**Introduction** N/A **Your role and responsibilities** ● 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. **Required technical and professional expertise** ● 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. **Preferred technical and professional experience** ● 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. IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.