2 дня назад
AI Engineer (Machine Learning)
120 000PHP
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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