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High competition due to popular ML title, mid-level expectation, metro location, and broad skill requirements.
Low - core ML and programming skills are broadly transferable across industries.
Medium; requires a degree, ML libraries and programming skills but no strict years specified.
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Support deployment and maintenance of machine learning models under senior engineer guidance.
Perform data preprocessing, feature engineering, model training, testing, validation, and evaluation tasks.
Collaborate on project milestones, code reviews, and documentation of model performance and results.
Bachelor's degree in Computer Science, Engineering, Mathematics, or related field.
Basic understanding of machine learning algorithms and data structures.
Experience with Python, R, or Java and data manipulation libraries like NumPy and Pandas.
Work Experience Required: Not explicitly mentioned in the JD.
Has internship or co-op experience in machine learning or data science, indicating familiarity with practical applications.
Familiar with machine learning libraries (e.g., scikit-learn, TensorFlow, Keras) and data visualization tools (Matplotlib, Seaborn).
Able to follow technical guidance and work collaboratively within a team environment.