Backend Python Developer

Job Description

Backend Python Developer responsible for designing, developing, and deploying scalable machine learning systems in a hybrid work model. The role focuses on data extraction, cleaning, predictive modeling, and implementation of ML, DL, and LLM solutions for credit risk management within a financial services context.

• PhD or master’s degree in computer science, data science, statistics, mathematics, engineering, or a related field
• Bachelor’s degree in STEM or equivalent experience

• 5+ years of industry experience as a data scientist specializing in ML modeling, ranking, recommendation, or personalization systems
• 5+ years of experience designing and developing scalable and reliable machine learning systems for training, inference, monitoring, and iteration
• Strong background in ML, DL, LLM algorithms, model architectures, and training techniques
• Proficiency in Python, SQL, Spark, PySpark, Tensor Flow, or other analytical/model-building programming languages
• Proficiency with tools and LLMs
• Ability to work independently and collaboratively within a team

• Experience in GenAI/LLMs projects
• Familiarity with distributed data/computing tools (e.g., Hadoop, Hive, Spark, MySQL)
• Background in financial business such as banking or risk management
• Familiarity with capital markets, financial instruments, and modeling

• This is a development position for establishing and implementing new or revised applications and programs in the Technology team
• Responsible for data extraction and analysis from structured and unstructured sources
• Develop systems to clean results to build predictive and prescriptive models and implement them in a production environment by partnering with technology and business partners
• Address complex problems involving financial data with a specific focus on credit risk management
• Requires an open and adaptive mindset to learn new and advanced models in LLM and GenAI and bring innovative solutions to complex business problems

• Develop plans and coordinate with teams for all analytical efforts
• Manage deliverables in an agile environment and maintain clear communication with all model stakeholders
• Present status, issues, and analytical findings to various audience groups such as business, technology management, risk review, and model governance
• Data modeling and cleaning from internal and external sources
• Build predictive and prescriptive models by manipulating and cleaning results
• Develop, manage, and deploy analytical solutions using machine learning (ML), deep learning (DL), and large language models (LLMs) to production systems following the SDLC process
• Implement features through the ML lifecycle (development, testing, training, production, monitoring/evaluation) to ensure scalability and reliability

• Only those lawfully authorized to work in the designated country will be considered.
• Please note that all position start dates and durations are estimates and may be reduced or lengthened based upon a client’s business needs and requirements.

Rose International is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender (expression or identity), national origin, arrest and conviction records, disability, veteran status or any other characteristic protected by law. Positions located in San Francisco and Los Angeles, California will be administered in accordance with their respective Fair Chance Ordinances.

If you need assistance in completing this application, or during any phase of the application, interview, hiring, or employment process, whether due to a disability or otherwise, please contact our HR Department.

Rose International has an official agreement (), effective June 30, 2008, with the U.S. Department of Homeland Security, U.S. Citizenship and Immigration Services, Employment Verification Program (E-Verify). (Posting required by OCGA 13/10-91.).