Machine Learning Scientist I, Predictive Search & Guidance

As a Machine Learning Scientist I at Wayfair in Bangalore, India, your role will involve designing, building, deploying, and refining large-scale machine learning/AI models and algorithmic decision-making systems to solve real-world problems for customers. You will work cross-functionally with commercial stakeholders, engineers, analysts, and product managers to develop ML solutions that drive real-world impact. Collaboration with various infrastructure and ML platform teams is essential to develop production-grade services following best practices. Additionally, you will be responsible for building cutting-edge robust ML models that directly impact customers every day and identifying new opportunities and insights from data. Key Responsibilities: - Design, build, deploy, and refine large-scale machine learning/AI models and algorithmic decision-making systems - Work cross-functionally with stakeholders to understand business problems and develop appropriately scoped ML solutions - Collaborate with infrastructure and ML platform teams to develop production-grade services - Build cutting-edge robust ML models that directly impact customers daily - Identify new opportunities and insights from data to improve models and project ROI - Maintain a customer-centric lens in problem-solving approaches Qualifications Required: - 1+ years of industry experience with a Master's or a Bachelor's degree in Computer Science, Mathematics, Statistics, or related field - Proficiency in Python ML ecosystem (numpy, pandas, sklearn, XGBoost, etc.) - Strong theoretical understanding and hands-on experience with machine learning algorithms - Strong written and verbal communication skills with a bias towards simplicity and efficiency - Intellectual curiosity and enthusiasm about continuous learning Nice to have: - Prior experience or understanding of search, recommendations, and ranking in an e-commerce setting - Experience with Apache Spark Ecosystem or Java - Familiarity with cloud-based compute approaches, ML model development frameworks, and ML orchestration tools - Experience with Kubernetes and Docker - Track record of publishing or work related projects showing ability to develop cutting-edge AI systems Wayfair Inc. is a global online destination for the home, reinventing the way people shop for their homes through industry-leading technology and creative problem-solving. If you are seeking rapid growth, constant learning, and dynamic challenges, Wayfair offers amazing career opportunities. (Note: No additional details of the company were provided in the job description),