AI Systems Engineer

Vor 6 Tagen


Berlin, Berlin, Deutschland Technology & Strategy Vollzeit
Job Overview

We are seeking a highly skilled AI Systems Engineer to join our international team at Technology & Strategy. As an expert in building scalable systems, you will play a key role in developing cutting-edge AI solutions for various industries.

About the Role

The successful candidate will have strong knowledge in building scalable data processing pipelines with AWS and experience in scripting for automation (e.g., Python). You will work closely with science and engineering teams to build AI reasoning systems using LLMs, handle large-scale data annotations, and automate pre/post-processing pipelines.

In addition to your technical expertise, you will possess exceptional oral and written communication skills, effectively communicating complex business concepts to senior stakeholders.

Key Responsibilities
  • Design and develop scalable systems for AI reasoning with LLMs
  • Built a system that generates automatically annotated data with an existing reasoning engine (AI planner, simulator, proof planner)
  • Handle large-scale data annotations and automate pre/post-processing pipelines, including data lake management in S3 and compute resources
  • Built pipelines for training and fine-tuning LLMs
  • Developed an experimental test harness able to run experiments in multiple domains with minimal adaptation
Requirements
  • Strong knowledge in building scalable data processing pipelines ideally with AWS
  • At least 3+ years of experience in Analytics and Data Engineering (DE) with evidence of increasing responsibility
  • Experience in scripting for automation (e.g., Python) and advanced SQL skills
  • Capacity to independently lead and execute end-to-end insight projects, including asking the right questions, managing complex datasets, iterating on findings, and providing strategic guidance and recommendations to an engineering team
Preferred Qualifications
  • Strong knowledge of relevant ML tools (PyTorch, TensorFlow, Keras, SageMaker ecosystem)
  • Master's degree in statistics, data science, computer science, or an equivalent quantitative field
  • Experience with training/deploying deep learning/ML models
Benefits

As a valued member of our team, you can expect:

  • Flexible working hours and home-office facilities
  • 30 days' holiday per year
  • Opportunities for professional growth and development
  • International and multi-cultural team environment
  • Paid training, certifications, and language courses (English and German)

Salary: $120,000 - $150,000 per annum based on location and experience.



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