20 beste Stellen als machine learning engineer (m/w/d) in berlin mitte, be – aktuell auf Personalsuche

Data Scientist
Reflow —Berlin
- Vollzeit
- Homeoffice
- SQL
- Machine Learning
- Führungserfahrung
Direkt bewerben
Applied Scientist - LLM, Alexa Conversational Modelling Intelligence
Amazon Development Center Germany GmbH —Berlin
- Vollzeit
- Doktorat
- Informatik
- Java
(Senior) ML/AI Engineer (m/w/d)
Ista SE —Berlin
- Vollzeit
- Azure
- Informatik
- Englisch
(Senior) Data Engineer | Schwerpunkt Operations (w/m/d)
Kienbaum Consultants International GmbH —Berlin
- Teilzeit
- Informatik
- Englisch
- Java
Berater für Digitale Transformation & KI (m/w/d) – Ideal für Quereinsteiger
mycareernow GmbH —Falkensee
- Ab 50.000 € pro Jahr
- Teilzeit
- Homeoffice
- Machine Learning
- PC-Kenntnisse
- Künstliche Intelligenz
- Weiterbildungsprogramme
Direkt bewerben
Senior Data Engineer (m/f/d)
Eberlein Kunz —Berlin
- Vollzeit
- Azure
- Englisch
- SQL
- Flexible Arbeitszeiten
Direkt bewerben
3 Tage
Team Lead Data Science (f/m/x)
Enpal —Berlin
- Vollzeit
- Azure
- Informatik
- Forschungserfahrung
Direkt bewerben
13 Tage
Senior Data Scientist - Europe
Xenon7 —Berlin
- Homeoffice
- Master
- AWS
- Machine Learning
Direkt bewerben
Data Team Lead (incl. GenAI) (m/f/d)
Smartbroker AG —Berlin
- Vollzeit
- Informatik
- Java
- SQL
Direkt bewerben
Quereinsteiger Physiker / Mathematiker als Software Engineer Data & AI (mwd)
HMS Analytical Software GmbH —Berlin
- Teilzeit
- Hybrides Arbeiten
- Englisch
- Machine Learning
- Künstliche Intelligenz
- Erfolgsbeteiligung
- Flexible Arbeitszeiten
Sr. Applied AI Engineer
Taktile —Berlin
- Vollzeit
- Hybrides Arbeiten
- Microsoft Excel
- Azure
- SQL
Machine Learning Engineer - AI Trainer - Freelance - 8-20 hrs/week - Remote
10x Team —Berlin
- 82 € – 132 € pro Stunde
- Homeoffice
- Machine Learning
- Künstliche Intelligenz
Direkt bewerben
Data Scientist (m/f/d) - Sales Forecasting & Pricing
home24 SE —Berlin
- Vollzeit
- Hybrides Arbeiten
- SQL
- AWS
- Machine Learning
- Homeoffice-Möglichkeit
Senior Data Scientist – Berlin (On-Site)
mama —Berlin
- Vollzeit
- Azure
- Master
- SQL
- Mitgliedschaft im Fitnessstudio
Direkt bewerben
13 Tage
AI & Machine Learning Engineer (all genders)
msg systems ag —Berlin
- Online-Bewerbung
- Azure
- Englisch
- Master
- Weiterbildungsprogramme
- Aufstiegsmöglichkeiten
Data Scientist
JINGDONG RETAIL (UK) LIMITED —Berlin
- Vollzeit
- Azure
- Datenanalyse
- Master
Direkt bewerben
6 Tage
Data Engineer (all genders)
GROPYUS —Berlin
- Machine Learning
- Künstliche Intelligenz
- Führungserfahrung
- Homeoffice-Möglichkeit
Direkt bewerben
4 Tage
AI Engineer – Computer Vision, AI Agents & Model Deployment (Part-Time)
YOONA Ventures GmbH —Berlin
- Teilzeit
- Forschungserfahrung
- AWS
- Machine Learning
Praktikum Data Engineer im Bereich Advanced Analytics (m/w/d)
Simon-Kucher & Partners —Berlin
- Per E-Mail
- Englisch
- Datenbanken
- SQL
- Weiterbildungsprogramme
Data Engineer
JINGDONG RETAIL (UK) LIMITED —Berlin
- Vollzeit
- Azure
- Informatik
- Java
Direkt bewerben
6 Tage

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machine learning engineer (m/w/d) jobs near berlin mitte, be

Data Scientist

Reflow -
Berlin

Direkt bewerben

Details zur Stelle

Vollzeit

Qualifikationen

SQL
Machine Learning
Führungserfahrung
Python

Vollständige Stellenbeschreibung

We’re building Reflow, a workforce and workflow intelligence platform that helps teams understand and improve how work gets done. We’re a U.S.-based tech company with a high bar for talent, ownership, and execution — and we’re intentional about building a strong, globally distributed team from the start.

