AI / Machine Learning Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI / Machine Learning Engineer with a 6-12+ month contract, offering a pay rate of "TBD". It requires proficiency in MCP, Model Armour, GCP, Vortex, and Python, along with a Bachelor’s degree and 3+ years of relevant experience.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
August 30, 2025
🕒 - Project duration
More than 6 months
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🏝️ - Location type
Hybrid
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Computer Science #Data Manipulation #Data Science #Data Integration #GCP (Google Cloud Platform) #Cloud #Python #ML (Machine Learning) #AI (Artificial Intelligence) #Datasets #Compliance
Role description
Title: AI / Machine Learning Engineer
Location: Remote/San Francisco, CA or Houston, TX
Duration: 6-12+ months
Notes:
Details of the request include: Must-have skill requirements of the role MCP, Model Armour , GCP Google AI tech stack Vortex, cloud, Python Number of openings 1 - Location/ Travel – Onsite Requirements: week 1 onsite in San Francisco or Houston (local preferred but not required), travel to San Francisco 2-3 times during the project.
Contract Description:
• Hands-on experience with MCP (Model Context Platform) for managing machine learning models.
• Proficiency in Model Armour for model governance and compliance.
• Strong knowledge of Google Cloud Platform (GCP) and Google AI technologies.
• Experience with Vortex for data integration and processing in cloud environments.
• Proficient in Python for developing machine learning algorithms and data manipulation.
Qualifications:
• Bachelor’s degree in Computer Science, Data Science, or a related field.
• Minimum of 3 years of experience in AI/ML engineering or related roles.
• Strong problem-solving skills and the ability to work with complex datasets.
• Excellent communication skills, with the ability to collaborate effectively in a team environment.
• Demonstrated ability to learn new technologies quickly and adapt to evolving project requirements.
Title: AI / Machine Learning Engineer
Location: Remote/San Francisco, CA or Houston, TX
Duration: 6-12+ months
Notes:
Details of the request include: Must-have skill requirements of the role MCP, Model Armour , GCP Google AI tech stack Vortex, cloud, Python Number of openings 1 - Location/ Travel – Onsite Requirements: week 1 onsite in San Francisco or Houston (local preferred but not required), travel to San Francisco 2-3 times during the project.
Contract Description:
• Hands-on experience with MCP (Model Context Platform) for managing machine learning models.
• Proficiency in Model Armour for model governance and compliance.
• Strong knowledge of Google Cloud Platform (GCP) and Google AI technologies.
• Experience with Vortex for data integration and processing in cloud environments.
• Proficient in Python for developing machine learning algorithms and data manipulation.
Qualifications:
• Bachelor’s degree in Computer Science, Data Science, or a related field.
• Minimum of 3 years of experience in AI/ML engineering or related roles.
• Strong problem-solving skills and the ability to work with complex datasets.
• Excellent communication skills, with the ability to collaborate effectively in a team environment.
• Demonstrated ability to learn new technologies quickly and adapt to evolving project requirements.
