AI Engineer Intern- Discover Dollar

The iScale; Bengaluru; On-site; INR 900,000 - 1,400,000; Full time

Job summary

The iScale in Bengaluru is seeking a hands-on AI engineer to design and deploy AI-driven solutions, focusing on GenAI and Python-based development. You will work with cutting-edge GenAI models for text generation and summarization, applying data science techniques to preprocess data, build features, and evaluate models.

Ideal candidates bring strong Python skills, solid OOP knowledge, and practical exposure to GenAI, prompt engineering, and tool calling.

Qualifications

• Proficiency in Python and strong OOP concepts.
• Experience with GenAI tasks such as text generation and summarization.
• Understanding of prompt engineering, tool calling, and few-shot prompting.
• Knowledge of Data Science basics: data handling, feature engineering, model evaluation.

Responsibilities

• Assist in designing, developing, and deploying AI-driven solutions.
• Work with Generative AI models for tasks like text generation, summarization, etc.
• Apply Data Science techniques for preprocessing, exploratory analysis, and model evaluation.
• Collaborate with the team to write clean, maintainable, and scalable Python code.
• Research and experiment with the latest AI and GenAI advancements.

Skills

Python programming

OOP concepts

Generative AI models

prompt engineering

tool calling

shot-based prompting

Data Science basics

NumPy

Pandas

Scikit-learn

communication

collaboration

Tools

NumPy

Pandas

Scikit-learn

Job description

• Assist in designing, developing, and deploying AI-driven solutions.
• Work with Generative AI models for tasks like text generation, summarization etc
• Apply Data Science techniques for data preprocessing, exploratory analysis, and model evaluation.
• Collaborate with the team to write clean, maintainable, and scalable Python code.
• Research and experiment with the latest AI and GenAI advancements.

Must-Have Skills:

• Strong knowledge of Python programming.
• Good understanding of Object-Oriented Programming (OOPs) concepts.
• Exposure to Generative AI (GenAI) models (e.g., GPT, LLaMA, or similar).
• Understanding of prompt engineering, tool calling, and shot-based prompting (zero-shot, one-shot, few-shot).
• Basic understanding of Data Science principles (data handling, feature engineering, model building).
• Familiarity with libraries like NumPy, Pandas, Scikit-learn
• Problem-solving mindset with eagerness to learn and experiment.
• Good communication and collaboration skills.