Fusemachines

Sr. ML Engineer

Rol remoto de ML Engineering con fit claro de ubicación del candidato.

Publicado13 jul 2026

Países elegibles27 países aceptados

Señal de senioritySenior

Modelo de trabajoRemoto

Ubicaciones aceptadas para candidatos

ArgentinaBahamasBarbadosBeliceBoliviaBrasil+21 más

Resumen del rol

Contenido del rol extraído en secciones para revisar más rápido.

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.

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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