Machine Learning Engineer Intern

Key Responsibilities:

1. Process and analyze data: Collect, clean, and preprocess data from diverse sources.
2. Develop and implement ML models: Assist in building, training, and evaluating machine learning algorithms.
3. Integrate ML solutions: Help deploy and integrate models into existing systems.
4. Optimize performance: Support the continuous evaluation and improvement of model performance.

Qualifications:

1. Currently pursuing a degree in Computer Science, Data Science, or a related technical field.
2. Solid grasp of machine learning fundamentals and common algorithms.
3. Proficiency in Python and key libraries like NumPy, Pandas, Scikit-learn, TensorFlow/PyTorch.
4. Familiarity with cloud platforms (GCP etc.).
5. Experience with version control (Git).
6. Relevant personal projects or academic work in the areas of computer vision.
7. Strong problem-solving skills and an eagerness to learn.