Prompt Engineering

Needs:

AI
NLU
Prompt Engineering
Model experience(GPT, LLAMA, GEMINE, OR LLMS
Minimum Qualifications

Solid data skills, sound computer-science fundamentals, and strong programming experience.
Programming experience in Python
Experience with at least one relational database technology such as MySQL, PostgreSQL, Oracle, or MS SQL.
Deep hands-on technical expertise in development, preferably full-stack.
Good data-processing and testing fundamentals. Principled approach to system updates and prompt compliance evaluation.
Ability to take a project from scoping requirements through actual launch.
Deal well with ambiguous/undefined problems;
A continuous drive to explore, improve, enhance, automate, and optimize systems and tools.
Capacity to apply scientific analysis and mathematical modeling techniques to predict, measure and evaluate the consequences of
designs and the ongoing success of our platform. 
Excellent oral and written communication skills.
Bachelor's degree or certification in Computer Science, Engineering, Mathematics, or any other related field.
Preferred Qualifications

Proficient in multiple models and AI-related tools.
Exposure to cloud infrastructure, such as Open Stack, Azure, GCP, or AWS as well as infrastructure management tech (Docker, Kubernetes)
Relentless focus on scalability, latency, performance robustness, and cost trade-offs -- especially those present in highly
virtualized, elastic, cloud-based environments.
Hands-on expertise in many disparate technologies, typically ranging from front-end user interfaces through to back-end systems and all
points in between.
Familiarity with Machine Learning concepts & processes
Masters or PhD in Computer Science, Physics, Engineering, Math, or equivale