Join Anicalls as an AI Inference Optimization Engineer and help build high-performance AI solutions. This role is perfect for those looking to grow their skills in AI and MLOps while working in a collaborative environment.
Innovative and team-oriented
As an AI Inference Optimization Engineer at Anicalls, you will play a crucial role in designing and building high-performance AI inference pipelines. Your work will directly impact the scalability and efficiency of enterprise AI applications, making it essential to collaborate closely with business, data, and engineering teams. This position is ideal for someone who is eager to dive into the world of AI and MLOps while contributing to meaningful projects.
In your day-to-day responsibilities, you will:
To succeed in this role, you should have a solid understanding of scalable AI serving architectures and at least 1-2 years of hands-on experience in AI inference, model serving, or MLOps. This position is well-suited for junior engineers who are passionate about AI and looking to enhance their skills in a supportive environment. If you are ready to take on challenges and contribute to innovative AI solutions, we encourage you to apply.
You'll be taken to the original listing on PNet to apply.