Senior Engineer- Machine Learning Platform

6 days ago

Bengaluru, Karnataka, India Crowdstrike Full time US$ 1,50,000 - US$ 2,00,000 per year

About the Role:

We're seeking an exceptional Senior ML Platform Engineer to join our elite team in building next-generation machine learning infrastructure. You'll be at the forefront of developing scalable ML platforms that power CrowdStrike's threat detection and prevention capabilities, processing data at unprecedented scale.

Role & responsibilities

Architecture & Development

  • Design and implement enterprise-scale ML infrastructure using Ray, Kubernetes, and cloud-native technologies
  • Architect high-performance model serving solutions handling millions of predictions per second
  • Build robust, scalable systems for model training, deployment, and monitoring
  • Lead technical decisions for critical ML platform components

MLOps & Infrastructure

  • Develop automated ML pipelines using Airflow and MLflow
  • Implement sophisticated monitoring and observability solutions
  • Optimize resource utilization across distributed computing environments
  • Design fault-tolerant, highly available ML systems

Performance Engineering

  • Optimize large-scale distributed systems for maximum throughput
  • Implement advanced memory management strategies for ML workloads
  • Design and optimize real-time inference systems
  • Tune system performance for production-grade ML operations

Preferred candidate profile

  • 8+ years of software engineering experience with distributed systems
  • 4+ years of hands-on experience building ML platforms
  • Deep expertise in Python and modern ML infrastructure tools
  • Proven experience with Kubernetes, containerization, and cloud platforms
  • Strong background in performance optimization and scalability
  • Experience with Ray, JupyterHub, MLflow, or similar ML platforms
  • Distributed Systems: Ray, Kubernetes, Docker or similar large scale distributed systems
  • ML Platforms: MLflow, Kubeflow, JupyterHub, Kubeflow
  • Infrastructure: AWS/GCP/Azure, Terraform
  • Languages: Python, Go
  • Observability: Prometheus, Grafana
  • CI/CD: GitLab, Jenkins

What Sets You Apart:

  • Contributions to open-source ML infrastructure projects
  • Experience with real-time, high-throughput inference systems
  • Background in cybersecurity or threat detection
  • Track record of leading technical initiatives
  • Experience with large-scale data processing systems

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