Jobs via Dice

AI Engineer (W2 Contract)

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI Engineer (W2 Contract) with a contract length of unspecified duration, offering a pay rate of "unknown." It requires 5+ years in AI/ML Engineering, proficiency in Python and ML frameworks, and experience with LLMs and GenAI tools.
🌎 - Country
United States
πŸ’± - Currency
$ USD
-
πŸ’° - Day rate
Unknown
-
πŸ—“οΈ - Date
November 12, 2025
πŸ•’ - Duration
Unknown
-
🏝️ - Location
Remote
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πŸ“„ - Contract
W2 Contractor
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πŸ”’ - Security
Unknown
-
πŸ“ - Location detailed
United States
-
🧠 - Skills detailed
#"ETL (Extract #Transform #Load)" #Databases #Transformers #AWS (Amazon Web Services) #Langchain #Computer Science #PyTorch #TensorFlow #GCP (Google Cloud Platform) #Data Science #Deployment #Model Deployment #Azure #Data Pipeline #Cloud #ML (Machine Learning) #Kubernetes #API (Application Programming Interface) #AI (Artificial Intelligence) #Python #Docker #Hugging Face #BERT
Role description
Dice is the leading career destination for tech experts at every stage of their careers. Our client, XFORIA Inc, is seeking the following. Apply via Dice today! Job Title: AI Engineer Location: Remote, US Mode: Contract Required Skills: β€’ 5+ years of hands-on experience in AI/ML Engineering. β€’ Strong proficiency in Python, and ML frameworks such as TensorFlow, PyTorch, Scikit-learn, or Hugging Face Transformers. β€’ Experience working with LLMs (GPT, BERT, Claude, etc.) and GenAI tools (LangChain, Vector Databases, OpenAI API, etc.). β€’ Solid understanding of data pipelines, model deployment (MLOps), and API integrations. β€’ Familiarity with cloud platforms (AWS, Azure, or Google Cloud Platform) and containerization (Docker, Kubernetes). β€’ Strong analytical and problem-solving skills with attention to detail. Preferred Qualifications β€’ Master s degree in Computer Science, Artificial Intelligence, Data Science, or related field. β€’ Experience with Cisco AI-driven platforms or networking data. β€’ Prior experience building chatbots or AI assistants for enterprise use cases.