Job Title: AI Engineer/Data Scientist

Location: Must sit onsite 3 days a week in Hopewell, NJ or Atlanta, GA.

Job Type: Contract W2

They must have heavy Containers 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