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Forward Deployed Engineer (ML)

Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
Singapore
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Forward Deployed Engineer (ML): Designing, integrating, and productionizing ML implementations for clients with an accent on LLM capabilities and model training using proprietary data. Focus on optimizing architecture for specific constraints, defining global deployment strategies, and bridging the gap between R&D and real-world client infrastructure.

Location: On-site in Singapore

Company

hirify.global is a leader in AI code review and verification, providing tools to ensure that AI-generated software is reliable, secure, and maintainable for Fortune 100 companies.

What you will do

  • Lead end-to-end ownership of ML implementations, from gathering technical requirements to productionizing systems within client environments.
  • Act as a subject matter expert on LLM capabilities and implementation patterns for both technical and non-technical audiences.
  • Guide model training and tuning using proprietary client data, optimizing for specific constraints such as GPU types and air-gapping.
  • Execute global technical strategies for ML integration, ensuring compliance with sector-specific security standards and performance SLAs.
  • Develop reusable playbooks and libraries to accelerate the deployment of ML solutions across diverse client environments.
  • Collaborate with internal product, research, and sales teams to address real-world infrastructure bottlenecks and emerging technical standards.

Requirements

  • Bachelor's degree in Computer Science or a related field.
  • 2+ years of experience in a technical customer-facing role (Forward Deployed/Consulting) or as a Software/ML Engineer.
  • Proven expertise in the ML lifecycle (training, optimization, deployment) within production environments.
  • Experience deploying high-performance software involving cloud or on-premise ML workloads.
  • Proficiency in Python and modern ML frameworks.
  • Hands-on experience with Docker, Kubernetes, and cloud services like SageMaker, Vertex AI, or Azure AI.

Culture & Benefits

  • Opportunity to work at the forefront of agent-centric software development and AI code verification.
  • Collaboration within a global network of hubs including Austin, London, Singapore, and Tokyo.
  • Company culture driven by the CODE mindset: Committed, Obsessed with quality, Deliberate, and Effective.
  • Commitment to a diverse, equitable, and inclusive work environment.

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