Globalbit in collaboration with a start-up company dealing in the field of neuroscience and pharmaceuticals which is growing a lot with established projects for the coming years is looking to expand the data science team. We are looking for a senior data Science specializing in algorithms in the field of computer vision and image processing. This is a role well suited to an ambitious professional, looking for the next step in their career. As a Senior Computer Vision Scientist, you will be responsible for:
* Complex, real-world problems with immediate impact on patients lives. You will solve computer vision challenges that can be applied to large scale microscopy imaging.
* You will develop robust object recognition and localization approaches on cloud services to accurately translate biological phenomena into computational readouts.
* You will conduct research, design and production level implementation of disruptive algorithms for semantic segmentation, object detection and classification of 3-dimensional neuron images using Machine Learning and deep learning methods.
* You will be involved in fast prototyping, feasibility studies, specification, and integration of computer vision algorithms into our product components.
* Generating reliable, correct training data with great attention to detail. Identifying and debugging issues in training deep learning models such as overfitting, leakage and label noise.
* You will advance the state-of-the-art in the field, including generating patents and publications in top journals and conferences.


Company:
Genetika+

We're looking for experienced, creative and highly independent NLP algorithm engineers to join our winning team.
This is a great opportunity to join an algorithm department early on and to have a major impact on the product and methods used.
You will be in charge of end to end algorithm development, from initial research, all the way to full deployment.
RESPONSIBILITIES:
Research, develop, and deploy advanced machine learning and deep learning models to production.
Take end-to-end ownership of the project lifecycle, from data collection and preprocessing to model training, evaluation, and deployment.
Utilize NLP methodologies to extract and provide insights from patient medical records.
Collaborate closely with cross-functional teams to understand business requirements and translate them into data-driven solutions.
Stay updated with the latest research and advancements in machine learning, deep learning, and NLP.
Communicate findings and recommendations effectively to both technical and non-technical stakeholders.