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14 Minutes Ago
New York, NY, USA
Remote
15 Employees
Mid level
15 Employees
Mid level
Artificial Intelligence • Insurance
The Machine Learning Engineer will develop and deploy machine learning models at scale to analyze risks associated with various businesses, utilizing both structured and unstructured data from diverse sources. Collaborating closely with product management and software engineers, they will have full ownership of their projects and work within a two-week sprint framework.
14 Minutes Ago
New York, NY, USA
Remote
15 Employees
Senior level
15 Employees
Senior level
Artificial Intelligence • Insurance
The Director of Strategic Accounts at Kalepa will lead a team focused on driving growth in the commercial insurance sector through the AI Copilot platform. Responsibilities include enhancing client relationships, strategizing account management, and ensuring the effective use of AI technology to improve underwriting processes.
44 Minutes Ago
New York, NY, USA
Remote
15 Employees
Senior level
15 Employees
Senior level
Artificial Intelligence • Insurance
Sales Executives at Kalepa will drive commercial growth, secure relationships with US insurers, manage the sales lifecycle, and execute the company's sales playbook. Responsibilities include engaging decision-makers, showcasing value, and negotiating agreements to enhance client satisfaction and retention.
59 Minutes Ago
New York, NY, USA
15 Employees
Senior level
15 Employees
Senior level
Artificial Intelligence • Insurance
As a Senior Backend Engineer at Kalepa, you will tackle challenging problems in software engineering, focusing on building robust infrastructure and data pipelines. You will collaborate with a diverse team to develop cutting-edge solutions utilizing NLP and machine learning technologies.
An Hour Ago
New York, NY, USA
Remote
15 Employees
Entry level
15 Employees
Entry level
Artificial Intelligence • Insurance
The Director of Strategic Accounts at Kalepa will focus on driving client engagement and fostering relationships with insurance companies. The role requires leveraging the AI Copilot platform to enhance underwriting processes, ensuring client growth and satisfaction while achieving sales targets. Strategic leadership and a customer-centric approach are crucial for this position.
An Hour 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 risks associated with various businesses by analyzing structured and unstructured data from multiple sources.
An Hour Ago
New York, NY, USA
Remote
15 Employees
Mid level
15 Employees
Mid level
Artificial Intelligence • Insurance
The Senior Associate in Growth at Kalepa will lead client success initiatives for the SaaS platform Copilot, collaborating with clients and internal development teams to enhance value delivery. The role requires ownership of the client success function and excellent enterprise client engagement skills.
An Hour Ago
New York, NY, USA
15 Employees
Senior level
15 Employees
Senior level
Artificial Intelligence • Insurance
As a Senior Full Stack Engineer, you will work on cutting-edge technologies including NLP and large data pipelines. You will address challenging problems related to distributed systems and collaborate with a global team of engineers, making a significant impact in a greenfield environment.
2 Hours Ago
New York, NY, USA
15 Employees
Senior level
15 Employees
Senior level
Artificial Intelligence • Insurance
As a Senior Backend Engineer, you will work on cutting-edge technology including machine learning, NLP, and distributed systems. You'll develop large data pipelines and robust infrastructure while collaborating with a global engineering team to solve complex problems in a greenfield environment.
2 Hours Ago
New York, NY, USA
Remote
15 Employees
Mid level
15 Employees
Mid level
Artificial Intelligence • Insurance
As a Machine Learning Engineer at Kalepa, you will lead the development and deployment of machine learning models aimed at assessing business risks using diverse structured and unstructured data sources. You will drive project direction with complete ownership, collaborating closely with cross-functional teams in a two-week sprint environment.
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