Job description

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

Requirements

Must-haves

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
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)

Nice-to-haves

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

Application prep

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Keywords to mirror

aimachine learningmlpythonsqlawsazure

Platform: clearcompany
Effort: medium