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Intern - Machine Learning
1 week ago
About the Company
About the Role
As a
Machine Learning - Intern at our company, you will be responsible for designing and implementing machine learning models to solve real-world problems related to computer vision AI.
Responsibilities:
- Collect, clean, and preprocess large datasets to ensure data quality and suitability for machine learning tasks.
- Create relevant features from raw data and design strategies for effective feature selection.
- Train and evaluate machine learning models for various tasks, such as classification, regression, clustering, and recommendation systems.
- Deploy machine learning models into production environments, ensuring scalability and reliability.
- Continuously improve model performance through experimentation, hyper parameter tuning, and advanced techniques.
- Collaborate with crossfunctional teams including ML Engineers, software engineers, and domain experts to deliver integrated solutions.
- Develop monitoring systems to ensure model performance and make necessary updates and improvements as needed.
Requirements and Skills
- Enrolled in a Bachelor's or Master's program in Computer Science, Data Science, Machine Learning, or a related field.
- Strong understanding of Machine Learning fundamentals and algorithms.
- Proficiency in programming languages such as Python, and familiarity with ML libraries like TensorFlow or PyTorch is a plus.
- Basic knowledge of data preprocessing, feature engineering, and model evaluation.
- Excellent problemsolving skills and attention to detail.
- Strong communication and teamwork skills.
- Eagerness to learn and adapt in a fastpaced environment.
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