Software Engineer (Python)

• Design, architect, and implement robust Python-based solutions.
• Collaborate with global Technology Teams across different time zones in a hybrid work model.
• 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, system processes, and industry standards.
• Ensure application design adheres to the overall architecture blueprint.
• Utilize knowledge of system flow to 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 firm’s reputation and safeguarding its clients and assets by driving compliance with applicable laws, rules, and regulations.

• Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or related field.
• 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.

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.