Aidaptive
Machine Learning Engineer
TLDR
Develop and optimize ML models for enterprise products as part of a global team.
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.
Benefits
Remote-Friendly
Fully remote role
Aidaptive delivers predictive personalization engines specifically designed for eCommerce and hospitality sectors, turning data into actionable insights that drive revenue with minimal effort. Leveraging over 50 years of combined machine learning expertise, our platform enables companies to seamlessly implement end-to-end machine learning solutions that enhance customer engagement and increase sales.
Machine Learning Engineer