Wayfair - Machine Learning Scientist II in Bangalore, भारत

Job Description : What you'll do : - Design, build, deploy and refine large-scale machine learning models and algorithmic decision-making systems that solve real-world problems for customers.- Work cross-functionally with commercial stakeholders to understand business problems or opportunities and develop appropriately scoped analytical solutions.- Collaborate closely with various engineering, infrastructure, and ML platform teams to ensure adoption of best-practices in how we build and deploy scalable ML services.- Identify new opportunities and insights from the data (where can the models be improved, what is the projected ROI of a proposed modification).- Be obsessed with the customer and maintain a customer-centric lens in how we frame, approach, and ultimately solve every problem we work https://jobeax.com/link/xfzVcIp9DZGznTYL Are a Match Because You Have : - 3+ years of industry experience with a Bachelor/ Master s degree or minimum of 1-2 years of industry experience with PhD in Computer Science, Mathematics, Statistics, or related field.- Strong theoretical understanding of statistical models such as regression, clustering and ML algorithms such as decision trees, neural networks, etc.- Solid understanding of algorithms for search retrieval, ranking, relevance, query understanding, NLP, or recommender systems.- Good proficiency in the Python ML ecosystem (pandas, NumPy, scikit-learn, XGBoost, etc.).- Solid hands-on expertise deploying machine learning solutions into production.- Strong written and verbal communication skills.- Intellectual curiosity and enthusiasm about continuous https://jobeax.com/link/2SEi4L3nTx9a0jku to have : - Experience in e-commerce, or online search systems.- Knowledge of modern NLP techniques (transformers, embeddings, semantic search).- Experience applying Generative AI / LLMs (e.g., GPT, LLaMA) to real-world problems such as search, personalization, or content generation.- Experience with deep learning frameworks like PyTorch.- Familiarity with vector databases, information retrieval frameworks (e.g., Elasticsearch, Vespa).- Familiarity with GCP (or AWS, Azure), ML model development frameworks, ML orchestration tools (Airflow, Kubeflow or MLFlow).- Experience with Apache Spark Ecosystem (Spark SQL, MLlib/Spark ML).Role Details : - Role : Data Science & Machine Learning - Other- Industry Type : Retail- Department : Data Science & Analytics- Employment Type : Full Time, Permanent- Role Category : Data Science & Machine Learning (ref:hirist.tech)