Job Description
Summary: Work Mode: Hybrid Responsibilities: Design, architect, 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 Mentor and coach junior level developers Drive resolutions of high impact problems/projects through in-depth evaluation of complex business processes and industry standards Ensure application design adheres to the overall architecture blueprint Develop standards for coding, testing, debugging, and implementation Provide comprehensive 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, demonstrating consideration for the company's reputation and compliance with applicable laws and regulations Requirements: Bachelors degree in computer science, Data Science, Statistics, Mathematics, Engineering, or related field or equivalent experience 3-5 years of experience with developing scalable and reliable machine learning systems for training, inference, monitoring, and iteration 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 Experience with Python, GenAI, LangGraph, Java Preferred Skills: 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 Experience with AI Dev tools such as Copilot