6+ years of technical presales experience selling Compute, Storage, and Network solutions. Proficiency in Python (must), MySQL, Github, Git, GO, ETL, OLAP, RDBMS, Scribus, AWS, Azure, Google, IBM Cloud, or...
Description:Minimum Qualifications:
6+ years of technical presales experience selling Compute, Storage, and Network solutions.
Proficiency in Python (must), MySQL, Github, Git, GO, ETL, OLAP, RDBMS, Scribus, AWS, Azure, Google, IBM Cloud, or other platforms and programming languages.
Experienced with databases (Oracle, PostgreSQL, MySQL, MongoDB, Cassandra, Redis, Snowflake, BigQuery) and AI/ML frameworks (scikit-learn, TensorFlow, PyTorch, Hugging Face).
Ability to provide detailed and consumable documentation of standard methodologies for deployment around application acceleration, automation/management efficiencies, enterprise edge, and AI/ML solutions.
Preferred Qualifications
Bachelor's Degree in Computer Science, Computer Engineering, Electrical Engineering, or related field. Advanced degree is a plus.
Excellent presentation skills – ability to deliver engaging workshops to both technical and non-technical audiences on AI topics
AI experience with Nvidia, IBM, Microsoft, Dell, NetApp, HPE, and/or other AI vendors
In-depth understanding of language models, including but not limited to GPT-3, BERT, or similar architectures.
Expertise in training and fine-tuning LLMs using popular frameworks such as TensorFlow, PyTorch, or Hugging Face Transformers.
Experience in deploying LLM models in cloud environments (e.g., AWS, Azure, GCP) and on-premises infrastructure.
Familiarity with containerization technologies (e.g., Docker or equivalent experience) and orchestration tools (e.g., Kubernetes) for scalable and efficient model deployment.