431 Dicom Jobs - Page 7

Company Description Nandico is a pioneering cloud-based PACS software developed by a radiologist to digitize radiology workflows. Known for its best-in-class DICOM image viewer and fast loading times, Nandico is installed in over 6000 centers across 24 states in India. The software is designed to enhance efficiency and provide seamless radiological imaging solutions. Role Description This is a full-time hybrid role for a Lead Generation Specialist - Cold Calling at NANDICO Healthcare with work from home acceptable. The Lead Generation Specialist will be responsible for generating new leads through cold calling, conducting research to identify potential clients, communicating effectively to pitch products, and working closely with the sales team to convert leads into clients. Qualifications Experience in New Leads and Lead Generation Excellent Communication and Sales skills Strong Research skills to identify and target potential clients Ability to work independently as well as part of a team Proven track record in lead generation and conversion Experience in the healthcare or radiology industry is a plus Bachelor's degree in Marketing, Business, Communications, or a related field

Role Description Collaborate with the QA team under the guidance of the SQA Manager or Supervisor to evaluate and test software applications across various business domains within Arthrex. Apply test automation methodologies, business process understanding, and application knowledge to design robust test strategies and plans. Design, develop, and maintain automated test scripts for web, mobile, and API testing, ensuring reusability and scalability of test assets. Automate test cases using C#, RestSharp and Selenium, progressively replacing manual testing efforts with reliable automation coverage. Ensure comprehensive testing of security, performance, and functional aspects of software modules. Document test results, logs, and identified defects using test management tools Support the analysis of quality metrics such as test coverage, automation rate, execution progress, defect trends, and test efficiency. Actively participate in design and requirements review meetings to influence testability and automation scope early in the development cycle. Adhere to and contribute to the continuous improvement of SQA standards, processes, and best practices. Skill Requirements PRIMARY SKILLS (MUST HAVE SKILLS): Working experience of performing UI, Functional, and/or Regression testing of packaged and/or custom-developed enterprise and web applications Strong Hands-on experience of test automation using C# / Java programming language Experience of automation testing using tools like Selenium, Cucumber etc. Exposure to API testing using tools like Postman/JMeter/GraphQL etc. Knowledge of Xray, Zephyr Scale or equivalent test management tool Exposure to any public cloud system (AWS, Azure, Google Cloud etc.) Demonstrated problem solving, organizational, and analytical skills Knowledge of project management tools like Jira, Confluence etc. High attention to detail and accuracy Strong Communication and interpersonal skills SECONDARY SKILLS: (GOOD TO HAVE) Experience of iOS mobile automation Understanding of client-server architecture and relational databases. Background in the US Healthcare industry and knowledge of Dicom, HL7 standards. Exposure to performance and security testing. Experience with setting up test environments. Qualifications And Education Requirements Bachelor’s or Master’s degree in Computer Science or related field from a premier technology institute

1.2-4 years exp in manual testing; preferably in Healthcare domain with Server applications testing experience Exp in SQL data base Good in Test Design and execution Good communication and interpersonal skills Go getter kind################################################################################################################################################################################################################################################################################################ Strong in test design, testing concepts and test execution 3/5Server experience is Mandate Design and create test plan and test strategy 3/5 Exposure to healthcare standards (DICOM, HL7, IHE) and regulations" Good to Have/Optional Skills

