Senior GenAI/LLM Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior GenAI/LLM Engineer with 8+ years in AI/ML engineering, specializing in NLP. Requires expertise in TensorFlow, deep learning frameworks, and transformer architectures. Must be a US Citizen or GC holder. Hybrid location in California.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
August 29, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Hybrid
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
San Francisco, CA
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🧠 - Skills detailed
#BERT #"ETL (Extract #Transform #Load)" #PyTorch #Model Deployment #Data Science #NLP (Natural Language Processing) #Libraries #AI (Artificial Intelligence) #Databases #AWS (Amazon Web Services) #Deep Learning #Classification #Keras #Transformers #Hugging Face #TensorFlow #Deployment #NumPy #Python #GCP (Google Cloud Platform) #ML (Machine Learning) #Cloud #Pandas #Azure
Role description
California
Hybrid role
Key Points
MUST be a US Citizen or GC holder
• Required Skills & Qualifications
• 8+ years of experience in AI/ML engineering with at least 5 years in NLP-focused projects.
• Strong expertise in TensorFlow and proficiency with deep learning frameworks (PyTorch, Keras).
• Proven experience working with transformer-based architectures (BERT, GPT, T5, LLaMA, Falcon, etc.).
• Hands-on experience in fine-tuning and training large language models (LLMs).
• Strong background in NLP tasks: text classification, summarization, translation, conversational AI, semantic search, etc.
• Solid understanding of MLOps pipelines, model deployment, and scaling AI systems.
• Proficiency in Python and familiarity with modern data science libraries (NumPy, Pandas, Hugging Face Transformers).
• Experience with cloud platforms (AWS, GCP, Azure) for AI model training and deployment.
• Knowledge of vector databases (Pinecone, FAISS, Weaviate, Milvus) and retrieval-based methods.
• Strong problem-solving skills and ability to work in cross-functional teams.
California
Hybrid role
Key Points
MUST be a US Citizen or GC holder
• Required Skills & Qualifications
• 8+ years of experience in AI/ML engineering with at least 5 years in NLP-focused projects.
• Strong expertise in TensorFlow and proficiency with deep learning frameworks (PyTorch, Keras).
• Proven experience working with transformer-based architectures (BERT, GPT, T5, LLaMA, Falcon, etc.).
• Hands-on experience in fine-tuning and training large language models (LLMs).
• Strong background in NLP tasks: text classification, summarization, translation, conversational AI, semantic search, etc.
• Solid understanding of MLOps pipelines, model deployment, and scaling AI systems.
• Proficiency in Python and familiarity with modern data science libraries (NumPy, Pandas, Hugging Face Transformers).
• Experience with cloud platforms (AWS, GCP, Azure) for AI model training and deployment.
• Knowledge of vector databases (Pinecone, FAISS, Weaviate, Milvus) and retrieval-based methods.
• Strong problem-solving skills and ability to work in cross-functional teams.
