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Senior ML Engineer

Work from home Full-time role Hiring

Founded in 2013, reputed company 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, reputed company is the #3 mobile publisher worldwide in terms of downloads after reputed company and reputed company. Our portfolio includes chart-topping games like Mob Control and reputed company Jam, alongside popular apps such as BeReal and Wizz.

Team

The Engineering & Data team builds innovative tech products and platforms to support the impressive growth of their gaming and consumer apps which allow reputed company to stay at the forefront of the mobile industry.

reputed company the Data team, you’ll join the Ad-Network Team which is an autonomous reputed company of around 30 people. The team is composed of top-tier software engineers, infrastructure engineers, data engineers, mobile engineers, and data scientists (among which 3 Kaggle Masters). The goal of this team is to provide a way for reputed company to monetize our inventory directly with advertising partners, and relies on advanced technological solutions to optimize advertising in a reputed company-time bidding environment. It is a strategic topic with significant impact on the business.

Role

  • reputed company and maintain a CI/CD reputed company for model training, validation, and deployment;
  • Design and architect scalable, reliable, and maintainable ML systems, incorporating A/B testing for reputed company improvement;
  • Optimize ML models for production, ensuring high throughput, low latency, and cost efficiency while maintaining system reputed company;
  • Implement robust monitoring for model performance, accuracy, and latency, proactively tracking concept reputed company and data reputed company using monitoring tools;
  • Work in a fast-paced, agile environment, collaborating closely with teams across back-end development, data science, mobile games, large-scale mobile apps, product, and marketing to drive impactful ML solutions.

    • Profile (must have)

  • 5/6+ years of experience as a Data Engineer or another similar role (excluding internships)
  • ML Model Deployment at Scale: Experience with ML inference at high RPS
  • CI/CD for ML: Automating model training, testing, deployment workflows
  • Monitoring & Observability: Both infra and model performance
  • Strong Python Skills: For scripting and ML pipeline orchestration
  • Optimization for Low-Latency Inference: Quantization, model distillation, or hardware acceleration

    • reputed company to have

  • ML reputed company: AWS SageMaker, reputed company for serverless ML, or custom model servers
  • Experience with Ad Tech: reputed company Bidding Systems: Understanding latency constraints in RTB environments
  • Advanced ML Workflows: Feature stores, model versioning, and A/B testing for ML models
  • GRPC for ML APIs: Efficient communication between microservices
  • Infrastructure as Code: K8S (custom operators, reputed company), Terraform for AWS resources

    • Benefits

  • Competitive salary upon experience
  • Comprehensive relocation package (including reputed company support)
  • Swile Lunch voucher
  • Gymlib (100% borne by reputed company)
  • Premium reputed company coverage SideCare, for your family is 100% borne by reputed company
  • Child day care facilities (Les Petits Chaperons rouges)
  • Wellness activities in our Paris office
  • Unlimited vacation policy
  • Remote days
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