Urgently looking for AI/ML Engineer with CUDA & GPU Expertise

[Suman Bakshi]

Hi Vendors,

Please submit match candidates on below requirement .

AI/ML Engineer

Primary Responsibilities

• Deploy and optimize AI models on both Systalyze and Baseten platforms
• Implement and benchmark RAG (Retrieval-Augmented Generation) pipelines
• Conduct comprehensive performance testing and optimization
• GPU utilization analysis and CUDA optimization
• Cost analysis and resource efficiency evaluation
• Model inference latency and throughput benchmarking

Required Technical Skills

Core AI/ML Expertise:

• Programming Languages: Python (advanced), C++ (intermediate for CUDA optimization)
• ML Frameworks: PyTorch, TensorFlow, Hugging Face Transformers, LangChain
• Model Types: LLMs (GPT, BERT, T5), Computer Vision models, Embedding models

CUDA & GPU Expertise:

• CUDA Programming: CUDA C/C++
• GPU Optimization: Memory management, kernel optimization, multi-GPU scaling
• Performance Profiling: NVIDIA Nsight, nvprof, CUDA profiler
• GPU Architectures: Understanding of Ampere, Hopper, Ada Lovelace architectures
• Tensor Operations: TensorRT optimization, ONNX runtime
• Memory Management: GPU memory optimization, batch processing strategies

Platform & Infrastructure:

• Containerization: Docker, NVIDIA Container Toolkit, GPU-enabled containers
• Orchestration: Kubernetes with GPU scheduling, NVIDIA GPU Operator
• Cloud Platforms: AWS (EC2 P/G instances), Azure (NC/ND series), GCP (A2/N1 instances)

Model Serving: TorchServe, TensorFlow Serving, Triton Inference Server

Suman G. Bakshi | Recruitment Head

Global IT Con LLC. WILMINGTON, DE 19801

Email:  sum...@globalitcon.com

https://www.linkedin.com/in/sumanbakshi/