Typewise (Y Combinator S22) is a Swiss-American deep tech company, on a mission to make daily lives easier by decoding human thoughts. We build text prediction software that boosts productivity for customer service and sales by 2-3X. Our enterprise clients include Fortune 500 companies across Europe and the US. Our product is a browser extension (JavaScript-based) that empowers employees to answer emails and live chats faster and with higher quality across various CRM systems. We use our proprietary AI technology that we develop together with the world-leading ETH Zurich Institute’s AI Center. We’re looking for an MLOps Engineer (full-time, remote work possible) who will help scale our operations across a growing number of enterprise clients. You will be responsible for maintaining and improving our current DevOps and MLOps pipelines and test framework. Your role will include working closely with both clients and ML Engineers to deploy ML models tailored to their needs.

##Why work for Typewise We’re a 15+ people, passionate, international team based in Zurich, London, Bucharest, Belgrade, and beyond. Our company is remote first and we thrive on a fast-paced, fast-growing, flexible environment with flat hierarchy and individual ownership:

• You will have the chance to make a significant impact on the development of a fresh, innovative and growing product with global potential to reach millions of people
• We employ short decision-making processes, and we use a lean and agile approach to development
• We organize quarterly physical meetups in awesome locations (paid for by the company)
• We allow flexible hours and calendar year with lean structure
• We offer competitive salaries with stock option possibilities

Your profile

• Degree in computer science or comparable experience
• 3+ years of professional MLOps experience
• Strong background in cloud solutions design and implementation (preferably AWS)
• Experience with Docker; Kubernetes is a plus
• Good knowledge of Python
• Understanding of machine learning techniques
• Knowledge of CI/CD tools and concepts
• Practical knowledge delivering and maintaining production software such as APIs and cloud infrastructure with ML models
• Professional and open attitude toward clients
• Team player, inquisitive personality, and a (good) sense of humor

Excited? Say hello!

If you want to be part of an innovative and awesome start-up team, and bring your own ideas to life for millions of users, say hello and send us your CV.