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!