Machine Learning - Remote

• Design and implement end-to-end LLM/NLP pipelines: data collection, preprocessing, fine-tuning/adapter training, evaluation, and deployment.
• Build and maintain Retrieval-Augmented Generation (RAG) systems: embeddings, vector store integration, FAISS-based search, and relevance tuning.

Overview

• Industry - IT - Consulting Services / Advisory Services
• Functional Area - IT Robotics & Automation / IoT / Machine Learning
• Job Role - Machine Learning Engineer
• Employment type - Full Time
• Work Mode - Remote

Qualifications

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

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