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Jobs(38,923)/ML Engineer Role(151)/Voodoo (7) - Senior ML Engineer
Voodoo

Voodoo - Senior ML Engineer

Remote - Paris, Île-de-France, France2mo ago
RemoteSeniorEMEACloud ComputingArtificial IntelligenceML EngineerPythonPrometheusGrafanaKubernetesDocker

Requirements

• 7+ years of experience in backend engineering, with a strong focus on designing and building scalable, high-performance systems. • Well-versed with machine learning and deploying models for inference in production. • Extensive experience in distributed systems, microservices, and API design using Python. • Hands-on experience with observability tools (e.g., Prometheus, Grafana) for metrics collection, log aggregation, and system monitoring. • Understanding of A/B testing concept and experience integrating them into backend systems for experimentation and optimization. • Proven ability to design, build, and manage cloud infrastructure using Kubernetes, Docker, and cloud-native tooling. Experience with other cloud providers is welcome, but AWS is preferred as it is our primary platform. • Solid experience with CI/CD pipelines, and infrastructure automation tools (e.g., Terraform). • A focus on building reliable, maintainable, and scalable systems, with experience in performance tuning and cost optimization. • Strong problem-solving skills, quality ownership and autonomy: able to take a task from design to production end-to-end - writing contract tests for upstream/downstream interfaces, verifying changes in staging, and treating CI as necessary but not sufficient. • Experience with OpenRTB and real-time bidding systems. • Expertise in real-time data processing and event-driven architectures (e.g., Kafka, GCP Pub/Sub, Kinesis) for building responsive, low-latency systems. • Genuine interest in understanding the full machine learning lifecycle - from modelization and training to serving and monitoring . • Experience with model serving frameworks (Triton Inference Server, TorchServe, TF Serving, Ray Serve, KServe, or similar) - deploying, configuring, and operating model servers in production. • Exposure to data science workflows and understanding how data engineers and data scientists collaborate in productionizing ML models. • Contributions to open-source projects or active involvement in technical communities related to backend engineering or machine learning. • Swile Lunch voucher • Gymlib (100% borne by Voodoo) • Premium healthcare coverage SideCare, for your family is 100% borne by Voodoo • Child day care facilities (Les Petits Chaperons rouges) • Wellness activities in our Paris office

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