Enterprise AI Architect with Data Focus
1 month ago
We are seeking a seasoned Senior GenAI and LLM Architect to join our Data capability group at Credera. This is an exciting opportunity for a technical leader who can drive project-based teams in a client-facing role, leveraging machine learning (ML) and artificial intelligence (AI) techniques to analyze large datasets.
Key Responsibilities- Lead project-based teams in scoping and estimating work streams, architecting technical solutions, and serving as a technical expert in client communications.
- Act as the primary architect and technical lead on projects, ensuring successful delivery of business requirements.
- Participate in design sessions, provision environments, and coach junior resources on projects.
To succeed in this role, you will need:
- 8+ years of experience in architecture, design, and implementation of large-scale and enterprise-grade AI/ML solutions.
- Master's degree in statistics, mathematics, computer science, or a related field.
- Hands-on statistical modeling and analytical experience in an industry or consulting setting.
- Experience with ML and AI techniques, including 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.
- 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, with the ability to engage customers at a business level and technical level.
- Average salary range: $165,000-$230,000 USD per year.
- Hybrid work model, allowing employees to work remotely two days per week.
- Opportunities for growth and development, including training and mentorship programs.
- A collaborative and dynamic work environment.
- Access to cutting-edge technology and tools.
- Generous compensation and benefits package.
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