ML Engineer

Job Summary We are seeking a skilled Machine Learning Engineer with expertise in building and optimizing recommendation systems. The ideal candidate will have hands-on experience designing, implementing, and scaling personalized recommendation models that enhance user engagement and drive business outcomes. This role involves working closely with cross-functional teams to deliver high-quality, production-ready machine learning solutions. Key Responsibilities Design and develop machine learning models for recommendation systems, including collaborative filtering, deep learning, and hybrid approaches Optimize models for scalability, performance, and real-time inference Collaborate with data scientists, engineers, and product teams to integrate models into production environments Evaluate and improve recommendation quality using metrics such as precision, recall, and user satisfaction Experiment with advanced techniques such as reinforcement learning and graph neural networks to enhance recommendation performance Required Qualifications 5+ years of experience in machine learning, with a focus on recommendation systems Proficiency in Python and machine learning frameworks such as TensorFlow, PyTorch, or similar Strong understanding of algorithms including matrix factorization, neural networks, and ranking systems Experience working with DataBricks and AWS Strong analytical and problem-solving skills with a focus on delivering impactful solutions Preferred Qualifications Experience implementing real-time recommendation systems at scale Familiarity with advanced machine learning techniques such as reinforcement learning or graph-based models