AI / ML Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI/ML Engineer with 3-5 years of experience, focusing on LLM frameworks, Python, and deep learning. Contract length is unspecified, with a pay rate of "unknown." Remote work is available. GCP experience is preferred.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
September 5, 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
New York, NY
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🧠 - Skills detailed
#Python #Data Science #Azure #Pandas #Monitoring #GCP (Google Cloud Platform) #Langchain #FastAPI #NumPy #Cloud #Libraries #PyTorch #TensorFlow #AWS (Amazon Web Services) #API (Application Programming Interface) #Docker #Flask #ML (Machine Learning) #Deep Learning #Data Analysis #AI (Artificial Intelligence)
Role description
Job Description
AI Engineer:
Required Skills & Experience
• 3-5 years of professional experience in an AI or Machine Learning engineering role.
• Hands-on experience with LLM frameworks and tools like LangChain , LlamaIndex 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.
Preferred Qualifications
• Experience deploying models using API frameworks such as FastAPI or Flask.
• Knowledge of MLOps principles and tools for CI/CD, model monitoring, and lifecycle management.
• A portfolio of projects or contributions to open-source AI/ML libraries.
Job Description
AI Engineer:
Required Skills & Experience
• 3-5 years of professional experience in an AI or Machine Learning engineering role.
• Hands-on experience with LLM frameworks and tools like LangChain , LlamaIndex 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.
Preferred Qualifications
• Experience deploying models using API frameworks such as FastAPI or Flask.
• Knowledge of MLOps principles and tools for CI/CD, model monitoring, and lifecycle management.
• A portfolio of projects or contributions to open-source AI/ML libraries.
