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 setting.
Master'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 experimentation
Strong understanding of NLP fundamentals, including tokenization, word embeddings, language modeling, sequence labeling, and text generation
Experience with data processing using LangChain, data embedding using LLMs, Vector databases, and prompt engineering
Advanced knowledge of relational and non-relational databases (SQL, NoSQL)
Proficient in large-scale distributed systems (Hadoop, Spark, etc.)
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 mentorship
Experience with wrangling, exploring, transforming, and analyzing datasets of varying size and complexity
Knowledgeable of tools and processes to monitor model performance and data quality, including model tuning experience
Strong communication and interpersonal skills, and the ability to engage customers at a business level in addition to a technical level
Stay current with AI/ML trends and research; be a thought leader in the AI area
Experience with implementing machine learning models in production environment through one or more cloud platforms: Google Cloud Platform, Azure cloud services, AWS cloud services
Basic Qualifications
Thrive in a fast-paced, dynamic, client-facing role where delivering solid work products to exceed high expectations is a measure of success
Contribute in a team-oriented environment
Prioritize multiple tasks in order to consistently meet deadlines
Creatively solve problems in an analytical environment
Adapt to new environments, people, technologies, and processes
Excel in leadership, communication, and interpersonal skills
Establish strong work relationships with clients and team members
Generate ideas and understand different points of view