
Data Science Innovator
4 days ago
As a skilled Machine Learning Engineer, you will play a pivotal role in driving innovation in recommendation systems and automation models.
Responsibilities:- Develop Personalized Recommendation Systems: Design and implement machine learning algorithms to match speakers with suitable events based on user interests.
- Build Data Pipelines: Develop and optimize data pipelines to ensure seamless integration with vector databases, enhancing model accuracy.
- Collect and Analyze Data: Manage data collection processes to improve model performance and make data-driven decisions.
- Implement Scalable Solutions: Translate business requirements into efficient machine learning solutions that meet scalability needs.
Requirements:
- Hold a degree in Data Science, Machine Learning, Computer Science, or a related field from a reputable institution.
- Have proficiency in Python and experience with popular machine learning frameworks (TensorFlow, PyTorch, scikit-learn).
- Be familiar with vector databases and have experience implementing recommendation systems.
- Possess strong analytical skills combined with an understanding of business objectives.
- Demonstrate ability to manage projects independently, from initial concept through implementation and evaluation.
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