(Senior) Machine Learning Engineer

5 dni temu


Katowice, Polska Kalepa Pełny etat
Kalepa is an award-winning AI software company transforming the trillion-dollar commercial insurance industry. Our state-of-the-art AI Copilot platform empowers underwriters to make smarter, faster, and more accurate decisions, so insurers can grow their top and bottom lines while business owners get the coverage they need.

Copilot is delivering real, tangible impact to insurers from day 1, and underwriters rave about it. “(They) don't know if (they) could function doing daily underwriting without having it, ” and they assert that "not only is Kalepa’s technology miles ahead of other vendors, but when it came to driving real impact on our business, there (is) no competition."

Kalepa’s Copilot powers insurers of all sizes, including +$10B carriers like Arch and Munich Re, hypergrowth MGAs like Bowhead Specialty and Paragon, and small regional insurers like North Star Mutual.

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. As a Senior MLE, you will own projects from 0 to 1 as we launch new features and enrich the underwriting process with valuable insights. Team members are given full ownership over their projects and are expected to drive the project’s direction and maintain focus. The team works in a two-week sprint, and ML Engineers will work closely with Product Management and Software Engineers.

Tech Stack 

Back End: Python
Development process: pSQL, RedShift, Jira, Docker

Work closely with a small team designing, building, and deploying machine learning models to tackle our customers’ questions
Collaborate with a small team of full-stack, data, and DevOps engineers

✅An in-depth understanding of applied machine learning algorithms, especially NLP, and statistics
⭐ Experience in Python and its major data science libraries and have deployed models and algorithms in production
⭐ Comfort with data science and the engineering required to bring your models to production
⭐ Experience with AWS (nice-to-have)
⭐ Hands-on experience with data analytics and data engineering (nice to have)
⭐ Excitement about using a comprehensive set of technologies, ultimately focused on finding the right tool for the job
⭐ A concrete mindset is crucial to us, so ⛔ DON’T ⛔apply if:

The words “it can’t be done” don’t exist in their vocabulary
You’re looking for an 8-16 job
One of our top performers was even promoted after only three months.
Possibility to work with Kalepa's team members who bring experience from top technology, insurance, and intelligence institutions, including Facebook, Google, Amazon, ClassPass, Atlassian, Mastercard, MIT, Berkeley, UPenn, the University of Warsaw, and the Israel Defense Forces
Fully remote work environment. Flexible start and finish times

Significant equity options package (learn more )
Multisport Plus Card, LuxMed comprehensive package
Apply via the link and send us your CV (in English)
5️⃣TECHNICAL PHONE INTERVIEW
1h hands-on coding task with one of our Engineers
It contains 1h meeting about Data Science + two 30-minute meetings during which you will meet our PM/Chief of Staff & CEO

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