Senior Software Engineer, ML Inference at Cognitiv
Interview Preparation Plan
As a Senior Software Engineer focused on ML Inference at Cognitiv, you will play a crucial role in optimizing and deploying machine learning models for production environments. This position involves working on the cutting edge of deep learning, focusing on efficiency, scalability, and performance of ML models. You will be responsible for the entire lifecycle of ML inference, from model optimization and conversion to deployment and monitoring. This includes collaborating with ML researchers and data scientists to understand model requirements and translating them into robust, production-ready solutions. The role demands a strong understanding of software engineering principles, ML workflows, and the ability to work with complex distributed systems. This role is integral to Cognitiv's mission of bringing intelligence to advertising through advanced AI. You will contribute to building and enhancing the Deep Learning Advertising Platform (DLAP), ensuring that ML models deliver real-time optimization and exceptional results for clients. Your work will directly impact the effectiveness of advertising campaigns by enabling faster, more efficient, and more accurate ML inferences.
Key Responsibilities
- Optimize and deploy machine learning models for low-latency, high-throughput inference.
- Develop and maintain robust, scalable ML inference pipelines and infrastructure.
- Collaborate with ML researchers and data scientists to integrate new models and improve existing ones.
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