AI/Machine Learning Recommendation Specialist
2 weeks ago
About the Role:
As a Recommendation Systems Engineer at Hot or Not, you will play a key role in designing, building, and deploying cutting-edge machine learning algorithms to power our recommendation systems. Your work will involve video component analysis, video classification with a vector database, and user profile analysis to create a personalized video feed for our users. You will collaborate closely with data scientists, product managers, and engineers to drive user engagement and business metrics.
Responsibilities:
- Develop and implement machine learning models using Python and libraries such as TensorFlow, PyTorch, and scikit-learn.
- Work with large-scale video datasets and implement efficient video classification techniques.
- Collaborate with the product team to design and deploy recommendation models that meet business requirements.
Requirements:
- Bachelor's or Master's degree in Computer Science, Machine Learning, or a related field.
- Minimum 3+ years of experience in developing and implementing machine learning models.
- Strong understanding of recommendation algorithms and their applications.
- Familiarity with cloud computing platforms such as AWS or Azure.
What We Offer:
- Opportunity to work on cutting-edge machine learning projects.
- Collaborative and dynamic work environment with a talented team of engineers and data scientists.
- Competitive salary and benefits package.
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