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RERepRisk AG

Machine Learning Engineer(m/w/x)

Berlin
Full-timeWith Home OfficeExperienced
AI/ML

Building and optimizing search engines with ML features and LLMs for reputational risk data. Expert-level Python and SQL skills required. 4 weeks work abroad, flexible hours.

Requirements

  • Master's degree in Computer Science, Engineering, Statistics, or related STEM field
  • 3+ years of hands-on ML Engineer experience in production
  • Expert-level Python skills
  • Solid proficiency in SQL
  • Developing and deploying NLP models
  • Developing and deploying information retrieval systems
  • Developing and deploying search engines
  • Integrating AI and LLMs into ML pipelines
  • Software engineering best practices
  • Clean, maintainable, scalable code
  • Cloud platforms experience
  • CI/CD workflows experience
  • Containerized environments experience
  • Proactive mindset
  • Ability to take ownership
  • Ability to drive solutions forward
  • Strong analytical thinking
  • Structured problem-solving
  • Highly efficient execution
  • Excellent communication skills
  • Fluency in English
  • Experience in low-code languages like C++ or Java
  • Experience with AWS, particularly SageMaker
  • Prior experience fine-tuning LLMs
  • Prior experience training LLMs
  • Building and managing data pipelines
  • Valid work permit

Tasks

  • Design and implement ML features
  • Build and optimize multifaceted search engines
  • Develop, integrate, and maintain microservices
  • Apply advancements in ML and LLMs
  • Train, evaluate, and optimize models
  • Collaborate with ML engineers, backend engineers, and product owners
  • Contribute to a well-balanced tech stack
  • Ensure clean, high-quality code
  • Participate in Agile/Scrum processes

Work Experience

  • 3 years

Education

  • Master's degree

Languages

  • EnglishFluent

Tools & Technologies

  • Python
  • SQL
  • NLP
  • AI
  • LLMs
  • AWS
  • SageMaker
  • C++
  • Java

Benefits

Flexible Working

  • Flexible working hours
  • Hybrid work model

Workation & Sabbatical

  • 4 weeks work abroad

Learning & Development

  • Paid training days

Purpose-Driven Work

  • Paid volunteering days

Social Impact

  • Charity donation matching

Healthcare & Fitness

  • Health & fitness subsidy

Team Events

  • Team and social events

Snacks & Drinks

  • Complimentary coffee and refreshments
  • Complimentary fruit and snacks
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of RepRisk AG and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.

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