AI Engineering Intern (SLM)
Paramus, NJ, United States
USD 42K-50K Entry-level Internship Found 8d ago
Tasks
- Analyze data with Jupyter and pandas
- Build applications with LangChain or Lanngraph
- Code in VS Code with Python and Copilot
- Conduct load testing with Locust or JMeter
- Containerize applications with Docker
- Demonstrate familiarity with AI/ML workflows and tools
- Deploy models with Ollama or vLLM
- Deploy on-premise, cloud, or hybrid infrastructure
- Design requirements and workflows using Figma
- Develop RESTful APIs using FastAPI or Express.js
- Ensure quality with LangChain Evaluators
- Evaluate models with RAGAS and DeepEval
- Fine-tune models with Hugging Face Transformers and PEFT methods
- Implement CI/CD with GitHub Actions or GitLab CI
- Implement semantic search with ChromaDB
- Manage orchestration with Kubernetes or Docker Swarm
- Manage prompts with LangSmith or PromptLayer
- Monitor performance with LangSmith
- Optimize models with ONNX Runtime or OpenVINO
- Secure APIs with Apigee
- Select and download pre-trained models from Hugging Face
- Track code and experiments with Git, DVC, MLflow, Weights & Biases
- Work with small language models
- Write tests with pytest or unittest
Perks/Benefits
Skills/Tech-stack
API Security | Containerization | Data Analysis | Deep learning | Docker | Experiment tracking | Express.js | FastAPI | Fine Tuning | Git | JMeter | Kubernetes | Langchain | Lanngraph | Locust | MLflow | Machine Learning | Model Deployment | Model Evaluation | Model Fine-tuning | NLP | ONNX Runtime | OpenVINO | Prompt engineering | Pytest | Python | Version control | Weights & Biases
Education
Bachelor's | Master's | PhD
Roles
Language: en |
Views: 1 |
Clicks: 0
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