Senior ML Engineer at Voodoo - ScoutJobs - The AI-curated global job board
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Posted a day ago

Senior ML Engineer

VoodooSenior ML Engineer

Perks & benefits

VisaHealth Insurance

Requirements

7+ years backend engineering experience, Machine learning model deployment, Python distributed systems, Kubernetes and Docker, CI/CD and Terraform

Skills

PythonKubernetesMachine Learning

About the role

About the Company

Founded in 2013, Voodoo is a tech company that creates mobile games and apps with a mission to entertain the world. Gathering 800 employees, 7 billion downloads, and over 200 million active users, Voodoo is the #3 mobile publisher worldwide in terms of downloads after Google and Meta.

Responsibilities

  • Lead the design and architecture of backend services for real-time model inference and bidding decisions
  • Collaborate with data scientists to deploy, monitor, and optimize ML models for bidding strategies and pricing
  • Oversee the development of A/B testing frameworks and experimentation tools
  • Ensure backend services are high-performance, low-latency, and scalable for millions of events per second
  • Set best practices for architecture, API design, and distributed systems
  • Work with cloud infrastructure teams using Kubernetes, Docker, and CI/CD pipelines
  • Partner with product managers to define and implement new features and optimizations
  • Optimize performance and cost-efficiency across backend infrastructure
  • Monitor system performance and perform post-deployment analysis

Requirements

  • 7+ years of experience in backend engineering with a focus on scalable, high-performance systems
  • Experience with machine learning and deploying models for production inference
  • Extensive experience in distributed systems, microservices, and API design using Python
  • Hands-on experience with observability tools like Prometheus and Grafana
  • Understanding of A/B testing concepts and integration into backend systems
  • Proven ability to manage cloud infrastructure using Kubernetes and Docker (AWS preferred)
  • Solid experience with CI/CD pipelines and infrastructure automation tools like Terraform
  • Strong problem-solving skills and end-to-end ownership from design to production

Preferred Qualifications

  • Experience with OpenRTB and real-time bidding systems
  • Expertise in real-time data processing and event-driven architectures (Kafka, Kinesis, etc.)
  • Experience with model serving frameworks (Triton, TorchServe, TF Serving, etc.)
  • Understanding of the full machine learning lifecycle
  • Contributions to open-source projects or technical communities
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Senior ML Engineer

Voodoo · Paris

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