Senior ML Engineer: Scale AI Solutions

TaskVerse

EUA

Presencial

USD 150 000 - 230 000

Tempo integral

há 27 horas
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Currículo e carta de apresentação personalizados, prontos a enviar.

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Vantagens oferecidas por esta oferta de emprego

Flexible benefits
Professional development resources
Career growth opportunities

Resumo da oferta

CrowdStrike is seeking a Senior Machine Learning Engineer to join its AIDR Engineering Team. In this role, you will help develop and deliver machine learning capabilities that support the team’s products and customer needs.

You will work closely with data scientists, software engineers, and other cross‑functional partners to turn research and ideas into dependable, scalable solutions. This position is suited to an engineer who enjoys working across the machine learning lifecycle, from

Qualificações

  • Experience building machine learning systems or data-intensive software in production.
  • Proficient in Python and deploying/maintaining models at scale.
  • Familiar with data pipelines, model evaluation, software testing, and production monitoring.

Responsabilidades

  • Design, implement, test, and maintain ML services for the AIDR team.
  • Collaborate with data scientists to operationalize models for production use.
  • Develop data preparation, feature processing, inference, and evaluation workflows emphasizing performance, scalability, reliability.

Conhecimentos

Python
Data pipelines
Model evaluation
Production monitoring
Distributed systems
Cloud platforms
Model serving infrastructure
Cybersecurity knowledge

Formação académica

BS in Computer Science or related field
Equivalent practical experience

Ferramentas

Model serving infra
Data processing pipelines

Descrição da oferta de emprego

CrowdStrike is seeking a Senior Machine Learning Engineer to join its AIDR Engineering Team. In this role, you will help develop and deliver machine learning capabilities that support the team’s products and customer needs.

You will work closely with data scientists, software engineers, and other cross‑functional partners to turn research and ideas into dependable, scalable solutions. This position is suited to an engineer who enjoys working across the machine learning lifecycle, from

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