Data Scientist

About the role

DBiz is looking for a Data and Artificial Intelligence Scientist to join our team in designing and developing reusable, scalable, and cost-effective cloud-native data and AI products. You will also be actively involved in various consulting project deliveries, supporting clients with data and AI solutions tailored to their business needs. The role offers opportunities to participate in multiple projects with industry technology partners, developing data- and AI-driven products and services that have a significant positive impact. You will also be actively involved in various consulting project deliveries, supporting clients with data and AI solutions tailored to their business needs Primary Responsibilities Collaborate with product owners, engineering teams, and industry partners throughout the product development lifecycle, including concept, design, prototyping, acceptance testing, data curation, delivery, operationalisation, industry proliferation, and product end-of-life Conduct technical assessments on the maturity, viability, and suitability of AI research, technologies, and trends relevant to the industry Develop and deploy software components based on microservices architecture Participate in agile, secure software development processes and best practices, including documentation of user requirements and software code during the software development lifecycle Propose, implement, and validate algorithms, ensuring functional and non-functional requirements such as transparency, fairness, scalability, security, integration complexity, and operational costs are met Key Requirements Bachelor's degree in engineering, computer engineering, computer science, mathematics, statistics, or equivalent At least 1.5 years of working experience in a relevant field Strong technical knowledge in AI. Good understanding of the latest research and technologies in AI for production deployment Strong coding experience in programming languages such as Python and/or C++. Experience working with libraries for data manipulation, visualization, machine learning, and reporting Hands-on experience with one or more deep learning frameworks (e.g., TensorFlow, Torch) Experience with prompt engineering for models such as OpenAI and Clau Hands-on experience developing and deploying AI agents, Retrieval-Augmented Generation (RAG), and vector/graph databases Experience with algorithms for mesh manipulation, Boolean operations, and geometric transformation Proficiency in relevant 3D modeling or CAD software (e.g., Blender, Rivet) and/or programming libraries (e.g., OpenGL, CGAL, Three.js) Team player with the ability to work in a cross-functional team and excellent interpersonal skills Strong verbal and written communication skills, as well as strong presentation and engagement abilities

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