Senior Machine Learning Engineer

Location: Bengaluru India

About the team

The Data Intelligence & Analytics organization builds the core data platform and internal products that power decision-making across the company. We design and operate large-scale data systems own the companys data lake ingestion infrastructure and platform tooling and develop end-to-end applications that transform complex datasets into fast reliable business-critical products used daily by go-to-market product and engineering teams. Our work sits at the intersection of data platforms distributed systems and product development giving engineers the opportunity to own meaningful problems across the stack and build systems that truly run the business.

About the role

We are looking for an experienced Machine Learning Engineer to join our Bengaluru team and help scale the next generation of our AI/ML this role you will build and operate the pipelines behind AI-driven applications Agents Chatbots that power teams across the company including go-to-market engineering and product. Because the products we build are initiated and owned by the team you will be involved end-to-end from shaping requirements and designing systems to implementation deployment and long-term ownership.

You will focus on building scalable reliable services and application backends partnering closely with data and full-stack engineers to deliver new features and operate the pipelines and platforms behind our products. Our stack spans multiple languages and technologies including Python React and TypeScript and continues to evolve. Many of our applications also incorporate strong AI components giving you opportunities to work with modern AI infrastructure and tools such as vector databases MCP-based services and Workers AI.

What youll do

• 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.

Examples of desirable skills knowledge and experience

• 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.

What Makes Cloudflare Special

Were not just a highly ambitious large-scale technology company. Were a highly ambitious large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.

Project Galileo: Since 2014 weve equipped more than 2400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work technology already used by Cloudflares enterprise customers--at no cost.

Athenian Project: In 2017 we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free so that their constituents have access to election information and voter registration. Since the project weve provided services to more than 425 local government election websites in 33 states.

1.1.1.1: We released 1.1.1.1 to help fix the foundation of the Internet by building a faster more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Heres the deal - we dont store client IP addresses never ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers.

Sound like something youd like to be a part of Wed love to hear from you!

This position may require access to information protected under U.S. export control laws including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.

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