Enable job alerts via email!
Boost your interview chances
Join a leading global company in the mining sector as an AI Engineer focusing on Natural Language Processing and Machine Learning. You will develop, deploy, and integrate advanced AI models, contributing to the enhancement of data-driven insights and optimizing industrial operations through innovative Python applications.
Company Overview:
Step into a role where cutting-edge AI meets mining technology. Our client, a global leader in advanced analytics and solutions for the mining sector, is on the hunt for a dynamic AI Engineer specializing in Natural Language Processing (NLP) and Machine Learning (ML) with a strong Python focus. You’ll be pivotal in developing, deploying, and integrating advanced AI models – particularly large language models (LLMs) – to revolutionize data-driven insights within the company’s tech ecosystem. This is your chance to lead AI projects that directly impact large-scale industrial operations, combining the power of AI with robust Python solutions.
What You’ll Do:
NLP Model Development: Design and implement advanced NLP models for text analysis, sentiment analysis, and conversational AI within our product suite.
Scalability & Deployment: Deploy LLMs across platforms with a focus on seamless scalability, high performance, and optimal accessibility.
Data Analysis: Process vast data sets to enhance AI-driven features, boosting accuracy and efficiency.
Cross-Functional Collaboration: Work closely with hardware engineers, product managers, and Python developers to integrate AI solutions effectively within the tech stack.
? System Optimization: Fine-tune existing AI systems, ensuring peak performance and reliability across hardware-software interfaces.
Research & Development: Stay ahead of the curve in AI, NLP, and ML advancements, applying them to keep our tech capabilities cutting-edge.
Python Application Development: Develop robust Python applications to interface with Moxa IO devices and HikVision CCTV systems, enhancing integration and system efficiency.
Communication Protocols: Implement and manage data communication protocols, including SPI, I2C, UART, Ethernet, Modbus, and MQTT, ensuring data integrity across platforms.
What You Bring:
? Experience:
Desired Skills: