AI/ML Engineer, Entry Level

About the Role

The AI/ML Engineer – Entry Level will contribute to the development and implementation of machine learning models and algorithms to address real-world problems. This is a full-time, remote position suited to candidates with a foundation in computer science, statistics, and machine learning who are interested in building practical AI solutions. The role involves preparing data, experimenting with different learning techniques, and developing, training, and evaluating predictive models, including neural networks.

Key Responsibilities

• Collect and preprocess data for machine learning applications.
• Experiment with supervised and unsupervised learning techniques.
• Develop, train, and evaluate machine learning models and algorithms.
• Work with neural networks and other predictive systems to solve practical problems.
• Apply statistical methods and data analysis techniques to design experiments and assess model performance.

Requirements & Tech Stack

• A strong foundation in computer science and algorithms, including data structures and computational complexity.
• Understanding of pattern recognition, neural networks, and the fundamentals of supervised and unsupervised learning.
• Knowledge of statistics, probability, and data analysis for designing experiments and evaluating model performance.
• Familiarity with programming languages used in AI and machine learning, such as Python.
• Familiarity with machine learning libraries and frameworks such as TensorFlow, PyTorch, or scikit-learn.
• A bachelor's degree in computer science, data science, mathematics, engineering, or a related field, or equivalent practical experience.

Work Arrangement

• Full-time position.
• Remote work arrangement.