Fusemachines
Sr. ML Engineer
Vaga remota de ML Engineering com fit claro de localização do candidato.
Publicada13 de jul. de 2026
Países elegíveis27 países aceitos
Sinal de senioridadeSenior
Modelo de trabalhoRemoto
Locais aceitos para candidatos
Resumo da vaga
Sr. ML Engineer
Requisitos e responsabilidades
Conteúdo da vaga extraído em seções para revisão mais rápida.
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.
Essential qualifications
- 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.
Desirable
- 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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