ML Engineer

  • 41119
  • Non-Life - AI & Machine Learning Engineering
  • |
  • California, United States
  • |
  • 4 days ago
RESPONSIBILITIES
  •  Design and deploy scalable MLOps infrastructure to support AI and ML initiatives
  •  Build and maintain data pipelines for model training, testing, deployment, and monitoring
  •  Partner with product, engineering, and security teams to deliver reliable, production-ready AI solutions
  •  Establish best practices for model versioning, monitoring, and lifecycle management
  •  Support the rollout of AI and GenAI features across products, driving measurable business value
  •  Contribute to the launch of new AI-powered capabilities and innovations
  •  Mentor engineers and promote a culture of continuous learning and responsible AI use
QUALIFICATIONS
  • · Apply AI and data-driven insights to drive innovation, efficiency, and continuous improvement
  • · Strong experience designing and operating end-to-end MLOps pipelines
  • · Proficient in Python and modern ML frameworks
  • · Hands-on experience with cloud platforms and containerized deployments
  • · Solid foundation in data engineering, model monitoring, and ML CI/CD
  • · Strong problem-solving, collaboration, and communication skills
  • · Experience in insurance, regulated industries, or large-scale data platforms
  • ->SALARY: 140-200k
  • Top of Form