AI Optimization Engineer | GPU HPC Onsite in Jersey City

Simple Solutions

Jersey City (NJ)

On-site

USD 150,000 - 190,000

Full time

14 days+

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Job summary

Zohorecruit seeks an AI Optimization Engineer to design and optimize AI/ML workloads on GPU-based HPC clusters in Jersey City, NJ. You will deploy large language models in scalable production environments and implement model optimization techniques.

The role requires hands-on ML/DL with Python, SLURM, Docker/Kubernetes, and modern AI tooling. Onsite work in Jersey City, collaboration with AI, infra, and DevOps teams.

Qualifications

  • Hands-on Python-based ML/DL experience with TensorFlow, PyTorch or Keras.
  • Experience with GPU HPC clusters and SLURM workload orchestration.
  • Familiarity with deploying LLMs and AI inference pipelines.
  • Proficiency with containerization and DevOps tools.

Responsibilities

  • Design and optimize AI/ML workloads on GPU-based HPC clusters.
  • Deploy and manage LLMs in scalable production environments.
  • Implement model optimization techniques (pruning, quantization, distillation).
  • Develop automated SLURM workflows with REST/Flask APIs.
  • Monitor performance with Prometheus and Grafana.
  • Optimize inference pipelines with Triton Inference Server/ TRTLLM.
  • Collaborate with infra/ML teams to improve scalability.

Skills

Python-based ML
Deep learning
NLP
Transformers
Generative AI
Model optimization

Tools

Docker
Kubernetes
MLFlow
Terraform
Jenkins
GitHub
HuggingFace
SLURM
Triton Inference Server
TRTLLM
Flask
Linux administration
Enroot
Pyxis
Podman
Plotly
Seaborn
Matplotlib

Job description

Zohorecruit seeks an AI Optimization Engineer to design and optimize AI/ML workloads on GPU-based HPC clusters in Jersey City, NJ. You will deploy large language models in scalable production environments and implement model optimization techniques.

The role requires hands-on ML/DL with Python, SLURM, Docker/Kubernetes, and modern AI tooling. Onsite work in Jersey City, collaboration with AI, infra, and DevOps teams.

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