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.
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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)
- 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 AI area
- Experience with implementing machine learning models in production environments through one or more cloud platforms
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
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