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Ai Data Developer Jobs in Ohio (NOW HIRING)

Flexjet

AI Data Engineer

Cleveland, OH · On-site

$111K - $133K/yr

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 ...

Flexjet

AI Data Engineer

Cleveland, OH

$111K - $133K/yr

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 ...

Flexjet

AI Data Engineer

Cleveland, OH · On-site

$111K - $133K/yr

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 ...

RELX

AI Data Analyst

Dayton, OH · On-site

The AI Data Analyst partners with data engineering, AI, and governance teams to assess data readiness, identify gaps and recommend improvements. This role does not own endtoend data pipelines and is ...

Medpace, Inc.

AI & Data Careers Event

Cincinnati, OH · On-site

$109K - $132K/yr

Data Engineer - IT * Utilize skills in development areas including data warehousing, business ... Collect, analyze and document user requirements working with AI engineers to align data sources to ...

The Hartford

Sr AI Data Engineer

Columbus, OH

$117K - $175K/yr

Sr Data Engineer - GE07BE We're determined to make a difference and are proud to be an insurance ... Working experience with ThoughtSpot, Snowflake, semantic data layers, and AI for analytics or ...

NEURA Robotics

$70 - $90/hr

Your mission & challenges As an AI Data Annotation Specialist, you will operate at the intersection ... Collaborate closely with ML Engineers to optimize datasets for training and evaluation What we can ...

LANCOM Systems GmbH

$102.57 - $136.77/hr

As an AI & Data Solutions Engineer you build future‑ready data pipelines for Agentic AI features. You own MCP integration, RAG architecture, and context engineering within LMC. Responsibilities ...

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Ai Data Developer information

What is the difference between Ai Data Developer vs Data Scientist?

AspectAi Data DeveloperData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; knowledge of AI frameworksBachelor's or higher in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops AI models, integrates AI solutions into applicationsAnalyzes data, builds predictive models, interprets data trends
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, marketing, tech firms

While both roles involve working with data and AI, Ai Data Developers focus on creating and deploying AI models within applications, whereas Data Scientists analyze data to extract insights and build predictive models. The roles often overlap but differ mainly in their primary focus and application environment.

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Ai Data Developer jobs near you

AI Data Engineer

Flexjet

Cleveland, OH • On-site

$111K - $133K/yr

Full-time

Posted 18 days ago

Flexjet rating

8.2

Company rating: 8.2 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

20th of 67 rated aviation services

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

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