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2 месяца назад

Applied Machine Learning Engineer (AI)

150 000 - 191 000SGD
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
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
Applied Machine Learning Engineer (AI): Developing, fine-tuning, and operationalizing machine learning models and AI-powered applications for enterprise customers with an accent on customer-facing deployments, model enablement, and platform integration. Focus on building proof-of-concepts, optimizing low-latency inference and scalable model serving, and integrating new models into production environments.

Location: Singapore

Salary: SGD 150K–SGD 191K, plus equity

Company

hirify.global provides an AI platform for building, training, and serving specialized models across text, image, embedding, audio, and multimodal workloads.

What you will do

  • Collaborate with Account Executives and Solutions Architects to integrate and deploy machine learning solutions for customers.
  • Build and present demonstrations and proof-of-concepts showcasing AI capabilities.
  • Design, develop, and deploy end-to-end AI-powered applications tailored to customer needs.
  • Contribute features and bug fixes to the internal machine learning platform.
  • Enable new machine learning models in the platform and customer environments.
  • Optimize the performance, efficiency, and scalability of deployed models and applications while supporting partner solutions.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, or a related technical field.
  • 5+ years of software engineering experience, preferably in customer-facing roles.
  • Strong coding skills, preferably with Python.
  • Ability to lead and execute complex technical projects with a focus on customer success.
  • Strong interpersonal and communication skills in dynamic, cross-functional teams.
  • Solid understanding of generative AI, machine learning principles, and enterprise infrastructure.

Nice to have

  • Master’s degree in Computer Science, Engineering, or a related technical field.
  • Experience working in a startup or fast-paced environment.
  • Hands-on experience fine-tuning machine learning models, including supervised fine-tuning (SFT) and reinforcement learning from human feedback or reinforcement fine-tuning (RLHF/RFT).

Culture & Benefits

  • Work on advanced AI infrastructure, including low-latency inference and scalable model serving.
  • Build technology used by businesses and developers to harness AI.
  • High ownership and direct impact in a fast-growing environment with minimal bureaucracy.
  • Collaborate with experienced engineers and AI researchers.
  • Equity compensation is offered.

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