Junior AI Engineer

• Programming: Python (pandas, NumPy, scikit-learn, PyTorch/TensorFlow).
• ML Basics: Regression, classification, clustering, time-series.
• GenAI/LLMs: Prompt engineering, LangChain basics, RAG concepts.
• Databases: SQL (basic), exposure to NoSQL/vector DBs (Pinecone, FAISS).
• MLOps Exposure: Docker, Git, basic CI/CD knowledge.

Overview

• Industry - IT - INFORMATION TECHNOLOGY , Machine Learning / ML / Artificial Intelligence / AI
• Functional Area - Data Analytics & Business Intelligence / Statistics, IT Robotics & Automation / IoT / Machine Learning
• Job Role - Intern, Machine Learning Engineer
• Employment type - Full Time - Internship
• Work Mode - In Office

Qualifications

• Any Graduate - Any Specialization
• Any Post Graduate - Any Specialization
• Any Doctorate - Any Specialization

Job Related Keywords