Senior Applied AI Engineer in Berlin or remote | AI SaaS Product

Match Group
Berlin, Germany
15 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Software as a Service Python (Programming Language) Machine Learning Deep Learning Api Design

Job description

  • Build scalable backend solutions for production environments
  • Improve system performance, reliability, and efficiency
  • Develop and optimise machine learning applications
  • Collaborate with cross-functional product and engineering teams
  • Monitor, evaluate, and continuously improve deployed solutions

Requirements

  • Experience building and deploying machine learning solutions
  • Strong Python development skills
  • Knowledge of modern AI and deep learning frameworks
  • Experience working with APIs and production systems
  • Analytical mindset with strong problem-solving abilities
  • Independent, proactive, and collaborative working style

What we offer

  • Fully remote working model
  • Opportunity to shape an innovative software product
  • High degree of ownership and responsibility
  • Fast-paced and collaborative engineering environment
  • Professional growth and learning opportunities
  • Efficient and transparent hiring process

About the company

At Match on Monday, we are currently supporting an innovative Software company in Berlin in its search for an Applied AI Engineer.

The company develops its own Software-as-a-Service (SaaS) platform and offers an excellent environment for professional growth, a collaborative culture, and a highly motivated team.

You can work remotely but you need to have a work permit for the EU.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.adzuna.de

Good distractions

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Distinguishing artificial intelligence from deep learning

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Overcoming hardware configuration barriers in machine learning

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Prioritizing backward compatibility in API design

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