Machine Learning Engineer

Okemos, MI - USA

Monthly Salary: Not Disclosed

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

Programming Skills

These are essential because ML engineers implement and optimize models.

Python (most important)
C or Java (for performance-heavy systems)
SQL (for querying data)
Libraries & frameworks:
- NumPy
- Pandas
- Scikit-learn
- PyTorch
- TensorFlow
Mathematics & Statistics
Machine learning algorithms rely heavily on math.

Key topics:
Linear Algebra (vectors matrices)
Probability & Statistics
Calculus (gradients optimization)
Optimization techniques

Machine Learning & AI Concepts

You must understand algorithms not just run them.

Important topics:

Supervised Learning
Unsupervised Learning
Reinforcement Learning
Feature Engineering
Model Evaluation (accuracy precision recall)
Bias-variance tradeoff

Popular algorithms:

Linear/Logistic Regression
Decision Trees
Random Forest
Gradient Boosting
Support Vector Machines
Neural Networks

Programming Skills These are essential because ML engineers implement and optimize models. Python (most important) C or Java (for performance-heavy systems) SQL (for querying data) Libraries & frameworks: NumPy Pandas Scikit-learn PyTorch TensorFlow Mathematics & Statistics Mac...