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Role Overview:
We are seeking a Data Systems & AI Insights Engineer to own our data infrastructure and analytics pipelines that power AI models. This hybrid role combines data engineering (ensuring clean, structured, and accessible datasets) with data science (model evaluation, feature engineering, performance analytics). You will work closely with the AI engineering team to provide the high-quality data needed for effective AI solutions.
Key Responsibilities:
Requirements:
Strong SQL and Python skills for data manipulation and automation.Experience with data engineering tools (Airflow, dbt, Kafka, Spark, etc.).Hands-on experience with cloud data platforms (AWS Redshift, BigQuery, Snowflake, etc.).Familiarity with data science workflows (pandas, NumPy, scikit-learn, visualization libraries).Knowledge of data quality and validation best practices.Experience building ETL/ELT pipelines.Experience working with AI/ML datasets (computer vision, NLP, tabular).Familiarity with ML model evaluation metrics and experimentation.
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