Lead Machine Learning Engineer
Launch PotatoFull Time
Senior (5 to 8 years)
Key technologies and capabilities for this role
Common questions about this position
The salary range is $102k – $156k.
This is a hybrid role based in Europe.
Requirements include 5+ years of experience in machine learning engineering, strong understanding of machine learning algorithms and techniques, experience with model deployment and scaling, experience with data analysis and visualization, and excellent communication and collaboration skills.
Kalepa's values include Hustle & Grit, Customer Focus, Meritocracy, Transparency, and Experimentation. The team comes from top tech companies, supports a global presence with offices in New York and remote employees, and hosts regional meetups and global offsites.
A strong candidate has 5+ years in machine learning engineering, expertise in ML algorithms, model deployment at scale, data analysis, and excellent communication skills, plus an understanding of insurance risks and ability to collaborate with stakeholders.
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.