The Role
Develop and optimize machine learning models, manage project priorities, and improve real-world solutions using advanced ML techniques.
Summary Generated by Built In
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.
Skills Required
- Bachelor's degree in Computer Science, Mathematics, or equivalent practical experience
- Python development experience for modeling
- Experience with deep learning frameworks including TensorFlow
Am I A Good Fit?
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.
Success! Refresh the page to see how your skills align with this role.
The Company
What We Do
Founded by the former Google MLops team behind Google Ads and Payments, Aidaptive is powering the next generation of digital commerce with an end-to-end autonomous intelligence platform
