Note: The job is a remote job and is open to candidates in USA. Fusemachines is a leading AI strategy, talent, and education services provider. They are seeking a Senior ML Engineer to turn audience science into scalable production systems, working with terabyte-scale data to build and deliver audience segments across various platforms while bridging data science and platform engineering.
Responsibilities
- Convert data science prototypes (propensity, lookalike, segmentation, fusion) into reproducible, production-quality ML services
- Build and operate large-scale data/feature pipelines on Databricks + Spark, reading from and writing to Snowflake, producing versioned audience segments on schedule
- Own the full model lifecycle: MLflow tracking/registry, CI/CD (Azure DevOps or GitHub Actions), automated retraining, drift monitoring, and rollback
- Engineer the activation layer, governed delivery of segments and scores into DSPs/SSPs, DMP/CDP, clean rooms, and CTV/social/programmatic partners, including identity resolution and onboarding
- Ensure scalability, latency, cost-efficiency, and reproducibility across Azure (ADLS, Azure ML, AKS); support batch and near-real-time scoring
- Enforce privacy-by-design: data minimization, access controls, encryption, and clean-room-compatible patterns
Skills
- 8–9 years hands-on ML engineering, shipping and operating production systems at scale
- Prior experience in media / advertising / audience activation
- Databricks (incl. MLflow and Spark), Snowflake, and production Azure (ADLS, Azure ML, Azure DevOps, AKS)
- Expert Python and ML ecosystem; strong SQL at scale
- Strong applied statistics (sampling/weighting, forecasting, causal inference, or experimental design)
- CS/engineering degree with strong quantitative foundations
- Agile practices, Docker/Kubernetes, advanced Databricks/Snowflake (Structured Streaming, tuning, Model Serving/Feature Store), orchestration (Databricks Workflows, Airflow, Dagster)
- Ad tech/identity experience: DSP/SSP, DMP/CDP, clean rooms (LiveRamp, Snowflake), identity graphs, onboarding, delivery APIs
- AWS/GCP a plus
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