Senior Architect, GenAI and LLM, Data Dallas, Texas

We are looking for an enthusiastic Senior GenAI and LLM Architect to add to Credera’s Data capability group. Our ideal candidate is excited about leading project-based teams in a client-facing role to analyze large data sets to derive insights through machine learning (ML) and artificial intelligence (AI) techniques. They have strong experience in data preparation and analysis using a variety of tools and programming techniques, building and implementing models, and creating and running simulations. The Senior Architect should be familiar with the deployment of enterprise scale models into a production environment; this includes leveraging full development lifecycle best practices for both cloud and on-prem solutions across a variety of use cases.You will act as the primary architect and technical lead on projects to scope and estimate work streams, architect and model technical solutions to meet business requirements and serve as a technical expert in client communications. On a typical day, you might expect to participate in design sessions, provision environments, and coach and lead junior resources on projects.WHO YOU ARE:8+ years of proven experience in the architecture, design, and implementation of large scale and enterprise grade AI/ML solutions, including hands-on statistical modeling and/or analytical experience in an industry or consulting settingMaster’s degree in statistics, mathematics, computer science or related field (a PhD is preferred)Experience with a variety of ML and AI techniques (e.g. multivariate/logistic regression models, cluster analysis, predictive modeling, neural networks, deep learning, pricing models, decision trees, ensemble methods, etc.)Proficiency in programming languages such as Python, TensorFlow, PyTorch, or Hugging Face Transformers for model development and experimentationStrong understanding of NLP fundamentals, including tokenization, word embeddings, language modeling, sequence labeling, and text generationExperience with data processing using LangChain, data embedding using LLMs, Vector databases and prompt engineeringAdvanced knowledge of relational and non-relational databases (SQL, NoSQL)Experience with designing and presenting compelling insights using visualization tools (RShiny, R, Python, Tableau, PowerBI, D3.js, etc.)Passion for leading teams and providing both formal and informal mentorshipExperience with wrangling, exploring, transforming, and analyzing datasets of varying size and complexityKnowledgeable of tools and processes to monitor model performance and data quality, including model tuning experienceStrong communication and interpersonal skills, and the ability to engage customers at a business level in addition to a technical levelStay current with AI/ML trends and research; be a thought leader in AI areaExperience with implementing machine learning models in production environments through one or more cloud platformsBasic Qualifications:Thrive in a fast-paced, dynamic, client-facing role where delivering solid work products to exceed high expectations is a measure of successContribute in a team-oriented environmentPrioritize multiple tasks in order to consistently meet deadlinesCreatively solve problems in an analytical environmentAdapt to new environments, people, technologies and processesExcel in leadership, communication, and interpersonal skillsEstablish strong work relationships with clients and team membersGenerate ideas and understand different points of view

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