Join a dynamic team as an AI Engineer where you'll tackle complex business problems with innovative solutions. Your expertise in MLOps and cloud deployment will be crucial in driving projects forward.
As an AI Engineer at Network IT, you will be at the forefront of developing intelligent solutions that address various business challenges. Your role will involve designing and deploying machine learning models, ensuring they are effective and scalable. You will work closely with other engineers and stakeholders to understand the requirements and translate them into technical solutions.
In your day-to-day work, you will implement MLOps practices to streamline the development and deployment of machine learning models. This includes setting up CI/CD pipelines, monitoring model performance, and ensuring proper version control. Your familiarity with cloud deployment will be essential as you work on deploying models in a cloud environment.
The ideal candidate for this role is someone with a strong background in machine learning and a passion for solving complex problems. You should be comfortable working in a collaborative environment and have experience with AI governance principles. If you are looking to make a significant impact in a forward-thinking company, this role could be a great fit for you.
Key responsibilities include: • Designing and developing machine learning models • Implementing MLOps practices for model deployment • Monitoring and maintaining model performance • Collaborating with cross-functional teams to gather requirements
To succeed in this role, you should have a solid understanding of MLOps, cloud technologies, and AI governance. Experience with tools like Git and CI/CD is a plus, but your ability to learn and adapt will be just as important.
You'll be taken to the original listing on PNet to apply.