Develop and implement machine learning models to solve complex business problems.
Work with large language models (LLMs) to enhance natural language processing (NLP) capabilities.
Design and develop retrieval-augmented generation (RAG) systems to improve information retrieval and synthesis.
Collaborate with cross-functional teams to identify AI use cases and define project requirements.
Analyze large datasets to extract actionable insights and inform decision-making.
Monitor and evaluate the performance of AI models, providing feedback for continuous improvement.
Stay up-to-date with the latest developments in AI and machine learning.
Qualifications:
Bachelors degree in Computer Science, Data Science, Statistics, or a related field. Masters or PhD preferred.
Demonstrated experience in a Data Scientist or comparable role.
Comprehensive knowledge of machine learning algorithms, techniques, and their practical implementation.
Expertise in working with large language models (LLMs) such as GPT-3, GPT-4, or similar.
Experience in developing retrieval-augmented generation (RAG) systems.
Proficiency in programming languages such as Python, R, and SQL.
Excellent analytical and problem-solving skills.
Outstanding communication and collaborative skills to thrive in team-oriented environments.
Preferred Skills:
Knowledge of natural language processing (NLP) techniques and associated tools.
Familiarity with AI tools and platforms (eg, LangChain, TensorFlow, PyTorch, Azure AI).
Experience utilizing data visualization tools (eg, Tableau, Power BI).
Working knowledge of data privacy, security standards, and best practices.
Background in the banking sector or familiarity with financial products and services.
Job Classification
Industry: Banking Functional Area / Department: Data Science & Analytics Role Category: Data Science & Machine Learning Role: Data Scientist Employement Type: Full time