data scientist in computer vision

Grid Dynamics is a technology consulting, platform and product engineering, AI, and advanced analytics services provider. It helps enterprise companies solve complex technical challenges and achieve business outcomes during business transformation, with expertise in enterprise AI, data, analytics, cloud and DevOps, application modernization, and customer experience.

• Design and implement vision models and advanced deep learning architectures for image classification, object detection, and segmentation;
• Develop and optimize data pipelines for large-scale image datasets;
• Create and maintain ETL processes integrating diverse image data sources into AI systems;
• Implement data quality checks and validation procedures for image datasets;
• Collaborate with cross-functional teams to deploy AI models in production environments;
• Conduct exploratory data analysis on image datasets to improve model performance.

• Master's or Ph.D. in Computer Science, Data Science, or a related field;
• 3+ Years of experience developing and deploying machine learning models for computer vision applications;
• Strong proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow;
• Experience with data engineering tools and practices, including data pipelines and ETL processes;
• Familiarity with distributed computing frameworks such as Apache Spark;
• Proficiency in SQL and experience with relational and NoSQL databases;
• Knowledge of cloud platforms such as AWS or Google Cloud for model training and deployment;
• Excellent problem-solving skills and ability to optimize model performance.

• Opportunity to work on bleeding-edge projects;
• Work with a highly motivated and dedicated team;
• Flexible working hours;
• Medical insurance and sports benefits;
• Corporate social events;
• Professional development opportunities and international certifications;
• Well-equipped office located downtown.