Machine Learning Engineer
HangSalary not specified
- Full Time
- Senior (5 to 8 years)
$150,000 – $185,000Compensation
Junior (1 to 2 years)Experience Level
Full TimeJob Type
UnknownVisa
Insurance, Artificial Intelligence, Software DevelopmentIndustries
Requirements
Candidates should possess at least 3 years of experience as a Machine Learning Engineer, with a focus on leading the framing, development, and deployment of machine learning models at scale. Experience in understanding the risk of various classes is required.
Responsibilities
As a Machine Learning Engineer, you will be responsible for leading the framing, development, and deployment at scale of machine learning models to understand the risk of various classes, and you will contribute to Kalepa’s AI Copilot platform by delivering real results for insurers.
Skills
Python
TensorFlow
PyTorch
Data Engineering
Data Pipelines
Machine Learning Concepts
Model Deployment
Model Monitoring
Collaboration
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