Cloudflare
Senior Machine Learning Engineer
Vaga remota de Business Intelligence com fit claro de localização do candidato.
PublicadaAdicionada recentemente
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Sinal de senioridadeSenior
Modelo de trabalhoRemoto
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Resumo da vaga
Senior Machine Learning Engineer
Requisitos e responsabilidades
Conteúdo da vaga extraído em seções para revisão mais rápida.
About the role
- Deploy, manage & support ML Applications & Services on Kubernetes
- Understand MLOps landscape i.e tooling, tech stack, source systems etc. and work on introducing new tools and solutions for ML & AI initiatives.
- Partner and align with Data Scientists, Data Engineers and internal teams to deliver ML solutions in a globally distributed environment.
- Lead development of efficiencies to boost model training to deployment lead times
- Understand business/product strategy and high-level roadmap and align analysis efforts to enable them with data insights and help achieve their strategic goals.
- Leverage Cloudflare products and services for AI & ML initiatives and applications
- Use software engineering best practices to publish model scores/insights/learnings at scale within the company.
About the role
- M.S or Ph.D in Computer Science, Statistics, Mathematics, or other quantitative fields.
- 5+ years of ML Engineering experience with proven industry experience in a large scale environment (PBs scale & globally distributed teams)
- Strong experience in scientific computing using Python with Scikit-Learn & PyTorch or Tensorflow.
- Strong experience working with Docker & Kubernetes to build and deploy applications and systems.
- Experience working with ML Platform tools (AirFlow, Argo Workflows, ArgoCD) preferred.
- Experience working with Data Scientists to deploy Machine Learning applications systems for training, inference and observability.
- Experience with Full-stack Web technologies and languages (FastAPI, Streamlit, JavaScript/TypeScript, Cloudflare Workers, etc.) preferred with the ability to quickly learn and contribute across a multi-language stack.
- Experience with Terraform, Google Cloud Platform (or any other public cloud equivalent) etc.
- Experience working with CI/CD systems, version control (Git, Bitbucket, etc.), testing (Pytest, etc.) and DevOps tools.
- Experience with Databases such as BigQuery, Postgres, SQLite and ETL/ELT practices
- Strong cross-functional collaboration experience with data engineering and data analysts teams within the function.
- Proficiency in large language models and the frameworks like Langchain, LangGraph, etc. necessary for implementing GenAI applications, such as chatbots and related use cases.
- Strong communication and presentation skills catered to different audiences within the company.
- Demonstrated ability to design scalable, reliable, and observable systems, with experience influencing architecture and improving platform foundations.
- Strong problem-solving and communication skills, with a track record of working effectively with cross-functional partners and driving projects through ambiguous problem spaces.
- Experience mentoring engineers, leading by example in code and design, and contributing to a culture of technical excellence.
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