We are looking for an experienced and passionate Data Scientist with strong expertise in deep learning , medical imaging , and foundation models . This is a hands-on technical contributor role at the intersection of healthcare and artificial intelligence. You will help build transformative AI solutions to improve diagnostics, clinical workflows, and patient outcomes. Your work will focus on designing and developing cutting-edge AI/ML algorithms for tasks such as image analysis , segmentation , classification , anomaly detection , and generative modeling in Magnetic Resonance Imaging (MRI) . Project Roles and Responsibilities Key Responsibilities: Lead end-to-end development of deep learning models for medical imaging—from data curation and preprocessing to training, evaluation, and deployment. Explore and fine-tune foundation models (e.g., Vision Transformers, CLIP, BioGPT, MedSAM) for diagnostic and clinical imaging use cases. Research and prototype novel architectures for segmentation, detection, and generation (e.g., UNet variants, GANs, Autoencoders, Diffusion Models). Collaborate with cross-functional teams including radiologists, product managers, software engineers, and regulatory experts to ensure clinical accuracy, robustness, and compliance. Develop scalable ML pipelines, model interpretability tools, and performance monitoring systems. Publish research in peer-reviewed journals or conferences and represent the company at relevant scientific/industry forums. Mentor junior data scientists and promote best practices in model development, validation, and documentation. Required Qualifications: PhD or Master’s degree in Computer Science, Biomedical Engineering, Applied Mathematics, or related field. 5+ years of experience in data science or machine learning, with 3+ years in medical imaging . Strong hands-on experience with TensorFlow , PyTorch , and deep learning architectures for computer vision. Practical knowledge of foundation models , including prompt engineering, fine-tuning, and domain adaptation. Experience working with 2D/3D imaging datasets ( DICOM , NIfTI ) and medical imaging toolkits (e.g., MONAI , SimpleITK , ITK-SNAP ). Solid understanding of evaluation metrics like Dice, IoU, AUC, and experience handling imbalanced datasets. Familiarity with healthcare data compliance (HIPAA, FDA, MDR) and AI/ML lifecycle for medical devices. Excellent communication, leadership, and analytical problem-solving skills. Preferred Qualifications: Research publications or patents in healthcare AI or medical imaging. Experience with PACS/RIS systems , HL7/DICOM standards , and clinical workflows. Familiarity with LLMs or multimodal generative models in clinical settings. Exposure to MLOps , model deployment, and optimization tools such as TensorRT , ONNX , OpenVINO .

Computer Graphics Engineer Job Summary: We are seeking a talented Computer Graphics Engineer with expertise in 3D modelling and rendering to join our multidisciplinary team. Your primary responsibility will be to design, develop, and optimize high-fidelity 3D models of human anatomy using state-of-the-art graphics technologies. These models will be deployed in interactive educational platforms, simulators, and clinical visualization tools that serve doctors, educators, and students. This is a high-impact role at the intersection of medical visualization, real-time graphics, and applied healthcare innovation. Key Responsibilities: Design and develop accurate, detailed 3D anatomical models based on medical imaging data (e.g., CT/MRI scans), and clinical references. Optimize models for real-time rendering and interaction in Unity/Unreal or WebGL-based platforms. Implement shaders, visual effects, and realistic material properties to enhance anatomical realism. Collaborate with biomedical experts, UI/UX designers, and developers to ensure anatomical and clinical accuracy. Integrate models into AR/VR, simulation, or web-based learning platforms. Develop and maintain custom tools and pipelines for anatomical model generation, labelling, and manipulation. Stay updated with the latest advancements in 3D graphics, anatomical modelling, and visualization toolkits. Requirements Bachelor's or Master’s degree in Computer Science/Graphics, Game Development, Computer Science, Biomedical Engineering, or a related field. 2–5 years of experience in 3D modelling, digital sculpting, or computer graphics, preferably in medical, gaming, or scientific visualization domains. Proficiency in tools such as Blender, ZBrush, Maya, 3ds Max, or equivalent. Solid understanding of human anatomy and experience working with anatomical references or datasets. Experience with real-time rendering engines (e.g., Unity, Unreal Engine). Familiarity with file formats (FBX, OBJ, glTF, DICOM) and optimization techniques for 3D asset delivery. Strong programming/scripting skills in Python and/or C++ for tool development and workflow automation. Desirable Skills Experience with AR/VR frameworks or immersive visualization. Knowledge of medical imaging processing tools (e.g., 3D Slicer, ITK/VTK, SimpleITK). Background in physiology, biology, or medical informatics. Experience working in cross-functional teams with clinicians, educators, and designers. Understanding of regulatory and ethical standards in digital health tools. How to Apply: Interested candidates should submit a resume to hr.office@ihub-data.iiit.ac.in . Please refer to our website for more details: IHub-Data

