(Senior) Machine Learning Engineer / Data Scientist(f/m/x)

at  elevait GmbH Co KG

elevait
The mission of 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 (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 document understanding (2D plans, maps, other business documents in pixel and vector format, as well a plain text)
• You research, implement and apply state-of-the-art machine learning approaches, especially related to classification tasks, information extraction, object detection
• You design and implement microservices
• Your scientific mindset helps to solve complex problems
• You collaborate and communicate 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
• Last but not least: You will be able to enjoy the usual cool stuff such as free drinks, coffee, team events, and so on

Currently, we cannot support relocation and VISA processes from abroad of the EU

• You analyze and manage data to prepare it for its usage in an ML context, especially for the field of document understanding (2D plans, maps, other business documents in pixel and vector format, as well a plain text)
• You research, implement and apply state-of-the-art machine learning approaches, especially related to classification tasks, information extraction, object detection
• You design and implement microservices
• Your scientific mindset helps to solve complex problems
• You collaborate and communicate with customers, understand their needs and ensure to establish appropriate quality measurements (benchmarking)
• You are contributing to research projects and presenting result