Job
Description
Role Overview Seeking a hands-on, founding Machine Learning Scientist or Principal ML Engineer to lead the design and deployment of core recommendation and personalization systems. You will own the end-to-end lifecycle of machine learning solutions—from design to deployment—while laying the groundwork for scalable, real-time ranking infrastructure and setting the technical vision and culture for a new product built from scratch. Key Responsibilities Design, develop, and deploy recommendation, ranking, and personalization systems Build real-time adaptive engines that continuously learn from user interactions and contextual signals Develop sophisticated ranking algorithms to power personalized user feeds Construct embedding systems, similarity models, and graph-based scoring frameworks Tackle cold-start and sparse data challenges through innovative ML techniques Collaborate with data, product, and engineering teams to deliver seamless user experiences Deploy models using fast iteration cycles, model registries, and observability tooling Help build and shape a high-impact ML engineering team and its technical culture What We Look For Skills: Deep expertise in recommendation systems, personalization, ranking, or search 3–10 years of experience building ML solutions in consumer-facing products (social, ecommerce, gaming, media, etc.) Familiarity with collaborative filtering, deep retrieval models (e.g., two-tower), learning-to-rank, embedding techniques with ANN search, and LLM-based strategies for sparse data Proven ability to build, evaluate, and deploy end-to-end ML pipelines Strong grasp of online/offline evaluation methods, A/B testing, and aligning ML metrics with product goals Qualifications  Required Experience: 3–10 years in building and deploying personalization, recommendation, search, or ranking systems Bonus Points: Experience with vector search, graph algorithms, real-time recommender systems, cold-start problem-solving, and online experimentation infrastructure Location: Gurugram What We Offer Competitive compensation and benefits A high-impact role as a founding member of the ML team Opportunities to shape product direction and influence user experience at scale A collaborative, fast-paced, and innovation-driven environment focused on solving meaningful problems Show more Show less
