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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
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.