Credera is a global consulting firm that combines transformational consulting capabilities, deep industry knowledge, AI and technology expertise to deliver valuable customer experiences and accelerated growth across various industries. We are looking for an enthusiastic GenAI and LLM Architect to add to Credera’s Data capability group.
Requirements
- Proven experience in the architecture, design, and implementation of large scale and enterprise grade AI/ML solutions
- 5+ years of hands-on statistical modeling and/or analytical experience in and 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, Power BI, 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: Google Cloud Platform, Azure cloud services, AWS cloud services
Benefits
- Health, mental health, vision, dental, and life insurance
- Prescriptions, fertility and adoption benefits
- Community service days
- Paid parental leave
- PTO
- 14 paid holidays
- Matching 401(k)
- Healthcare & Dependent Flexible Spending Accounts
- Disability benefits
