Save application

Vestigas

21 days ago

Team Lead AI Engineering (f/m/d)

Hybrid · München (Hybrid)

pythonterraformazure mlopsmachine learningend-to-end ml lifecyclenatural language processing (nlp)image processing / computer visionpythonazureterraformgenerative aiocrai agentsdata pipelinesproduction deploymentuncertainty estimationtestinclean codeclaudecursorchatgptai toolsleadershipmanagementpeople managementmanaging engineerstechnical strategy

arbeitnow

Match & cover letter

Create a profile to see your match and get a cover letter for this role.

Create profile and match

Source: arbeitnow

Never pay or share passwords or codes with an employer. How to spot a fake job

AI TL;DR

You will lead a team of AI engineers to develop and maintain AI infrastructure for a construction supply chain platform. This role involves both technical direction and people management in a hybrid work environment in Munich.

AI match

Clear role · 80/100 against the market band on this page.

Interview prep for this job

  1. What would you ship in the first month as Team Lead AI Engineering (f/m/d) at Vestigas?
  2. Which tradeoff in the description would you ask about first?
  3. How do you explain a production incident to this team?
  4. What would you measure in the first two weeks?
  5. Which part of your last project maps to this stack?

Five questions are free. The rest are Pro. See Pro

Similar roles

Job description

You will lead a team of AI engineers to develop and maintain AI infrastructure for a construction supply chain platform. This role involves both technical direction and people management in a hybrid work environment in Munich.

Details

  • München, hybrid work with at least two days in the office
  • 5+ years of experience in AI engineering, 1+ years in a leadership role
  • Strong skills in Python, experience with Azure and Terraform

The work

  • Lead and grow a team of AI engineers, providing technical direction and leadership
  • Own MLOps processes and ensure reliability and scalability of AI systems
  • Drive design and implementation of advanced AI features and data pipelines
  • Establish engineering standards and coach team members for professional growth