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19 Days Ago
New York, NY, USA
15 Employees
Senior level
15 Employees
Senior level
Artificial Intelligence • Insurance
As a Senior Backend Engineer, you will tackle complex challenges involving large data pipelines, distributed systems, and machine learning. You will have a significant impact by developing solutions in a greenfield project while collaborating with an international team of engineers.
19 Days Ago
New York, NY, USA
Remote
15 Employees
Mid level
15 Employees
Mid level
Artificial Intelligence • Insurance
The Senior Associate for Growth at Kalepa will manage client relationships and drive client success for their AI-powered SaaS platform, collaborating closely with the development team. The role involves boosting client engagement and satisfaction with the platform, contributing to client growth and retention while working with major insurance carriers.
19 Days Ago
New York, NY, USA
Remote
15 Employees
Entry level
15 Employees
Entry level
Artificial Intelligence • Insurance
As a Director of Strategic Accounts, you will utilize Kalepa's AI technology to enhance the operational efficiency of commercial insurance underwriting, driving growth and profitability for clients while ensuring strong customer relationships and adherence to company values.
19 Days Ago
New York, NY, USA
15 Employees
Senior level
15 Employees
Senior level
Artificial Intelligence • Insurance
As a Senior Full Stack Engineer, you will tackle challenging problems in a greenfield environment, working with cutting-edge technology like NLP and machine learning. Your contributions will significantly impact data pipelines and distributed systems while collaborating with a diverse engineering team.
19 Days Ago
New York, NY, USA
15 Employees
Senior level
15 Employees
Senior level
Artificial Intelligence • Insurance
The Senior Backend Engineer will work on Kalepa's AI Copilot platform, addressing challenges in data pipelines, distributed systems, machine learning models, and building robust infrastructure. The role involves collaborating with a global team and developing cutting-edge technology to enhance underwriters' decision-making processes.
19 Days Ago
New York, NY, USA
Remote
15 Employees
Senior level
15 Employees
Senior level
Artificial Intelligence • Insurance
The Sales Executive will spearhead commercial growth by establishing relationships with US insurers, managing the sales lifecycle, and executing the sales playbook. The role involves engaging with key decision-makers, demonstrating product value, and negotiating agreements to facilitate successful client partnerships.
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, you will tackle complex challenges related to NLP, data pipelines, and distributed systems. You'll work on an innovative platform that enhances underwriters' decision-making processes and collaborate with a global team of engineers to deliver impactful solutions.
19 Days Ago
New York, NY, USA
Remote
15 Employees
Senior level
15 Employees
Senior level
Artificial Intelligence • Insurance
Lead the development and deployment of machine learning models at scale for understanding business risks. Collaborate with product management and software engineers, processing structured and unstructured data into actionable insights.
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 tackle complex challenges involving NLP, data pipelines, and machine learning while collaborating with a diverse global team. You'll play a crucial role in developing robust infrastructure and high-performance systems that enhance underwriter decision-making in the commercial insurance industry.
19 Days 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 develop and deploy machine learning models to assess the risk of various businesses using structured and unstructured data sources. You'll lead projects, work closely with product and software teams, and maintain project focus within agile sprints.
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