17 Oct
|
Quantum Academics
|
Jubilee Hills
17 Oct
Quantum Academics
Jubilee Hills
What you will do
Cover Python, NumPy, Pandas, maths and statistics for ML, machine learning, neural networks, CNNs, transfer learning, computer vision with OpenCV, and basic reinforcement learning.
Guide student projects such as churn prediction, face recognition and image classifiers, and review their code.
Be patient with beginners: many students join with no coding background.
Must have
3+ years as a data scientist, ML engineer or computer vision engineer.
Robust Python, scikit-learn, and at least one of PyTorch or TensorFlow/Keras.
Hands-on with CNNs, transfer learning and OpenCV.
Has run a trained model on a small device or edge board (Raspberry Pi, NVIDIA Jetson or similar) using ONNX, TFLite or TensorRT.
Can teach the maths (linear algebra, probability, statistics)
in easy terms.
Can explain hard ideas in plain English, and in Telugu or Hindi when a student is stuck.
Good to have
Teaching, corporate training or mentoring experience.
Experience with synthetic data, simulation data, or medical imaging.
Reinforcement learning projects.
Kaggle or GitHub projects you can show us.
Pay: ₹600,000.00 - ₹1,000,000.00 per year
Perks:
Food provided
Experience:
teaching or corporate training : 1 year (Required)
software or AI/ML: 4 years (Required)
Work Location: In person
📌 Machine Learning And Deep Learning Trainer Jubilee Hills
🏢 Quantum Academics
📍 Jubilee Hills