2 - 6 years

0 Lacs

Posted:1 day ago| Platform: Shine logo

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On-site

Job Type

Full Time

Job Description

As a Machine Learning Engineer at Helsy Infotech Pvt. Ltd., based in Surat, you will be responsible for designing, building, and training machine learning models for various purposes like user churn prediction, retention scoring, engagement segmentation, and personalized push recommendation. Your role will involve collaborating with backend and Firebase teams to define user data pipelines, implementing model monitoring and continuous learning loops, and optimizing model performance for large datasets. Key Responsibilities: - Design, build, and train machine learning models for user churn prediction, retention scoring, engagement segmentation, and personalized push recommendation. - Collaborate with backend and Firebase teams to define and structure user data pipelines. - Implement model monitoring, A/B testing, and continuous learning loops. - Optimize model performance for large datasets (500K+ DAU scale). - Deploy AI models via APIs for real-time decision-making. - Maintain data integrity, privacy, and compliance with Google Play policies. Qualifications: - Bachelors or Masters degree in Computer Science, Data Science, or AI. - 2-5 years of relevant experience in ML model development and deployment. - Experience handling large-scale app analytics data. About the Company: Helsy Infotech Pvt. Ltd. is a fast-growing technology company based in Surat, specializing in mobile application development, AI/ML-based innovation, and digital transformation solutions. The company is passionate about building intelligent and user-centric mobile experiences powered by Artificial Intelligence. If you meet the required skills and qualifications, this is an exciting opportunity to work on cutting-edge AI-powered mobile projects in a collaborative onsite environment with a growth-focused culture. Competitive salary and performance-based incentives are offered, along with exposure to the latest AI/ML technologies and real-world mobile integration. Apply now at: https://forms.gle/9LMwCsmiTx6dBHKv8 Start Date: Immediate / As per candidate availability,

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