As a Machine Learning Engineer, you'll be at the forefront of AI innovation, transforming business needs into actionable solutions. Your work will involve developing and deploying AI models that enhance decision-making and operational efficiency.
In this role, you'll identify and prioritize AI and machine learning use cases that can drive value across the business. Your main responsibility will be to design, develop, and deploy AI models and intelligent applications, primarily using Python and Azure AI Services. You'll also work with Large Language Models, focusing on solutions like Retrieval-Augmented Generation and prompt engineering.
Your day-to-day tasks will include managing the full lifecycle of AI solutions, from data exploration and model development to testing and deployment. You'll integrate AI services into existing business systems through APIs and custom connectors, ensuring that these solutions are secure and scalable. Additionally, you'll enhance Power BI reporting with AI-driven insights, which will help the business make informed decisions.
This role is ideal for someone with a strong background in AI and machine learning, particularly with experience in Azure technologies. You should be comfortable working in a fast-paced environment and have a passion for leveraging AI to solve real-world problems. Key requirements include proficiency in Python, experience with AI model development, and the ability to integrate AI solutions into existing systems effectively.
If you're looking to make a significant impact in a tech-focused company that values innovation and continuous improvement, this position could be a great fit for you.
You'll be taken to the original listing on PNet to apply.