13 beste Stellen als machine learning engineer in berlin, be – aktuell auf Personalsuche

Senior Data Scientist - Europe
Xenon7 —Berlin
- Homeoffice
- Master
- AWS
- Machine Learning
Direkt bewerben
13 Tage
Senior Data Engineer (d/m/w) – Banking | Data Analytics Personalisierung
Sparkassen Rating und Risikosysteme GmbH —Berlin
- Hybrides Arbeiten
- Azure
- Informatik
- Java
- Gleitzeit
- Weiterbildungsprogramme
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Junior AI Engineer (m/f/d)
Artefact —Berlin
- Vollzeit
- Azure
- Informatik
- Master
- Flexible Arbeitszeiten
13 Std.
Senior Staff Customer Engineer – Automotive AI
Sonatus —Berlin
- Homeoffice
- Azure
- Doktorat
- Informatik
Direkt bewerben
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
Data Engineer (all genders)
GROPYUS —Berlin
- Machine Learning
- Künstliche Intelligenz
- Führungserfahrung
- Homeoffice-Möglichkeit
Direkt bewerben
5 Std.
Data Engineer
JINGDONG RETAIL (UK) LIMITED —Berlin
- Vollzeit
- Azure
- Informatik
- Java
Direkt bewerben
2 Tage
SENIOR CONSULTANT - DATA ENGINEERING & AI DATA PRODUCTS (M/W/D)
Berlin, München —Berlin
- Hybrides Arbeiten
- Azure
- Englisch
- SQL
- Weiterbildungsprogramme
13 Tage
Senior Data Engineer - Google Cloud Platform Berlin (m/w/d)
Schwarz Corporate Solutions —Berlin
- Vollzeit
- Englisch
- Künstliche Intelligenz
- Python
12 Tage
Data Scientist
JINGDONG RETAIL (UK) LIMITED —Berlin
- Vollzeit
- Azure
- Datenanalyse
- Master
Direkt bewerben
1 Tag
Senior AI Engineer (m/f/d)
Artefact —Berlin
- Vollzeit
- Azure
- Informatik
- Kundenberatung
- Flexible Arbeitszeiten
15 Std.
(Senior) Applied Scientist, Search
Wolt - English —Berlin
- Homeoffice
- Doktorat
- Forschungserfahrung
- Machine Learning
Direkt bewerben
5 Tage
Data Scientist (m/w/d) // Remote möglich
E. Breuninger GmbH & Co. —Berlin
- Per E-Mail
- Persönlich
- Azure
- Datenanalyse
- Englisch
- Homeoffice-Möglichkeit
Direkt bewerben
2 Tage

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Senior Data Scientist - Europe

Xenon7
Berlin

Direkt bewerben

Details zur Stelle

vor 13 Tagen

Qualifikationen

TensorFlow
Cloud-Architektur
Master
AWS
Machine Learning
S3
Künstliche Intelligenz
Python

Vollständige Stellenbeschreibung

About us:

Where elite tech talent meets world-class opportunities!

At Xenon7, we work with leading enterprises and innovative startups on exciting, cutting-edge projects that leverage the latest technologies across various domains of IT including Data, Web, Infrastructure, AI, and many others. Our expertise in IT solutions development and on-demand resources allows us to partner with clients on transformative initiatives, driving innovation and business growth. Whether it's empowering global organizations or collaborating with trailblazing startups, we are committed to delivering advanced, impactful solutions that meet today’s most complex challenges.

We are building a community of top-tier experts and we’re opening the doors to an exclusive group of exceptional AI & ML Professionals ready to solve real-world problems and shape the future of intelligent systems.

Location: Remote (Europe - CET)
Experience: 5+ Years

Project Duration: ~ 2 months (B2B contract)
Availability: Immediate Joiner

Role Overview

We are seeking a visionary and highly skilled Senior Data Scientist to lead the development of a cutting-edge document intelligence and discovery platform. This unique role sits at the intersection of advanced Generative AI, Machine Learning, and Cheminformatics. Your primary mission will be to solve a highly complex unstructured data challenge: transforming scanned PDF documents containing intricate chemical structures into highly searchable, interpretable, and actionable knowledge bases.

Architect Document Intelligence Solutions: Design and implement advanced Machine Learning and Deep Learning models to parse, extract, and interpret text and complex chemical structures from unstructured, scanned PDF documents.
Develop LLM & Retrieval Systems: Build and optimize Large Language Model (LLM) applications, leveraging vector databases to enable semantic search, advanced data interpretation, and retrieval-augmented generation (RAG).
End-to-End ML Pipelines: Own the entire machine learning lifecycle, including data preprocessing (specifically for chemical data and OCR outputs), model training, evaluation, deployment, and post-deployment monitoring.
Bridge Chemistry & AI: Apply your chemistry domain knowledge to translate molecular structures, diagrams, and chemical data into machine-readable formats, embeddings, and actionable insights.
Cloud Architecture & Deployment: Deploy scalable, secure, and production-ready AI/ML pipelines within the AWS ecosystem, ensuring high availability and performance.
Cross-Functional Collaboration: Partner closely with software engineers, data engineers, and domain experts to integrate ML models into the core product architecture and align with business goals.

Requirements

Professional Experience: 5+ years of proven experience working as a Data Scientist, with a track record of delivering production-grade machine learning models.
Domain Expertise: A strong background in Chemistry, Cheminformatics, or a highly related scientific field, with a demonstrated ability to interpret and manipulate complex chemical structures and data types.
Core Technical Stack: Advanced proficiency in Python and deep hands-on experience with the AWS cloud stack (e.g., SageMaker, Lambda, S3, EC2).
Generative AI & Search: Practical, hands-on experience working with LLMs (fine-tuning, prompt engineering, or API integration) and vector databases (e.g., Pinecone, Milvus, Weaviate, or Qdrant).
ML/DL Mastery: Robust experience in model development, validation, deployment, and evaluation framework tools (e.g., PyTorch, TensorFlow, Scikit-Learn).
Document Processing (Plus): Prior experience with Computer Vision, Optical Character Recognition (OCR), or Document AI systems is highly desirable given the scanned PDF focus.
Soft Skills: Strong analytical problem-solving skills, excellent communication, and the ability to thrive in a highly collaborative, cross-disciplinary project environment.

Benefits

At Xenon7, we're not just building AI systems—we're building a community of talent with the mindset to lead, collaborate, and innovate together.

Ecosystem of Opportunity: You'll be part of a growing network where client engagements, thought leadership, research collaborations, and mentorship paths are interconnected. Whether you're building solutions or nurturing the next generation of talent, this is a place to scale your influence.
Collaborative Environment: Our culture thrives on openness, continuous learning, and engineering excellence. You'll work alongside seasoned practitioners who value smart execution and shared growth.
Flexible & Impact-Driven Work: Whether you're contributing from a client project, innovation sprint, or open-source initiative, we focus on outcomes—not hours. Autonomy, ownership, and curiosity are encouraged here.
Talent-Led Innovation: We believe communities are strongest when built around real practitioners. Our Innovation Community isn’t just a knowledge-sharing forum—it’s a launchpad for members to lead new projects, co-develop tools, and shape the direction of AI itself.

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