Machine Learning Engineer at Kalepa

K
Kalepa

Machine Learning Engineer

pl flag
Poland

70k - 100k USD

Remote

Full Time

#Python

#Data Science

#Machine Learning

#Data Engineering

#NLP

Kalepa is looking for a Machine Learning Engineer

We are looking for a Machine Learning Engineer to join our team and help us transform the insurance industry by building models that assess business risk. At Kalepa, we use diverse data sources like satellite imagery and web analytics to generate unique insights, and we are backed by top-tier investors like IA Ventures and Inspired Capital.

Responsibilities

  • Lead the end-to-end process of framing, developing, and deploying machine learning models at scale.
  • Transform complex structured and unstructured data into actionable intelligence regarding business behavior and risk.
  • Bridge the gap between data science and software engineering to ensure models perform effectively in production environments.
  • Collaborate with a global, high-performing team to solve challenging problems in a massive industry.

Must-haves

  • At least 3 years of professional experience in engineering and data science.
  • Strong proficiency in Python and its primary data science libraries.
  • Deep understanding of applied machine learning algorithms, with a specific focus on NLP and statistics.
  • Proven ability to deploy models into production systems.
  • A proactive mindset that focuses on overcoming obstacles and finding the right technical solutions.
  • Fluency in English and a commitment to open, respectful communication.

Nice-to-haves

  • Hands-on experience with AWS infrastructure.
  • Practical background in data engineering and advanced data analytics.

Benefits

The salary range for this position is $72,000 – $96,000 USD.

  • Significant equity options package.
  • Remote work flexibility.
  • 20 days of paid time off per year.
  • Participation in global team offsites.
  • Assistance with the IP BOX 10% tax rate for candidates based in Poland.
  • The opportunity to be an early member of our data science team and contribute to a $1T industry.
K

Kalepa

3 views

1 applied

Company Size

11-50

Markets

Financial Services
Technology
Insurance
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