GenAI Trainee

Quantbot; India; On-site; INR 223,000 - 446,000; Full time

Job summary

Quantbot seeks a motivated ML/AI intern to collect, preprocess, and analyze data, and to build and optimize ML/DL models. You will explore Generative AI, LLMs, RAG, and prompt engineering to create AI-driven chatbots and content tools.

You will also develop computer vision features, perform EDA, and help integrate models with apps via APIs and microservices, while adhering to responsible AI practices and security standards.

Qualifications

• Strong fundamentals in Python, ML, and Data Structures.
• Knowledge of GenAI, LLMs, RAG, Prompt Engineering, and Computer Vision.
• Familiarity with TensorFlow, PyTorch, OpenCV, YOLO, or similar frameworks.
• Understanding of EDA, preprocessing, feature engineering, model evaluation, APIs, Cloud, and Git.

Responsibilities

• Collect, clean, preprocess, and analyze structured and unstructured data.
• Build, train, evaluate, and optimize ML/DL models.
• Work on Generative AI, LLMs, RAG, prompt engineering, and fine-tuning.
• Develop AI solutions such as chatbots, virtual assistants, and content-generation applications.
• Build Computer Vision solutions including object detection, classification, segmentation, tracking, and OCR.
• Perform EDA, data visualization, and support AI data pipelines.
• Integrate AI/ML models with web, mobile, and enterprise apps using APIs and microservices.
• Assist with model deployment, monitoring, testing, debugging, and optimization.
• Conduct PoCs and research emerging AI/ML technologies.
• Follow Responsible AI, security, privacy, and compliance standards.

Skills

Python

ML

Deep Learning

Data Structures

GenAI

LLMs

RAG

Prompt Engineering

Computer Vision

EDA

APIs

Cloud

Git

Tools

TensorFlow

PyTorch

OpenCV

YOLO

Job description

Batch: 2024/2025/2026.

Key Responsibilities:

• Collect, clean, preprocess, and analyze structured and unstructured data.
• Build, train, evaluate, and optimize ML/DL models.
• Work on Generative AI, LLMs, RAG, prompt engineering, and fine-tuning.
• Develop AI solutions such as chatbots, virtual assistants, and content-generation applications.
• Build Computer Vision solutions including object detection, classification, segmentation, tracking, and OCR.
• Perform EDA, data visualization, and support AI data pipelines.
• Integrate AI/ML models with web, mobile, and enterprise apps using APIs and microservices.
• Assist with model deployment, monitoring, testing, debugging, and optimization.
• Conduct PoCs and research emerging AI/ML technologies.
• Follow Responsible AI, security, privacy, and compliance standards.

Requirements:

• Strong fundamentals in Python, ML, Deep Learning, and Data Structures.
• Knowledge of GenAI, LLMs, RAG, Prompt Engineering, and Computer Vision.
• Familiarity with TensorFlow, PyTorch, OpenCV, YOLO, or similar frameworks.
• Understanding of EDA, preprocessing, feature engineering, model evaluation, APIs, Cloud, and Git.