Senior Staff Machine Learning Engineer
Flex- Full Time
- Senior (5 to 8 years)
Candidates should possess 5+ years of experience in machine learning engineering, demonstrating expertise in the framing, development, and deployment of machine learning models at scale. Strong technical skills are required, including experience with model training, evaluation, and deployment. Experience with various machine learning frameworks and tools is also necessary.
As a Senior Machine Learning Engineer, you will be responsible for leading the framing, development, and deployment at scale of machine learning models, understanding the risk of various classes of data. You will also contribute to the design and implementation of machine learning solutions, collaborate with cross-functional teams, and ensure the quality and reliability of deployed models.
AI decision support platform for underwriters
Kalepa provides a platform called Copilot that helps underwriters in the commercial insurance market assess risks and exposures of businesses. By combining artificial intelligence with human insights, it enables more accurate pricing and underwriting, which helps insurance companies reduce losses and improve efficiency. The platform operates on a software-as-a-service (SaaS) model, where clients pay subscription fees for access. Kalepa aims to enhance underwriting processes and improve the performance of insurance providers.