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7 дней назад

ML Engineer Sr Consultant (Machine Learning)

163 400 - 261 500$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
ML Engineer Sr Consultant (Machine Learning): Developing and deploying integrated machine learning algorithms for structured and unstructured data applications with an accent on statistical modeling, adaptive learning, explainability, and model validation. Focus on translating algorithms into production code, conducting A/B testing, identifying logical flaws, and maintaining post-deployment model integrity and accuracy.

Location: Austin, Texas, United States; hybrid arrangement with at least 3 days in the office. Travel required 5–10% of the time. Work hours vary according to department needs.

Salary: $163,400–$261,500 USD per year, with potential bonus, equity, and applicable sales incentive payments.

Company

hirify.global develops payments technology that facilitates transactions between consumers, merchants, financial institutions, and government entities across more than 200 countries and territories.

What you will do

  • Develop and program integrated software algorithms for product and systems applications across structured and unstructured data environments.
  • Apply statistical modeling and machine learning techniques to improve product and system performance, quality, data management, and accuracy.
  • Translate algorithms and technical specifications into production code using current programming languages and technologies.
  • Design and implement adaptive learning methods, model explainability controls, model validation, and A/B testing.
  • Conduct rigorous validation, identify logical flaws, and support post-deployment integrity and accuracy of machine learning solutions.

Requirements

  • Senior Consultant: 8+ years of relevant experience with a Bachelor’s degree, 5+ years with an advanced degree, 2+ years with a PhD, or 11+ years of relevant experience.
  • Preferred experience threshold: 9+ years with a Bachelor’s degree, 7+ years with an advanced degree, or 3+ years with a PhD.
  • Bachelor’s degree in Computer Science, Operations Research, Statistics, or another highly quantitative field, or equivalent experience, with strength in deep learning, machine learning, data mining, statistical, or mathematical analysis.
  • Experience developing integrated software algorithms for structured and unstructured data environments and applying techniques including decision trees, logistic regression, Bayesian analysis, Naive Bayes, SVM, and neural networks.
  • Experience with rigorous validation, identifying logical flaws, explaining model decisions, and ensuring post-deployment integrity and accuracy.
  • Ability to program in one or more scripting languages such as Perl or Python and one or more programming languages such as Java, C++, or C#.
  • Experience with statistical tools such as SAS, R, KNIME, or Matlab.
  • Experience working with large datasets and modern big data and machine learning technologies.
  • Experience collaborating with cross-functional teams to define requirements and execute machine learning initiatives successfully.
  • Digital fluency, including the ability to work with emerging technologies such as Generative AI tools including ChatGPT and Microsoft Copilot.

Nice to have

  • Deep learning experience with TensorFlow.

Culture & Benefits

  • Office-based work with an expectation of at least 3 days per week in the office.
  • Benefits may include medical, dental, vision, 401(k), FSA/HSA, life insurance, paid time off, and a wellness program.
  • The position may be eligible for bonus, equity, and sales incentive payments where applicable.
  • hirify.global is an equal opportunity employer.

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