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Cosuno Trade

Principal ML Engineer

Cosuno Trade is hiring a Principal ML Engineer for a remote role open to applicants in Germany. It pays €120k-€150k a year and Level rates it ; you can apply on Cosuno Trade.

Level's read on this job

  • On Level's scale, this machine learning engineer role is Builds AI ●●●●: the job is building AI systems.
  • The posting lists this role as remote.
  • Tools and skills the posting cites include PyTorch, RAG and AI agents.
  • Level classifies it as a lead role.
  • Level lists 22 other open roles at Cosuno Trade.

AI in this role

pytorch
ragai-agentsfine-tuning
Your mission

Join our ranking team and build the intelligent systems at the core of Cosuno's platform.

  • Ranking & Recommendation: Own and improve the systems that match the right subcontractors to the right tenders.

  • AI for Construction: Take new models and AI capabilities from idea to production — design, train, evaluate, deploy, iterate — and own them end to end.

  • Price Prediction: Improve the models that help users evaluate bids and make better procurement decisions, trained on millions of price data points.

  • Experimentation & Evaluation: Design offline evals, run online A/B tests, and drive metrics-led iteration.

  • AI Agent Development: Build and improve our agentic system that orchestrates multi-step reasoning to navigate the complex, often messy tendering workflow.

  • Ship into the product: Take your work all the way to real users — model, backend service, API, and the integration into our TypeScript web app.

  • Own the problem: Work directly with Product and Data to decide what to build, then build it.

  • Maintain production ML & AI: Monitoring, alerting, and continuous improvement of everything we deploy.

Your profile
  • Ranking & recommendation experience: You've built, evaluated, and improved ranking or recommendation models (learning to rank, reranking, recommender systems), ideally in production with measurable product impact.

  • End-to-end ownership: You've personally taken features from the product problem through data, modelling, and the production service to real users.

  • Product judgment: You understand the business problem, make pragmatic decisions quickly, and know when something is good enough to ship.

  • Strong ML & deep learning background: You have 5+ years building, training, and shipping machine learning models — classical ML and deep learning — in production. You're fluent in a modern deep learning framework, ideally PyTorch.

  • Strong Python: You have 5+ years writing production-grade Python. You write clean, well-structured code.

  • Experimentation rigor: You know how to evaluate models properly — offline metrics, online A/B tests — and let the data decide.

  • Opinionated and pragmatic: You look at a complex system, quickly identify what matters, and make the call. When you're unsure, you find out with data.

We're open on level. If you're at staff level or above, we'd love to hear from you.

Bonus
  • Hands-on experience building and deploying LLM or agent systems — RAG, tool use, evals

  • TypeScript, React, or Node experience to help integrate your work into our web app

  • Experience building search systems or pricing models

  • Experience with embedding models, fine-tuning, or model training at scale

  • Domain exposure to construction, procurement, or marketplaces

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

About us

Cosuno – Revolutionizing construction through technology.

We are Cosuno – a fast-growing tech startup that is making the construction industry more efficient and transparent with our digital platform for tenders and procurement processes. Our goal: to solve the most complex challenges in the industry with innovation and simplicity.

 

How we rate this

Principal ML Engineer at Cosuno Trade rates 98 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

RAGAI agentsFine-tuningPyTorch

Also common in machine learning engineer jobs at this level

Pay

Typical machine learning engineer job
$200k

Use the typical machine learning engineer figure as a reference when pay comes up. See machine learning engineer jobs

Questions you could be asked

  1. How would you design a retrieval step so the model answers from real data instead of guessing?
  2. How do you decide when an AI agent can act on its own versus asking for approval first?
  3. Walk me through fine-tuning a model: what data did you use, and how did you check the result?
  4. What's a project where you used PyTorch hands-on?
  5. How would you decide a model or AI system is ready to ship?

Adapt your resume

  • List these exact terms on your resume: RAG, AI agents, Fine-tuning, and PyTorch. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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