CoreTek Labs
Lead AI/ML Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Lead AI/ML Engineer in Columbus, OH, on a long-term contract at $70/hr. Key skills include AI/ML architecture, LLMs, cloud-native solutions (AWS/GCP/Azure), and data governance. Experience in GenAI integration is required.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
560
-
🗓️ - Date
October 10, 2025
🕒 - Duration
Unknown
-
🏝️ - Location
On-site
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Columbus, OH
-
🧠 - Skills detailed
#Compliance #ML (Machine Learning) #Azure #Cloud #Data Ingestion #Deployment #GCP (Google Cloud Platform) #Security #Data Governance #AI (Artificial Intelligence) #Scala #AWS (Amazon Web Services) #Databases
Role description
Title: AI/ML Sr Lead
Location: Columbus, OH
Type: Long term contract
Rate: $70/hr
Key Responsibilities:
• Translate business cases into technical AI/ML architecture and pipelines.
• Define the infrastructure for data ingestion, model development, and deployment.
• Oversee integration of GenAI components (LLMs, embeddings, vector databases, prompt engineering).
• Ensure scalability, compliance, and security across solutions.
Experience & Skills:
• Experienced in AI/ML architecture and implementation.
• Familiarity with large language models (LLMs) and GenAI platforms (OpenAI, Claude, LLaMA, etc.).
• Cloud-native AI/ML architecture (AWS/GCP/Azure).
• Strong understanding of data governance, responsible AI, and model lifecycle.
Title: AI/ML Sr Lead
Location: Columbus, OH
Type: Long term contract
Rate: $70/hr
Key Responsibilities:
• Translate business cases into technical AI/ML architecture and pipelines.
• Define the infrastructure for data ingestion, model development, and deployment.
• Oversee integration of GenAI components (LLMs, embeddings, vector databases, prompt engineering).
• Ensure scalability, compliance, and security across solutions.
Experience & Skills:
• Experienced in AI/ML architecture and implementation.
• Familiarity with large language models (LLMs) and GenAI platforms (OpenAI, Claude, LLaMA, etc.).
• Cloud-native AI/ML architecture (AWS/GCP/Azure).
• Strong understanding of data governance, responsible AI, and model lifecycle.
