Three-month remote training for Bay Area residents to gain hands-on experience with real ML projects: model building, data preprocessing, feature engineering, evaluation, and collaborative development using Pandas, NumPy, scikit-learn, and TensorFlow/PyTorch. Includes mentorship, portfolio projects, and a completion certificate.
Job Title: Python Trainee – Machine Learning Training Program (Bay Area Residents Only)
Location: Remote (Must reside in the San Francisco Bay Area)
Duration: 3-Month Training 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.
- 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
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
- 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
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Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
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