Role Description: We are looking for a highly skilled Senior Developer with strong AI/ML expertise to lead the next phase of intelligent automation in RadEze PACS, our cloud-native radiology workflow platform. You’ll work closely with the founding team to enhance DICOM image handling, integrate diagnostic AI features, and ship high-impact features requested by global radiology clients. Location: Noida (Preferred) Experience: 5–10 years Company: Ezewok Healthtech Pvt Ltd Compensation: Competitive with equity potential Requirements: B.Tech/M.Tech from IIT/NIT/BITS or top-tier institutes (preferred) 5–10 years of full stack development experience (Node.js + React.js) Strong hands-on experience with AI/ML: PyTorch, TensorFlow, scikit-learn Image classification, segmentation, NLP OpenAI CLIP, Whisper, or HuggingFace models Experience in medical imaging (DICOM, PACS, Cornerstone, MONAI, SimpleITK) is a major plus Solid understanding of cloud infrastructure (AWS EC2, S3, GPU, Docker, Lambda) Comfort with real-world product building, debugging, and scaling Responsibilities: Full Stack Development Own and scale our Node.js + React-based PACS infrastructure Implement new features from diagnostic centers and radiologists Optimize performance of DICOM viewer report workflows, and metadata processing Enhance real-time dashboards, billing engines, and multi-user reporting modules AI/ML & Diagnostic Intelligence Develop and deploy AI models for radiology use cases: X-ray/CT/MRI classification. Anomaly detection, segmentation, or report summarization Integrate dictation and NLP tools for auto-reporting Build scalable pipelines for image-based inference on AWS/GPU-backed infrastructure Contribute to building our AI assistant for radiologists and coordinators Product & Client Collaboration Translate client feature requests into scalable product modules Guide implementation of quality and TAT tracking metrics Mentor junior developers; work with product and infra leads Shape our AI roadmap based on user feedback and imaging standards Bonus Skills: Worked on teleradiology, healthcare AI, or FDA/CE-regulated medical software Experience with multi-user workflows, audit trails, and data privacy (HIPAA/GDPR) Experience contributing to open-source radiology tools. Why Join Us? Be a foundational member of India’s most flexible, AI-enhanced PACS platform Lead the AI vision for radiology, working with real-world data at scale Shape a fast-growing product used by radiologists and hospitals across India and abroad Remote-first, product-led, and deeply impact-driven culture To Apply Send your resume, portfolio, and a brief on your most exciting AI/radiology project to hr@ezewok.com or connect directly with the founders on LinkedIn.
Company Description EzeWok is a technology-driven healthcare solutions provider dedicated to transforming diagnostic workflows through innovation and automation. Our flagship product, RadEze PACS , is a cloud-based radiology platform designed to streamline image management, accelerate reporting, and enable efficient collaboration across locations. We offer comprehensive solutions including remote radiology support and AI data preparation. Our mission is to redefine how radiology functions in a connected world, helping modern radiology teams enhance efficiency and maintain high diagnostic accuracy. Role Description EzeWok is looking for a motivated Sales Intern to support our growth by promoting our Teleradiology services and PACS solutions to hospitals, diagnostic centers, and clinics. This role offers hands-on exposure to the healthcare technology sector, combining client interactions, presentations, and relationship-building with real-world learning opportunities. Qualifications Graduate (any discipline). 1–4 years of experience in sales (healthcare, diagnostics, medical devices, or IT preferred). Strong communication, negotiation, and presentation skills. Willingness to travel extensively as part of the role. Self-motivated, adaptable, and eager to learn. Key Responsibilities Identify and connect with potential clients such as hospitals, diagnostic centers, and imaging centers. Conduct client meetings, product demonstrations, and presentations. Introduce and promote Teleradiology reporting services (MRI, CT, X-Ray) and PACS solutions. Build and maintain strong client relationships to ensure satisfaction and trust. Work towards achieving monthly and quarterly business goals. What We Offer Sales stipend. Opportunity to gain in-depth exposure to healthcare technology sales. Growth prospects in a dynamic and fast-growing healthcare company. Interested? Send your resume to hiring@ezewok.com
