N/A
● Assist in data preprocessing, cleaning, and exploration.
● Implement machine learning algorithms and techniques.
● Experiment with different models and parameters to optimize performance.
● Collaborate with data scientists to understand and translate business requirements into technical solutions.
● Develop and maintain machine learning pipelines.
● Stay updated with the latest advancements in machine learning.
● Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field.
● Strong programming skills in Python and proficiency in relevant libraries (NumPy, Pandas, Scikit-learn).
● Understanding of machine learning concepts and algorithms (linear regression, logistic regression, decision trees, random forests, etc.).
● Ability to work with large datasets and perform data analysis.
● Strong problem-solving and analytical skills.
● Excellent communication and teamwork abilities.
● A passion for learning and exploring new technologies.
● Experience with deep learning frameworks (TensorFlow, PyTorch).
● Knowledge of cloud platforms (AWS, Azure).
● Exposure to big data technologies (Hadoop, Spark).
● Participation in machine learning competitions or projects.