Machine Learning Engineer

1 miesiąc temu


Gdańsk, Pomerania, Polska Kalepa Pełny etat
About Kalepa

Kalepa is a pioneering company in the commercial insurance industry, leveraging cutting-edge AI technology to revolutionize the way underwriters make decisions.

Our AI Copilot platform empowers underwriters to make smarter, faster, and more accurate decisions, resulting in significant improvements to top and bottom lines.

Kalepa's team members bring expertise from top tech companies, including Facebook, Google, Amazon, and Uber, and are backed by leading VCs like IA Ventures and Inspired Capital.

Our Values

Kalepa's values are designed to unlock the potential of our employees, with a focus on Hustle & Grit, Customer Focus, Meritocracy, Transparency, and Experimentation.

We prioritize the work that drives our clients' growth, profitability, and efficiency, and reward tremendous results with rapid promotions and compensation growth.

Our team works in two-week sprints, delivering high-quality results and collaborating closely with Product Management and Software Engineers.

Job Description

We are seeking a Machine Learning Engineer with 2+ years of experience to lead the framing, development, and deployment of machine learning models at scale.

As a MLE, you will own projects from 0 to 1, working closely with a small team to design, build, and deploy machine learning models to tackle our customers' questions.

Key responsibilities include turning vast amounts of structured and unstructured data into novel insights about behavior and risk, collaborating with a small team of full-stack, data, and DevOps engineers, and applying to us if you have a minimum of 2 years of experience, an in-depth understanding of applied machine learning algorithms, and experience in Python and its major data science libraries.

Benefits include a very competitive base salary, significant equity options package, 20 paid vacation days a year, paid Bank Holidays, unlimited Sick Leave, and a comprehensive benefits package.

We follow a rigorous recruitment process, including a task on the HackerRank platform, a preliminary call, technical phone interview, culture fit interview, face-to-face stage, and reference checks.

Apply today if you are excited about using a comprehensive set of technologies, have a preference for an open, frank, and respectful communication style, and are ready to write code from day one.


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