AceStack
Unstructured.io with AI/ML
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a remote contract position for an "Unstructured.io with AI/ML" expert, requiring 4+ years in AI/ML engineering and 2+ years in government networks. Key skills include Python, cloud platforms, and compliance frameworks.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
November 1, 2025
🕒 - Duration
Unknown
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🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Terraform #GCP (Google Cloud Platform) #Azure #Data Processing #Python #Compliance #Deployment #AI (Artificial Intelligence) #Programming #Kubernetes #Infrastructure as Code (IaC) #AWS (Amazon Web Services) #Ansible #Security #ML (Machine Learning) #Cloud
Role description
Role: Unstructured.io with AI/ML
Location - Remote
Contract
Key Responsibilities
• Develop evaluation & assessment frameworks for AI/ML models and measure performance across varied tasks.
• Identify, propose, and implement modifications of existing models and frameworks to optimize for new tasks.
• Lead conceptualization of deployment strategies (cloud & on-premises) for models, including distributed ML workloads.
• Align AI/ML deployments with rigorous security & compliance frameworks (e.g., FedRAMP, NIST 800-53, FISMA, DISA SRG) when working in government environments.
• Translate mission objectives (for government or large enterprise clients) into ML-focused technical specs & project plans.
Required & Preferred Skills / Qualifications
Required:
• 4+ years experience in AI/ML engineering, MLOps, systems architecture or similar.
• 2+ years experience working with government networks and security requirements (for public-sector role).
• Programming & development proficiency: Python (model development, data processing, pipelines) is emphasized.
• Experience with cloud platforms (AWS/GCP/Azure), container orchestration (Kubernetes, etc.), infrastructure as code (Terraform/Ansible/Pulumi) and automated deployments.
Role: Unstructured.io with AI/ML
Location - Remote
Contract
Key Responsibilities
• Develop evaluation & assessment frameworks for AI/ML models and measure performance across varied tasks.
• Identify, propose, and implement modifications of existing models and frameworks to optimize for new tasks.
• Lead conceptualization of deployment strategies (cloud & on-premises) for models, including distributed ML workloads.
• Align AI/ML deployments with rigorous security & compliance frameworks (e.g., FedRAMP, NIST 800-53, FISMA, DISA SRG) when working in government environments.
• Translate mission objectives (for government or large enterprise clients) into ML-focused technical specs & project plans.
Required & Preferred Skills / Qualifications
Required:
• 4+ years experience in AI/ML engineering, MLOps, systems architecture or similar.
• 2+ years experience working with government networks and security requirements (for public-sector role).
• Programming & development proficiency: Python (model development, data processing, pipelines) is emphasized.
• Experience with cloud platforms (AWS/GCP/Azure), container orchestration (Kubernetes, etc.), infrastructure as code (Terraform/Ansible/Pulumi) and automated deployments.
