Description

You will design, develop, and optimize recommendation systems using collaborative filtering, content-based, and hybrid approaches.

Responsibilities

• Build and maintain scalable machine learning pipelines for both real-time and batch processing.
• Partner with Data Science, Engineering, and Product teams for end-to-end deployment.
• Evaluate model performance using metrics such as precision, recall, and user engagement.
• Implement advanced methodologies including reinforcement learning and graph neural networks.

Required Skills

• 5+ years of hands-on experience in machine learning with a strong focus on recommendation systems.
• PhD in Computer Science, Machine Learning, Data Science, or a related field.
• Strong programming expertise in Python.
• Proficiency with machine learning frameworks such as TensorFlow and PyTorch.
• Deep understanding of algorithms including matrix factorization, neural networks, clustering, and ranking systems.
• Experience working with cloud platforms and big data tools such as AWS and Databricks.
• Strong analytical, problem-solving, and communication skills.

Key Skills

Education

Any Gradute