AI Electronics Internship By Valeo
AI Electronics Internship By Valeo
Valeo, a global technology company in the automotive sector, is offering an 11-month AI Internship for final-year students or recent graduates in Computer Science, AI/ML, Data Science, or equivalent fields. The internship focuses on developing AI-powered solutions, particularly in chatbot development and document generation using Google Cloud Platform (GCP) services. Interns will work on LLM-based workflows, prompt engineering, retrieval-augmented generation (RAG), and workflow automation, gaining exposure to real-world AI/ML projects in a research-driven, multi-cultural environment.
Documents Required
Applicants submit the following documents:
  • Resume/CV
  • Valid Email ID
  • Mobile No.
  • Study Mark Sheets
  • Certificates (If you have)
  • Cover letter (If applicable)
  • Eligibility Criteria
    Applicants must meet the following criteria:
  • Final-year students or recent graduates in Computer Science, AI/ML, Data Science, or related fields.
  • Strong curiosity, willingness to learn, and proactive attitude.
  • Basic programming knowledge in Python.
  • Understanding of generative AI and prompt engineering.
  • Exposure to LLMs like Gemini, Claude, or GPT-4 is preferred.
  • Practical experience or coursework in TensorFlow or PyTorch.
  • Ability to work with structured (tables, JSON) and unstructured (text, PDF) data.
    Nice to Have / Will Learn During Internship:
  • Experience with RAG using LangChain or LlamaIndex.
  • Exposure to Agentic AI frameworks (OpenAI agents, CrewAI, LangGraph).
  • Familiarity with Mermaid.js or diagrams.net JSON for flowcharts.
  • Familiarity with GCP services: Vertex AI, BigQuery, Cloud Storage.
  • Workflow automation experience with N8N, Zapier, or Cloud Workflows.
  • Basic front-end integration using Streamlit or React (optional).
    Note: This internship is exclusively available in India. Specifically, in Chennai.
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    Responsibilities
    Interns will:
  • Develop and fine-tune prompt chains for chatbots and content generation workflows using Vertex AI/Gemini APIs.
  • Assist in implementing RAG pipelines to ground LLM outputs on company data.
  • Support flowchart and structured table generation using AI.
  • Automate data and prompt workflows with low-code/no-code tools like N8N.
  • Work with both structured and unstructured data formats.
  • Contribute to evaluation and improvement of chatbot responses.
  • Document work, findings, and results for reproducibility and future scaling.
  • How To Apply
    Follow the below steps to apply for the program:
    1. Visit Our Official Website.
    2. Read carefully all the information about the program details.
    3. Click on the "Register" to complete the registration with required details.
    4. After successful registration, Use the received credentials to log into your account.
    5. Once logged in, Click on the "Apply" button.
    6. You will be directed to the application form. Fill in all the required details accurately.
    7. Prepare the necessary documents as specified in the application requirements.
    8. Upload these documents in the designated sections of the application form.
    9. Before submitting, review all the information you have provided.
    10. After that, Click on the "Submit” button to submit your application.
    Note: "As a free user,"
    →'You're encouraged to share this valuable information with your friends to access the link properly'.

    Stipend

    AI Electronics Internship By Valeo
    SCHOLARSHIP PROVIDER
    Valeo
    APPLICATION DEADLINE
    28 October
    EDUCATION LEVEL
    Engineering
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    Valeo, a global technology company in the automotive sector, is offering an 11-month AI Internship for final-year students or recent graduates in Computer Science, AI/ML, Data Science, or equivalent fields. The internship focuses on developing AI-powered solutions, particularly in chatbot development and document generation using Google Cloud Platform (GCP) services. Interns will work on LLM-based workflows, prompt engineering, retrieval-augmented generation (RAG), and workflow automation, gaining exposure to real-world AI/ML projects in a research-driven, multi-cultural environment.