puestos de Nlp en Alemania
(Senior) Machine Learning Engineer – Video AI
NLP PEOPLE
Data Scientist or Machine Learning / AI expert (m/f/d)
NLP PEOPLE
PhD student focusing on Machine Learning in Particle Physics
NLP PEOPLE
Engineering Manager - Developer Experience (f/m/d)*
Parloa
Produktmanager KI-Voicebots (m / w / d) - dtms GmbH
dtms GmbH
Descubre más oportunidades que en ningún otro sitio. Accede a más vacantesSoftware Developer (w/m/d) React / ProseMirror / Remirror
semantics Kommunikationsmanagement GmbH
Entra en contacto con cazatalentos para acceder a vacantes similaresData & AI Senior Consultant / Project Manager Azure / Cloud (m / w / d) - Mnchen
INFOMOTION GmbH
Intelligent Document Processing Engineer (m/w/d)
GoHiring GmbH
(Senior) Machine Learning Engineer – Video AI
Descripción de la vacante
A leading medical technology firm based in Munich is seeking a Machine Learning Engineer to develop innovative solutions for analyzing surgical workflows through video and sensor data. The ideal candidate will have over 5 years of experience in machine learning and a solid software engineering background. This role offers the chance to impact surgical procedures positively through advanced AI applications.
Formación
- 5+ years of experience in machine learning and software engineering.
- Experience in working with medical data analysis and surgical videos.
- Strong programming skills and experience in all machine learning phases.
Responsabilidades
- Develop learning-based solutions for surgical video data analysis.
- Participate in the full machine learning development life cycle.
- Drive the productization of AI-based video applications.
Conocimientos
Herramientas
The big amount of data generated in today’s high-tech operating rooms offers a wide range of opportunities for surgical process improvements: Besides optimization of documentation tasks and support of clinical education, this data serves as basis for any intelligent task automatization and smart assistance tools that aim for improving surgical procedures in terms of safety, quality and cost. In this position, you will be part of the emerging topic of Surgical Workflow Analysis by combining video with other sensor data in the OR. Together with a team of experienced and enthusiastic software developers and machine learning engineers, you will create applications and services – running on the Snke platform – that extract data points to improve surgeries. You need to share our passion for new software technologies and our curiosity to step into the unknown.
We are looking for a Machine Learning Engineer with experience in state-of-the-art ML training platforms and a strong software engineering background.
In this position, you will:
- Work on learning-based solutions for a variety of tasks in medical data analysis with a particular focus on the processing of surgical videos (e.g. event detection, image segmentation, object detection and more)
- Participate in all phases of the machine learning development life cycle (from requirements engineering and data processing to experimentation, model development/training, and ultimately deployment of solutions)
- Push the limits of intelligent software components for surgical procedure analysis, making use of the ever increasing amounts of video data
- Shape the development and productization of AIbased video solutions for medical use-cases
- Contribute to our success with your creative ideas and your independent and self-responsible way of working, ultimately impact the daily work of medical professionals around the world
Company: Snke
Qualifications: Senior (5+ years of experience)
Tagged as: Data Analysis, Germany, Industry, Machine Learning, NLP
* El índice de referencia salarialse calcula en base a los salarios que ofrecen los líderes de mercado en los correspondientes sectores. Su función es guiar a los miembros Prémium a la hora de evaluar las distintas ofertas disponibles y de negociar el sueldo. El índice de referencia no es el salario indicado directamente por la empresa en particular, que podría ser muy superior o inferior.