(Senior) Machine Learning Engineer / Data Scientist

Recruvise - Sevenig (Our) - 28-07-2023 zur Vakanz  

elevait GmbH & Co. KG
(elevait) is to empower enterprises to unlock the potential of
Artificial Intelligence
(AI) for their business. Our unique approach is providing AI technology in an easy-to-integrate and easy-to-use software product - and that leads to swift business values for our customers. To achieve this, we bring together state-of-the-art machine learning approaches, powerful semantic web concepts, as well as modern web and DevOps technologies in our user-friendly products.

One part of our core business is the research and development of machine learning and computer vision approaches with all the key principles that come along with that: data analysis, data labeling, model training and benchmarking as well as the deployment of the models in the form of microservices. To continue our endeavor and bring our ML-based development to the next level, we are currently looking for a

(Senior)
Machine Learning Engineer / Data Scientist Construction Domain
(f / m / x)
(full-time) who is eager to support our machine learning team in Dresden.
Your Role
You analyze and manage data to prepare it for its usage in an ML context, especially for the field of the construction domain (2D plans/maps in pixel and vector format)

You research, implement and apply state-of-the-art machine learning approaches, especially related to classification tasks, text extraction, object detection

You design and implement microservices
Your scientific mindset helps to solve complex problems
You collaborate with customers, understand their needs and ensure to establish appropriate quality measurements (benchmarking)
You are contributing to research projects and presenting results
Your Skills
You have solid experience in python development, testing and continuous integration
You have worked with common ML frameworks (pytorch, tensorflow, …) and computer vision (OpenCV)
You are familiar with common techniques of the ML lifecycle (data preparation, training, benchmarking, deployment, etc.)
You are familiar with code version control and data management & versioning techniques (git, dvc, …)
You have practical experience in working with real-life data and in working on product development or larger projects
You have good communication skills and experience of working in a team and applying agile methodologies
Our Culture
You will be part of a young, dynamic, highly motivated, and skilled team
You will work with people who love their work and also enjoy coming to the office every day
You will have the chance to work with and around state-of-the-art technologies to build cutting-edge products
You will be part of a modern agile development environment. Everyone has a voice!
This also means: a flat hierarchy, a casual and friendly atmosphere, and lots of fun
You will have flexible working hours and can freely decide to work from the office or remotely
You will get the chance to work with a truly diverse and international team
mehr...

zur Vakanz

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