20 beste Stellen als machine learning engineer in dahlewitz – aktuell auf Personalsuche

Applied AI Engineer
Moss —Berlin
- Vollzeit
- Hybrides Arbeiten
- Informatik
AI Engineer (m/f/d)
Lucid Labs —Berlin
- Vollzeit
- Hybrides Arbeiten
- Informatik
- Master
Direkt bewerben
6 Tage
Data Engineer (f/m/d)
Climate Analytics —Berlin
- 4.363 € – 4.810 € pro Monat
- Vollzeit
- Informatik
- Master
- Bachelor
Direkt bewerben
5 Tage
Data Infrastructure & MLOps Engineer (all genders)
Doodle —Berlin-Kreuzberg
- Bereitschaftsdienst
- Hybrides Arbeiten
- Master
Direkt bewerben
8 Tage
(JUNIOR) MACHINE LEARNING ENGINEER (M/W/D)
Reply —Berlin
- Hybrides Arbeiten
- Azure
- Master
- Datenbanken
- Homeoffice-Möglichkeit
- Weiterbildungsprogramme
4 Tage
JUNIOR GENAI ENGINEER (M/W/D)
Reply —Berlin
- Azure
- Master
- AWS
- Homeoffice-Möglichkeit
- Weiterbildungsprogramme
4 Tage
Senior Software Engineer - Mission Autonomy (All Genders)
SKD SE —Berlin
- Vollzeit
- Doktorat
- Informatik
- Master
11 Tage
Senior Data Scientist (Fixed Term) - (Logistics, Workforce)
Delivery Hero —Berlin
- Hybrides Arbeiten
Direkt bewerben
12 Tage
(Senior) ML/AI Engineer (m/w/d)
Ista SE —Berlin
- Vollzeit
- Informatik
- Datenanalyse
- Java
Senior Engineering Manager, Ad Performance Recommendation
Smartly.io —Berlin
- Doktorat
- Master
Senior ML Engineer (f/m/x) - Computer Vision for Earth Observation
LiveEO GmbH —Berlin
- Überstunden
- Doktorat
- Informatik
- Flexible Arbeitszeiten
Direkt bewerben
Senior AI/ML Engineer, Security Log Intelligence
RedMimicry GmbH —Berlin
- 85.000 € – 94.000 € pro Jahr
- Hybrides Arbeiten
- Doktorat
- Master
- Homeoffice-Möglichkeit
Direkt bewerben
11 Tage
ML Ops / Data Engineer - Robotics
Sensmore —Berlin
- Vollzeit
Direkt bewerben
Senior Data Engineer - Databricks (m/f/*)
Ultra Tendency —Berlin
- Montag bis Freitag
- Homeoffice
- Umzugskostenzuschuss
Direkt bewerben
Data Engineering Consultant - QuantumBlack, AI by McKinsey
McKinsey & Company —Berlin
- Informatik
- Ohne Hochschulabschluss
Data Engineer (m/w/d)
ANGEHEUERT GmbH Personalberatung —Berlin
- Hybrides Arbeiten
- Azure
- Englisch
- APIs
- Gleitzeit
- Flexible Arbeitszeiten
Direkt bewerben
Lead Data Scientist, Revenue - Ads, Revenue
Vinted —Berlin
- 90.100 € – 132.500 € pro Jahr
- Homeoffice-Möglichkeit
- Employee Assistance Program
Werkstudent (w/m/d) Data Science & AI
FLEX Capital Management GmbH —Berlin
- Teilzeit
- Informatik
- Datenanalyse
- Englisch
- Flexible Arbeitszeiten
Direkt bewerben
Senior Data Scientist (m/f/d)
Kayzen —Berlin
- Homeoffice
Direkt bewerben
Senior Applied Scientist (Algorithmic Pricing) - Pricing, Traffic & Trading Tech (All Genders)
Zalando —Berlin
- Vollzeit
- Hybrides Arbeiten
- Doktorat
- Informatik
- Master
- Umzugskostenzuschuss
9 Tage

Ich möchte aktuelle Job-E-Mails für Stellen als machine learning engineer in dahlewitz erhalten

Wenn Sie sich bei Ihrem Konto anmelden, stimmen Sie den Nutzungsbedingungen, den Richtlinien zur Verwendung von Cookies sowie der Datenschutzerklärung von SimplyHired zu.

Applied AI Engineer

Moss -
Berlin

Jetzt bewerben

Details zur Stelle

Vollzeit

Qualifikationen

Informatik

Vollständige Stellenbeschreibung

At Moss, we give finance professionals the power to automate their day-to-day and make forward-thinking decisions.

Our team and culture make us unique — we’re driven by impact and growth, where every one of us strives to learn and excel. Recognised by Sifted’s Rising 100 and LinkedIn's Top Startups, we’re here to help propel your career and together, make Moss a lasting success.

