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Senior Machine Learning Engineer

Kalepa

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Location:

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

85000.00 - 165000.00 USD / Year

Job Description:

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 Machine Learning Engineer you will lead the framing, development, and deployment at scale of machine learning models to understand the risk of various classes of businesses. You will be turning vast amounts of structured and unstructured data from many sources (web data, geolocation, satellite imaging, etc.) into novel insights about behavior and risk.

Job Responsibility:

  • Lead the framing, development, and deployment at the scale of machine learning models to understand the risk of various classes of businesses
  • Turn vast amounts of structured and unstructured data from many sources (web data, geolocation, satellite imaging, etc.) into novel insights about behavior and risk
  • Given full ownership over projects and expected to drive the project’s direction and maintain focus
  • Work closely with Product Management and Software Engineers

Requirements:

  • 5+ years of experience in engineering and data science
  • In-depth understanding of applied machine learning algorithms, especially NLP, and statistics
  • Experienced in Python and its major data science libraries
  • Have deployed models and algorithms in production
  • Comfortable with data science as well as with the engineering required to bring models to production
  • Excited about using a wide set of technologies
  • Value open, frank, and respectful communication

Nice to have:

  • Experience with AWS
  • Hands-on experience with data analytics and data engineering
What we offer:
  • Significant equity options package
  • 20 days of PTO a year
  • Global team offsites
  • Phone reimbursement
  • Gym reimbursement
  • Student stipend

Additional Information:

Job Posted:
December 09, 2025

Employment Type:
Fulltime
Work Type:
Remote work
Job Link Share:
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