20 beste Stellen als high performance computing in berlin, be – aktuell auf Personalsuche

Machine Learning Engineer (f/m/d)
Nia Health GmbH —Berlin-Kreuzberg
- Vollzeit
- Informatik
- Master
- Bachelor
- Mitgliedschaft im Fitnessstudio
Direkt bewerben
Sr. Software Development Engineer, Aurora Open Source Engines
Amazon Web Services Development Center Germany GmbH —Berlin
- Vollzeit
- Informatik
- Java
- AWS
1 Tag
Senior Applied Scientist, AWS Developer Tools Science
Amazon Web Services Development Center Germany GmbH —Berlin
- Vollzeit
- Doktorat
- Java
- Master
- Flexible Arbeitszeiten
5 Tage
Senior Machine Learning Research Scientist (m/f/d) - Generative AI for Drug Design
Pfizer —Berlin
- Online-Bewerbung
- Informatik
- Forschungserfahrung
- AWS
Senior ML Engineer (f/m/x) - Computer Vision for Earth Observation
LiveEO GmbH —Berlin
- Überstunden
- Doktorat
- AWS
- Python
- Flexible Arbeitszeiten
Direkt bewerben
5 Tage
Senior/Staff Machine Learning Engineer
Vestiaire Collective —Berlin
- Hybrides Arbeiten
- Microsoft Excel
- Azure
- Datenbanken
Direkt bewerben
Senior Software Engineer - (Go) Real-Time Engine
Synthflow AI —Berlin
- Vollzeit
- Homeoffice
- DevOps
- AWS
- Erfahrung mit Netzwerken
Kernel/Hypervisor Engineer, EC2 Core Compute
Amazon Web Services Development Center Germany GmbH —Berlin
- Vollzeit
- AWS
- Linux
- Softwareentwicklungszyklus
- Flexible Arbeitszeiten
Principal Engineer, Nitro System, EC2
Amazon Web Services Development Center Germany GmbH —Berlin
- Vollzeit
- Doktorat
- Informatik
- Master
8 Tage
Senior DevOps Engineer (m/f/d) Hybrid Infrastructure
MOTOR Ai —Berlin
- Informatik
- DevOps
- AWS
- Flexible Arbeitszeiten
Direkt bewerben
Linux Platform Integration - Ubuntu Systems Senior Engineer
Canonical —Berlin
- Informatik
- Reden in der Öffentlichkeit
- C++
Direkt bewerben
Principal Software Engineer
Amazon Web Services Development Center Germany GmbH —Berlin
- Vollzeit
- Informatik
- Master
- Datenbanken
Senior Kernel/Hypervisor Engineer, EC2 Core Compute
Amazon Web Services Development Center Germany GmbH —Berlin
- Vollzeit
- Informatik
- AWS
- Bachelor
- Flexible Arbeitszeiten
Senior Android Engineer
MLabs —Berlin
- 90.000 € – 110.000 € pro Jahr
- Vollzeit
- Homeoffice
Direkt bewerben
Bioinformatics staff scientist (all genders)
Translational Medicine and Pharmacology —Berlin
- Teilzeit
- Doktorat
- Python
- Flexible Arbeitszeiten
14 Tage
Senior Applied Scientist (all genders)
Zalando —Berlin
- Vollzeit
- Hybrides Arbeiten
- Microsoft Excel
- Master
- SQL
- Umzugskostenzuschuss
Senior Pricing Analyst, AWS Monetization
Amazon Web Services Development Center Germany GmbH —Berlin
- Vollzeit
- Microsoft Excel
- Vertrieb
- Master
- Flexible Arbeitszeiten
14 Tage
Venture Manager Compute (m/f/x)
ESMT Berlin —Berlin
- Vollzeit
- Doktorat
1 Tag
Germany Greenfield Account Executive, Worldwide Public Sector Greenfield Sales
AWS EMEA SARL (Germany Branch) —Berlin
- Vollzeit
- CRM-Software
- Vertrieb
- Salesforce
Lead Developer for Science User Support System (SUSS)
CTAO ERIC —Zeuthen
- 76.000 € – 82.000 € pro Jahr
- Vollzeit
- Hybrides Arbeiten
- Mit Reiseanteil
- Python
Direkt bewerben

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Machine Learning Engineer (f/m/d)

Nia Health GmbH -
Berlin-Kreuzberg

Direkt bewerben

Details zur Stelle

Vollzeit

Leistungen

Mitgliedschaft im Fitnessstudio

Qualifikationen

TensorFlow
CI/CD
Informatik
Webentwicklung
NumPy
Git
Master
Docker
Bachelor
Machine Learning
Computerlinguistik
Django
APIs
Flask
Python

Vollständige Stellenbeschreibung

Description

We are looking to hire an ambitious and highly analytical Machine Learning Engineer (f/m/d) based in Berlin. In this role, you will drive our AI initiatives by designing, deploying, and maintaining advanced computer vision models for medical image analysis.
This role is ideal for you if you combine a strong technical background in machine learning with hands-on software engineering experience, and are eager to create real impact in a fast-growing health tech startup - working closely with our cross-functional AI, product, and business teams.

