Senior Software Engineer Python Back-end

Overview

This is a development position for establishing and implementing new or revised applications and programs in the Technology team.

• Responsible for data extraction and data 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 in innovative solutions to complex business problems

Job Duties

• 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 like business, technology management, risk review, model governance, etc.
• Data modelling 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 using 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 associated with the position will be considered.
• Please note that all Position start dates and duration are estimates and may be reduced or lengthened based upon a client’s business needs and requirements.

Required Education

• PhD or master’s degree in computer science, Data Science, Statistics, Mathematics, Engineering or related field
• Bachelor’s degree/University degree or equivalent experience in STEM

Required Qualifications/Skills/Experience

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

Preferred Qualifications/Skills/Experience

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

Benefits

For information and details on employment benefits offered with this position, please visit here. Should you have any questions/concerns, please contact our HR Department via our secure website.

California Pay Equity

For information and details on pay equity laws in California, please visit the State of California Department of Industrial Relations' website here.

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 (ID #132522), 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.).