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Appinio

Senior AI Engineer (m/f/d)

Posted 17 Hours Ago
Be an Early Applicant
Remote
8 Locations
Senior level
Remote
8 Locations
Senior level
As a Senior AI Engineer, you will develop prototypes and microservices, create MLOps pipelines, automate processes, and support AI workshops. Collaborating closely with teams, you will implement AI-driven solutions to improve business workflows.
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Allow us to introduce ourselves

Hello there! We’re Appinio, the fastest (and coolest) market research platform. On a mission to make the world a little more fact-based, we help companies understand how consumers think and make better data-driven decisions.

We started out in Hamburg back in 2014 but we’re now humbled to call the world our playground, with over 260 employees spread across 15 countries (we’re remote-first), 2600+ international clients, delivering research from +190 markets, globally.

Want to be a part of the Appinio movement? 🚀

Here at Appinio, we value transparency in our recruitment process, and we've created a blog to share what to expect during each step of our journey together: here
Your mission as a Senior AI Engineer

We are looking for a passionate Senior AI Engineer to join our amazing 5-headed Special Ops team. In this role, you will be responsible for not only developing prototypes and in-production microservices, leveraging LLMs and automating business processes building automation pipelines.

What you’ll be doing

  • Develop prototypes using new technologies and in-production microservices leveraging ML and LLMs for the market research domain.
  • Create and manage robust MLOps pipelines to automate model training, validation, deployment, monitoring, and retraining.
  • Automate business processes using microservices and no-code platforms like Zapier
  • Conducting and supporting AI workshops across different teams in the company as well as gathering AI use cases that could help them increase their productivity.
  • Collaborate closely with the SpecialOps team to identify AI-driven solutions and integrate them into business workflows

You will thrive in this role if

  • You often take the initiative and seek ownership of your work
  • You are a proactive problem solver, always seeking innovative solutions and continuously improving processes
  • You have a strong foundation in data science and experience working on projects involving tabular data and unstructured data.
  • You are experienced working in GenAI projects and especially LLMs.
  • You have experience with Python and AWS services (serverless architectures, SageMaker, Bedrock…)
  • Node.js and JavaScript are beneficial, but not a must
  • You thrive in a collaborative environment, valuing team input and ensuring alignment with project goals

What’s in it for you?

  • Flexibility Policy - Our flexibility policy means there is no hard cap on the number of vacation days you can take.
  • Work-from-anywhere Policy - If you're based in the EU, you can work outside your country of residence for up to 180 days per year. 
  • All the hardware you need and your own MacBook
  • If you are located in Hamburg or Berlin, you'll get a Deutschland ticket or access to a mobility budget with the NAVIT app to get you to and from the office space.
  • If you are located in Germany or Spain, you will have access to a Subsidised Urban Sports Club membership.
  • In case you’re located in one of the cities where most of our fellow Appinioneers are (Hamburg, Berlin, Munich, London, Madrid, Barcelona, or New York), you can get access to our Co-working spaces.


Kind reminder:
Please ensure that your application is submitted in English.

This post not only outlines our ideal candidate but also serves as an inspiration for what this role can evolve into. Even if you consider yourself an 80% fit but have a genuine passion for this position, we encourage you to apply. We're eager to hear from individuals who share our enthusiasm.

Appinio is an equal-opportunity employer. All applicants will be considered for employment without attention to race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

Learn more about us:

 appinio.com    LinkedIn    Xing     Kununu    Instagram

 

Top Skills

JavaScript
Node.js
Python

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