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Intern - Trainee Engineer

Intern - Trainee Engineer

Useready

0 - 5 years

2 - 6 Lacs

Bengaluru

Posted:8 hours ago| Platform:

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Skills Required

Computer science deep learning Data analysis Usage data science Machine learning content generation data visualization SQL Python

Work Mode

Work from Office

Job Type

Full Time

Job Description

Location: Bangalore
Duration: 3 months

About the Role:

We are looking for a passionate and motivated AI/ML Intern to join our team. In this role, you will work closely with our Data Science and Engineering teams to develop, train, and deploy machine learning models that solve real-world problems. This is a hands-on opportunity to gain experience with cutting-edge technologies including Generative AI, Large Language Models (LLMs), AI Agents, and Retrieval-Augmented Generation (RAG) and contribute to impactful projects across domains.

Key Responsibilities:

Assist in collecting, cleaning, and preprocessing structured and unstructured data for ML models
Build and experiment with machine learning models for classification, regression, clustering, or NLP tasks
Perform exploratory data analysis and visualize insights
Support the deployment and evaluation of models in a production or simulated environment
Collaborate with cross-functional teams including data engineers and software developers
Document experiments, results, and workflows
Stay updated with the latest trends and research in AI/ML, including LLMs, Generative AI, AI Agents, and retrieval-based techniques
Explore the application of LLMs (e.g., GPT, Claude, LLaMA) in areas such as summarization, question answering, and content generation
Contribute to prototyping and evaluation of Retrieval-Augmented Generation (RAG) pipelines using tools like LangChain or LlamaIndex
Support prompt engineering, chaining, and evaluation of agent-based systems for specific business tasks.

Roles & Responsibilities

Preferred Skills & Qualifications:

Pursued a degree in Computer Science, Data Science, AI/ML, or related field
Strong foundation in Python and libraries such as NumPy, Pandas, Scikit-learn, TensorFlow or PyTorch
Basic understanding of GenAI API usage concepts (e.g., OpenAI, Anthropic, Hugging Face).
Familiarity with LLM frameworks such as LangChain or LlamaIndex is a plus.
Understanding of foundational ML concepts including supervised/unsupervised learning, embeddings, and transfer learning.
Familiarity with vector databases like FAISS, Pinecone, or ChromaDB is an advantage
Familiarity with SQL and data visualization tools (e.g., Matplotlib, Seaborn, Plotly)
Knowledge of NLP or deep learning is a plus
Excellent problem-solving and communication skills
Eagerness to learn, experiment, and work independently as well as in collaborative teams

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Intern - Trainee Engineer