• Develop and maintain robust, high-performing microservices using Java Spring Boot. • Design and implement scalable and distributed solutions to meet complex business requirements. • Utilize PostgreSQL for database management and integration within services. • Create and manage containerized applications using Docker and orchestrate deployments using Kubernetes (K8S). • Work collaboratively with stakeholders to analyze requirements, propose solutions, and ensure alignment with business goals. • Develop comprehensive testing strategies, including unit and integration testing, to ensure reliable and secure applications. • Ensure code quality and maintainability by following best practices and conducting regular code reviews.

• Develop, train, and optimize Machine Learning models using Python • Explore, prepare, and analyze data to build analytical solutions • Apply feature engineering techniques and feature selection • Work with large volumes of data using SQL and/or Spark • Validate models using metrics appropriate to the business context • Monitor models in production, tracking data drift and model drift • Partner with business areas to identify opportunities and generate value through data

• Join a specialist group that uses advanced math, computer programs, and data to build mathematical models that make smart, fast business choices • Develop and maintain Python scripts and applications to support business processes • Create and Optimize math models, workflows, including uploading inputs into existing scripts, and design simple UI components where needed • Implement Linear Programming with Python • Implement data quality checks to ensure accuracy and consistency across datasets • Integrate and interact with databases for data storage and retrieval • Perform data extraction and parsing from third-party APIs • Support GIS mapping tasks

• Define and refine scope of work; • Technical solution design; • Development and testing; • Implementation and post-implementation support; • Support and benefits realization.