Black Box · 7 hours ago
AI Technology Intern
United States
Internship
Remote
Intern
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Responsibilities
Independently develop data pipelines, perform data extraction, transformation, and loading (ETL), and preprocess data for AI model consumption.
Integrate foundational models (e.g., GPT, BERT) and retrieval-augmented generation (RAG) techniques to enable dynamic and context-aware outputs, primarily using Azure AI offerings.
Implement backend services and API endpoints to support AI solutions, ensuring scalability and security for deployed models.
Develop or adapt frontend interfaces for user interaction with AI models, working with UI/UX designs to create intuitive and user-friendly experiences.
Contribute to detailed documentation of AI solutions to facilitate smooth handovers from other teams or vendors, ensuring clear and organized records of workflows and processes.
Participate in knowledge-sharing sessions with cross-functional teams, helping to bridge the gap between model development and deployment.
Design and execute testing protocols to ensure model accuracy, reliability, and robustness within deployed solutions.
Set up automated testing workflows and QA processes to verify data processing pipelines, model performance, and user-facing functionalities.
Proactively address errors and bugs throughout the development cycle, implementing necessary fixes and documenting issues to maintain quality standards.
Manage deployment workflows to ensure AI models and services are successfully moved to production environments, using Azure tools for seamless deployment.
Set up monitoring mechanisms to track the performance and health of AI models in production, ensuring timely updates or adjustments based on performance metrics and new data.
Document and manage the lifecycle of each AI solution, ensuring proper version control, retraining protocols, and deprecation processes as needed.
Stay current on foundational AI models, RAG techniques, and Azure AI capabilities to enhance the solutions you develop.
Proactively identify areas for improvement in workflows and processes, suggesting innovative ideas to enhance solution effectiveness and efficiency.
Take full ownership of assigned use cases, handling all aspects of development, testing, and deployment with minimal supervision.
Qualification
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Required
Proficiency in Python for data handling and AI-related scripting.
Experience with Azure AI services, Cognitive Services, and deployment tools.
Familiarity with data pipeline development, ETL processes, and data preprocessing techniques.
Experience with backend frameworks such as Flask or Django, along with API development knowledge.
Knowledge of testing frameworks and tools to ensure model robustness, as well as experience with automated testing for QA processes.
Ability to independently manage tasks and demonstrate initiative in solving problems and completing projects.
Strong written and verbal communication skills, especially for documenting processes and coordinating with team members.
Flexibility to learn and work across different aspects of AI solution development, from data engineering to backend and QA.
Eagerness to tackle complex challenges and find innovative solutions in a fast-paced environment.
Preferred
Familiarity with Retrieval-Augmented Generation techniques and their applications.
Knowledge of prompt engineering techniques to optimize generative AI models for specific tasks and enhance output relevance.
Experience in predictive modeling areas, typically associated with data scientists or ML engineers, such as traditional supervised and unsupervised learning, which can be beneficial in understanding model deployment and integration.
Experience with frontend frameworks (e.g., React, Angular, or Vue) and UI/UX best practices for integrating AI into user interfaces.
Understanding of cloud services for scalable AI deployment, preferably with Azure.
Basic familiarity with foundational generative AI models and Natural Language Processing (NLP).
Experience creating detailed documentation and understanding basic compliance in AI practices.
Company
Black Box
Black Box is a trusted IT solutions provider delivering cutting-edge technology solutions & products and world-class consulting services to businesses around the globe.
Founded in 1993
1,001-5,000 employees
Funding
Current Stage
Late StageTotal Funding
unknown2000-06-26Acquired· undefined
Leadership Team
Sanjeev Verma
President & CEO
Barry Thorpe
Partner Account Manager
Recent News
Columbus Business First
2023-10-27
Company data provided by crunchbase