Your mission

Design, train, and evaluate computer vision models for medical image analysis using PyTorch and PyTorch Lightning.
Monitor production models, optimize performance metrics, and proactively implement retraining strategies to address model drift.
Perform data preprocessing, augmentation, and quality control in close collaboration with data annotators and medical advisors.
Systematically maintain organized datasets, model versioning (FiftyOne, DVC), experiment tracking (MLflow), and automated testing.
Build and maintain scalable ML pipelines and APIs (FastAPI/Flask) utilizing CI/CD pipelines, containerization (Docker), and MLOps practices for automated workflows.
Collaborate closely with frontend and backend engineers to integrate AI models smoothly into product workflows.
Build and maintain ELT pipelines (Meltano), orchestrate workflows (Airflow), and create dashboards and visualizations (Metabase) for actionable model insights and business metrics.
Ensure high code quality through version control (Git), thorough code reviews, and comprehensive documentation of models, experiments, and best practices.
Work cross-functionally within the AI, product, and business teams, and present your findings effectively to both technical and non-technical stakeholders.

Your profile

You hold a Bachelor's or Master's degree in Computer Science, Machine Learning, Mathematics, or a related field.
You bring 2+ years of hands-on professional experience in machine learning and have a proven track record with modern ML frameworks (PyTorch, TensorFlow).
You ideally have practical experience in Computer Vision, NLP (Natural Language Processing), Time Series Analysis, or Reinforcement Learning.
You possess strong programming skills in Python and are highly familiar with scientific computing libraries (NumPy, Pandas, Scikit-learn).
You have solid experience with version control (Git), collaborative development, and Python packaging and dependency management (Poetry, uv).
You are experienced in Docker containerization, comfortable applying MLOps practices (MLflow, DVC), and skilled in data engineering tools (Meltano, Airflow, Metabase).
You bring web development skills (FastAPI, Flask, Django) for building robust ML APIs and have experience developing CI/CD pipelines for ML workflows.
You are fluent in English and possess excellent communication skills to thrive in a cross-functional environment.

Why us?

We invest in you. We offer a steep learning curve and the opportunity to grow through continuous feedback and a culture of lifelong learning. We partner with adesso to provide access to a selection of over 100 training courses.
At the same time, we give you the freedom to develop independently. Your energy and expertise will be directed toward improving the lives of people with chronic conditions. With us, you will work on something with real impact!
A monthly budget you can freely use through our benefits app – for gym memberships, wellness, or other activities.
Attractive office in a prime location overlooking the river Spree in the heart of Kreuzberg, Berlin.

About us

Nia Health GmbH, backed by institutional VCs, develops and markets AI-powered medical software to provide comprehensive digital support for people with chronic conditions. The health tech venture Nia Health was founded as a spin-off from Charité – Universitätsmedizin Berlin. Its first product, the award-winning medical atopic dermatitis app Nia, provides daily support to thousands of patients and their families and is the most widely used atopic dermatitis app in the German-speaking region. Nia Health collaborates with leading pharmaceutical companies, hospitals, and health insurance providers.

Direkt bewerben

Erweiterte Suche

high performance computing Jobs in berlin, be

Machine Learning Engineer (f/m/d)

Sr. Software Development Engineer, Aurora Open Source Engines

Senior Applied Scientist, AWS Developer Tools Science

Senior Machine Learning Research Scientist (m/f/d) - Generative AI for Drug Design

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

Senior/Staff Machine Learning Engineer

Senior Software Engineer - (Go) Real-Time Engine

Kernel/Hypervisor Engineer, EC2 Core Compute

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Senior DevOps Engineer (m/f/d) Hybrid Infrastructure

Linux Platform Integration - Ubuntu Systems Senior Engineer

Principal Software Engineer

Senior Kernel/Hypervisor Engineer, EC2 Core Compute

Senior Android Engineer

Bioinformatics staff scientist (all genders)

Senior Applied Scientist (all genders)

Senior Pricing Analyst, AWS Monetization

Venture Manager Compute (m/f/x)

Germany Greenfield Account Executive, Worldwide Public Sector Greenfield Sales

Lead Developer for Science User Support System (SUSS)

Ich möchte aktuelle Job-E-Mails für Stellen als high performance computing in berlin, be erhalten

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