data
Posted Apr 21Senior Machine Learning Engineer
at LazyApply
On-site
Responsibilities
- Deploy, manage & support ML Applications & Services on Kubernetes
- Lead development of efficiencies to boost model training to deployment lead times
Requirements
- As a result, they see significant improvement in performance and a decrease in spam and other attacks.
- We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools.
- Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up.
- If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in.
- We design and operate large-scale data systems, own the company’s 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.
- We are looking for an experienced Machine Learning Engineer to join our Bengaluru team and help scale the next generation of our AI/ML models.
- In 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.
- 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 you'll do
- 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.
- Leverage Cloudflare products and services for AI & ML initiatives and applications
- M.S or Ph.D in Computer Science, Statistics, Mathematics, or other quantitative fields.
- 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
- 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.
- Demonstrated ability to design scalable, reliable, and observable systems, with
- Cloudflare never charges application fees or requires candidates to purchase third-party certifications or training as a condition of employment.
- Fundamental to our mission to help build a better Internet is protecting the free and open Internet.
- Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process.
Experience
- 5+ years of ML Engineering experience with proven industry
Benefits
- All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law.
Contact
- All official communication comes strictly from @ cloudflare.com email addresses.
- Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.
Additional details
- At Cloudflare, we are on a mission to help build a better Internet.
- Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies.
- Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code.
- Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request.
- Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.
- At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with.
- The Data Intelligence & Analytics organization builds the core data platform and internal products that power decision-making across the company.
- 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
- 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.