Bachelor’s) of relevant full-time experience; exceptional candidates may be considered with equivalent experience.
Strong proficiency in Python for data processing, backend development, or machine learning workflows.
Experience working with large-scale or time-series datasets, including data cleaning, transformation, and feature engineering.
Basic familiarity with web development technologies, including frontend frameworks (e.g., React, Next.js) and backend frameworks (Node.js, Express, or Flask).
Experience working with relational databases (PostgreSQL, MySQL) or NoSQL databases (MongoDB).
Experience developing, evaluating, or deploying machine learning models, including integration into production or CI/CD pipelines, is a plus.
Passionate about technology, eager to learn, and enthusiastic about contributing to a rapidly growing startup.
