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19 Days Ago
New York, NY, USA
Remote
15 Employees
Senior level
15 Employees
Senior level
Artificial Intelligence • Insurance
As a Senior Full Stack Engineer at Kalepa, you will work on complex problems involving large data pipelines, distributed systems, and machine learning models. Collaborating with a global team, you'll contribute to cutting-edge technology that enhances the efficiency of commercial insurance underwriters.
19 Days Ago
New York, NY, USA
15 Employees
Senior level
15 Employees
Senior level
Artificial Intelligence • Insurance
As a Senior Backend Engineer at Kalepa, you'll work on a greenfield project involving cutting-edge technology like NLP and machine learning. You will tackle challenges related to large data pipelines and distributed systems, collaborating with a diverse team of engineers to enhance their AI Copilot platform.
19 Days Ago
New York, NY, USA
Remote
15 Employees
Senior level
15 Employees
Senior level
Artificial Intelligence • Insurance
As a Senior Machine Learning Engineer, you will oversee the development and deployment of machine learning models at scale. Your role involves transforming large volumes of structured and unstructured data into actionable insights regarding business risks, working collaboratively with Product Management and Software Engineers.
19 Days Ago
New York, NY, USA
Remote
15 Employees
Senior level
15 Employees
Senior level
Artificial Intelligence • Insurance
Kalepa seeks a Sales Executive with over 5 years of experience to drive commercial growth and establish partnerships with US insurers. Responsibilities include managing the entire sales process, engaging key decision-makers, and demonstrating the software's value.
19 Days Ago
New York, NY, USA
Remote
15 Employees
Senior level
15 Employees
Senior level
Artificial Intelligence • Insurance
As a Senior Backend Engineer at Kalepa, you will work on developing the AI Copilot platform, tackling challenges related to large data pipelines, distributed systems, and machine learning models. You'll have a significant impact in a collaborative environment focused on customer growth and efficiency through advanced technology.
19 Days Ago
New York, NY, USA
Remote
15 Employees
Mid level
15 Employees
Mid level
Artificial Intelligence • Insurance
The Machine Learning Engineer will lead the development and deployment of machine learning models to assess the risk of various business classes. Responsibilities include analyzing structured and unstructured data to derive insights and ensuring project ownership and direction within a two-week sprint cycle.
19 Days Ago
New York, NY, USA
Remote
15 Employees
Senior level
15 Employees
Senior level
Artificial Intelligence • Insurance
As a Senior Full Stack Engineer at Kalepa, you'll tackle complex problems involving large data pipelines, distributed systems, and machine learning models. Collaborating with a global team, you'll work on innovative technologies and have a significant impact in a greenfield environment.
19 Days Ago
New York, NY, USA
Remote
15 Employees
Senior level
15 Employees
Senior level
Artificial Intelligence • Insurance
As the Director of Strategic Accounts, you will lead the sales initiatives for Kalepa's AI Copilot platform in the commercial insurance market, focusing on building client relationships and achieving sales targets. You will drive growth, manage the sales team, and collaborate with clients to tailor solutions that enhance their decision-making processes.
19 Days Ago
New York, NY, USA
Remote
15 Employees
Senior level
15 Employees
Senior level
Artificial Intelligence • Insurance
The Senior Backend Engineer will focus on developing innovative solutions at the intersection of data pipelines, distributed systems, and machine learning. This role involves working on complex problems, collaborating with a diverse global team, and impacting the company's core technologies.
19 Days Ago
New York, NY, USA
Remote
15 Employees
Senior level
15 Employees
Senior level
Artificial Intelligence • Insurance
As a Senior Machine Learning Engineer, you will lead the development and deployment of machine learning models to assess business risk, utilizing both structured and unstructured data. You will work closely with Product Management and Software Engineers in an agile environment, taking ownership of your projects to drive their direction and execution.
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