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Python Lead Engineer

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Bengaluru, Karnataka, India FICO Full time

Hybrid Work Mode: Mandatory 3days WFO and 2days WFH The Opportunity " As a Lead Python developer, you will help build leading data science tools for advanced analytics for our Open Model Execution Service product, you will solve tough analytic problems in real-world applications, using machine learning and explainable artificial intelligence (xAI), and share those solutions with our customers around the globe. Working side-by-side with some of the brightest analytical and engineering minds in our industry, who share your passion for innovation and excellence, you will tremendously grow your own skills and influence ." - Sr Director, Technical Architecture What We're Seeking Bachelor's Degree or higher in computer science, engineering, physics, statistics, mathematics, operations research, or natural science fields. 7 - 10years hands-on related experience in predictive modeling and data science using Python. Experience designing and developing reusable Python API packages to be consumed by other teams working on data science projects. Experience using Rest and GRPC API . Experience in software development methodologies including software architecture, design, problem solving, performance tuning, test-driven development, and debugging skills. Experience with ML Operations and python ML packages. Experience with java, Kafka, Spring boot, Kubernetes and helm is a plus. What You'll Contribute Plan, design, implement, and test Python API's, algorithms, and examples for use by data scientists to address all portions of the predictive modeling lifecycle. Work side-by-side with data scientists, QA engineers and UX designers to create robust, efficient, and flexible pipelines to transform data, train machine learning models, and test and monitor operationalized models. Find, augment and design data sets to exercise, quality test, stress test and demonstrate novel data science algorithms. Engage with internal users, clients, and pre-sales engineers to design and create useful solutions, proofs of value, demonstrations, and educational materials.