Senior Data Scientist

Peec AI; Berlin; Vor Ort; EUR 90.000 - 130.000; Vollzeit

Benefits dieser Stelle

Aggressive equity compensation package

Paid Dinner & Uber home when working晚

Regular team events and off-sites

The most beautiful office space and in

Zusammenfassung

Peec AI in Berlin is seeking a Backend/ML Engineer to train, test, and ship models powering AI search recommendations. You will build data pipelines and collaborate with engineering to deploy ML solutions, shaping product features through a deep understanding of LLMs.

The role requires strong Python backend skills, experience with APIs and data infrastructure, and the ability to work in a fast‑moving startup.

Qualifikationen

• Proven backend development skills in Python with APIs, data pipelines, or ML infrastructure.
• Deep curiosity about how LLMs work and translating patterns into product features.
• Track record of taking projects from research to production in a fast-moving startup environment.
• Excellent communication skills to explain complex technical concepts to customers and stakeholders.

Aufgaben

• Train, test, and ship models that power Peec AI’s recommendations - helping customers boost their visibility in AI search
• Develop algorithms that extract actionable insights from AI search behavior, creating data-driven recommendations that help brands increase their AI Search visibility
• Own the full model lifecycle from experimentation to production deployment, working closely with engineering to integrate ML solutions into our systems
• Design and implement data pipelines to ingest, process, and analyze large volumes of data

Kenntnisse

Python backend development

API development

Data pipelines

ML infrastructure

FastAPI

Docker

GCP

Tools

Pandas

NumPy

HuggingFace

PyTorch

TensorFlow

ONNX

Cloud Functions

Firestore

Postgres

AlloyDB

BigQuery

Jobbeschreibung

What you’ll do

• Train, test, and ship models that power Peec AI’s recommendations - helping customers boost their visibility in AI search

• Develop algorithms that extract actionable insights from AI search behavior, creating data-driven recommendations that help brands increase their AI Search visibility

• Own the full model lifecycle from experimentation to production deployment, working closely with engineering to integrate ML solutions into our systems

• Design and implement data pipelines to ingest, process, and analyze large volumes of data

What we’re looking for

• Proven backend development skills in Python with experience building APIs, data pipelines, or ML infrastructure, and familiarity with tools like FastAPI, Docker, and cloud platforms (preferably GCP)

• Deep curiosity about how LLMs work, with the ability to reverse-engineer AI search behavior and translate patterns into actionable product features

• Track record of taking projects from research to production in a fast-moving startup environment, with strong problem-solving skills and comfort working with ambiguous, evolving problems

• Excellent communication skills with the ability to explain complex technical concepts to customers and stakeholders

Our Data Science Stack

• Languages: Python, SQL

• Libraries: Pandas, NumPy, HuggingFace, PyTorch, TensorFlow, ONNX

• Backend: GCP, Cloud Functions, Firestore, Postgres, AlloyDB, BigQuery

• AI Models: OpenAI, Claude, Perplexity, Gemini, Llama, etc.

Bonus Points

• Contributions to open-source projects

• Deployed side/hobby projects that we can check out

• Presented research papers at top ML or AI conferences

• Having started a company before or worked at a high-growth startup

• Fluency in Typescript

What we offer

• Exciting and challenging work with real impact and ownership at one of Europe’s fastest-growing Series A startups

• Regular team events and off-sites

• Aggressive equity compensation package

• Paid Dinner & Uber home when working late

• The most beautiful office space and work environment in Berlin