### Job Title Data Scientist Intern ### Job Description **Job Responsibilities:** • Collaborates extensively on AI DevOps activities, leveraging multiple tool sets at the solution level to streamline development, testing, inference, deployment, and monitoring processes with moderate complexity. • Participates in discussions related to technical requirements, designs, and quality standards, providing inputs to ensure the robustness, scalability, and maintainability of AI solutions, working under direct supervision. • Integrates deployable versions of machine learning models developed by data scientists into end products, ensuring compatibility, performance, and reliability of all system components. • Handles data processing activities, including data cleansing, validation, and verification, to ensure the integrity and quality of data used for analysis and model training, with a focus on continuous improvement. • Trains and retrains AI systems as necessary to adapt to changing data distributions, business requirements, and performance objectives, optimizing model performance through iterative refinement. • Performs statistical analysis and fine-tuning of AI models using test results, hypothesis testing, and validation techniques to validate model assumptions, identify areas for improvement, and optimize model parameters. • Contributes to activities within the on-site engineer team, providing the whole deployment plan and pipelines. • Participates in the AI development process, working in pairing mode with equal team members, and actively contributing to requirements gathering, design discussions, code reviews, and quality assurance activities. • Interacts with business, market, and IT stakeholders to formulate clear and actionable requirements for AI solutions, ensuring alignment with business goals, user needs, and technical capabilities. • Ensures the quality of data and AI solutions developed, conducting thorough testing, validation, and verification activities to identify and address defects, errors, and performance issues before deployment. **Minimum required Education:** Master or PHD candidate in Biomedical Engineer, Computer Science, Information Management, Data Science, Artificial Intelligence, Applied Mathematics, Statistics or equivalent. **Minimum required Experience:** Experience with Data processing, Data Analytics, AI Modeling or equivalent. **Preferred Experience:** Experience in using programming languages such as Python, R, JAVA, C/C++ Preferred Certification: Artificial Intelligence Board of America (ARTiBA) certified **Preferred Skills:** • Troubleshooting • Data Analytics • Statistical Methods • Data Harmonization & Processing • Artificial Intelligence (AI) • Scripting & Automation • AI Algorithm Development • DevOps • Data Governance • LLM deployment