Job Title : AI Engineer / Data Scientist
Location : Hopewell, NJ or Atlanta, GA(3 days onsite)
Job Type : Contract W2
They must have heavy Container experience
Currently looking for an AI Engineer / Data Scientist to assist with building a next Gen AI Model Development and Deployment Platforms.
This candidate will design, engineer, build and deliver AI Infrastructure and Platform solutions for Model Development and Model Deployment.
This is an architecture / engineering role.
Primary Skills / Required Skills :
Continuous Automation
Coding and Application Development
Excellent documentation and articulation skills
Architecture and Strategy
Analytical Thinking
Constraint-driven Decision Maki
Docker Containerization and Orchestration strong understanding of pods, services and deployments
Collaborate with AI / ML teams to understand their requirements and translate them into scalable Kubernetes-based infrastructure solutions.
Docker, Operators and Helm charts
Understanding of Kubernetes security best practices (e.g., RBAC, network, and pod security policies)
Ability to set up monitoring, logging, and alerting for Kubernetes clusters using Prometheus / Grafana
Optimize Kubernetes cluster performance, resource utilization.
Python, JSON
Linux Skills
Proficiency with Python and / or Shell Scripting
System Engineering Compute, Networking, Storage
Experience working with Prometheus and Grafana"
Skills :
Automation, Artificial intelligence, Test automation, Python, continuous automation, Kubernetes, Linux, containerization, application development, docker containers, docker, Prometheus, architecture, architectural design, design-build, shell script
Desired Skills :
Desired outcomes of AI Platforms required to support the Data Scientist community
AI Frameworks (e.g., PyTorch, TensorFlow)
Linux Resource Management Tools SLURM
Nvidia Software Stack CUDA, TensorRT, Triton Inference Server
Jupyter Notebook
Kubernetes Orchestration and Docker / Container
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