Lead Data Science Engineer

Job Description: We are seeking an experienced Principal Applied Scientist to lead our team in developing cutting-edge AI-driven products and solutions. As a key member of our engineering team, you will be responsible for taking new technologies from early concept to product level, ensuring accurate and stable results.Responsibilities: Taking new technologies from early concept to product level while iterating and prototyping.Conducting in-depth data analyses, proposing relevant optimization models and algorithms, and carrying out proof of concept trials according to client needs.Improving accuracy of models/algorithms to solve problems encountered during implementation.Coordinating various teams to solve these problems in an efficient and cost-effective way.Proposing scenarios where AI techniques could improve the efficiency of client businesses.Providing pre-sales and post-sales technical support to the business development team.Inventing, analyzing, designing, developing and optimizing algorithms for our range of platforms and solutions.Analyzing complex datasets to make insightful and relevant decisions regarding real-world applications.Designing, developing and conducting in-depth research projects.Implementing models and algorithms to enhance and upgrade existing systems, processes, and products.Overseeing all data analysis and generating visualizations.Using modeling, simulation and optimization to design processes, algorithms, and prediction/classification systems.Assessing the feasibility of new approaches to business problems through experiments and research.Required Skills and Qualifications: Masters Degree in Computer Science, Computer Engineering or Machine Learning4+ years experience in AI and Machine Learning algorithm development Python experience of at least three years, with usage within the last two years Hands-on experience with AI frameworks (Tensor Flow, Py Torch, Keras)In-depth understanding of machine learning techniques, such as SVM, Decision Tree, Markov Chain, graph analysis etc.Benefits: Opportunity to work on cutting-edge AI-driven products and solutions Collaborative and dynamic working environment Ongoing training and professional development opportunities Keywords: Machine Learning),