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Vice President Software Engineering (AI/ML)

130 000 - 250 000$
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
Vice President Software Engineering (AI/ML): Building and productionizing mission-critical machine learning models for the Compliance Division to mitigate regulatory and reputational risk with an accent on distributed architecture and big data scale. Focus on developing end-to-end ML pipelines, optimizing model precision/recall, and scaling infrastructure for massive unstructured datasets.

Location: New York, New York, United States

Salary: USD 130,000 - 250,000

Company

A leading global investment banking, securities and investment management firm.

What you will do

  • Drive end-to-end Machine Learning projects characterized by high scale and complexity.
  • Build ML infrastructure, focusing on feature engineering and scaling models for big data.
  • Develop, productionize, and maintain machine learning models.
  • Run ML experiments by tuning features and modeling approaches, documenting results.
  • Collaborate with ML researchers to accelerate the integration of cutting-edge models.
  • Perform code reviews to ensure high software quality and standards.

Requirements

  • Bachelor's or Master's degree in Computer Science or a similar field.
  • 10+ years of hands-on experience building scalable machine learning systems.
  • Expertise in Python and PySpark.
  • Experience with distributed technologies such as Scala, Iceberg, HDFS, AWS, or GCP.
  • Proficiency with ML/DL toolkits including TensorFlow, PyTorch, Scikit-Learn, and HuggingFace.
  • Strong Computer Science fundamentals in algorithms, data structures, and system design.

Nice to have

  • Prior experience with LLMs and Prompt Engineering.
  • Experience architecting and deploying ML applications on AWS/GCP.
  • Experience in architecture design for distributed systems.

Culture & Benefits

  • Access to the latest technology and massive amounts of structured and unstructured data.
  • Commitment to fostering diversity and inclusion in the workplace.
  • Extensive training and development opportunities for professional growth.
  • Comprehensive benefits, including wellness and personal finance offerings.

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