AI Engineer - Hybrid
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI Engineer with a contract length of "unknown", offering a pay rate of "unknown". It is a hybrid position based in Vienna, Virginia, requiring advanced degrees and strong experience in machine learning, cloud computing, and NLP.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
-
🗓️ - Date discovered
September 3, 2025
🕒 - Project duration
Unknown
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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
Vienna, VA
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🧠 - Skills detailed
#Automation #Model Optimization #C++ #PyTorch #ML (Machine Learning) #Reinforcement Learning #Data Science #Monitoring #Deep Learning #Visualization #TensorFlow #Mathematics #Azure #Computer Science #NLU (Natural Language Understanding) #AI (Artificial Intelligence) #Statistics #NLP (Natural Language Processing) #Data Engineering #Security #Image Processing #Cloud #Microsoft Azure
Role description
A.I. Engineer: Hybrid - 2x/week Vienna, Virginia
Responsibility:
• Build and enhance machine learning models through all phases of development including design, training, validation, and implementation.
• Unlock insights by analyzing large scale complex numerical and textual data and identifying trends.
• Partner with a cross-functional team of data engineers, data scientists, and data visualization experts to deliver projects.
• Research and evaluate emerging technologies.
• Develop data science solutions based on tools and cloud computing infrastructure.
Qualifications:
• Advanced degree in computer science, mathematics, physics, statistics, or related field.
• Strong experience with applying expertise in model design, training, validation, and monitoring.
• Excellent understanding of machine learning, statistical modeling, and algorithms as well as their benefits and drawbacks.
• Experience with cloud computing infrastructure.
• Experience with Computer Vision, image processing and video analytics.
• Experience with Natural Language Processing/Natural Language Understanding.
• Experience with deep learning frameworks and infrastructure like TensorFlow or PyTorch.
• Experience and/or willingness to learn advanced techniques in Agentic A.I. framework and Large Language Models (LLMs).
• Experience and/or willingness to research, develop, implement, and fine-tune LLMs for specific domain knowledge and use cases.
• Ability to work individually and as part of a team.
• Advanced verbal, written, interpersonal, and presentation skills to communicate clearly and concisely technical and non-technical information to all levels of management.
Desired:
• A.I. Model Optimization on GPU architecture. Leveraging C++, CUDA.
• Knowledge of Machine Learning Ops and CI/CD tools for automation of build, test, and deploy models in production environments.
• Knowledge of principles of A.I. Security and Safety.
• Experience with Advanced Reinforcement Learning Paradigms.
• Experience with Speech Recognition.
• Experience with Microsoft Azure services.
A.I. Engineer: Hybrid - 2x/week Vienna, Virginia
Responsibility:
• Build and enhance machine learning models through all phases of development including design, training, validation, and implementation.
• Unlock insights by analyzing large scale complex numerical and textual data and identifying trends.
• Partner with a cross-functional team of data engineers, data scientists, and data visualization experts to deliver projects.
• Research and evaluate emerging technologies.
• Develop data science solutions based on tools and cloud computing infrastructure.
Qualifications:
• Advanced degree in computer science, mathematics, physics, statistics, or related field.
• Strong experience with applying expertise in model design, training, validation, and monitoring.
• Excellent understanding of machine learning, statistical modeling, and algorithms as well as their benefits and drawbacks.
• Experience with cloud computing infrastructure.
• Experience with Computer Vision, image processing and video analytics.
• Experience with Natural Language Processing/Natural Language Understanding.
• Experience with deep learning frameworks and infrastructure like TensorFlow or PyTorch.
• Experience and/or willingness to learn advanced techniques in Agentic A.I. framework and Large Language Models (LLMs).
• Experience and/or willingness to research, develop, implement, and fine-tune LLMs for specific domain knowledge and use cases.
• Ability to work individually and as part of a team.
• Advanced verbal, written, interpersonal, and presentation skills to communicate clearly and concisely technical and non-technical information to all levels of management.
Desired:
• A.I. Model Optimization on GPU architecture. Leveraging C++, CUDA.
• Knowledge of Machine Learning Ops and CI/CD tools for automation of build, test, and deploy models in production environments.
• Knowledge of principles of A.I. Security and Safety.
• Experience with Advanced Reinforcement Learning Paradigms.
• Experience with Speech Recognition.
• Experience with Microsoft Azure services.
