World Salon is looking for a Machine Learning Engineer to build recommendation systems and automation models. The responsibility will be developing algorithms and data models to match speakers with suitable events and recommend events to users' interests. The candidate will contribute to data collection strategies, optimize existing datasets, and implement machine learning models using Python and vector databases.

Responsibilities:

Build and maintain ML algorithms for speaker-event matching and personalized event recommendations.
Develop and optimize data pipelines and vector database integrations.
Manage data collection processes to enhance model accuracy.
Analyze business requirements and translate them into scalable ML solutions.

Qualifications:

Degree from a leading university in Data Science, Machine Learning, Computer Science, or a related field, or significant equivalent experience.
Proficiency in Python and experience with machine learning frameworks (TensorFlow, PyTorch, scikit-learn, etc.).
Experience working with vector databases and implementing recommendation systems.
Strong analytical capabilities combined with an understanding of business objectives.
Ability to manage projects independently, from initial concept through implementation and evaluation.

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Machine Learning Engineer