We need a Data Scientist to help design and build the algorithms that power insights, pre-label data, and reduce the need for manual configuration by users. This role sits at the intersection of machine learning, product, and data, turning complex data into clear, actionable value for our customers.

What you’ll do

Design and build algorithms that power Reflow’s core intelligence and analytics capabilities.
Develop models to pre-label, classify, and structure data, reducing the need for manual setup by users.
Collaborate with machine learning engineers to productionize models and integrate them into scalable systems.
Partner with product and engineering to translate business problems into data-driven solutions.
Build and iterate on models that generate insights, predictions, and recommendations.
Help define and improve data structures that support modeling, analysis, and automation.
Work on improving the SOP driven experience by reducing manual steps and increasing automation.
Analyze complex datasets to identify patterns, trends, and opportunities for product value.
Continuously evaluate model performance and iterate to improve accuracy, reliability, and impact.
Ensure solutions are efficient, scalable, and aligned with real-world workflows and user needs.

Who you are

Experienced in applied data science, machine learning, or advanced analytics in a product-driven environment.
Strong foundation in statistics, modeling, and experimental design.
Hands-on with Python and common data science libraries.
Comfortable building and evaluating models that move into production.
Strong SQL skills and ability to work with large, complex datasets.
Able to translate ambiguous problems into structured, data-driven solutions.
Focused on building systems that reduce manual work and deliver clear value to users.
Collaborative and comfortable working across engineering, product, and leadership teams.

Bonus points

Experience with pre-labeling, weak supervision, or automated data labeling techniques.
Familiarity with recommendation systems, classification, or predictive modeling.
Experience working with ML engineers to productionize models.
Understanding of workflow automation, process optimization, or operations analytics.
Exposure to real-time data or event-driven systems.

Why join

You’ll help build the intelligence layer of Reflow, creating the algorithms that power automation, reduce manual setup, and unlock meaningful insights for our customers. You’ll work directly with founders and engineers across product, data, and machine learning to shape how intelligence is delivered at scale. This is a high-impact role focused on turning data into real, measurable value.

We’re open to part-time or full-time. Ideal for builders who care about applying machine learning to solve real-world problems and creating systems that make users more effective.

Compensation:

We offer competitive pay based on the market and where you’re located. The salary ranges in our job postings are intentionally wide because they need to cover both U.S. and international candidates. Our final offer will depend on things like your experience, skill set, and location.

Direkt bewerben

Erweiterte Suche

machine learning engineer (m/w/d) Jobs in berlin mitte, be

Data Scientist

Applied Scientist - LLM, Alexa Conversational Modelling Intelligence

(Senior) ML/AI Engineer (m/w/d)

(Senior) Data Engineer | Schwerpunkt Operations (w/m/d)

Berater für Digitale Transformation & KI (m/w/d) – Ideal für Quereinsteiger

Senior Data Engineer (m/f/d)

Team Lead Data Science (f/m/x)

Senior Data Scientist - Europe

Data Team Lead (incl. GenAI) (m/f/d)

Quereinsteiger Physiker / Mathematiker als Software Engineer Data & AI (mwd)

Sr. Applied AI Engineer

Machine Learning Engineer - AI Trainer - Freelance - 8-20 hrs/week - Remote

Data Scientist (m/f/d) - Sales Forecasting & Pricing

Senior Data Scientist – Berlin (On-Site)

AI & Machine Learning Engineer (all genders)

Data Scientist

Data Engineer (all genders)

AI Engineer – Computer Vision, AI Agents & Model Deployment (Part-Time)

Praktikum Data Engineer im Bereich Advanced Analytics (m/w/d)

Data Engineer

Ich möchte aktuelle Job-E-Mails für Stellen als machine learning engineer (m/w/d) in berlin mitte, be erhalten

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