Senior Ai And Mlops Engineer - Security And Networking Research
Invidia
Multiple Locations
Ai/ml model deployment and monitoring
Scalable infrastructure for ai workloads
Container orchestration and microservices
You will collaborate closely with data scientists, software engineers, security architects and DevOps teams to ensure smooth deployment, modeling and optimization of AI models
Job Summary
You will collaborate closely with data scientists, software engineers, security architects and DevOps teams to ensure smooth deployment, modeling and optimization of AI models.
This role involves creative problem solving alongside engineering teams, and is pivotal for the continued success of AI networking security.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer.
Matching Summary
You will collaborate closely with data scientists, software engineers, security architects and DevOps teams to ensure smooth deployment, modeling and optimization of AI models.
Skills & Requirements
Must-have
AI/ML model deployment and monitoring
Scalable infrastructure for AI workloads
Container orchestration and microservices
CI/CD pipeline integration
Programming in Python, Java, or Scala
ML/AI frameworks like TensorFlow or PyTorch
Nice-to-have
Knowledge of network protocols and Linux internals
Security and networking background
Experience with generative models and agents
Strong communication and collaboration skills
Proactive and ownership-driven mindset
Key Requirements
BSc/MSc in CS/CE or related field or equivalent experience
At least 5 years experience deploying AI/ML models at scale
Experience with distributed and multi-node environments
Knowledge of build infrastructure and CI/CD tools
Understanding of inference optimization techniques