Artificial Intelligence Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Artificial Intelligence Engineer, hybrid in Vienna, VA, for 6++ months at a competitive pay rate. Key skills include machine learning, cloud computing, computer vision, NLP, and experience with TensorFlow or PyTorch. Advanced degree required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
September 3, 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
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
Job Details:
Job Title: A.I. Engineer
Location: Hybrid, Vienna, VA / Mon-Fri (40 hours/wk.)
Duration: 6++ months with high possibility of extensions
A.I. Engineer (Job Description)
Responsibility:
Build and enhance machine learning models through all phases of development including design, training, validation, and implementation etc.
Unlock insights by analyzing large scale of complex numerical and textual data and identifying trends.
Partner with a cross-functional team of data engineers, data scientists, and data visualization to deliver projects.
Research and evaluate emerging technologies.
Develop data science solutions based on tools and cloud computing infrastructure.
Perform other duties as assigned.
Qualifications:
Advanced degree in 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 framework and infrastructure like TensorFlow or PyTorch.
Experience and/or willing to learn advanced techniques in Agentic A.I. framework and Large Language Models (LLMs).
Experience and/or willing to research, develop, implement, and fine-tuning LLMs in terms of specific domains knowledge and user 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 on principles of A.I. Security and Safety.
Experience with Advance Reinforcement Learning Paradigms.
Experience with Speech Recognition.
Experience with Microsoft Azure services.
Job Details:
Job Title: A.I. Engineer
Location: Hybrid, Vienna, VA / Mon-Fri (40 hours/wk.)
Duration: 6++ months with high possibility of extensions
A.I. Engineer (Job Description)
Responsibility:
Build and enhance machine learning models through all phases of development including design, training, validation, and implementation etc.
Unlock insights by analyzing large scale of complex numerical and textual data and identifying trends.
Partner with a cross-functional team of data engineers, data scientists, and data visualization to deliver projects.
Research and evaluate emerging technologies.
Develop data science solutions based on tools and cloud computing infrastructure.
Perform other duties as assigned.
Qualifications:
Advanced degree in 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 framework and infrastructure like TensorFlow or PyTorch.
Experience and/or willing to learn advanced techniques in Agentic A.I. framework and Large Language Models (LLMs).
Experience and/or willing to research, develop, implement, and fine-tuning LLMs in terms of specific domains knowledge and user 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 on principles of A.I. Security and Safety.
Experience with Advance Reinforcement Learning Paradigms.
Experience with Speech Recognition.
Experience with Microsoft Azure services.
