AI Data Engineer

POSITION SUMMARY

Flexjet is seeking a detail-oriented AI Data Engineer to build and maintain data infrastructure that powers machine learning and AI systems. In this role, you will work closely with data scientists, ML engineers, and software teams to ensure high-quality, reliable, and scalable data pipelines for AI applications.

DUTIES & RESPONSIBILITIES
Design, build, and maintain data pipelines for AI and machine learning workflows
Collect, clean, and preprocess structured and unstructured data
Develop and manage datasets for model training, validation, and inference
Collaborate with ML engineers and data scientists to support model development
Ensure data quality, integrity, and availability across systems
Optimize data storage and retrieval for performance and scalability
Implement data governance, security, and compliance best practices
Monitor and troubleshoot data pipeline issues

REQUIRED SKILLS & QUALIFICATIONS
Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related field (or equivalent experience)
Strong programming skills in Python and/or SQL
Understanding of data engineering concepts (ETL/ELT, data modeling, data warehousing)
Familiarity with machine learning workflows and data requirements
Experience with data processing tools (e.g., Pandas, Spark)
Knowledge of relational and non-relational databases
Basic understanding of cloud platforms (AWS, Azure, or Google Cloud)

PREFERRED QUALIFICATIONS
Experience supporting machine learning or AI projects
Familiarity with big data technologies (e.g., Apache Spark, Kafka, Hadoop)
Experience with data pipeline orchestration tools (e.g., Airflow, Prefect)
Knowledge of MLOps practices and tools
Experience working with unstructured data (text, images, etc.)
Understanding of data governance and privacy standards
Strong analytical and problem-solving skills
Attention to detail and data quality
Ability to work with cross-functional teams
Good communication skills
Ability to manage multiple data workflows