AI Intern

AI Intern - BlackBox

About BlackBox:

BlackBox is a company dedicated to leveraging the power of AI to drive innovation and efficiency across various business functions. We are seeking a passionate and driven AI Intern to join our team and contribute to the development of cutting-edge AI solutions.

Responsibilities:

• Collaborate with senior engineers to design, integrate, and deploy AI systems, focusing on Generative AI, LLMs/SLMs, and prompt engineering.
• Build and manage data pipelines for AI model training and consumption.
• Integrate large language models (e.g., GPT, BERT) and RAG approaches within Azure AI platforms.
• Develop secure and scalable APIs and backend systems to support deployed AI models.
• Assist in developing user interfaces that seamlessly connect end-users with AI solutions.
• Prepare detailed documentation to support the transition of AI solutions.
• Design and implement tests to ensure model accuracy, stability, and performance.
• Contribute to the automation of testing pipelines, data handling, and user-facing features.
• Assist in the deployment of AI models into production using Azure tools and frameworks.
• Monitor the performance and reliability of deployed models.

Qualifications:

• Proficiency in Python for AI and data-related development.
• Experience with Azure AI services and deployment frameworks.
• Understanding of ETL pipelines and data preprocessing techniques.
• Familiarity with backend frameworks (Flask or Django) and API development.
• Knowledge of testing frameworks and automated QA processes.
• Strong written and verbal communication skills.
• Ability to work independently and take initiative.
• Problem-solving mindset with enthusiasm for tackling technical challenges.

Preferred Skills:

• Exposure to Retrieval-Augmented Generation (RAG) methods.
• Knowledge of prompt engineering for improving generative model outputs.
• Experience with predictive modeling techniques (supervised and unsupervised learning).
• Familiarity with frontend frameworks (React, Angular, Vue, or Typescript) and UI/UX integration.
• Understanding of cloud computing concepts, especially in Azure.
• Awareness of Generative AI models and Natural Language Processing (NLP).

Qualifications

Required:

• Education: Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
• Technical Skills:
  • Proficiency in Python for data manipulation, analysis, and AI development.
  • Familiarity with Azure AI services and deployment frameworks.
  • Understanding of ETL pipelines and data preprocessing techniques.
  • Basic knowledge of backend frameworks (Flask or Django) and API development.
  • Experience with testing frameworks and automated QA processes.
• Soft Skills:
  • Strong written and verbal communication skills for documentation and collaboration.
  • Ability to work independently and take initiative.
  • Problem-solving mindset with enthusiasm for tackling technical challenges.
  • Flexibility to adapt to different aspects of AI solution development.

Preferred:

• Experience with Retrieval-Augmented Generation (RAG) methods.
• Knowledge of prompt engineering for improving generative model outputs.
• Familiarity with predictive modeling techniques (supervised and unsupervised learning).
• Exposure to frontend frameworks (React, Angular, Vue, or Typescript) and UI/UX integration.
• Understanding of cloud computing concepts, particularly in Azure.

Data and Model Development

• Design and implement data pipelines for efficient data extraction, transformation, and loading (ETL) to prepare datasets for AI model training.
• Integrate large language models (LLMs) like GPT and BERT, and explore retrieval-augmented generation (RAG) techniques to develop context-aware AI solutions.
• Contribute to the development and refinement of AI models, focusing on accuracy, efficiency, and scalability.

System Integration and Deployment

• Build secure and scalable APIs and backend systems to support deployed AI models and ensure seamless integration with existing infrastructure.
• Assist in developing user interfaces that provide intuitive and user-friendly access to AI-powered functionalities.
• Collaborate with engineering teams to ensure smooth deployment of AI models into production environments.

Testing and Monitoring

• Design and execute comprehensive tests to validate model accuracy, stability, and performance across various scenarios.
• Implement automated testing workflows for data handling, model training, and user-facing features.
• Establish monitoring systems to track the performance and reliability of deployed AI models in real-world applications.

Documentation and Collaboration

• Prepare detailed documentation for AI solutions, including technical specifications, deployment instructions, and user guides.
• Actively participate in cross-functional discussions and knowledge sharing sessions to align model development with business objectives.
• Contribute to the continuous improvement of AI development processes and best practices within the team.

BlackBox begins its search for an AI Intern by reviewing applications for alignment with the required and preferred skills. Candidates whose qualifications stand out are invited to complete a technical assessment, testing their Python proficiency, understanding of Azure AI, and problem-solving abilities. Top performers then participate in a virtual interview with the hiring manager and a senior AI engineer. This interview delves deeper into the candidate's technical expertise, project experience, and collaborative approach. Finally, selected candidates are invited for a final in-person interview at BlackBox headquarters, where they will meet the team and participate in a practical coding challenge.

BlackBox is a company at the forefront of AI innovation, specializing in developing cutting-edge solutions that leverage the power of Generative AI, LLMs, and SLMs. We are passionate about transforming businesses through intelligent automation and data-driven insights. Our team of experts combines deep technical expertise with a customer-centric approach to deliver scalable and impactful AI solutions. BlackBox is committed to fostering a collaborative and innovative environment where talented individuals can contribute to shaping the future of AI.