Backend Python Developer

Job TitleJob Description Required Education: Master's degree/bachelor's degree in computer science, Data Science, Statistics, Mathematics, Engineering or related field.Required Qualifications/Skills/Experience: 5+ years of industry experience as a backend Python developer or data scientist. 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 modelingOverview: 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 problemsJob 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.**