Ender-IT
AI Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI Data Engineer in Columbus, OH, on a W2 contract for 6-12 months, with a pay rate of "X". Requires 5-10 years in software/data/AI engineering, expertise in GCP, and experience in AI model development and MLOps.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
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🗓️ - Date
October 30, 2025
🕒 - Duration
More than 6 months
-
🏝️ - Location
Hybrid
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
Columbus, OH
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🧠 - Skills detailed
#Computer Science #Cloud #Data Pipeline #AI (Artificial Intelligence) #GCP (Google Cloud Platform) #Compliance #Data Engineering #ML (Machine Learning) #Azure #Anomaly Detection
Role description
Job Title: AI and Data Engineer (Only W2)
This will be on W2 role
Location: Columbus, OH (Hybrid)
Type: Contract – Potential Full-Time Conversion after 6-12 months
Work Hours: 8 hours/day, 3 days onsite mandatory and 2 days remote( hybrid)
Qualifications:
Bachelor's or master's degree in computer science, Data Engineering, AI/ML, or a related field.
5–10 years of experience in software, data, or AI engineering roles.
Proven experience in AI model development, data pipeline design, and MLOps practices.
Strong understanding of cloud-based architecture, especially within GCP environments.
Excellent problem-solving, communication, and collaboration skills.
Ability to work effectively in a hybrid, cross-functional environment.
Preferred Qualifications:
Experience with Azure OpenAI or Google AI services integration.
Exposure to regulatory or compliance-driven environments (e.g., finance, healthcare).
Prior experience in anomaly detection, AI assistants, or real-time decision systems.
Hands-on experience with RAG-based architectures and multi-agent systems.
Job Title: AI and Data Engineer (Only W2)
This will be on W2 role
Location: Columbus, OH (Hybrid)
Type: Contract – Potential Full-Time Conversion after 6-12 months
Work Hours: 8 hours/day, 3 days onsite mandatory and 2 days remote( hybrid)
Qualifications:
Bachelor's or master's degree in computer science, Data Engineering, AI/ML, or a related field.
5–10 years of experience in software, data, or AI engineering roles.
Proven experience in AI model development, data pipeline design, and MLOps practices.
Strong understanding of cloud-based architecture, especially within GCP environments.
Excellent problem-solving, communication, and collaboration skills.
Ability to work effectively in a hybrid, cross-functional environment.
Preferred Qualifications:
Experience with Azure OpenAI or Google AI services integration.
Exposure to regulatory or compliance-driven environments (e.g., finance, healthcare).
Prior experience in anomaly detection, AI assistants, or real-time decision systems.
Hands-on experience with RAG-based architectures and multi-agent systems.
