Sr. ML Engineer

{ "@type": "Organization", "name": "Fusemachines", "url": "https:\/\/www.fusemachines.com\/" } { "@context": "http:\/\/schema.org\/", "@type": "JobPosting", "url": "https:\/\/jobs.fusemachines.com\/apply\/qwM2nheCPZ\/Sr-ML-Engineer", "title": "Sr. ML Engineer", "description": "About FusemachinesFusemachines is a leading AI strategy, talent, and education services provider. Founded by Sameer Maskey Ph.D., Adjunct Associate Professor at Columbia University, Fusemachines has a core mission of democratizing AI. With a presence in 4 countries (Nepal, the United States, Canada, and the Dominican Republic) and more than 450 full-time employees, Fusemachines brings global AI expertise to transform companies worldwide. Founded in 2013, Fusemachines is a global provider of enterprise AI products and services, on a mission to democratize AI. Leveraging proprietary AI Studio and AI Engines, the company helps drive the clients’ AI Enterprise Transformation, regardless of where they are in their Digital AI journeys. With offices in North America, Asia, and Latin America, Fusemachines provides a suite of enterprise AI offerings and specialty services that allow organizations of any size to implement and scale AI. Fusemachines serves companies in industries such as retail,  manufacturing, and government.Fusemachines continues to actively pursue the mission of democratizing AI for the masses by providing high-quality AI education in underserved communities and helping organizations achieve their full potential with AI.

Turn audience science into scalable production systems that help advertisers decide whom to reach. Working with terabyte-scale data, you'll build, score, refresh, and deliver audience segments to activation endpoints across DSPs, clean rooms, CTV, social, and programmatic partners. You bridge data science and platform engineering—converting prototypes into production-grade services and owning the pipelines, MLOps, and integrations behind them. As a senior team member, you'll set engineering standards, lead end-to-end system design, and mentor other engineers. Stack: Databricks, Spark, Snowflake, and Azure.ResponsibilitiesConvert data science prototypes (propensity, lookalike, segmentation, fusion) into reproducible, production-quality ML services.Build and operate large-scale data\/feature pipelines on