AI Engineering Intern at PwC focused on data science and machine learning model development. Supporting client-facing projects and gaining exposure to innovative AI solutions.
Responsibilities
Supporting teams in the development and implementation of AI and machine learning models
Assisting in the analysis and interpretation of complex data sets to derive actionable insights
Participating in the design and maintenance of data pipelines and data engineering processes
Engaging in data modeling and predictive modeling to enhance decision-making processes
Collaborating with team members to apply data science algorithms and methodologies
Utilizing programming languages such as C++, R, and MATLAB for data analysis and model development
Contributing to the development of natural language processing solutions and applications
Assisting in the integration of big data technologies to improve data processing capabilities
Learning and applying project management techniques to support project goals and timelines
Observing and participating in client support activities to gain exposure to industry practices
Requirements
Currently pursuing or have completed a Bachelor's degree
Preference for one of the following field(s) of study: Artificial Intelligence and Robotics, Business Analytics, Computer and Information Science, Computer Engineering, Computer Programming, Data Processing/Analytics/Science, Engineering, Mathematics, Statistics, Systems Engineering
Preference for a 3.3 overall GPA
Demonstrating proficiency in C++ and R programming languages
Applying knowledge of machine learning and data modeling techniques
Utilizing Scikit-Learn for machine learning projects
Engaging in complex data analysis and predictive modeling
Supporting data-driven decision-making processes
Participating in natural language processing initiatives
AI Engineer focused on developing agentic AI systems for professional slide creation at a growing startup. Responsibilities include building workflows and collaborating with product and engineering teams.
Lead AI Engineer designing and building multi - agent capabilities for enterprise applications at AI.IMPACT in Hamburg, Germany. Requires deep generative AI expertise and strong software engineering foundations.
Software Engineer developing AI/GenAI capabilities for unstructured data. Transforming data into actionable insights and autonomous AI systems for business decisions.
Build AI - driven services utilizing LLMs and modern web applications for the educational sector. Collaborate cross - functionally while maintaining clean engineering practices in a growing startup setting.
AI Developer managing the entire lifecycle of AI applications in Berlin. Responsibilities include development, deployment, and monitoring of AI solutions using modern technologies.
AI Engineer designing and deploying intelligent systems that transform global payment services at Sokin. Collaborating with teams on automation across the software development lifecycle in the fintech domain.
AI Developer at GenAIz specializing in machine learning models for the Life Sciences industry. Responsible for software development, model implementation, and collaboration with cross - functional teams.
AI Engineer integrating AI techniques into robotics at Robotec.ai. Involves collaboration across various teams and development of AI - driven features.
AI Engineer designing and developing tools using AI technologies for efficiency at Tailor Platform. Focusing on large - scale language models to enhance engineering productivity and support productivity tools.
Associate AI Engineer developing and deploying AI solutions to optimize global operations for Manulife. Collaborating with cross - functional teams to enhance operational efficiency.