Deep knowledge of working principles behind agents and experience in building Agents and/or Skills
LLM integration and advanced prompt engineering
Time-series forecasting or predictive modeling for automotive/fleet scenarios
Python ML stack (scikit-learn, pandas, potentially PyTorch/TensorFlow)
Understanding of RAG (Retrieval-Augmented Generation) patterns if contextual knowledge is needed
Experience with model evaluation and A/B testing

Implement and fine-tune the AI chatbot (likely LLM-based)
Context engineering
Design and build vehicle forecasting models and algorithms
Create effective prompt and orchestration strategies for AWS Bedrock tool/function calling (Agents, Action Groups, and model invocation)
Optimize model performance, accuracy, and response quality
Handle context management and conversation flow

Work location : Remote

Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 AI/ML Engineer (Mumbai)
🏢 Bahwan Cybertek
📍 Mumbai