Artificial Intelligence Engineer - Only W2

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Artificial Intelligence Engineer in New York, NY, for 6 months CTH, paying W2. Requires 5-8 years of experience, proficiency in Python and AI frameworks, and familiarity with the media domain. Green Card holders or US Citizens only.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
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πŸ—“οΈ - Date discovered
September 11, 2025
πŸ•’ - Project duration
More than 6 months
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🏝️ - Location type
On-site
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πŸ“„ - Contract type
W2 Contractor
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
New York, NY
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🧠 - Skills detailed
#Pandas #Python #Knowledge Graph #Cloud #Monitoring #Databases #Data Ingestion #NumPy #Deployment #Deep Learning #ML (Machine Learning) #"ETL (Extract #Transform #Load)" #Azure #Model Validation #AI (Artificial Intelligence) #Scala #Langchain #Programming #AWS (Amazon Web Services) #GCP (Google Cloud Platform) #DevOps
Role description
AI Engineer New York, NY 6 Months CTH ONLY ACCEPTING Green Card holders or US Citizens Job Description Key Responsibilities β€’ Build and orchestrate agentic workflows. β€’ Implement logic for context-aware agents to handle marketing-specific data transformation tasks. β€’ Develop reusable components for data ingestion, transformation, enrichment, and validation. β€’ Ensure reliability, scalability, and traceability across agent workflows. Required Skills & Qualifications β€’ 5-8 years of relevant experience. β€’ Programming: Proficiency in Python with experience using AI-specific packages and frameworks such as LangChain, LangGraph, scikit-learn, pandas, and NumPy. β€’ Machine Learning Expertise: Strong understanding of generative AI, AI agents, LLMs, RAG, prompt engineering, deep learning, tree methods, and statistical model validation. β€’ DevOps & Software Engineering: Experience with software pipeline development and DevOps practices, including GitFlow, CI/CD, and containerization. β€’ Domain Knowledge: Strong communication skills and familiarity with the media domain or similar industries. Preferred Qualifications β€’ Experience working with cloud platforms (AWS, GCP, Azure) for AI/ML deployment. β€’ Familiarity with vector databases and knowledge graphs. β€’ Background in MLOps for monitoring and maintaining production ML systems. β€’ Contributions to open-source AI projects or frameworks.