Data Engineer

We are working with a pioneering technology firm specializing in cutting-edge AI and data solutions. This company is at the forefront of developing high-performance, GPU-accelerated applications that push the boundaries of what's possible in data processing and artificial intelligence.The Role Develop and integrate data pipelines using Python. Deploy GPU-accelerated inference services, particularly with NVIDIA NIM. Build robust data pipelines for processing large volumes of documents and files (OCR, document AI). Configure and size GPUs for optimal inference performance (memory, batch size, concurrency, MIG/MPS). Utilize containerization (Docker) and orchestration (Kubernetes) for GPU scheduling. Implement parallel/concurrent processing for high-throughput data pipelines.What You'll Need Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Strong proficiency in Python for pipeline and integration development. Hands-on experience with NVIDIA NIM is essential. Experience building data pipelines and processing large volumes of data. Solid understanding of GPU configurations for inference. Experience with Docker and Kubernetes, including GPU scheduling.What's On Offer Opportunity to work on advanced AI and data projects. Engage with cutting-edge NVIDIA technology. Be part of a dynamic and innovative team.Apply via Haystack today!