Machine Learning Engineer *GenAI, Python, ChatGPT, SQL

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:

4–6 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