Job Summary
The role involves the analysis, cleansing, validation, and upkeep of AI/ML datasets. It requires thorough examination of both training and testing data, as well as scrutiny of AI-generated outputs to identify any errors, inconsistencies, and gaps in completeness.
Responsibilities
- Review and validate datasets to ensure they meet quality standards.
- Implement automated quality assurance checks utilizing SQL and Python.
- Monitor and report on quality metrics related to datasets.
- Document findings from data assessments and identify root causes of issues.
- Collaborate effectively with data and AI teams to enhance datasets and improve data processing pipelines.
Qualifications
- 2 to 6 years of relevant experience in data quality analysis, data analytics, or AI data quality.
- Proficiency in data validation, cleansing, profiling, as well as knowledge of SQL and Python.
- Familiarity with both structured and unstructured data, data annotation, and labeling processes.
- Experience with spreadsheets and data visualization tools.
- A bachelor’s degree is required.
- Preferred experience with cloud platforms, reporting tools, and ETL/ELT processes.
- Knowledge of data governance and generative AI is advantageous.
EdgeQ Technologies Private Limited provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
