🕒 14 days ago
As a Machine Learning Engineer, you will develop AI/ML capabilities to enhance customer engagement experiences, ensuring seamless interactions across applications and channels.
Machine Learning Engineer
📅 Apr 4, 2022
Machine LearningPythonTensorflowDeep Learning
📜 Description
- Develop solutions for real-world, large-scale problems.
- Design, develop, test, maintain, and improve machine learning models.
- Manage project priorities, deadlines, and deliverables.
🛠️ Requirements
- Bachelor's degree in Computer Science, Mathematics, or equivalent practical experience.
- Python development experience for modeling.
- Experience with deep learning frameworks including TensorFlow and other machine learning libraries
- Master's or PhD degree in Computer Science, Artificial Intelligence, Machine Learning, or related technical field.
- Experience in building, deploying, and improving machine learning models and algorithms in real-world products.
- Experience with one or more of the following: natural language processing, computer vision, recommendation systems or similar.
Full job description
Role:
We're a global team with a track record of building world class enterprise products and are seeking talented Machine Learning Engineers to develop and optimize ML models.
Minimum qualifications:
- Bachelor's degree in Computer Science, Mathematics, or equivalent practical experience.
- Python development experience for modeling.
- Experience with deep learning frameworks including TensorFlow and other machine learning libraries
Preferred qualifications:
- Master's or PhD degree in Computer Science, Artificial Intelligence, Machine Learning, or related technical field.
- Experience in building, deploying, and improving machine learning models and algorithms in real-world products.
- Experience with one or more of the following: natural language processing, computer vision, recommendation systems or similar.
Responsibilities:
- Develop solutions for real world, large scale problems.
- Design, develop, test, maintain and improve Machine Learning models.
- Manage project priorities, deadlines, and deliverables.
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