DESCRIPTION Do you have Data Science and Machine Learning background and strong knowledge and experience in Geospatial Engineering? Are you an open-minded professional with good English skills? If it sounds like you, this could be the perfect opportunity to join EPAM as a Senior Geospatial Engineer. Our teams work in highly agile working environments for Fortune 1000 clients, following XP practices and best CI/CD practices. We are seeking highly skilled Data Scientists with expertise in building machine learning models for image analytics. The ideal candidates will have a strong background in data science, particularly in the development and deployment of models for analyzing and extracting insights from images. What You'll Do Collaborate with cross-functional teams to understand business requirements and objectives for image analytics projects Collect, preprocess, and clean image data to prepare it for analysis and modeling Develop and implement machine learning models and algorithms for image classification, object detection, segmentation, and other image analytics tasks Evaluate model performance and iterate on model designs to improve accuracy, efficiency, and scalability Deploy machine learning models into production environments and integrate them with existing systems or applications Conduct research and stay updated on advancements in image analytics, machine learning, and related fields Provide technical guidance and support to team members on image analytics projects Communicate findings, insights, and recommendations to stakeholders through reports, presentations, or visualizations What You Have Proven experience in building machine learning models for image analytics applications Proficiency in programming languages such as Python, R, or MATLAB for data analysis and modeling Strong understanding of machine learning algorithms, deep learning frameworks (e.G., TensorFlow, PyTorch), and image processing techniques Experience with data preprocessing, feature engineering, and dimensionality reduction techniques for image data Familiarity with computer vision libraries and tools (e.G., OpenCV, scikit-image) for image processing and analysis Ability to work both independently and collaboratively in a team environment Excellent problem-solving skills with a keen attention to detail Effective communication skills with the ability to present technical concepts to non-technical stakeholders Nice to have Hands-on experience with cloud computing platforms (e.G., AWS, Azure, Google Cloud Platform) for scalable image analytics Knowledge of distributed computing frameworks (e.G., Apache Spark) for processing large-scale image datasets Experience with transfer learning, fine-tuning pre-trained models, and model optimization techniques for image analytics tasks Demonstrated track record of successful projects or publications in the field of image analytics or computer vision #J-18808-Ljbffr
