Machine Learning Engineer

• Fine-tune state-of-the-art models, design evaluation frameworks, and bring AI features into production
• Run and manage open-source models efficiently, optimizing for cost and reliability
• Ensure high performance and stability across GPU, CPU, and memory resources
• Monitor and troubleshoot model inference to maintain low latency and high throughput
• Collaborate with product, engineering, operations, infrastructure and data teams to implement scalable, reliable model serving solutions
• Build and scale inference endpoints and monitoring to meet traffic demands and cost targets

MLOps Engineer

Machine Learning Engineer, LLM