Senior Data Scientist

Company Description

We are looking for a Senior Data Scientist to join our growing team and contribute to the development of cutting-edge computer vision products.

Our mission:

We deliver asymmetric advantages to our #adtech customers through vast domain expertise, simplicity, and #stellar level of service. We continue to challenge ourselves and grow as technologists, professionals, and, most importantly, as human beings who work side by side, day after day and year after year. And we don’t plan to stop anytime soon.

We put in the work, and we love it. Some days, we may fail, but only to try harder the next day. We work through our losses and celebrate our wins as one team. 
PROJECT
The platform specializes in media content analysis and delivers insights through advanced AI-driven content recognition technologies. The core objective is to continuously design, develop, and refine state-of-the-art computer vision models, such as object detection, image segmentation, classification, and facial recognition. These models are seamlessly integrated into the platform to enhance its capabilities. 

Job Description

• 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 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

• 4+ years of hands-on experience in designing, developing, and deploying computer vision models, such as object detection, image segmentation, classification, and facial recognition 
• Strong proficiency with Python, deep learning frameworks such as TensorFlow, PyTorch, and libraries such as OpenCV and Dlib for image processing and feature extraction 
• Experience with training models from scratch and solving novel, complex vision problems 
• Experience working with large-scale image and video datasets in real-world projects 
• 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 
• 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 
• Master’s or PhD in Computer Science, Data Science, Artificial Intelligence, or a related field with a focus on computer vision and machine learning 
• Upper-Intermediate level of English 

WOULD BE A PLUS: 

• Experience with the AWS cloud platform 
• Version control for machine learning models, like MLflow or DVC (Data Version Control)