

AI/ML Engineer --Tempa, FL/ Dallas, TX (Hydrid) --Contract.
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Python AI/ML Architect on a contract basis in Tempa, FL or Dallas, TX. Requires expertise in Python, NLP, and AI/LLM techniques. Must be a fluent Spanish speaker with experience in deploying large language model pipelines.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
August 5, 2025
π - Project duration
Unknown
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ποΈ - Location type
On-site
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
Tampa, FL
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π§ - Skills detailed
#Deployment #NLP (Natural Language Processing) #DevOps #ML (Machine Learning) #Scala #Databases #Python #AI (Artificial Intelligence) #Model Deployment #Libraries
Role description
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Dice is the leading career destination for tech experts at every stage of their careers. Our client, iPeople Infosystems LLC, is seeking the following. Apply via Dice today!
Hello,
This is Pankaj from iPeople Infosystems LLC, currently we are looking for Python AI/ML Architect Please find the below job description and share me your updated resume on
Role: Python AI/ML Architect
Location: Dallas TX , Tempa FL
Type: contract
Primary skills (100%) / experience:
We are seeking a highly skilled Senior AI/ML Engineer who is also a native or fluent Spanish speaker to join our growing team. This role requires deep expertise in Python, NLP, and modern AI/LLM techniques. You'll work on building, optimizing, and deploying large language model (LLM) pipelines, including retrieval-augmented generation (RAG), vector databases, and prompt engineering frameworks.
Job Descrption:
β’ Develop and maintain end-to-end AI/ML pipelines using Python
β’ Implement and fine-tune NLP/LLM models
β’ Design and deploy RAG architectures using vector databases (e.g., FAISS, Pinecone)
β’ Create and manage APIs for AI/ML model access and interaction
β’ Conduct prompt engineering and LLM evaluation using tools like LangSmith
β’ Ensure reliable and secure deployment using libraries like LiteLLM and LLM Guardrails
β’ Collaborate with DevOps teams on CI/CD, model versioning, and scalable model deployment
β’ Stay updated with best practices and trends in GenAI and MLOps