Data Engineer

Role & responsibilities

Position: Data Engineer

Experience: 5 Years to 7 Years

Location: Remote

Required Skills :

CUDA cuDNN NCCL TensorRT Python C++ Dask Apache Flink Pandas AWS GCP Azure NVIDIA AI TOOLS

Responsibilities:

•Support data processing and pipeline development for NVIDIA GPUs.

•Collaborate with system engineers to execute AI jobs efficiently on NVIDIA infrastructure.

•Compare performance outcomes between NVIDIA and Cerebras for Client-specific AI projects.

Technical Skills:

•NVIDIA GPU Ecosystem: Proficiency in NVIDIA software libraries such as CUDA, cuDNN, NCCL, and TensorRT.

•Machine Learning Pipelines: Experience with building and optimizing data pipelines for AI workloads on NVIDIA GPUs.

•Programming Languages: Expertise in Python, C++, or Go for developing and deploying GPU-accelerated data pipelines.

•Data Preprocessing: Familiarity with frameworks like Dask, Apache Flink, or Pandas for efficient data preparation on GPU clusters.

•Cloud Integration: Knowledge of deploying and scaling GPU workloads on cloud platforms (AWS, GCP, or Azure) leveraging NVIDIA GPUs.

Qualifications:

•Degree in Data Engineering, Computer Science, or comparable practical experience.

•Experience with data processing for AI models particularly on GPU infrastructure.

•Familiarity with NVIDIAs AI tools and frameworks.

If you are interested, please share your resume at kalpana.yadav@inoventiveit.com

Thank You

Kalpana Yadav

Inoventive IT Services Pvt Ltd