Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
Пожаловаться
Зарплата и рынок
По международному рынку данных пока нет
На СНГ рынке: $4.5к/мес ($3.8к - $5.9к)
88
Крутая вакансия
развернуть
Чётко очерченная senior-роль даёт возможность отвечать за production AI-системы, работать с современным ML-стеком и получать хорошие бонусы, но потребует постоянно адаптироваться к быстрому развитию AI.
Кликните для подробной информации
Высокий темп AIСовременный ML-стекСфера AIЗона ответственностиХорошие бонусы
Оценка от Hirify AI
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Подключить Plus
Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior AI/ML Engineer (AI/ML, Python): Designing, building, and operating production AI/ML systems for eCommerce search, discovery, and customer engagement with an accent on scalable ML pipelines, LLM applications, agentic workflows, and inference optimization. Focus on building multi-step AI systems, evaluating model quality and fairness, optimizing latency and cost, and leading end-to-end delivery of production AI initiatives.
Location: Remote from anywhere in Vietnam; locations listed as Ho Chi Minh City or Hanoi
Company
hirify.global builds software and AI-powered products for eCommerce merchants, including Clearer, Boost Commerce, REVIEWS.io, and Influence.
What you will do
Design, build, and operate production AI/ML systems for user experience and business outcomes.
Develop scalable ML pipelines on Databricks and AWS for ingestion, feature engineering, training, evaluation, serving, monitoring, drift detection, and retraining.
Build agentic workflows combining models, tools, and data for planning, tool use, structured outputs, and failure handling.
Optimize model training and inference for latency and cost through profiling, architectural improvements, TensorRT, quantization, and batching.
Establish offline evaluation, online A/B testing, quality guardrails, fairness, bias mitigation, and responsible AI practices.
Lead cross-functional AI/ML delivery, improve AI-enabled engineering workflows, measure impact, and mentor engineers.
Requirements
5+ years of software engineering experience focused on machine learning systems, model development, or ML infrastructure.
Proven experience deploying AI/ML solutions at scale in production.
Experience in at least one specialized ML domain: search, recommendation systems, NLP, computer vision, or generative AI.
Experience owning end-to-end AI/ML project delivery, including technical design, cross-functional collaboration, and operational readiness.
Experience using Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring.
Familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL, data exploration, and engineering workflow improvement.
Experience integrating AI tools to improve engineering efficiency or code quality, or redesign workflows with measurable impact.
Ongoing development of AI skills, including prompt and context engineering or agent orchestration, and awareness of new AI technologies.
Excellent communication and mentorship skills; good written and verbal English communication.
LLM observability and evaluation tooling, Docker/Kubernetes, and CI/CD for ML.
Culture & Benefits
100% remote work from anywhere in Vietnam, with offline meet-ups, monthly gatherings, and a year-end party.
20 days of annual time off in addition to Vietnam holidays.
Performance-based year-end bonus, wellness allowance, Generali health care, and annual check-up.
MacBook provided, plus technical and general workshops and online learning resources.
Paid birthday day off, annual Give Back Day, peer recognition rewards, and international collaboration.
Opportunities for funded trips or team days at global offices through Clearer Together and Stopover programs.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →