Senior Machine Learning Engineer

1 miesiąc temu

centrum Wrocław, Polska Kalepa Pełny etat
About Kalepa

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

Our state-of-the-art AI Copilot platform empowers underwriters to make smarter, faster, and more accurate decisions, resulting in significant improvements to their top and bottom lines.

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

Our Values

Kalepa is committed to unlocking the potential of its employees through a set of core principles:

  • Hustle & Grit - We expect everyone at Kalepa to excel in their craft and be relentless in pursuing their goals.
  • Customer Focus - We prioritize the work that drives our clients' growth, profitability, and efficiency.
  • Meritocracy - We reward tremendous results with rapid promotions and compensation growth.
  • Transparency - We are honest with each other and believe in open communication.
  • Experimentation - We quickly test, measure, and iterate to determine the path to success.

Kalepa's culture is built on these values, and we are looking for a Senior Machine Learning Engineer to join our team.

Job Description

We are seeking a Senior Machine Learning Engineer with 5+ years of experience to lead the framing, development, and deployment of machine learning models at scale.

As a Senior MLE, you will own projects from 0 to 1, working closely with Product Management and Software Engineers to deliver high-quality results.

Key responsibilities include:

  • Turning vast amounts of structured and unstructured data into novel insights about behavior and risk.
  • Designing, building, and deploying machine learning models to tackle our customers' questions.
  • Collaborating with a small team of full-stack, data, and DevOps engineers.

Requirements include:

  • Minimum of 5 years of experience in machine learning engineering.
  • Strong understanding of applied machine learning algorithms, especially NLP, and statistics.
  • Experience in Python and its major data science libraries, with a proven track record of deploying models and algorithms in production.

We offer a competitive base salary, significant equity options package, and a comprehensive benefits package, including 20 paid vacation days, paid Bank Holidays, and unlimited Sick Leave.

We are committed to creating a culture that is open, frank, and respectful, and we believe in providing opportunities for continued learning and growth.

If you are a motivated and experienced machine learning engineer looking for a new challenge, we encourage you to apply.

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