Position: ML Engineer 
Job ID:		41119

	
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