

52 Limited
Artificial Intelligence Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Artificial Intelligence Engineer on a 4+ month contract with potential extension, offering competitive pay. Key skills include Scala, ML, and AI deployment. Preferred experience includes MLOps knowledge and agency/consultancy background.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
November 7, 2025
🕒 - Duration
More than 6 months
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🏝️ - Location
Unknown
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📄 - Contract
Fixed Term
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🔒 - Security
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#AI (Artificial Intelligence) #ML (Machine Learning) #Datasets #Scala #Deployment
Role description
Key Responsibilities
• Design and implement AI solutions using LLMs, embeddings, and other ML models to solve business and product challenges.
• Collaborate with product, engineering, and data teams to identify AI use cases and define technical requirements.
• Fine-tune and evaluate model performance across diverse datasets and workflows.
• Develop and maintain model pipelines, APIs, and orchestration layers for scalable deployment.
• Create and document evaluation metrics and validation frameworks to ensure model reliability, safety, and alignment.
• Work with prompt engineers to optimize interactions between models and application layers.
• Stay current with emerging AI tools, frameworks, and best practices to continuously enhance capability and performance
Preferred Experience
• Exposure to governance frameworks or AI ethics guidelines for enterprise environments.
• Understanding of MLOps pipelines and tools
• Agency/Consultancy background
4+ month contract with opportunity for extension.
Key Responsibilities
• Design and implement AI solutions using LLMs, embeddings, and other ML models to solve business and product challenges.
• Collaborate with product, engineering, and data teams to identify AI use cases and define technical requirements.
• Fine-tune and evaluate model performance across diverse datasets and workflows.
• Develop and maintain model pipelines, APIs, and orchestration layers for scalable deployment.
• Create and document evaluation metrics and validation frameworks to ensure model reliability, safety, and alignment.
• Work with prompt engineers to optimize interactions between models and application layers.
• Stay current with emerging AI tools, frameworks, and best practices to continuously enhance capability and performance
Preferred Experience
• Exposure to governance frameworks or AI ethics guidelines for enterprise environments.
• Understanding of MLOps pipelines and tools
• Agency/Consultancy background
4+ month contract with opportunity for extension.






