Senior AI/ML Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior AI/ML Engineer with a contract length of "X months" and a pay rate of "$X/hour". Key skills include Python, Machine Learning, Large Language Models, Prompt Engineering, and Google Cloud experience.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
-
🗓️ - Date discovered
September 3, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Unknown
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Irving, TX
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🧠 - Skills detailed
#NLP (Natural Language Processing) #ML (Machine Learning) #Python #AI (Artificial Intelligence) #Classification #BigQuery #Cloud #Databases #"ETL (Extract #Transform #Load)"
Role description
1. AI/ML Developer
• Proficiency in developing Python-based applications.
• Solid foundation in Machine Learning
• Extensive experience working with Large Language Models (LLMs) such as Gemini, Claude, and GPT with in-depth understanding of tokenization, embeddings, and context management.
• Advanced expertise in Prompt Engineering, fine-tuning, and Retrieval-Augmented Generation (RAG) techniques.
• Experience working with Vector databases and text embeddings.
• Proficiency in designing and orchestrating Agentic Al systems, enabling multiple agents to collaborate on complex problem-solving initiatives using frameworks like LangGraph or Google ADK.
• Ability to debug, monitor, and optimize multi-agent workflows.
• Experience with NLP techniques and tasks - text preprocessing, feature extraction and text classification
• Experience within Google Cloud environments (e.g., BigQuery, Cloud Run).
• Strong problem-solving and collaboration skills.
1. AI/ML Developer
• Proficiency in developing Python-based applications.
• Solid foundation in Machine Learning
• Extensive experience working with Large Language Models (LLMs) such as Gemini, Claude, and GPT with in-depth understanding of tokenization, embeddings, and context management.
• Advanced expertise in Prompt Engineering, fine-tuning, and Retrieval-Augmented Generation (RAG) techniques.
• Experience working with Vector databases and text embeddings.
• Proficiency in designing and orchestrating Agentic Al systems, enabling multiple agents to collaborate on complex problem-solving initiatives using frameworks like LangGraph or Google ADK.
• Ability to debug, monitor, and optimize multi-agent workflows.
• Experience with NLP techniques and tasks - text preprocessing, feature extraction and text classification
• Experience within Google Cloud environments (e.g., BigQuery, Cloud Run).
• Strong problem-solving and collaboration skills.
