AI Operations Specialist
Summary:
Responsible for deploying, maintaining, and optimizing AI/ML models and systems. Combines data science and operational expertise to ensure high performance, reliability, and scalability of AI applications. Strong knowledge of Dell and Nvidia hardware/software is essential.
Key Responsibilities:
- Model Deployment:
- Deploy, monitor, and update AI/ML models in production environments.
- System Monitoring & Troubleshooting:
- Ensure system health using monitoring tools; resolve issues promptly.
- Performance Optimization:
- Tune model performance, reduce latency, and enhance efficiency.
- Data Management:
- Maintain clean data pipelines; ensure compliance with privacy standards.
- Documentation & Reporting:
- Track deployments, issues, and performance metrics; create reports.
- Collaboration:
- Work with data scientists, engineers, and business teams to meet AI goals.
- Hardware/Software Expertise:
- Use Dell servers/storage and Nvidia GPUs (CUDA, TensorRT) for system optimization.
Qualifications:
- Bachelor’s in CS, Data Science, or related field
- Experience in AI/ML model ops and production deployments
- Skilled in Python, TensorFlow, PyTorch, Docker, Kubernetes
- Familiar with Prometheus, Grafana, and cloud platforms (AWS, Azure, GCP)
- Strong understanding of Dell infrastructure and Nvidia GPU tools
Preferred:
- Master’s degree or relevant certifications (e.g., AWS ML Specialty)
- Experience with MLOps tools (MLflow, Kubeflow) and big data (Hadoop, Spark)
Key Skills
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- Posted
- May 14, 2025
- Type
- Contract
- Level
- Associate
- Location
- Sydney
- Company
- Nityo Infotech
Industries
Categories
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3 roles aligned with this opportunity
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