RandomTrees
GenAI Lead
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a GenAI Lead with a contract length of "unknown" and a pay rate of "unknown," located in "unknown." Key skills include expertise in Python, LLM frameworks, deep learning, and cloud platforms, particularly GCP.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
December 9, 2025
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
San Francisco Bay Area
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🧠 - Skills detailed
#AI (Artificial Intelligence) #Docker #PyTorch #TensorFlow #Python #Langchain #Azure #AWS (Amazon Web Services) #Data Science #NumPy #Deep Learning #Cloud #ML (Machine Learning) #Pandas #GCP (Google Cloud Platform) #Data Analysis
Role description
Professional experience in an AI or Machine Learning engineering role at the capacity of Lead/ Architect.
• Hands-on experience with LLM frameworks and tools like LangChain , Llama Index etc
• Expertise in Python and its data science ecosystem (e.g., Pandas, NumPy, Scikit-learn).
• Proven experience with one or more deep learning frameworks, such as TensorFlow or PyTorch.
• Hands-on experience with a major cloud platform (AWS, Azure, or GCP) for training and deploying machine learning models. (GCP Preferred)
• Experience with generative AI and Large Language Models (LLMs).
• Proficiency in data analysis, statistical modeling, and machine learning theory.
• Experience with containerization technologies (e.g., Docker) and deploying models as APIs.
• Excellent communication skills and a proven ability to collaborate effectively in a team environment.
Professional experience in an AI or Machine Learning engineering role at the capacity of Lead/ Architect.
• Hands-on experience with LLM frameworks and tools like LangChain , Llama Index etc
• Expertise in Python and its data science ecosystem (e.g., Pandas, NumPy, Scikit-learn).
• Proven experience with one or more deep learning frameworks, such as TensorFlow or PyTorch.
• Hands-on experience with a major cloud platform (AWS, Azure, or GCP) for training and deploying machine learning models. (GCP Preferred)
• Experience with generative AI and Large Language Models (LLMs).
• Proficiency in data analysis, statistical modeling, and machine learning theory.
• Experience with containerization technologies (e.g., Docker) and deploying models as APIs.
• Excellent communication skills and a proven ability to collaborate effectively in a team environment.
