Skills Required: ML GenAI LLM Python
Job Description:
Key Responsibilities:
Design and Development: Design develop and maintain large-scale data pipelines and architectures to support regulatory reporting requirements using Python and various GenAI models including ChatGPT.
Data Analysis: Work on data analytics to support regulatory reporting leveraging data engineering skills to extract insights from large datasets.
Model Development: Develop and deploy AI/ML models using GenAI technologies with a focus on natural language processing and machine learning to support regulatory reporting requirements.
Axiom Vendor Tool: Receive training on and work with the Axiom vendor tool to support regulatory reporting ensuring seamless integration with existing data pipelines.
SQL Expertise: Pre-requisite skill to learn Axiom tool.
Cohere Model Experience: Nice to have experience working with Cohere models with the ability to apply this knowledge to support regulatory reporting requirements.
Unix Experience: Nice to have experience working with Unix operating systems with the ability to apply this knowledge to support Axiom tasks.
Problem-Solving: Troubleshoot data pipeline issues optimize data processing and resolve data quality problems to ensure timely and accurate regulatory reporting.
Documentation: Maintain accurate and up-to-date documentation of data pipelines architectures and models to ensure knowledge sharing and continuity.
Staying Up-to-Date: Stay current with emerging trends and technologies in GenAI data engineering and regulatory reporting applying this knowledge to continuously improve processes and systems.
Requirements:
46 years of experience in data engineering with a focus on Python and GenAI technologies
Experience working with ChatGPT and other GenAI models
Strong SQL skills and experience working with large datasets
Ability to work in a fast-paced environment and meet deadlines
Excellent problem-solving skills and attention to detail
Strong collaboration and communication skills