Role Description: We are looking for a highly skilled Senior Developer with strong AI/ML expertise to lead the next phase of intelligent automation in RadEze PACS, our cloud-native radiology workflow platform. You’ll work closely with the founding team to enhance DICOM image handling, integrate diagnostic AI features, and ship high-impact features requested by global radiology clients. Location: Noida (Preferred) Experience: 5–10 years Company: Ezewok Healthtech Pvt Ltd Compensation: Competitive with equity potential Requirements: B.Tech/M.Tech from IIT/NIT/BITS or top-tier institutes (preferred) 5–10 years of full stack development experience (Node.js + React.js) Strong hands-on experience with AI/ML: PyTorch, TensorFlow, scikit-learn Image classification, segmentation, NLP OpenAI CLIP, Whisper, or HuggingFace models Experience in medical imaging (DICOM, PACS, Cornerstone, MONAI, SimpleITK) is a major plus Solid understanding of cloud infrastructure (AWS EC2, S3, GPU, Docker, Lambda) Comfort with real-world product building, debugging, and scaling Responsibilities: Full Stack Development Own and scale our Node.js + React-based PACS infrastructure Implement new features from diagnostic centers and radiologists Optimize performance of DICOM viewer report workflows, and metadata processing Enhance real-time dashboards, billing engines, and multi-user reporting modules AI/ML & Diagnostic Intelligence Develop and deploy AI models for radiology use cases: X-ray/CT/MRI classification. Anomaly detection, segmentation, or report summarization Integrate dictation and NLP tools for auto-reporting Build scalable pipelines for image-based inference on AWS/GPU-backed infrastructure Contribute to building our AI assistant for radiologists and coordinators Product & Client Collaboration Translate client feature requests into scalable product modules Guide implementation of quality and TAT tracking metrics Mentor junior developers; work with product and infra leads Shape our AI roadmap based on user feedback and imaging standards Bonus Skills: Worked on teleradiology, healthcare AI, or FDA/CE-regulated medical software Experience with multi-user workflows, audit trails, and data privacy (HIPAA/GDPR) Experience contributing to open-source radiology tools. Why Join Us? Be a foundational member of India’s most flexible, AI-enhanced PACS platform Lead the AI vision for radiology, working with real-world data at scale Shape a fast-growing product used by radiologists and hospitals across India and abroad Remote-first, product-led, and deeply impact-driven culture To Apply Send your resume, portfolio, and a brief on your most exciting AI/radiology project to hr@ezewok.com or connect directly with the founders on LinkedIn.
Job Description – Quality Assurance Lead (Radiology Department) Location: Noida (On-site) Department: Quality Control / Radiology QA Role Overview The Quality Assurance Lead will oversee daily quality operations within the radiology reporting workflow, ensuring accuracy, compliance, and timely delivery of reports. The role requires a proactive and detail-oriented professional capable of leading a team, handling client escalations, and maintaining high-quality standards across all modalities and report categories. Key Responsibilities Supervise and guide the Quality Control Team in daily operations to ensure accuracy, efficiency, and consistency. Review radiology reports and DICOM images to identify mismatches, missed findings, or formatting errors. Monitor and audit QA reports to track team and individual performance metrics. Handle client queries and escalations with professionalism and timely communication. Collaborate with Radiologists, Coordinators, and Technical teams to maintain seamless workflow operations. Conduct root cause analysis for recurring quality issues and implement corrective actions. Prepare and present weekly/monthly QA performance reports to management. Train, mentor, and evaluate team members to ensure continuous skill development. Maintain updated documentation, SOP adherence, and transparent QA reporting. Perform hands-on QA reviews during peak workload or staff shortages. Core Competencies & Skills Strong Radiology Knowledge: Deep understanding of radiology modalities (X-ray, CT, MRI, Ultrasound, etc.) and reporting workflow. Technical Proficiency: Experience working with PACS systems . Leadership & Team Management: Ability to motivate and manage a QA team effectively. Analytical Skills: Ability to detect patterns and propose quality improvement strategies. Communication Skills: Clear, confident, and respectful communication with internal and external stakeholders. Attention to Detail: Excellent observation and accuracy in report verification. Fast Typing & Digital Efficiency: Skilled in MS Excel, Google Sheets, and QA tracking tools. Experience & Qualification Minimum 3–5 years of experience in Radiology QA or Quality Control. At least 2 years in a leadership or team-handling role. Graduate degree in Science, Healthcare, or a related field (preferred). Proven ability to work under pressure and maintain quality in high-volume environments. Compensation Competitive and commensurate with experience and performance.