• Build and implement software tools and Machine Learning models • Work with other Developers throughout the software development life cycle • Collect, process, and clean large data sets from various sources • Design machine learning systems • Apply statistical analysis and machine learning techniques • Develop machine learning applications according to requirements • Select appropriate datasets and data representation methods • Run machine learning tests and experiments • Perform statistical analysis and fine-tuning using test results • Train and retrain systems when necessary • Visualize data and present findings • Verify and deploy programs and systems • Troubleshoot, debug and upgrade existing systems • Recommend and execute improvements • Create technical documentation for reference and reporting • Collaborate with cross-functional teams • Stay updated with the latest advancements in data science and machine learning

• Configure, customize, and deploy IWMS applications, including forms, views, workflows, and business rules. • Translate business requirements into functional and technical specifications. • Implement authentication settings, basic system parameters, and module configurations within the IWMS platform. • Develop light-to-moderate application customizations using JavaScript and XML. • Support integrations using REST or SOAP APIs, SQL queries, and system-to-system data exchanges. • Perform data manipulation work including mapping, transformation, and quality validation. • Execute data migrations using SQL Server, ETL tools, or vendor-provided utilities. • Investigate and resolve Tier 1–2 technical support requests for IWMS applications. • Analyze system errors, data inconsistencies, and configuration issues. • Collaborate with senior engineers on more complex integration or performance problems. • Recommend system enhancements that drive higher performance, usability, and adoption. • Build or modify standard system reports using SQL queries, XML, JavaScript, or platform-specific reporting tools. • Assist customers in creating dashboards, metrics, or KPIs within the IWMS environment. • Help maintain data integrity across modules through routine checks and cleanup processes. • Contribute to user guides, configuration documentation, and internal knowledgebase content. • Provide occasional end-user or system admin training sessions. • Participate in project planning meetings, technical design sessions, and code reviews as appropriate. • Support best practices in source control and development environment maintenance.

• Serve as a subject matter expert on the application and use of FR3 fluid • Support the regional commercial team by providing training and other support to end users and transformer manufacturers • Answer technical questions via email or Teams calls • Write papers or make presentations at industry events to promote our products • Establish and cultivate effective technical relationships with customers • Oversee individual technology projects within your scope of responsibility • Seek solutions to issues using deep knowledge in one or more field and wide knowledge across multiple specialties • Identify and provide technical support to strategic customers with priority in the country or region

• Provide technical implementation, configuration, and integration support for Concurrent Real-Time products. • Assist customers in system setup, benchmarking, latency optimization, and troubleshooting of real‑time environments. • Deliver on-site or remote customer training, demonstrations, and technical workshops. • Collaborate with R&D teams to replicate issues and validate fixes. • Develop and maintain technical documentation, solution guides, and best practices. • Support pre-sales activities by participating in technical presentations and requirements analysis. • Provide feedback to product management on feature requests and market needs. • Travel internationally (approx. 15–25%) for customer engagements, training, and on-site support.