You should have 2 to 4 years of experience in the field. Your profile should include very good hands-on experience in OOPS Concepts. Development experience in Core Java, Swing, Servlets, Hibernate, Spring is required. It would be desirable to have development experience in DB2, JNI, JAXWS, and Multi-threading. Experience in DICOM, HL7, Multi Planar Reconstruction (MPR), and 3D rendering will be a plus. Ability to document requirements & design specifications is a plus. You must possess excellent problem-solving skills along with good verbal and written communication skills. Your essential roles and responsibilities will involve designing, documenting, implementing, and refactoring software applications and components. Additionally, you will be responsible for writing requirement and design specifications, as well as interacting with client services staff to help diagnose and correct customer problems. In terms of education, you should have Graduation or higher in Computer Science or a related field.,

As a Senior Software Engineer in Application Maintenance and Support at CitiusTech, you will be part of an Agile team responsible for building healthcare applications and implementing new features while maintaining the highest coding development standards. Your primary responsibilities will include managing end customer communication, providing solutions following standard SOPs, and ensuring the day-to-day support of application systems. You will be required to identify, troubleshoot, resolve, and escalate application issues while providing support to clients in shifts, initially during US working hours across different time zones and eventually in a 24/7 rotation. Your role will also involve setting processes, ensuring timely adherence, analyzing and diagnosing root causes of complex issues related to software applications, Windows OS, SQL Server databases, and other technologies. You will be expected to log and document incidents within a ticketing system, refer incidents to the senior team when necessary, and ensure SLAs are met according to support specifications. To excel in this role, you should possess 3-5 years of relevant experience and have a strong educational background such as an Engineering Degree in BE/ME/BTECH/MTECH/B.Sc/M.Sc. Technical certifications in multiple technologies and an ITIL Certification are desirable. Mandatory technical skills for this role include experience in Application Support and Maintenance, proficiency in L1-L2 support processes within the Healthcare Domain, and expertise in application troubleshooting. You must have a good command of Linux, SQL, ITIL knowledge, and familiarity with ITSM Ticketing tools. Additionally, a good understanding of DICOM, HL7 interoperability, PACS workflows, and communication protocols is essential. It would be beneficial to have knowledge of Cloud networking and security configurations as well. Strong communication, problem-solving, decision-making skills, and a commitment to meeting SLAs are crucial for success in this role. At CitiusTech, we are committed to combining IT services, consulting, products, accelerators, and frameworks with a client-first mindset and next-gen technology understanding. Our collaborative culture, relentless pursuit of excellence, and focus on innovation in healthcare drive us to make a positive impact on human lives. Join us in reshaping the healthcare landscape and making a difference in the world. To learn more about CitiusTech and apply for this exciting opportunity, visit https://www.citiustech.com/careers. Happy applying!,

