Senior Machine Learning Engineer – Generative AI

Uno Fluechtlingshilfe; Berlin; Remote; EUR 70.000 - 95.000; Vollzeit

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