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Senior Machine Learning Engineer – Generative AI

Uno Fluechtlingshilfe

Berlin

Remote

EUR 70.000 - 95.000

Vollzeit

Gestern
Sei unter den ersten Bewerbenden

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Zusammenfassung

Join a leading company addressing challenges in the construction industry as an ML Engineer. Leverage your expertise in machine learning and LLMs to develop state-of-the-art solutions within a collaborative, fully remote team environment. Enjoy flexible working conditions and significant career growth opportunities in an innovative atmosphere.

Leistungen

Flexible working hours
Fully remote work culture
Company off-sites and team events
Competitive compensation and permanent contract
Open feedback culture

Qualifikationen

  • 5+ years of ML engineering experience, including ≥ 1 year with LLMs.
  • Strong Python skills with production-grade practices.
  • Proven experience deploying containerized services at scale.

Aufgaben

  • Manage end-to-end ML workflows from data ingestion to production deployment.
  • Collaborate across teams to translate business needs into technical solutions.
  • Establish best practices for LLMops and performance tracking.

Kenntnisse

Machine Learning Engineering
Python
Deep Learning
Containerization
Communication

Ausbildung

Master's/PhD in ML, CS, Statistics

Tools

PyTorch
Docker
Kubernetes

Jobbeschreibung

Your mission
  • Own end-to-end ML workflows: data ingestion, feature engineering, training, evaluation & production deployment

  • Deep-dive into at least one core application domain: (1) price prediction; (2) two-sided market design (ranking / recommendations); (3) agentic workflows using state of the art LLMs; from prototype to robust production services.

  • Establish and enforce LLMops best practices: design reproducible prompt-engineering workflows, manage model/version tracking, automate evaluation (e.g. evals frameworks), monitor latency/cost, and refine prompts based on performance metrics.

  • Set up performance tracking, alerting and automated evaluation to ensure model health in production.

  • Collaborate across product, engineering and data science to translate business needs into technical solutions.

  • Spar with peers in the AI team and contribute to code reviews, best practices and tooling for reproducible, production-grade ML.


Your profile
  • 5+ years of ML engineering experience, including ≥ 1 year working with LLMs

  • Strong Python skills and production-grade code practices (testing, CI/CD)

  • Deep expertise in at least one of:

    • Deep learning (PyTorch, Transformers)

    • Ranking / matching algorithms

    • LLMops (RAG, evals, fine-tuning, agentic workflows)

  • Proven track record deploying containerized services at scale (Docker, Kubernetes)

  • Clear communicator who bridges data science, product and engineering

  • Master's/PhD in ML, CS, Statistics or related

  • Passion for the craft of ML and deep learning: you love learning and keep up-to-date with the state of the art.

  • Pride in writing clean, maintainable code.

  • The customer's interest is at the center of everything you do, and you always think in their perspective.


Why us?
  • Shape a product that solves real-life problems in the construction industry

  • Work in an open-minded, collaborative, dynamic, and international team

  • Fully remote team and work culture

  • Freedom in your working hours. It's the results that count.

  • Company off-sites and regular team events (offline and online)

  • Flexible working conditions with the possibility to do workations

  • Competitive compensation, a permanent contract, and modern work equipment

  • Open feedback culture with regular 1-on-1s

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