AI and Machine Learning Engineering Graduate
Core
Develops and programs integrated software algorithms to structure, analyze, and leverage structured and unstructured data in product and systems applications using machine learning and statistical modeling.
Role type
Junior IC machine learning engineer
Builds
AI/ML products, solutions, and systems improvement projects
Domain
Enterprise edge-to-cloud computing and data analytics
Deliverable
production ML models
Required skills
Python, R, Java, TensorFlow, PyTorch, scikit-learn, SQL, data pre-processing, feature engineering, model training, hyperparameter tuning, supervised/unsupervised learning, deep learning, neural networks, natural language processing, statistics, probability, linear algebra, calculus, optimization methods, data visualization
Preferred skills
Master's degree in relevant field
Technologies
TensorFlow, PyTorch, scikit-learn, Matplotlib, Tableau
Responsibilities
Design, develop, and implement AI and machine learning models; gather and analyze data sets to train and test ML models; optimize algorithms and models to improve performance; collaborate with cross-functional teams including data scientists and software engineers; document project methodologies, code, and experimental results; participate in design review sessions and stand-up meetings; prepare and deliver technical presentations and reports to stakeholders.
Seniority
Junior, 0-2 years experience