Kalepa

Senior Machine Learning Engineer (Europe)

Europe

$102,000 – $156,000Compensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Insurance, Artificial Intelligence, Software DevelopmentIndustries

Requirements

Candidates should possess 5+ years of experience in machine learning engineering, demonstrating expertise in the framing, development, and deployment of machine learning models at scale. Strong technical skills are required, including experience with model training, evaluation, and deployment. Experience with various machine learning frameworks and tools is also necessary.

Responsibilities

As a Senior Machine Learning Engineer, you will be responsible for leading the framing, development, and deployment at scale of machine learning models, understanding the risk of various classes of data. You will also contribute to the design and implementation of machine learning solutions, collaborate with cross-functional teams, and ensure the quality and reliability of deployed models.

Skills

Machine Learning
Model Deployment
AI Platform Architecture
Data Analysis
Stakeholder Communication

Kalepa

AI decision support platform for underwriters

About Kalepa

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.

Key Metrics

New York City, New YorkHeadquarters
2018Year Founded
$13.6MTotal Funding
SERIES_ACompany Stage
Enterprise Software, AI & Machine Learning, Financial ServicesIndustries
11-50Employees

Benefits

Competitive salary
Significant equity options package
100% covered medical, 100% covered vision and dental
20 days of PTO a year.
Global team offsites
Healthy living/gym stipend.
Mobile phone bill stipend
Continuing education credits
Home office stipend

Risks

Competition from other AI-powered platforms could erode Kalepa's market share.
Regulatory scrutiny may arise from AI reliance in underwriting decisions.
Resource strain from new MGA formation could impact Kalepa's core SaaS platform.

Differentiation

Kalepa's Copilot platform combines AI and human intelligence for precise risk assessment.
The company offers a SaaS model, enhancing underwriting efficiency for commercial insurers.
Kalepa's new MGA focuses on small and mid-market policyholders with exclusive broker partnerships.

Upsides

Increased AI adoption in underwriting aligns with Kalepa's Copilot capabilities.
InsurTech partnerships offer collaboration opportunities with traditional insurers for Kalepa.
Growing demand for tailored insurance products benefits Kalepa's customized solutions for SMBs.

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