Intern - Trainee Engineer
- Useready
- 0 - 1 years
- Bengaluru
- 8 months ago
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Job Description
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.
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
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Machine Learning EngineerEmployement Type: InternshipContact Details:
Company: UsereadyLocation(s): Bengaluru+ View Contact
Keyskills: Computer science deep learning Data analysis Usage Intern data science Machine learning data visualization SQL Python
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