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About the company
Black Box Corporation is an IT company headquartered in Texas, United States. The company provides technology assistance and consulting services to businesses in a variety of sectors including retail, transportation, government, education, and public safety. Black Box operates in 75 locations across 35 countries.
For more info: 🔗 Visit Official Black Box Website
Do check below for Exciting Internships, Fresher & Experienced Roles at Black Box
💼AI Engineer Intern— Bangalore ((NEW))
Black Box is hiring an AI Engineer Intern for the Bangalore location. Please read the complete information carefully and apply if you are eligible.
Eligibility Criteria :
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Qualification: Bachelors degree in Computer Science or related fields. -
Experience: Students/Freshers -
Skills: Python for data handling and AI-related scripting
Responsibilities:
End-to-End AI Solution Development
- Data Engineering: Independently develop data pipelines, perform data extraction, transformation, and loading (ETL), and preprocess data for AI model consumption.
- Model Integration: 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.
- Backend Development: Implement backend services and API endpoints to support AI solutions, ensuring scalability and security for deployed models.
- Frontend Integration: Develop or adapt frontend interfaces for user interaction with AI models, working with UI/UX designs to create intuitive and user-friendly experiences.
Handover & Knowledge Transfer
- Documentation for Handover: 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.
- Collaborative Knowledge Sharing: Participate in knowledge-sharing sessions with cross-functional teams, helping to bridge the gap between model development and deployment.
Quality Assurance and Testing
- Testing Protocols: Design and execute testing protocols to ensure model accuracy, reliability, and robustness within deployed solutions.
- Automated Testing: Set up automated testing workflows and QA processes to verify data processing pipelines, model performance, and user-facing functionalities.
- Error Handling & Debugging: Proactively address errors and bugs throughout the development cycle, implementing necessary fixes and documenting issues to maintain quality standards.
Required Skills:
- Programming: Proficiency in Python for data handling and AI-related scripting.
- Azure: Experience with Azure AI services, Cognitive Services, and deployment tools.
- Data Engineering: Familiarity with data pipeline development, ETL processes, and data preprocessing techniques.
- Backend Development: Experience with backend frameworks such as Flask or Django, along with API development knowledge.
- Testing and QA: Knowledge of testing frameworks and tools to ensure model robustness, as well as experience with automated testing for QA processes.
- Self-Starter: Ability to independently manage tasks and demonstrate initiative in solving problems and completing projects.
- Communication: Strong written and verbal communication skills, especially for documenting processes and coordinating with team members.
- Adaptability: Flexibility to learn and work across different aspects of AI solution development, from data engineering to backend and QA.
- Problem-Solving Mindset: Eagerness to tackle complex challenges and find innovative solutions in a fast-paced environment.
Preferred Skills:
- Experience with RAG: Familiarity with Retrieval-Augmented Generation techniques and their applications.
- Prompt Engineering: Knowledge of prompt engineering techniques to optimize generative AI models for specific tasks and enhance output relevance.
- Predictive Modeling: 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.
- Frontend Development: Experience with frontend frameworks (e.g., Typescript, React, Angular, or Vue) and UI/UX best practices for integrating AI into user interfaces.
- Cloud Knowledge: Understanding of cloud services for scalable AI deployment, preferably with Azure.
- Advanced AI Concepts: Basic familiarity with foundational generative AI models and Natural Language Processing (NLP).
- Documentation & Compliance: Experience creating detailed documentation and understanding basic compliance in AI practices.
Stipend: ₹ 3 LPA to 4 LPA (Glassdoor)
⚠️ Note: If the link is expired, the opportunity is closed or disabled by the company. Check for other opportunities.
