AI/ML Engineer (ML Ops) – Model Deployment & Optimization
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI/ML Engineer (ML Ops) focused on model deployment and optimization, offering a 6-12 month contract in Arlington, VA (Hybrid). Requires 8+ years in ML model production, MLOps expertise, and containerization skills.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
August 19, 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
Arlington, VA
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🧠 - Skills detailed
#Security #ML (Machine Learning) #Model Deployment #Transformers #Scala #AI (Artificial Intelligence) #MLflow #"ETL (Extract #Transform #Load)" #Microservices #Kubernetes #Deployment #Docker #ML Ops (Machine Learning Operations)
Role description
AI/ML Engineer (ML Ops) – Model Deployment & Optimization
Arlington VA (Hybrid)
Contract Duration: 6 -12 Months
Skills & Experience Requirements
• 8+ years building, tuning, and deploying machine learning models in production environments.
• Strong background in MLOps practices using MLflow or similar tools for model versioning, deployment, and governance.
• Experience with microservices-based AI architectures and integration into operational platforms.
• Proficiency in containerization (Docker, Kubernetes) and scalable inference serving.
• Knowledge of explain ability frameworks (e.g., SHAP, LIME) and bias detection techniques in AI systems.
Preferred Qualifications
• Experience deploying AI models in regulated mission environments (healthcare, federal security, customs).
• Familiarity with real-time risk scoring and decision-support integrations for government screening systems.
• Hands-on use of graph transformers or hybrid rule+AI architectures.
• Background in scaling AI solutions across multiple product categories or mission areas.
Regards,
Raju Chidurala
216-343-3435
rajuc@devfi.com
AI/ML Engineer (ML Ops) – Model Deployment & Optimization
Arlington VA (Hybrid)
Contract Duration: 6 -12 Months
Skills & Experience Requirements
• 8+ years building, tuning, and deploying machine learning models in production environments.
• Strong background in MLOps practices using MLflow or similar tools for model versioning, deployment, and governance.
• Experience with microservices-based AI architectures and integration into operational platforms.
• Proficiency in containerization (Docker, Kubernetes) and scalable inference serving.
• Knowledge of explain ability frameworks (e.g., SHAP, LIME) and bias detection techniques in AI systems.
Preferred Qualifications
• Experience deploying AI models in regulated mission environments (healthcare, federal security, customs).
• Familiarity with real-time risk scoring and decision-support integrations for government screening systems.
• Hands-on use of graph transformers or hybrid rule+AI architectures.
• Background in scaling AI solutions across multiple product categories or mission areas.
Regards,
Raju Chidurala
216-343-3435
rajuc@devfi.com
