16 часов назад
Machine Learning Platform Engineer (AI/ML)
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
Machine Learning Platform Engineer (AI/ML): Building core infrastructure that enables engineers and data scientists to create, train, evaluate, deploy, and manage machine learning models and pipelines with an accent on end-to-end ML systems, MLOps automation, and generative AI. Focus on designing scalable distributed systems, optimizing ML infrastructure performance, and developing LLM and RAG capabilities from technical design through launch.
Location: Remote, Sydney, Australia, or Singapore. Work may be performed from an office, from home, or a combination of both. Hiring is available in countries where has a legal entity.
Company
develops collaboration and productivity software, including Jira and Confluence, to help teams work together.
What you will do
- Develop and refine core infrastructure for creating, training, evaluating, deploying, and managing machine learning models and pipelines.
- Partner with product teams such as Jira and Confluence to solve ML infrastructure and application challenges.
- Build ML datasets, fine-tune open-source large language models, and integrate proprietary LLMs.
- Lead projects from technical design through launch and contribute to company-wide engineering initiatives.
- Deliver code reviews, documentation, bug fixes, and solutions used to build AI features for millions of customers.
- Mentor junior team members and collaborate with engineering teams and internal stakeholders.
Requirements
- At least 2 years of experience building machine learning, AI infrastructure, platforms, or systems.
- End-to-end ML lifecycle experience, including data engineering, model serving, deployment, and monitoring.
- Deep experience with MLOps, CI/CD pipelines, and automation for continuous model training, deployment, and monitoring.
- Experience designing scalable, fault-tolerant, high-performance distributed systems for machine learning.
- Expert proficiency in Python and ML frameworks such as PyTorch, TensorFlow, or JAX.
- Experience with cloud platforms, GPU compute, distributed data processing, performance optimization, GenAI frameworks, LLM fine-tuning, and RAG systems.
Nice to have
- Familiarity with Go, Java, or Scala.
Culture & Benefits
- Flexible choice of office-based, home-based, or combined work.
- Health and wellbeing resources.
- Paid volunteer days and community support programs.
- Benefits, bonuses, commissions, and equity may be available depending on the role and local conditions.
- Accommodations or adjustments are available during the recruitment process.
Hiring process
- Identity verification, which may include biometric data, is a condition of employment for fraud-prevention purposes.
- Recruitment accommodations can be requested at any stage.
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