Jobs at Fusemachines

Develops and maintains Power BI dashboards and reports focused on cybersecurity KPIs, trends, and anomalies. Translates business requirements into data-driven insights using Python, SQL, Snowflake, AWS, and data pipelines. Optimizes data models and queries, integrates data with engineering teams, supports governance and security compliance, and trains stakeholders on BI tools.

Architects, develops, and deploys high-performance machine learning systems across the full lifecycle. Responsibilities include large-scale feature engineering, online and offline pipelines, tree-based and deep learning models, low-latency serving, MLOps automation, model monitoring, and rigorous experimentation. The role requires production-grade software engineering, distributed computing, statistical expertise, and experience shipping ML systems in high-scale environments.

Lead design, build, and support of scalable data pipelines and integrations using Microsoft Fabric, ADF, PySpark, SQL, ADLS Gen2, and Databricks Unity Catalog. Drive Azure-to-Fabric migration, stabilize pipelines, tune performance, manage data governance, troubleshoot issues, document designs, mentor team members, and collaborate with stakeholders in Life Sciences regulatory environments during US Eastern hours.