As an AI Data Engineer, you’ll play a key role in ensuring that data is accessible, clean, and reliable — enabling data scientists, ML engineers, and product teams to build smarter, faster solutions.

What You'll Be Doing:

• Design, develop, and maintain scalable data pipelines for AI & machine learning projects
• Build and manage data infrastructure, warehouses, lakes, and real-time streaming solutions
• Work closely with Data Scientists & Machine Learning Engineers to prepare data for model training & deployment
• Automate data collection, transformation, and quality checks
• Ensure data privacy, security, and compliance with best practices

What We're Looking For:

• Strong experience in data engineering, data pipelines, and ETL processes
• Proficiency in Python, SQL, and big data technologies (Spark, Hadoop, Databricks etc.)
• Experience working with cloud platforms (AWS, GCP, Azure) and data tools (Snowflake, Redshift, BigQuery)
• Knowledge of machine learning data requirements & workflows
• Familiarity with data warehousing, data lakes, and real-time streaming tools (Kafka, Airflow, dbt etc.)
• Strong problem-solving skills and attention to detail