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2 дня назад

AI Engineer (Machine Learning)

120 000PHP
Формат работы
remote (только Philippines)
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
Philippines
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
AI Engineer (Machine Learning) (AI/ML): Building production-grade AI pipelines, APIs, microservices, and RAG systems for enterprise clients with an accent on large language model integration, data pipelines, and reliable cloud deployment. Focus on fine-tuning foundation models, optimizing inference performance, implementing guardrails, and ensuring enterprise data privacy.

Location: Remote within the Philippines, Metro Manila; working hours and holidays follow Australia

Salary: Up to PHP 120,000 per month

Company

hirify.global is a technology consulting and digital transformation firm delivering AI and software solutions for enterprise clients.

What you will do

  • Architect and maintain production-ready AI pipelines, APIs, and microservices for client platforms.
  • Integrate, fine-tune, and optimize LLM, NLP, and machine learning solutions for specific client domains.
  • Build scalable data ingestion, transformation, and vector indexing pipelines for RAG, inference, and training workflows.
  • Monitor and benchmark model accuracy, latency, performance, and resource consumption in production.
  • Collaborate with product managers, backend engineers, consultants, and stakeholders on technical requirements and deployment strategies.
  • Implement guardrails, evaluation frameworks, testing procedures, and data privacy protections.

Requirements

  • 3+ years of professional software engineering experience focused on machine learning systems, enterprise software, or AI application development.
  • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related quantitative field, or equivalent practical experience.
  • Advanced Python proficiency and experience with backend languages such as Node, Go, or Java.
  • Hands-on experience with AI frameworks and libraries including PyTorch, TensorFlow, LangChain, LlamaIndex, or Hugging Face.
  • Experience with relational, NoSQL, and vector databases such as PostgreSQL, MySQL, Pinecone, Weaviate, Qdrant, or pgvector.
  • Experience deploying models to AWS, GCP, or Azure using Docker, Kubernetes, and serverless compute.

Nice to have

  • Experience building RAG architectures and multi-agent AI systems for enterprise clients.
  • Knowledge of model optimization techniques such as quantization, pruning, continuous batching, or vLLM.
  • Familiarity with MLOps, model monitoring tools, and CI/CD pipelines.
  • Strong consulting and communication skills for explaining technical trade-offs to non-technical stakeholders.

Culture & Benefits

  • Remote work from the Philippines.
  • Working hours aligned with Australia.
  • Holidays aligned with Australia.
  • Collaboration with cross-functional consulting and engineering teams on enterprise projects.

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