• Provide pre-sales technical support and technical expertise to our customers and partners with objective to achieve sales targets. • Establish trusted advisory role with strategic customers and partners (CIO, CISO). • Enable and/or update partner network on product evolution. • Perform workshops with prospects or customers on product evaluations and do demonstrations. • Perform hands-on tests to validate customer proof-of-concept setups, network designs, and network deployments using new products and feature. • Respond to RFI’s/RFP’s. • Provide market and product feedback to product management and back-office. • Keep up-to-date on competitive solutions, products, and services. • Author whitepapers, knowledge base articles, and other customer/partner facing content.

• Design end-to-end model lifecycle patterns (MLOps) to boost velocity of development for ML engineers, including data preparation, model management, experiment tracking, and more • Zero-to-one development and support of a graph ML codebase and platform that abstracts away common patterns and enables greater model scalability and iteration • Collaborate with ML engineers on performance tuning, including improving model training time, efficiency, and GPU training costs in a large, distributed ML training environment • Optimize batch data processing within a data warehouse and with tools such as Apache Beam, Apache Spark, Ray Data, and more • Architect pipelines to build and maintain massive graph data structures on the order of billions of nodes and tens of billions of edges

• Design end-to-end model lifecycle patterns (MLOps) to boost velocity of development for ML engineers, including data preparation, model management, experiment tracking, and more • Zero-to-one development and support of a graph ML codebase and platform that abstracts away common patterns and enables greater model scalability and iteration • Collaborate with ML engineers on performance tuning, including improving model training time, efficiency, and GPU training costs in a large, distributed ML training environment • Optimize batch data processing within a data warehouse and with tools such as Apache Beam, Apache Spark, Ray Data, and more • Architect pipelines to build and maintain massive graph data structures on the order of billions of nodes and tens of billions of edges

• Develop and implement maintenance and improvement measures for recycling equipment, including conveyors, shredders, optical sorters and material handling systems. • Collaborates closely with cross-functional teams to ensure seamless integration of mechanical and electrical infrastructure. • Troubleshoot and resolve issues with existing control systems and optimize the performance of control systems, ensuring efficient and reliable operations and improving operational outcomes. • Lead cross-functional projects from concept through commissioning, including budgeting, scheduling, and vendor coordination. • Analyzes system performance and implements improvements to maximize uptime, throughput, and efficiency. • Maintain detailed documentation for control systems, and ensure compliance with safety standards, environmental regulation, and industry standards in all control systems designs. • Support commissioning new equipment, retrofits of existing systems, and analysis of acquired equipment. • Champion a strong safety culture by incorporating industrial safety standards, including LO/TO, machine safeguarding, and electrical safety in all control and infrastructure projects. • Good communicator with the ability to translate findings in a strategic and tactical manner through investment opportunities.