Senior Software Engineer (m/w/d)
This role will design and develop technology in partnership with other software engineers in the US, UK, Germany, and Japan.
This role will design and develop technology in partnership with other software engineers in the US, UK, Germany, and Japan.
Collaborate with our core development team to bring machine learning into production - Design and train ML models on large-scale clinical da
We are looking for a Senior AI Engineer (Python) to join the Conversational AI (CAI) team in the Practice Efficiency domain.
sits within the ML Engineering Area and integrates tightly with the existing MLOps team rather than as a silo.
Why voize? Because we’re more than just a job!
Wir schreiben dir, sobald eine neue geprüfte Stelle dazukommt. Höchstens eine Nachricht am Tag, und nur, wenn es tatsächlich etwas Neues gibt.
Abmelden mit einem Klick, jederzeit. Keine Weitergabe an Dritte.
Mission Neko is redefining what prevention means, from treating illness when it arrives, to sustaining health before it s ever at risk.
Als AI Solutions Architect gestaltest du die strategische und technologische Weiterentwicklung Künstlicher Intelligenz in den IT-Services de
Als AI Engineer entwickelst und implementierst du innovative KI-Lösungen auf Basis moderner Large Language Models (LLMs) und begleitest dere
Entwickelt Python/Django-Features für eine Praxissoftware und integriert lokal laufende KI-Modelle für Dokumentenklassifikation und Extraktion.
Das verantwortest du: Das Python-Backend, das unsere medizinische Echtzeit-Dokumentation in Produktion antreibt Live-Transkription echter Ar
is mostly focused on shipping AI product features, with some AI systems and infrastructure work where needed.
is mostly focused on shipping AI product features, with some AI systems and infrastructure work where needed.
Bereitstellung und Überwachung der Datenpipelines, Fehlerbehebung und Bearbeitung von Datenanfragen aus den Fachbereichen Betrieb und kontin
Das waren alle 13 Jobs zu dieser Auswahl.
Warum dieser Job gelistet ist
KI ist Gegenstand der Rolle (Kernbegriffe in Titel/Anforderungen). Prüfverfahren ansehen
This role will design and develop technology in partnership with other software engineers in the US, UK, Germany, and Japan. Additionally, this role will collaborate day-to-day with oncologists, clinicians, product leaders, quantitative scientists, and customers to understand their challenges and how technology can help solve them. - Create new or enhance existing business critical, complex data pipelines using a variety of data processing tools and automation - Expand our capabilities in Deep Learning and LLM-powered extraction of clinical insights from global datasets - Devise creative solutions for technical and business challenges to help the team scale - Contribute to shaping the direction of team roadmaps and technology development - Help build our European engineering teams and company culture as we grow - Rapidly iterate on products while maintaining engineering practices that ensure quality and security - Bring or develop a deep knowledge of healthcare in Germany, including data sources, security, privacy, information governance requirements, and emerging trends Who You Are You re a kind, passionate and collaborative problem-solver who values the opportunity to think beyond the way things are. You re excited by the prospect of working on difficult and meaningful problems each day.
You seek and give candid feedback, and value the chance to make an important impact on cancer patients and society. - You’re a data engineer with 4-8 years of relevant professional experience - You are excited to work in a startup environment, think creatively and be scrappy to get the job done - You are excited about working in a passionate, fast-paced, technology-driven culture - You have a nose for value and empathy for your customers - You have experience with agile development environments using object-oriented programming languages (e.g. Python, C#, SQL), but are also language agnostic and willing to pick up new programming languages as needed - You have experience working with cloud platforms like AWS and data warehouse solutions like Snowflake - You have experience with data processing and orchestration tools such as Databricks, Spark, Ray, DBT, Prefect, and/or Airflow - You act as an expert in your domain area, and as a partner with product teams - You understand the purpose of “boring” technology (as described in this blog post) and are willing to use the right tools to get the job done - You can collaborate and easily explain technical terms to a non-technical, highly sophisticated audience; you have superior communication skills - You are comfortable with ambiguity and always willing to teach and learn - You are fluent in English Optional - You have experience working in healthcare in Germany or exposure to healthcare-related standards like HL7 - You hold a Bachelors, Masters, and/or Ph.D. in computer science or a related field - You have experience in infrastructure, devops, or security engineering - You are conversational in German
Our people are at the centre of everything we do. We strive to foster a culture where our teammates feel equipped and empowered to make meaningful contributions with confidence, compassion, and clarity.
We’re looking for a Senior Software Engineer to help us accomplish our mission to improve and extend lives by learning from the experience of every person with cancer. Are you ready to be the next changemaker in cancer care? Flatiron Health is a healthtech company using data for good to power smarter care for every person with cancer, around the world.
Flatiron partners with cancer centers in the US, Europe and Asia to transform patients’ real-life experiences into real-world evidence and create a more modern, connected oncology ecosystem. Our multidisciplinary teams include oncologists, data scientists, software engineers, epidemiologists, product experts and more. Flatiron Health is an independent affiliate of the Roche Group.
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Zur OriginalanzeigeVom Bildbefund bis zur Dienstplanung: Im Gesundheitswesen trifft KI auf besonders sensible Daten, und die Stellen verlangen entsprechend oft Erfahrung mit Datenschutz und Zulassung.