Platform Engineer (Machine Learning Operations)

Builder.ai helps entrepreneurs, small businesses and global brands build apps easily, regardless of technical knowledge or budget.
Machine Learning
Mid-Level Software Engineer
In-Person
501 - 1,000 Employees
3+ years of experience
AI · Enterprise SaaS

Description For Platform Engineer (Machine Learning Operations)

Builder.ai is revolutionizing app development by making it accessible to everyone, regardless of technical expertise or budget. Recently securing $250m in Series D funding and partnering with Microsoft, Builder.ai has been recognized as one of 2023's 'Most Innovative Companies in AI' by Fast Company and won Europas 2022 'Scaleup of the Year'.

As a Platform Engineer (Machine Learning Operations), you'll be crucial in maintaining and expanding our microservices ecosystem within the Artificial Intelligence Group. We work with cutting-edge AI technologies, including large-scale knowledge graphs and Generative AI (LLMs for text and images). Your role will focus on ensuring robust and scalable AI-based production APIs, plus data and model training pipelines.

The position offers a unique intersection of data science and DevOps, presenting diverse challenges from supporting data scientists to implementing microservices infrastructure. You'll work with a modern tech stack including Python, SQL, Docker, Kubernetes, and cloud platforms (AWS, Azure). The role demands strong problem-solving skills and a commitment to producing clean, robust, and scalable solutions.

You'll join a global team of over 800 people, united by Builder's HEARTT values (Heart, Entrepreneurship, Accountability, Respect, Trust, and Transparency). We offer competitive benefits including stock options, private medical and dental insurance, and generous leave policies. This is an opportunity to shape the future of AI-powered app development while working with cutting-edge technologies in a rapidly growing company.

Last updated 3 months ago

Responsibilities For Platform Engineer (Machine Learning Operations)

  • Maintain and expand microservices ecosystem in the AI Group
  • Ensure robustness and scalability of AI-based production APIs
  • Support data scientists in development of AI-based production APIs
  • Implement and maintain data and model training pipelines
  • Design and implement microservices infrastructure

Requirements For Platform Engineer (Machine Learning Operations)

Python
Kubernetes
  • Computer Science or Software Engineering degree / BSc or higher
  • Strong Python coding experience
  • Experience with SQL querying language
  • Experience working with Docker in development and deployment
  • Experience reading/implementing CI/CD workflows
  • Experience with software engineering best practices
  • Excellent communication & drive to learn and experiment
  • Makes decisions based on data and evidence

Benefits For Platform Engineer (Machine Learning Operations)

Medical Insurance
Dental Insurance
Equity
  • Quarterly OKR bonus plan
  • Stock options in Series D scale-up company
  • 24 days annual leave + bank holidays
  • 2 Builder family days each year
  • Time off between Christmas and New Year
  • Generous Referral Bonus scheme
  • Pension contributions
  • Private Medical Insurance (AXA)
  • Private Dental Insurance (Bupa)
  • Perkbox access

Interested in this job?

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