•Related Bachelor’s degree or related work experience
•5+ years related work experience, professional experience with technical design and coding in the IT industry
•Strong experience in building Advanced Retrieval Augmented Generation (RAG) applications with required guardrails
•Strong experience with a programming language Python with Java background
•Experience leading projects and working in a collaborative, interdisciplinary team environment, consisting of data scientists, ML engineers, and domain experts
•Proficient professional hands-on experience in Generative AI
•Experience integrating LLMs, such as Llama, Mistral, generative pre-trained transformer (GPT) models, or multi-modal models with applications or user interfaces
•Experience working with modern AI capabilities in ML such as Scikit-learn or pandas
•Experience with natural language processing such as Gensim or NLTK, large language model (LLM) frameworks such as Lang Chain, Hugging Face and API integration and development such as RESTful APIs
•Experience finetuning LLMs and creating and leveraging vector databases such as Pgvector, Redis, Elasticsearch for Retrieval Augmented Generation
•Experience with standup of cloud-based infrastructure and platform services, including AWS or Azure
•Experience of how to evaluate generative AI models and model output, and how to apply responsible AI principles to LLMs
•Experience with container technologies, such as Docker or Kubernetes
•Ability to distill complex technical concepts into easily understandable summaries consumable by business leaders with a non-technical background
•Knowledge of LLMOps,including frameworks and tools used for deploying LLMs, such as FastAPI, Flask, or Streamlit
•Knowledge of MLOps, including CI/CD, model training or testing, deployment, or monitoring
•Familiarity with DevOps principles, including code repository, code management, CI/CD
*Primary is Python/AI dev experience
Bachelor's Degree