Python Developer

Job Title

Responsibilities:

• Architect, design, and implement robust Python-based solutions.
• Lead global technology teams across different time zones, enabling a hybrid work model.
• Drive Object-Oriented Programming (OOPS) principle-based development and mentor team members to leverage advanced Python coding techniques and features.
• Partner with multiple management teams to ensure appropriate integration of functions to meet goals and identify necessary system enhancements for new products and process improvements.
• Resolve a variety of high impact problems/projects through in-depth evaluation of complex business processes, system processes, and industry standards.
• Provide expertise in applications programming and ensure application design adheres to the overall architecture blueprint.
• Utilize advanced knowledge of system flow and develop standards for coding, testing, debugging, and implementation.
• Develop comprehensive knowledge of how areas of business, such as architecture and infrastructure, integrate to accomplish business goals.
• Provide in-depth analysis with interpretive thinking to define issues and develop innovative solutions.
• Serve as advisor or coach to mid-level developers and analysts, allocating work as necessary.
• Experience in writing and using shell script and other Linux features.
• Implement Unit Testing and TDD to ensure software quality and maintainability.
• Appropriately assess risk when business decisions are made, demonstrating particular consideration for the company's reputation and safeguarding its clients and assets, by driving compliance with applicable laws, rules, and regulations, adhering to policy, applying sound ethical judgment regarding personal behavior, conduct, and business practices, and escalating, managing, and reporting control issues with transparency.
• Proactive.

Requirements:

• PhD or master's degree in computer science, data science, statistics, mathematics, engineering, or related field.
• Minimum 5 years of industry experience as a data scientist, specializing in ML modeling, ranking, recommendations, or personalization systems.
• Minimum 5 years of experience designing and developing scalable and reliable machine learning systems for training, inference, monitoring, and iteration.
• Strong background in 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 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.
• Familiarity with capital markets and financial instruments and modeling.