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AI Training Program San Jose

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Before you apply
LocationRecent Computer Science Graduates, San Jose, United States
Work moderemote
Typecontract
SeniorityEntry
ExperienceUp to 2 yrs
DepartmentGeneral
Company size1+ people
PostedAug 6, 2025 · 1y ago
Verified live2d ago
May no longer be actively hiring
Posted by the company on Aug 6, 2025
How we check a job is still live
At a glanceSummarised by Seekless from the posting.
Recent graduate (within the past 1–2 years)
Strong foundation in Python programming
Interest in machine learning and data science
Must currently reside in the San Francisco Bay Area
Skills
Python
Pandas
NumPy
Scikit-learn
TensorFlow
PyTorch
Machine Learning
Data Preprocessing
Feature Engineering
Model Building
Data Science
Benefits
Remote flexibility
Mentorship
Certificate
Portfolio opportunity
Job Title: Python Trainee – Machine Learning Training Program (Bay Area Residents Only)
Location: Remote (Must reside in the San Francisco Bay Area)
About the role
Duration: 3-Month Training Program
🚀 About the Program
Are you a recent graduate eager to apply your Python skills in a real-world setting? We’re offering a unique 3-month remote training program designed to give hands-on experience working with a live company on real machine learning projects. This is more than just coursework — it’s a launchpad into your tech career.
🧠 What You’ll Learn
•
Practical machine learning workflows and model building
•
Data preprocessing, feature engineering, and evaluation
•
Tools like Pandas, NumPy, Scikit-learn, and TensorFlow/PyTorch
•
Working in a collaborative development environment
•
Exposure to real data and live project cycles
✅ Requirements
Recent graduate (within the past 1–2 years)
Strong foundation in Python programming
Interest in machine learning and data science
Must currently reside in the San Francisco Bay Area
🌍 Perks
•
Remote flexibility with local Bay Area network
•
Real-world mentorship and guidance
•
Certificate of completion and potential referrals
•
Opportunity to build portfolio-ready ML projects