We are hiring an Applied AI Engineer to design, build, and deploy AI-powered products that transform how finance teams work. You will work with frontier language models to create intelligent services, agents, and workflows that deliver real customer value.

Your Responsibilities

Build AI-Powered Products

Design, develop, and deploy AI-enabled applications and services using state-of-the-art language models.
Build intelligent agents and workflows that automate complex finance processes.
Experiment with new AI capabilities and rapidly turn prototypes into production-ready features.

Evaluate and Improve AI Systems

Develop robust evaluation frameworks to measure quality, reliability, and business impact.
Improve model performance through prompt engineering, retrieval-augmented generation (RAG), and other applied AI techniques.
Ensure AI systems are accurate, trustworthy, and deliver a high-quality user experience.

Design for Trust and Control

Build AI systems that are transparent, auditable, and allow users to review and intervene when needed.
Incorporate customer data into AI workflows while maintaining security and privacy standards.

Collaborate Across Functions

Partner closely with product managers, designers, engineers, and finance experts to deliver customer-facing AI solutions.
Help shape Moss's AI product strategy and engineering best practices.

About You

Degree in Computer Science, Mathematics, Engineering, or a related field.
Minimum 4 years of professional engineering experience building and shipping production applications.
Proven experience working with modern LLMs and AI application development.
Strong programming skills in both Python and Java.
Experience building backend services and APIs.
Hands-on experience with AI agents, RAG systems, prompt engineering, or related applied AI techniques.
Ability to balance rapid experimentation with production-quality engineering.
Excellent problem-solving and communication skills.

Relevant Technologies

Candidates should have experience with a subset of the following technologies and be eager to learn others.

AI & Machine Learning

Frontier LLMs: OpenAI, Anthropic, Gemini, Llama, Mistral, or similar
Agent and orchestration frameworks: LangChain, LlamaIndex, Haystack, or similar
Retrieval-Augmented Generation (RAG)
Prompt engineering and evaluation methodologies
Fine-tuning and model adaptation techniques

Software Engineering

Python and Java
REST APIs and backend application development
SQL and modern data storage technologies
Distributed systems and scalable application design

Nice to Have

Experience building customer-facing AI products
Experience in fintech, finance, or enterprise software
Experience with cloud-based AI platforms such as Vertex AI, OpenAI, or Anthropic APIs

About Moss

Moss is the Finance AI platform for Europe's mid-sized businesses, giving companies real-time visibility and full control over their spend. By automating card issuing, invoice management and expenses, Moss simplifies financial workflows and frees finance and accounting teams from manual, administrative work.

Founded in Berlin and used by more than 5,000 businesses including Flink, Schufa, Gusto and Auto1, Moss has raised €200+ million to date and operates in Germany, the Netherlands, the UK and further EU markets. Moss is backed by the most renowned tech investors including Valar Ventures, Tiger Global, Global Founders Capital, Cherry Ventures, A-Star and Portage.

We have a team of 300+ people from 50+ nationalities in 5 offices across Europe. Be part of a culture that thrives on impact and speed, where you can take bold moves, learn fast and accomplish more. We’re a place where you can fast track your career - here's what else to expect:

Top-of-market compensation package, including equity.
Our vibrant offices are at the heart of our culture, where in-person time fuels collaboration and connection over weekly breakfasts and Friday demos.
Additional benefits include: 20 days “work from abroad”, 600EUR/GBP Learning & Development Budget, and other local benefits.

Unless stated otherwise, benefits apply to full-time positions (interns and working students receive a tailored package).

By applying for the above position, you will confirm that you have reviewed and agreed to our Data Privacy Policy.

Jetzt bewerben

Erweiterte Suche

machine learning engineer Jobs in dahlewitz

Applied AI Engineer

AI Engineer (m/f/d)

Data Engineer (f/m/d)

Data Infrastructure & MLOps Engineer (all genders)

(JUNIOR) MACHINE LEARNING ENGINEER (M/W/D)

JUNIOR GENAI ENGINEER (M/W/D)

Senior Software Engineer - Mission Autonomy (All Genders)

Senior Data Scientist (Fixed Term) - (Logistics, Workforce)

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

Senior Engineering Manager, Ad Performance Recommendation

Senior ML Engineer (f/m/x) - Computer Vision for Earth Observation

Senior AI/ML Engineer, Security Log Intelligence

ML Ops / Data Engineer - Robotics

Senior Data Engineer - Databricks (m/f/*)

Data Engineering Consultant - QuantumBlack, AI by McKinsey

Data Engineer (m/w/d)

Lead Data Scientist, Revenue - Ads, Revenue

Werkstudent (w/m/d) Data Science & AI

Senior Data Scientist (m/f/d)

Senior Applied Scientist (Algorithmic Pricing) - Pricing, Traffic & Trading Tech (All Genders)

Ich möchte aktuelle Job-E-Mails für Stellen als machine learning engineer in dahlewitz erhalten

Weitere Job-Standorte erkunden