Senior Machine Learning Engineer - LatAm

April 8

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Kalepa

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Kalepa is a company focused on revolutionizing the field of insurance underwriting through its AI-powered software, Copilot. Copilot helps underwriters make more informed decisions by consolidating critical information and streamlining the underwriting process, thus increasing efficiency and profitability for insurance carriers and MGAs. Kalepa ensures that commercial and specialty underwriters can quickly bind the most profitable risks by providing them with essential insights and tools. The company's technology aims to reduce complexities, improve underwriting quality, and enhance growth in the insurance sector.

Insurance • Data • Analytics • Commercial Insurance • Specialty Insurance

11 - 50 employees

🤖 Artificial Intelligence

💰 $14M Series A on 2021-09

📋 Description

•About Kalepa: Commercial insurance is a trillion-dollar industry run out of Microsoft Outlook. •Kalepa is upending this. Our state-of-the-art AI Copilot platform empowers underwriters to make smarter, faster, and more accurate decisions. •Our AI is designed to deliver real results - insurers literally see massive improvements to their top and bottom lines as soon as they implement Copilot. •Kalepa's team members bring experience from top technology companies, including Facebook, Google, Amazon, Mastercard, and Uber. •In addition to our NY office, we have remote employees speaking 10+ languages across the globe. •Kalepa’s culture isn’t for everyone, and that’s ok. But for the people who are a fit, they can’t imagine working elsewhere. •About the role: Kalepa is looking for a Senior Machine Learning Engineer with 5+ years of experience to lead the framing, development, and deployment at the scale of machine learning models.

🎯 Requirements

•5+ years of experience in engineering and data science. •You love to hustle: finding ways to get things done, destroying obstacles, and never taking no for an answer. The words “it can’t be done” don’t exist in your vocabulary. •In-depth understanding of applied machine learning algorithms, especially NLP, and statistics. •Experienced in Python and its major data science libraries, and have deployed models and algorithms in production. •Comfortable with data science as well as with the engineering required to bring your models to production. •Excited about using a wide set of technologies, ultimately focused on finding the right tool for the job. •Value open, frank, and respectful communication.

🏖️ Benefits

•Competitive salary (based on experience level)*. •Significant equity options package. •Work with an ambitious, smart, global, and fun team to transform a $1T global industry. •20 days of PTO a year. •Global team offsites. •Phone reimbursement. Gym reimbursement. •Student stipend.