Company Description
Global Efficiency Management builds adaptable technical teams to solve complex technical problems and help businesses scale. The management team closely monitors projects to ensure success, and technical teams continuously learn new skills to adapt to the evolving technical landscape.
Role Description
This is a remote contract role for a Machine Learning Engineer at Global Efficiency Management. The Machine Learning Engineer will be responsible for tasks such as pattern recognition, developing neural networks, analyzing statistics, and implementing algorithms to solve complex technical challenges.
Qualifications
- Expertise in Pattern Recognition, Neural Networks, and Algorithms
- Strong background in Computer Science and Statistics
- Experience in developing and implementing machine learning algorithms
- Proficiency in programming languages like Python
- Ability to work independently and remotely
- Excellent problem-solving and analytical skills
- Master's or Ph.D. in Computer Science, Machine Learning, or related field