Machine Learning Engineer with Gen AI Experience

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Machine Learning Engineer with Gen AI experience, offering a long-term contract in Westlake, TX or Smithfield, RI. Key skills include Python, Machine Learning, Prompt Engineering, and AWS deployment. Hands-on GenAI project experience is essential.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
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πŸ—“οΈ - Date discovered
September 24, 2025
πŸ•’ - Project duration
Unknown
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🏝️ - Location type
Hybrid
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πŸ“„ - Contract type
Unknown
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
Dallas, TX
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🧠 - Skills detailed
#EC2 #Flask #AI (Artificial Intelligence) #API (Application Programming Interface) #Langchain #ML (Machine Learning) #FastAPI #Data Science #AWS (Amazon Web Services) #Deployment #Python #RDS (Amazon Relational Database Service) #Snowflake #SageMaker
Role description
Please find the position details below: Job Title: Machine Learning Engineer with Gen AI experience Location: Westlake, TX or Smithfield RI (Hybrid – 2 weeks onsite , 2 weeks remote) Duration: Long term contract with possibility of Conversion Interview: 2 rounds Must-Have Skills (Deal Breakers): β€’ Python (core language for development) β€’ Machine Learning background β€’ Prompt Engineering (must be visible on resume in context of GenAI) β€’ Hands-on GenAI project experience with tools like: β€’ LangChain β€’ LlamaIndex β€’ RAG pipelines β€’ API development with FastAPI or Flask β€’ ML deployment on AWS (especially SageMaker) β€’ AWS services: EC2, EKS, RDS, Snowflake What Is the Project? The project is part of ' Workplace Investing AI Delivery Engineering team. It focuses on building and enhancing Generative AI (GenAI) solutions using: β€’ Retrieval-Augmented Generation (RAG) β€’ Prompt Engineering β€’ Fine-tuning large language models (LLMs) β€’ Python-based API development β€’ AWS services for ML deployment β€’ LangChain, LlamaIndex This role is hands-on engineering, not just data science. You’ll be responsible for designing and deploying end-to-end AI solutions, especially in Python and AWS environments.