Jobs at Fusemachines

Lead migration of the analytics environment from Azure to Microsoft Fabric, integrate GxP manufacturing and quality data, build and optimize ETL/ELT pipelines, implement data quality frameworks, scale platform performance for 500+ Power BI users, enforce monitoring/alerting, apply Azure security and CI/CD best practices, and collaborate with stakeholders during eastern-US business hours.

Design, build, and maintain scalable AWS-based data enrichment pipelines (Spark) and orchestrations (Airflow); use S3/Glue/Athena for storage, processing and querying; perform deep data quality analysis, implement validation/observability, troubleshoot tracking and delivery issues across hybrid systems, and collaborate on governance, lineage, and schema design to support media measurement and audience intelligence.

Convert data‑science prototypes into production ML services; build and operate Databricks/Spark pipelines reading/writing Snowflake; manage full model lifecycle (MLflow, CI/CD, retraining, drift monitoring); deliver/version audience segments to ad‑tech partners; ensure scalability, cost efficiency, privacy, and mentor engineers.

Build and validate statistical and ML models to create, expand, and score audience segments from multi-source data; perform data fusion, propensity/lookalike modeling, measurement (reach, overlap, lift), and partner with ML Engineering to productionize privacy-aware models.

Administer and maintain RHEL and OpenShift clusters on bare-metal, manage node lifecycle and hardware (Dell), apply patches/upgrades, monitor cluster and hardware health, support IBM Watson/Cloud Pak deployments, manage storage and backups, implement security hardening, coordinate vendor and colocation support, document runbooks and perform incident response.