Data Scientist (Recommendation Systems)

TL;DR

Data Scientist (Recommendation Systems): Improving Recommendation Systems for gifts and coins to drive product growth and monetization with an accent on end-to-end ML solutions. Focus on implementing MLOps best practices, optimizing model scalability, and solving complex data pipeline challenges.

Company

hirify.global is a global IT product company shaping the future of real-time social connection through live-streaming and social networking platforms.

What you will do

• Create and optimize machine learning models to enhance business performance and product effectiveness.
• Develop end-to-end ML solutions, from roadmap definition and experimentation to production deployment.
• Implement MLOps best practices for model deployment, monitoring, and retraining.
• Collaborate with Product Managers, Analysts, and Engineers to deliver innovative ML-driven features.
• Apply optimization techniques to improve model accuracy and efficiency.
• Troubleshoot and resolve technical issues in ML models and data pipelines.

Requirements

• Expertise in machine learning algorithms and data structures.
• Experience with model optimization techniques for scalability and efficiency.
• Ability to implement and maintain MLOps in production environments.
• Proven track record of developing end-to-end ML solutions.
• Strong collaborative skills for working in cross-functional product teams.