What you’ll do
• Design, build, deploy and refine large-scale machine learning/AI models and algorithmic decision-making systems that solve real-world problems for customers
• Work cross-functionally with engineers, analysts, product managers and commercial stakeholders to understand business problems, opportunities and develop appropriately scoped ML solutions
• Collaborate closely with various infrastructure, and ML platform teams to develop production grade services that follow best-practices in how we build and deploy scalable ML services
• Build cutting edge robust ML models and systems that directly impact our customers every day
• 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 on

What you’ll need
• Bachelor's degree with 3-5 years or Master’s degree with 2-4 years of experience in Computer Science, Mathematics, Statistics, or related field




• Proficiency in Python or one other high-level programming language.
• A strong theoretical understanding and solid hands-on experience working with machine learning algorithms.
• Classical ML and deep learning techniques across NLP, sequence modeling, RL, Recommendation systems, clustering, and time series.
• Experience with Python ML ecosystem (numpy, sklearn, pytorch, XGBoost, etc.)
• Solid written and verbal communication skills, ability to synthesize conclusions for non-experts, and overall bias towards simplicity and efficiency
• Intellectual curiosity and enthusiasm about continuous learning

Nice to have
• Designing end-to-end ML solutions from prototype to production.
• Experience in deploying ML workflows/models in production system
• Building or experimenting with LLMs, retrieval systems, generative models, and agentic AI workflows
• Familiarity with cloud based compute approach

📌 Machine Learning Scientist II (Bengaluru)
🏢 Wayfair
📍 Bengaluru