🌟 Position Overview We are hiring an experienced Python Developer with deep expertise in AI automation , workflow orchestration , and custom model development to build next-generation healthcare applications. This role is ideal for developers who love training, modifying, and deploying production-grade AI systems while navigating the challenges of compliance, data governance, and real-time performance in healthcare environments. 🧠 Key Responsibilities🤖 AI Workflow Automation & Orchestration Build intelligent automation pipelines for clinical workflows Orchestrate real-time and batch AI workflows using Airflow , Prefect , or Dagster Develop event-driven architectures and human-in-the-loop validation layers Automate data ingestion, processing, and inference pipelines for medical data 🧪 Custom AI Model Development Train custom NLP, CV, or multi-modal models for medical tasks Fine-tune open-source models for domain-specific adaptation Use transfer learning on small datasets for clinical use Build ensemble learning systems for diagnostic accuracy 🧬 Open-Source Model Adaptation Modify models from Hugging Face, Meta, or Google for medical understanding Build custom tokenizers for EMR/EHR and medical terminology Apply quantization, pruning , and other inference optimizations Develop custom loss functions , training loops , and architectural variations ⚙️ MLOps & Deployment Create training and CI/CD pipelines using MLflow, Kubeflow, or W&B Scale distributed training across multi-GPU environments (Ray/Horovod) Deploy models with FastAPI/Flask , supporting both batch and real-time inference Monitor for model drift , performance degradation, and compliance alerts 🏥 Healthcare AI Specialization Build systems for: Medical text classification & entity recognition Radiology report generation Clinical risk prediction Auto-coding & billing Real-time care alerts Ensure HIPAA compliance in all stages of model lifecycle ✅ Required Qualifications💻 Technical Skills 4–6 years of Python development 2+ years in ML/AI with deep learning frameworks (PyTorch/TensorFlow) Experience modifying open-source transformer models Strong expertise in workflow orchestration tools (Airflow, Prefect, Dagster) Hands-on with MLOps tools (MLflow, W&B, SageMaker, DVC) 🔍 Core Competencies Strong foundation in transformers , NLP , and CV Experience in distributed computing, GPU programming, and model compression Ability to explain and interpret model decisions (XAI, SHAP, LIME) Familiarity with containerized deployments (Docker, K8s) 🧰 Technical Stack Languages : Python 3.9+, CUDA ML Frameworks : PyTorch, TensorFlow, Hugging Face, ONNX Workflow Tools : Airflow, Prefect, Dagster MLOps : MLflow, Weights & Biases, SageMaker Infra : AWS, Kubernetes, GPU Clusters Data : Spark, Dask, Pandas Databases : PostgreSQL, MongoDB, Delta Lake, S3 Versioning : Git, DVC 🌟 Preferred Qualifications Healthcare experience (EHR, medical NLP, radiology, DICOM, FHIR) Knowledge of federated learning , differential privacy , and AutoML Experience with multi-modal , multi-task , or edge model deployment Contributions to open-source projects , or research publications Knowledge of explainable AI and responsible ML practices 🎯 Key Projects You'll Work On Real-time clinical documentation automation Custom NER models for ICD/CPT tagging LLM adaptation for medical conversation understanding Real-time risk stratification pipelines for hospitals 🎁 What We Offer Comprehensive health, plans Flexible work options (remote/hybrid) with quarterly in-person meetups 📤 Application Requirements Resume with ML/AI experience GitHub or portfolio links (model code, notebooks, demos) Cover letter describing your AI workflow or custom model build Code samples (open-source or private repos) Optional: Research papers, Kaggle profile, open challenges 🧪 Interview Process Initial HR screening (30 mins) Take-home Python + ML coding challenge Technical ML/AI deep-dive (90 mins) Model training/modification practical (2 hrs) System design for ML pipeline (60 mins) Presentation or walkthrough of past AI work (45 mins) Culture fit + final discussion References + offer 🏥 About the Role You will help build AI that doesn’t just analyze data — it augments clinical decisions , automates medical documentation, and assists doctors in real-time. This role will impact thousands of patients and redefine how AI powers healthcare. Aarna Tech Consultants Pvt. Ltd. (Atcuality) is an equal opportunity employer. We believe in diversity, ethics, and inclusive AI systems for healthcare.

