NextGenPros Inc

Artificial Intelligence Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Artificial Intelligence Engineer in San Jose, CA, on a contract basis. Requires 3-5 years of AI/ML experience, expertise in Python, LLM frameworks, cloud platforms (GCP preferred), and strong communication skills.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
November 20, 2025
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
San Jose, CA
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🧠 - Skills detailed
#AI (Artificial Intelligence) #Docker #GCP (Google Cloud Platform) #NumPy #Data Analysis #Python #Azure #Data Science #FastAPI #Monitoring #API (Application Programming Interface) #Libraries #PyTorch #Flask #Langchain #TensorFlow #ML (Machine Learning) #Pandas #Cloud #Deep Learning #AWS (Amazon Web Services)
Role description
Hi , I have AI/ML Engineer role for you. Please go through the JD and let me know if you are interested. Role: AI/ML Engineer Location: San Jose, CA Type: Contract Job Description: 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.