Jobs at Teleradiology Solutions (TRS)

Develop and evaluate deep-learning models for medical imaging classification, detection, and segmentation. Own scoped workstreams from dataset preparation through validation, documentation, and handoff. Build DICOM data pipelines, conduct clinical metric analysis and error analysis, collaborate with radiologists, and support production inference services using Python, Docker, and FastAPI. Work under senior guidance to deliver reproducible, clinically reliable AI systems.

Build and deploy operational machine learning algorithms for case routing, prioritization, forecasting, scheduling, and anomaly detection. Develop AI-enabled mobile features, optimize on-device inference, create production ML services with Python, Docker, and FastAPI, and establish data pipelines, testing, monitoring, and evaluation processes. Collaborate with operations, product, and engineering teams while using AI-assisted coding tools under senior engineering guidance.

Own end-to-end UX for clinical AI and healthcare products, including research, workflow mapping, interaction design, prototyping, usability validation, visual design, data visualization, design systems, accessibility, engineering collaboration, implementation review, and post-release refinement. The role focuses on complex, data-dense workflows used by radiologists, operations teams, and administrators.

Own clinical AI algorithms end to end, including data strategy, model development, clinical validation, production deployment, monitoring, and improvement. Build computer vision models for medical imaging, architect DICOM pipelines, evaluate performance with radiologists, and deploy reliable GPU services across cloud and on-premise infrastructure. Lead technical reviews, establish engineering standards, mentor junior engineers, and optimize production systems for accuracy, latency, and safe operation.

Own end-to-end OCR, VLM, and Document AI systems for healthcare workflows, including preprocessing, model fine-tuning, structured extraction, multimodal RAG, agentic systems, evaluation harnesses, production APIs, deployment, monitoring, and CI/CD. The role requires substantial production experience, strong Python and deep learning expertise, and technical leadership in designing reliable, traceable document intelligence systems.

Manages full-cycle recruitment for technical roles across IT, AI/ML, software development, cloud, infrastructure, cybersecurity, data, and engineering. Responsibilities include partnering with hiring managers, sourcing and screening candidates, coordinating interviews, maintaining candidate records, negotiating compensation, building talent pipelines, tracking recruitment metrics, supporting employer branding, and participating in recruiting events.

Manage and optimize LAN/WAN, WLAN, VPN, internet connectivity, routers, switches, and firewalls. Monitor network performance, uptime, utilization, and security; troubleshoot DNS, DHCP, routing, and connectivity issues; coordinate with ISPs and vendors; maintain network documentation and IP inventories; and support infrastructure upgrades, backup connectivity, and disaster recovery.

Manage client relationships as the primary point of contact, resolve operational and technical issues, track cases against turnaround times, coordinate with internal teams, provide client updates, and prepare KPI and performance reports. The role also identifies workflow gaps, supports process improvements, and communicates client feedback to Operations, Technical Support, and Quality teams.

Provide comprehensive administrative and strategic support to the founder by managing calendars, meetings, travel, correspondence, reports, presentations, research, action items, documentation, and confidential information. Coordinate with internal and external stakeholders, prepare meeting materials and minutes, support executive office operations, and use AI, automation, video editing, and digital media tools to improve productivity and workflow efficiency.