Artificial Intelligence Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Artificial Intelligence Engineer with a contract length and an hourly pay rate in McLean, VA. Requires 10+ years of experience in AI/ML, proficiency in Python and ML frameworks, and expertise in enterprise AI integration and compliance.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
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πŸ—“οΈ - Date discovered
September 23, 2025
πŸ•’ - Project duration
Unknown
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🏝️ - Location type
Hybrid
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πŸ“„ - Contract type
Unknown
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
McLean, VA
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🧠 - Skills detailed
#Security #Monitoring #Java #AI (Artificial Intelligence) #AWS (Amazon Web Services) #Golang #Deployment #Azure #Compliance #TensorFlow #"ETL (Extract #Transform #Load)" #Scala #Strategy #ML (Machine Learning) #Python #Leadership #Cloud #Model Deployment #PyTorch #GCP (Google Cloud Platform)
Role description
This is a contract position with hourly rate with hybrid work presence in Mclean, VA. We are seeking an experienced AI Engineer with 10+ years of experience to design, build, and deploy advanced AI/ML, Generative AI, and Agentic AI solutions for enterprise applications. This role combines hands-on engineering with strategic leadership, driving AI adoption across large-scale business workflows. AI Engineer with 10+ years of experience to design, build, and deploy advanced AI/ML, Generative AI, and Agentic AI solutions for enterprise applications. This role combines hands-on engineering with strategic leadership, driving AI adoption across large-scale business workflows. Responsibilities ο‚· Build and deploy scalable AI & ML solutions into enterprise systems. ο‚· Architect and integrate LLMs, RAG pipelines, and agentic AI that can reason, plan, and adapt. ο‚· Collaborate with product, data, and engineering teams to embed AI features into enterprise apps. ο‚· Lead MLOps/LLMOps practices including model deployment, monitoring, and governance. ο‚· Ensure AI solutions meet enterprise security, performance, and compliance standards ο‚· Mentor teams and influence enterprise AI transformation strategy. Requirements ο‚· Strong expertise in ML frameworks (TensorFlow, PyTorch, or equivalent). ο‚· Proficiency in Python (plus Golang, Java, or similar languages). ο‚· Hands-on experience with LLMs, embeddings, RAG, prompt engineering, and agent orchestration. ο‚· Deep knowledge of MLOps, APIs, cloud platforms (AWS/Azure/GCP). ο‚· Experience with enterprise-grade AI integration, security, and compliance. ο‚· Excellent leadership, collaboration, and communication skills.