Writing clean, maintainable, production-ready codeDebugging and troubleshootingWorking with existing codebases and contributing enhancementsMust actively participate in coding (not just reviewing) Machine Learning KnowledgePractical experience in Machine LearningStrong understanding of:
NumPyPandasScikit-learn (basic ML workflows)Should understand ML concepts clearly (not just theoretical knowledge)Gen-AI & Agent DevelopmentExperience building or working with Generative AI agents
Understanding of:
How to design and connect AI agentsHow agent-generated code worksHow to evaluate and improve generated outputsShould stay updated with the latest trends and advancements in Gen-AIExperience using or integrating with MCP serversUsing MCP to connect to different APIsDesigning tools that integrate with multiple servicesExperience working with Microservices architecture
DevOps & Operational KnowledgeUnderstanding of:
CI/CD pipelines and release processesHow to monitor deploymentsHow to check and analyze logsExperience troubleshooting production issuesIdeal Candidate ProfileStrong in PythonHands-on in Machine LearningExperience building Gen-AI agentsComfortable working with microservices and APIsAble to build foundational tools that other team members can extend and followContributes effectively to ongoing systems and new feature development
Qualifications:
5+ years of industry experience as a data scientist, specializing in ML Modeling, Ranking, Recommendations, or Personalization systems.
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 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.
Should be familiar with capital markets and financial instruments and modelingJob DescriptionThis a development position for establishing and implementing new or revised applications and programs in the Technology team.
As part of this role, you will be responsible for data extraction and data analysis from structured and unstructured sources. You will 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. You will have to address complex problems involving financial data with specific focus on credit risk management. You will have to have open and adaptive mindset to learn new and advanced models in LLM and GenAI and bring in innovative solutions to complex business problems.
Responsibilities:
Architect, Design, and implement robust Python-based solution
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 as well as identify and define necessary system enhancements to deploy new products and process improvements
Resolve variety of high impact problems/projects through in-depth evaluation of complex business processes, system processes, and industry standards
Provide expertise in area and advanced knowledge of 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 using 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 firm's reputation and safeguarding Client, 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.
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.