Our client is a global technology company. Due to expansion, they are building an IT team in their Budapest office. We are looking for a new colleague for the position of Data Scientist to join this team.
Responsibilities:
- Design, build, train, and experiment with state-of-the-art computer vision models (e.g., object detection, image segmentation, classification, facial recognition) from ideation through prototyping, ensuring models are robust and high-performing.
- Train models from scratch on large datasets with considerable noisy annotations.
- Process and analyze large-scale image or video datasets to uncover trends, patterns, and actionable insights.
- Present results in a clear and commercially impactful manner.
- Utilize advanced mathematical methods to solve complex visual recognition problems.
- Perform preprocessing of structured and unstructured data, such as cleaning and annotating image/video datasets, and preparing data for use in computer vision models and experiments.
- Leverage foundation models for semi-automated annotation processes and hypothesis testing.
- Contribute to research and development activities focused on computer vision. Explore innovative algorithms, develop prototypes, and run proof-of-concept experiments to test new approaches.
Qualifications and Skills:
- Masters or PhD in Computer Science, Data Science, Artificial Intelligence, or a related field with a focus on computer vision and machine learning.
- 3+ years of hands-on experience in designing, developing, and deploying computer vision models, such as object detection, image segmentation, classification, and facial recognition.
- Proven track record of training models from scratch and solving novel, complex vision problems.
- Experience working with large-scale image and video datasets in real-world projects.
- Strong proficiency with Python, deep learning frameworks such as TensorFlow, PyTorch, and libraries such as OpenCV and Dlib for image processing and feature extraction.
- Strong understanding of mathematical foundations related to computer vision tasks, such as linear algebra, optimization, probability, and statistics.
- Experience in conducting research and developing prototypes to test innovative approaches, with a track record of exploring and experimenting with cutting-edge computer vision algorithms. Nice to have academic publications in the field of computer vision in recognized journals and conferences.
- Ability to document research results and methodologies clearly for future reference and knowledge sharing.
- Experience working in multidisciplinary teams, collaborating with other data scientists, engineers, and researchers to develop and implement computer vision solutions.
Bonus Skills:
- Experience with the AWS cloud platform.
- Version control for machine learning models, like MLflow or DVC (Data Version Control).
What they offer:
- Bonus An annual performance-based bonus
- SZÉP Card
- Medicover health insurance
- Home office (opportunity to work mostly remote)