Python Engineer – ML/LLM
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Python Engineer – ML/LLM, remote, W2 only, focusing on ML/LLM solutions. Requires strong Python skills, experience with ML frameworks, LLM frameworks, prompt engineering, and deploying models via APIs.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
September 26, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Remote
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📄 - Contract type
W2 Contractor
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🔒 - Security clearance
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Cloud #Langchain #"ETL (Extract #Transform #Load)" #ML (Machine Learning) #AI (Artificial Intelligence) #Containers #Programming #Python #API (Application Programming Interface) #Transformers #TensorFlow #Databases #Hugging Face #PyTorch
Role description
Job Title: Python Engineer – ML/LLM
Location: Remote
Employment Type: W2 only
Role Overview
We are seeking a talented Python Engineer with expertise in Machine Learning and Large Language Models (LLMs). The role focuses on building, fine-tuning, and deploying ML/LLM solutions, integrating APIs, and working on real-world Generative AI use cases.
Required Skills
• Strong programming expertise in Python.
• Hands-on experience with ML frameworks (Scikit-learn, TensorFlow, PyTorch).
• Experience with LLM frameworks (LangChain, Hugging Face Transformers, OpenAI API).
• Strong knowledge of prompt engineering and LLM fine-tuning.
• Familiarity with vector databases (FAISS, Pinecone, Milvus, Weaviate).
• Experience deploying ML/LLM models via APIs, containers, or cloud services.
Share resume at pavan@chabeztech.com
Job Title: Python Engineer – ML/LLM
Location: Remote
Employment Type: W2 only
Role Overview
We are seeking a talented Python Engineer with expertise in Machine Learning and Large Language Models (LLMs). The role focuses on building, fine-tuning, and deploying ML/LLM solutions, integrating APIs, and working on real-world Generative AI use cases.
Required Skills
• Strong programming expertise in Python.
• Hands-on experience with ML frameworks (Scikit-learn, TensorFlow, PyTorch).
• Experience with LLM frameworks (LangChain, Hugging Face Transformers, OpenAI API).
• Strong knowledge of prompt engineering and LLM fine-tuning.
• Familiarity with vector databases (FAISS, Pinecone, Milvus, Weaviate).
• Experience deploying ML/LLM models via APIs, containers, or cloud services.
Share resume at pavan@chabeztech.com
