• Build end-to-end POCs and MVPs alongside customer engineering teams, working inside their codebases, infrastructure, and constraints. • For customers whose core product is built on GenAI, architect the inference foundations that capability depends on, and size deployments so they can scale in their market without infrastructure becoming the bottleneck. • Run load tests and establish latency, throughput, and cost baselines against realistic customer traffic profiles, and tune deployments to hit those targets • Deploy and validate new model families on inference frameworks (vLLM, SGLang), determining optimal shapes, quantization configs, and serving patterns across workloads. • Guide customers on model selection, fine-tuning strategy (SFT, DPO, RFT), and evaluation methodology. • Build and run fine-tuning pipelines directly with customers, navigating trade-offs between model families, compute cost, and quality targets. • Design and implement evaluation frameworks that measure production-quality metrics, not just benchmark scores. • Help customers bake frontier model capabilities into their core offering and turn that into a durable competitive edge. • Lead structured discovery conversations to unpack customer pain points, constraints, and success criteria before proposing solutions. • Own the technical relationship from first engagement through production deployment. Earn trust with ML engineers and VPs in the same meeting. • Spend time on-site with customers. Build trust and momentum in person, embedding with their teams where the work happens. • Identify recurring customer pain points and translate them into concrete product proposals, working directly with engineering and product to ship fixes and features. • Codify repeatable deployment patterns and contribute them back to internal tooling, documentation, and the platform itself. • Feed customer signals (deployment patterns, failure modes, feature gaps) back into the product roadmap with specificity and urgency.

• Provide on-site service and repair to truck mounted equipment on railroad service vehicles • Cover an assigned geographical service area utilizing a company vehicle • Communicate with customers to understand and diagnose problems • Make necessary repairs and modifications to truck mounted equipment • Accurately estimate time and material required for repairs • Problem solving under little or no supervision • Inform and communicate suggestions and errors for continuous improvement of trucks

• Installing, servicing, and repairing systems and components at customer sites. • Diagnosing complex mechanical, hardware, and software failures down to the component level. • Serving as the technical contact for client issues and escalating design problems to engineering. • Training and guiding Level I–III technicians and field engineers. • Tracking maintenance, reporting downtime, ordering parts, and following safety policies.

• Lead the installation, startup, and commissioning of process equipment and utility systems at Daniels Health treatment facilities across North America. • Develop installation plans, schedules, and project execution strategies for facility expansions, upgrades, and new site builds. • Coordinate with contractors, vendors, project managers, and operations teams to ensure safe, on-time, and cost-effective project delivery. • Manage procurement, technical review, and integration of equipment including autoclaves, wash systems, boilers, compactors, compressors, conveyors, and supporting utilities. • Interpret and verify mechanical drawings, P&IDs, electrical schematics, submittals, and field changes to ensure installation quality and compliance. • Troubleshoot mechanical, electrical, and controls-related issues during installation and startup, driving timely resolution and system optimization. • Ensure compliance with OSHA, NFPA, LOTO, and site safety requirements while supporting operator training, documentation, and CMMS implementation.