Data Scientist Intern

Job Title

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