AI Driven Underwriting Solutions Expert
23 godzin temu
Commercial insurance is a vast and complex industry with immense growth potential.
Kalepa is revolutionizing this landscape by harnessing the power of artificial intelligence to empower underwriters.
Our cutting-edge AI Copilot platform enables insurers to make data-driven decisions, resulting in significant improvements to their top and bottom lines.
Key to our success is the expertise of our team members, who bring experience from top technology companies such as Facebook, Google, Amazon, Mastercard, and Uber.
Kalepa is backed by leading venture capital firms like IA Ventures and Inspired Capital.
Our ValuesAt Kalepa, we believe that our values are the foundation upon which our success is built.
We live by five core principles:
- Hustle & Grit
Unrelenting dedication to excellence is at the heart of everything we do.
Customer FocusOur relentless pursuit of innovation is driven by a commitment to delivering exceptional value to our clients.
MeritocracyTalent and achievement are rewarded, empowering individuals to excel and grow within our organization.
TransparencyOngoing communication and trust foster an open and collaborative environment where everyone can thrive.
ExperimentationRapid iteration and innovation enable us to stay ahead of the curve and tackle even the most complex challenges.
We take pride in our diverse and inclusive culture, which spans multiple regions and languages. Regular meetups and global offsites provide opportunities for our team members to connect and grow together.
Kalepa's culture is not for everyone, but for those who share our passion and values, it offers a truly unique and fulfilling work experience.
The RoleWe are seeking an experienced Senior Machine Learning Engineer to lead the development and deployment of machine learning models at scale.
As a Senior MLE, you will own projects from concept to delivery, working closely with cross-functional teams to launch new features and enhance the underwriting process.
Our agile sprint-based approach ensures rapid progress and collaboration throughout the development lifecycle.
ResponsibilitiesAs a Senior Machine Learning Engineer, you will be responsible for:
- Turning vast amounts of structured and unstructured data into actionable insights about behavior and risk.
- Collaborating with a small team to design, build, and deploy machine learning models that address our customers' most pressing questions.
- Working closely with full-stack, data, and DevOps engineers to drive project success.
To succeed in this role, you should have:
- A minimum of 5 years of experience in applied machine learning, with a focus on NLP and statistics.
- Expertise in Python and its major data science libraries, with a proven track record of deploying models in production.
- Comfort with data science and engineering best practices.
- Experience with AWS (nice-to-have) and hands-on experience with data analytics and data engineering (nice to have).
We offer a comprehensive benefits package, including:
- Competitive base salary
- Significant equity options package
- 20 paid vacation days per year
- Paid Bank Holidays
- Unlimited Sick Leave (+ parental leave)
- Gym reimbursement through LuxMed comprehensive package
- Mobile phone bill reimbursement
- Ongoing professional development and training
- Quarterly team offsites in global locations
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