

Realign LLC
AI/ML Project Architect
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI/ML Project Architect in Sacramento, CA, with a 6-month contract. Key skills include AI & Gen AI experience, data pipelines, IoT, and ML. Onsite work is required, and 10+ years of relevant experience is essential.
🌎 - Country
United States
💱 - Currency
Unknown
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💰 - Day rate
Unknown
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🗓️ - Date
January 15, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Sacramento, CA
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🧠 - Skills detailed
#Deployment #Data Pipeline #Data Processing #AI (Artificial Intelligence) #ML (Machine Learning) #Security #IoT (Internet of Things) #Scala
Role description
Job Type: Contract
Job Category: IT
Job Title: AI-ML Project Architect
Location: Sacramento, CA
Duration: 6 Months
Work Mode: Onsite Role
Overview: AI ML Project Architect
Skills: AI & Gen AI – Products & Tools Experience Required: 10 & Above
Responsibilities:
Design and architect scalable AI/ML solutions tailored for edge deployment.
Lead the full solution lifecycle from proof-of-concept to production.
Guide cross-functional teams on the integration of AI/ML models into edge devices (IoT, gateways, embedded platforms).
Collaborate with stakeholders to translate business needs into technical specifications.
Ensure architectural integrity, security, and performance.
Establish best practices for model training, inference pipelines, and MLOps.
Evaluate and select hardware and software tools (e.g., NVIDIA Jetson, Coral, OpenVINO, TensorRT).
Oversee data pipelines for real-time and offline data processing.
Required Skills
PERFORMANCE ARCHITECT
Job Type: Contract
Job Category: IT
Job Title: AI-ML Project Architect
Location: Sacramento, CA
Duration: 6 Months
Work Mode: Onsite Role
Overview: AI ML Project Architect
Skills: AI & Gen AI – Products & Tools Experience Required: 10 & Above
Responsibilities:
Design and architect scalable AI/ML solutions tailored for edge deployment.
Lead the full solution lifecycle from proof-of-concept to production.
Guide cross-functional teams on the integration of AI/ML models into edge devices (IoT, gateways, embedded platforms).
Collaborate with stakeholders to translate business needs into technical specifications.
Ensure architectural integrity, security, and performance.
Establish best practices for model training, inference pipelines, and MLOps.
Evaluate and select hardware and software tools (e.g., NVIDIA Jetson, Coral, OpenVINO, TensorRT).
Oversee data pipelines for real-time and offline data processing.
Required Skills
PERFORMANCE ARCHITECT





