6 дней назад
ML Platform Engineer (AI)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
ML Platform Engineer (AI) (Python/PyTorch/JAX): Build and operate the infrastructure powering AI products, from model training and evaluation to deployment, inference, observability, and continuous improvement, with an accent on reliability, scalability, latency, and cost efficiency. Focus on designing distributed ML platforms, optimizing high-throughput and low-latency model serving, and building reproducible pipelines and evaluation systems for production AI workloads.
Location: Remote, Singapore
Company
is building A1, a proactive AI assistant for conversations, errands, organization, and everyday workflows.
What you will do
- Build and operate ML infrastructure and platforms for AI products.
- Design systems for model training, evaluation, deployment, inference, and experimentation.
- Optimize model-serving infrastructure for high throughput, low latency, reliability, scalability, and cost efficiency.
- Develop reproducible data, training, evaluation, model-release, and continuous-improvement pipelines.
- Build benchmarking, observability, monitoring, tracing, and alerting infrastructure for AI/ML workloads.
- Collaborate with AI engineers, researchers, and product engineers to turn evolving model requirements into production-ready systems.
Requirements
- Strong software engineering fundamentals and experience building production systems.
- Experience with ML infrastructure, platforms, or production machine learning systems.
- Experience with model deployment, inference, evaluation, or data pipelines.
- Strong understanding of distributed systems and system reliability.
- Ability to write clean, maintainable, production-quality code.
- Comfort working in ambiguous, fast-moving environments with strong ownership and continuous-improvement mindset.
Nice to have
- Experience with vLLM, SGLang, or TensorRT-LLM.
- Experience with GPU infrastructure, performance tooling, vector databases, and retrieval infrastructure.
- Experience with workflow orchestration and cloud infrastructure.
Culture & Benefits
- Remote work arrangement based in Singapore.
- Work alongside AI engineers, researchers, and product teams.
- Fast-moving environment focused on experimentation, ownership, and continuous improvement.
- Opportunity to build reusable platform primitives for evolving AI models and inference techniques.
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