Role : AI Engineer/Data Scientist
Location : Jersey City , NJ (Hybrid – 3 Days Onsite)
Employment Type : Contract W2
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
