AI/ML Engineer & Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI/ML Engineer & Data Scientist on a contract basis, remote in Washington D.C., paying $60.00 - $65.00 per hour. Requires 5+ years in machine learning, MLOps, FDA regulations, and Public Trust Clearance eligibility.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
520
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🗓️ - Date discovered
August 21, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Remote
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📄 - Contract type
Unknown
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🔒 - Security clearance
Yes
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📍 - Location detailed
Remote
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🧠 - Skills detailed
#MLflow #ML (Machine Learning) #Docker #AI (Artificial Intelligence) #Microservices #ML Ops (Machine Learning Operations) #Scala #Security #Deployment #Data Science #Kubernetes
Role description
AI/ML Engineer (ML Ops) -
Washington D.C (Remote)
Candidate Must have Public Trust Clearance (PTC) or Ready to obtain PTC.
Skills & Experience Requirements
● 5+ 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 explainability frameworks (e.g., SHAP, LIME) and bias detection techniques in AI systems.
Job Type: Contract
Pay: $60.00 - $65.00 per hour
Expected hours: 40 per week
Application Question(s):
Candidate must be US Citizen & Eligible to obtain Public Trust Clearance (PTC).
Experience:
machine learning models: 5 years (Required)
MLOps: 4 years (Required)
AI/ML : 4 years (Required)
FDA regulations: 1 year (Required)
Kubernetes: 3 years (Required)
Docker: 3 years (Preferred)
OASIS: 1 year (Required)
PREDICT: 1 year (Required)
Security clearance:
Confidential (Required)
Work Location: Remote
AI/ML Engineer (ML Ops) -
Washington D.C (Remote)
Candidate Must have Public Trust Clearance (PTC) or Ready to obtain PTC.
Skills & Experience Requirements
● 5+ 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 explainability frameworks (e.g., SHAP, LIME) and bias detection techniques in AI systems.
Job Type: Contract
Pay: $60.00 - $65.00 per hour
Expected hours: 40 per week
Application Question(s):
Candidate must be US Citizen & Eligible to obtain Public Trust Clearance (PTC).
Experience:
machine learning models: 5 years (Required)
MLOps: 4 years (Required)
AI/ML : 4 years (Required)
FDA regulations: 1 year (Required)
Kubernetes: 3 years (Required)
Docker: 3 years (Preferred)
OASIS: 1 year (Required)
PREDICT: 1 year (Required)
Security clearance:
Confidential (Required)
Work Location: Remote
