Software Engineer - Python

Summary: Work Mode: Hybrid Responsibilities: Design and implement robust Python-based solutions. Collaborate with global Technology Teams across different time zones. Adhere to Object-Oriented Programming (OOPS) principle-based development standards. Contribute to the resolution of high-impact problems/projects through in-depth evaluation of complex business and system processes. Ensure application design adheres to the overall architecture blueprint. Develop standards for coding, testing, debugging, and implementation. Provide in-depth analysis with interpretive thinking to define issues and develop innovative solutions. Implement Unit Testing and TDD to ensure software quality and maintainability. Assess risk when business decisions are made, ensuring compliance with applicable laws, rules, and regulations. Requirements: Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field. 1-3 years of experience with developing scalable and reliable machine learning systems. Exposure to ML/DL/LLM algorithms, model architectures, and training techniques. Proficiency in Python and related modules (e.g., numpy, pandas). Proficiency utilizing LLMs. Ability to work independently and collaboratively within a team. Preferred Skills: Experience in GenAI/LLMs projects. Familiarity with distributed data/computing tools (e.g., Hadoop, Hive, Spark, MySQL). Background in financial business such as banking and risk management. Experience with AI Dev tools such as Copilot.