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As a Machine Learning Engineer at Kalepa, you will lead the development and deployment of ML models to assess the risk of different business classes. You will analyze structured and unstructured data to derive insights, collaborating closely with product management and software engineers in a sprint-driven environment.

The Director of Strategic Accounts will drive client engagement and growth, utilizing Kalepa's AI Copilot to transform commercial insurance. They will work closely with underwriters to enhance decision-making processes, focusing on customer success and strategic problem-solving, while contributing to the company's revenue through uncapped commissions and equity opportunities.

As a Senior Machine Learning Engineer, you will lead the development and deployment of machine learning models to assess business risk using large datasets from varied sources. You will work in agile sprints and collaborate with Product Management and Software Engineers, taking full ownership of your projects.

As a Senior Full Stack Engineer at Kalepa, you will lead efforts in a greenfield project focusing on advanced technologies such as NLP and machine learning. You will tackle challenging problems at the intersection of data pipelines and distributed systems while collaborating with a global team of engineers.

As a Senior Backend Engineer at Kalepa, you'll work on cutting-edge technology including NLP and machine learning. You will address complex challenges involving large data pipelines and distributed systems, collaborating with a global team of engineers to make a significant impact on the company's AI Copilot platform.

The Senior Associate for the Growth team at Kalepa will be responsible for client success with their SaaS platform, working closely with clients and the development team. They will own and develop the client success function, ensuring that clients receive outstanding value from the service provided.

As a Machine Learning Engineer at Kalepa, you will lead the development and deployment of machine learning models to evaluate business risk. You'll analyze structured and unstructured data to derive insights, working closely with product management and software engineers in a dynamic, sprint-driven environment.