Sr. Machine Learning Engineer (Recommendation Systems)

8+ years of experience in backend engineering and/or data science 4+ years focused on machine learning Experience with recommendation systems is a big plus Strong coding skills in Python Proficiency in using ML frameworks like PyTorch or TensorFlow Excellent analytical and problem-solving skills Proven track record of leading projects and delivering impactful machine learning solutions Strong communication and documentation skills Experience with Amazon SageMaker or similar MLOps platforms

Design, build, and optimize advanced algorithms for SVOD, Live TV, and FAST personalization. Conduct deep dives into models and system components for performance, scalability, and robustness. Build and maintain reliable pipelines for data extraction, feature engineering, model training, testing, and deployment. Translate product requirements into ML solutions and deliver measurable improvements in user engagement. Apply frameworks like TensorFlow, PyTorch, or similar to develop recommendation models. Conduct rigorous A/B testing and ML experiments. Contribute to the strategic planning of the recommendations roadmap. Experience with frameworks like Two-Tower models and Deep Cross Networks (DCN) is a strong plus.