Job Description
Build backend infrastructure to perform scalable training, evaluation, and inference in the cloud and client-side infrastructure to perform efficient inference in the cloud and on the edge devices. Build comprehensive data management systems for scalable data collection, labeling, processing, and evaluation. Work with product teams and engineers to make applications of machine learning ubiquitous to Dandy. Be a representative for how to apply machine learning and related techniques throughout the engineering and product organization. Work with product and research teams to identify opportunities for improvement in our current product line and for enabling upcoming product lines. Required skills: 8+ years of experience, 3+ in ML Infrastructure. Proven experience building scalable Machine Learning Infrastructure that made it into a meaningful production system. Experience in building Distributed Systems with Cloud Infrastructure (AWS/Azure/Google Cloud). Experience with MLOps/DevOps best practices for deployment and monitoring of ML models in production environments.
IntelligiChain specializes in the field of artificial intelligence, machine learning, and computer vision. The company focuses on training neural networks from scratch and fine-tuning them for specific use cases. This includes applications in low light environments and 3D segmentation. IntelligiChain works closely with different business functions, incorporating data from operations, sales, and account management teams to craft solutions. The company also has a presence in the IT sourcing sector, with research and development centers in Eastern Europe.
