Jobs

Platform Engineer (Machine Learning Operations)


Job details
  • Builder.ai - What would you Build?
  • London
  • 1 week ago

About Builder.aiWe’re on a mission to make app building so easy everyone can do it – regardless of their background, tech knowledge or budget. We’ve already helped thousands of entrepreneurs, small businesses and global brands, like NBC Universal and Pepsi, as well as American organizations like Bobcat and Smart Path, achieve their software goals. And we’ve only just started!

Do not wait to apply after reading this description a high application volume is expected for this opportunity.Builder.ai was voted as one of 2023’s ‘Most Innovative Companies in AI’ by Fast Company, and won Europas 2022 ‘Scaleup of the Year’. Our team has grown to over 800 people across the world and our recent announcement of $250m Series D funding (and partnership with Microsoft) means there’s never been a more exciting time to become a Builder.Life at Builder.aiAt Builder.ai we encourage you to experiment! Each role at Builder has unlimited opportunities to learn, progress and challenge the status quo. We want you to help us become even better at supporting our customers and take AI app building to new heights.

Our global team is diverse, collaborative and exceptionally talented. We hire people for their differences but all unite with our shared belief in Builder’s HEARTT values: (Heart, Entrepreneurship, Accountability, Respect, Trust and Transparency) and a let’s-get-stuff-done attitude.

In return for your skills and commitment, we offer a range of great perks, from hybrid working and a variable annual bonus, to employee stock options, generous paid leave, and trips abroad. #WhatWillYouBuildWhy We Need This RoleWe are looking for a Platform Engineer (Machine Learning Operations) to help us maintain and expand an ecosystem of microservices developed within the Artificial Intelligence Group. We leverage a range of AI techniques including large scale knowledge graphs and Generative AI (LLMs for text and images). The role includes ensuring robustness and scalability of AI-based production APIs, as well as data and model training pipelines. As we push the boundaries of what is possible, and scale our systems to improve the services we deliver to customers and internal teams, we need individuals that can help us innovate fast, but maintain a high quality bar.Why You Should JoinThe position will be at the intersection of data science and development operations. The candidate would want to join because of the extreme variety of problems we are facing: support to data scientists in the development of AI-based production APIs; support the design, implementation, deployment, maintenance of our microservices infrastructure, data and model training pipelines. This is an engaging role and the ideal candidate should be an eager problem solver that takes pride in the production of clean, robust and scalable solutions.Our Tech StackPythonSQLCypherGit/Gitlab and CI/CD workflowsTerraformDocker and Kubernetes (kubectl, helm, helmfile)AWS, AzureMinimum Requirements:Computer Science or Software Engineering degree / BSc or higherStrong Python coding experienceExperience with the SQL querying languageExperience working with Docker both in development and deployment environmentsExperience reading/implementing CI/CD workflowsExperience with software engineering best practices: unit testing (with mocks), code reviews, design documentation, excellent debugging, troubleshooting skillsExcellent communication & drive to learn and experimentPassionate about loosely held values and ideas. We want someone who has experience but is not blinded by the path already taken.Makes decisions based on data and evidence.Added Bonus:Background in running KubernetesExperience with Graph databasesHands-on experience in all facets of automation and systems architecture, with particular focus on Linux and open source technologiesExperience with GitLabExperience working in Cloud environments, in particular Azure or AWSBenefits:Attractive quarterly OKR bonus plan or commission scheme dependant on your roleStock options in a $450 million funded Series D scale-up company24 days annual leave + bank holidays2 x Builder family days each yearTime off between Christmas and New YearGenerous Referral Bonus schemePension contributionsPrivate Medical Insurance provided by AXAPrivate Dental Insurance provided by BupaAccess to our Perkbox

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