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:
* O salário de referência é obtido com base em objetivos de salário para líderes de mercado de cada segmento de setor. Serve como orientação para ajudar os utilizadores Premium na avaliação de ofertas de emprego e na negociação de salários. O salário de referência não é indicado diretamente pela empresa e pode ser significativamente superior ou inferior.