Minimum Qualifications:
- 10+ years of technology consulting experience (preferably in systems, software, data, analytics and AI).
- Good understanding of programming/scripting languages
- Ability to provide detailed and consumable documentation and standard methodologies for deployment around application acceleration, automation/management efficiencies, enterprise, and AI/ML solutions.
- Be able to develop and showcase real world examples of how AI technology can help businesses thrive and solve problems.
- Excellent presentation skills – ability to value-sell and deliver engaging workshops to both technical and non-technical audiences on AI and/or infrastructure topics.
Preferred Qualifications:
- Bachelor's Degree in Computer Science, Computer Engineering, Electrical Engineering, or related field. Advanced degree in Data Science is a plus.
- Experience with AI relevant infrastructure, including Networking (InfiniBand and RoCE), Storage (FC, IP and scale out) and AI accelerators (GPUs etc).
- In-depth understanding of AI models, including but not limited to GPT, Llama, Resnet or similar.
- Experienced with data storage and management (SQL, NOSQL, Vector, BigQuery etc) and AI/ML frameworks (scikit-learn, TensorFlow, PyTorch, Jupyter, NIMS and NVAIE etc).
- Expertise in training and fine-tuning AI models on premise or in cloud environments.
- Familiarity with containerization (k8 etc).