As an AI Inference Optimization Engineer, you'll focus on creating efficient AI model-serving pipelines. This role is perfect for someone who enjoys working with data and engineering teams to enhance AI performance.
Anicalls is looking for an AI Inference Optimization Engineer to enhance their AI capabilities. In this role, you will design and build high-performance pipelines that serve AI models for enterprise applications. Your work will involve collaborating with various teams, including business, data, and engineering, to ensure that the AI solutions are secure, scalable, and efficient.
Your daily responsibilities will include: • Developing AI inference and model-serving pipelines that can handle large-scale applications. • Building a reliable infrastructure for AI services that meets enterprise needs. • Implementing monitoring and alerting systems to maintain the performance of AI services. • Ensuring that all AI processes adhere to security and governance standards.
This position is ideal for someone with at least 1-2 years of hands-on experience in AI inference, model serving, or MLOps. You should have a solid understanding of scalable AI architectures and be comfortable working in a collaborative environment. If you are passionate about optimizing AI performance and enjoy tackling complex challenges, this role could be a great fit for you.
You'll be taken to the original listing on PNet to apply.