Machine Learning Innovation Lead
2 weeks ago
About Us
We are a leading global insurance company, powered by underwriting and engineering excellence. Our commitment to fostering an environment where everyone can thrive, innovate, and grow has earned us recognition as a Great Place to Work for three consecutive years.
We employ over 40,000 people worldwide and have operations in 54 countries and territories. We offer a comprehensive benefits package designed to support our employees' health, well-being, and professional growth, including flexible work options, generous paid time off, and robust health coverage.
Our team is dedicated to solving real-world challenges in the insurance industry through innovation and continuous learning. We encourage a start-up mindset that promotes collaboration, diverse perspectives, and a solution-driven attitude.
- We seek a talented Machine Learning Engineer with 4 to 10 years of experience to join our team and play a pivotal role in developing and deploying cutting-edge machine learning solutions.
- The ideal candidate will collaborate with data scientists, model developers, software engineers, and other stakeholders to translate business needs into technical solutions.
Key responsibilities include:
- Collaborating with cross-functional teams to develop and deploy machine learning models.
- Designing and implementing high-performance real-time inferencing APIs and batch inferencing pipelines.
- Ensuring seamless integration of machine learning models into existing production systems.
- Continuously monitoring and evaluating model performance and retraining models automatically or periodically.
- Streamlining existing ML pipelines to increase throughput.
- Identifying and addressing security vulnerabilities in existing applications proactively.
We offer a dynamic work environment where you will be empowered to drive results that matter. If you value integrity, innovation, and inclusion, we invite you to join our journey.
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