🌟 Position Overview We’re seeking a skilled Backend Developer with 3–5 years of experience , including at least 2+ years in Golang , to help us build the infrastructure behind the next wave of AI-powered digital products. If you’re passionate about secure APIs, resilient microservices, and large-scale distributed systems — and want your work to impact healthcare, crypto, and automation — this is your moment. This position is based in Jamshedpur , with hybrid flexibility. 🛠️ Key Responsibilities📐 Development & Architecture Design, develop, and maintain RESTful APIs and Golang microservices Build scalable, event-driven backend systems handling high-throughput traffic Work with PostgreSQL, Redis, MongoDB to design efficient data schemas and optimize queries Integrate secure data pipelines for healthcare and financial data Implement event queues and pub/sub systems using Kafka, RabbitMQ, or NATS Participate in architectural discussions and backend design decisions 🔒 Security & Compliance Implement HIPAA-compliant practices across code and infrastructure Encrypt sensitive data in transit and at rest using industry best practices Build secure auth flows using OAuth 2.0/OpenID Connect Ensure audit logging, access control , and data anonymization Maintain PHI security and HITRUST standards where applicable 🧠 Technical Excellence Write clean, idiomatic, and well-documented Golang code Create comprehensive unit, integration, and load tests Debug and optimize performance bottlenecks in distributed systems Use tools like pprof, Grafana, Prometheus , and OpenTelemetry for profiling and observability Own and maintain CI/CD pipelines (Jenkins, GitHub Actions, etc.) 🤝 Collaboration & Leadership Work closely with frontend teams to align API design and usability Collaborate with DevOps and SRE teams on cloud infrastructure and deployment Contribute to internal documentation, tech specs, and API contracts (Swagger/OpenAPI) Mentor junior engineers on Golang patterns , performance tuning, and cloud-native practices Participate in incident response rotations and root cause analysis ✅ Required Qualifications🧩 Technical Skills 3–5 years of backend development experience, including: 2+ years of production-grade Golang Strong SQL experience with PostgreSQL or MySQL Familiarity with NoSQL (MongoDB, Redis, DynamoDB) REST API development and microservices architecture Experience using Docker, Git, and containerized workflows 🧠 Core Competencies Understanding of concurrency, goroutines, channels , and memory management Familiarity with testing frameworks (testify, gomock, go test) Comfort with distributed systems and network protocols Working knowledge of Kubernetes , service discovery, and cloud infra (AWS/GCP) Experience with event-driven design patterns and queuing systems 💎 Preferred Qualifications Experience in healthcare software development Knowledge of HIPAA , HITRUST , and clinical workflows Familiarity with healthcare standards like FHIR, HL7, DICOM, ICD-10 Knowledge of GraphQL , gRPC , and service mesh patterns Experience with Terraform , CloudFormation , or IaC tools Performance profiling using pprof , flame graphs, or metrics-based tuning Contributions to open-source Golang projects or libraries 🧰 Technical Environment Languages : Golang 1.21+, SQL Databases : PostgreSQL, Redis, MongoDB Message Queues : Kafka, RabbitMQ, NATS Cloud Platforms : AWS, GCP, Azure CI/CD : GitHub Actions, GitLab CI, Jenkins Monitoring/Observability : Prometheus, Grafana, ELK Stack Containerization : Docker, Kubernetes API Documentation : Swagger, OpenAPI, Postman 🧑‍💻 About Aarna Tech Consultants Pvt. Ltd. (Atcuality) We’re a fastest-growing AI-native company in India , focused on building intelligent, scalable platforms that transform critical industries like healthcare, finance, and digital commerce. We build systems that: Power AI-native EHRs and clinical automation Drive crypto market intelligence and algorithmic trading tools Enable multi-agent orchestration and composable AI backends Support prompt-based full-stack app development environments If you work with Clade Code, Gemini CLI, or ChatGPT to code faster, better, and with more insight — you’ll thrive here. 🎁 What We Offer Competitive salary + stock options Modern tech stack and mentorship from AI + infra experts Flexible work model (Jamshedpur + hybrid) Learning budgets, conference passes, and online certifications Health, dental, and wellness programs High-impact work on real-world systems that matter A fast-paced, startup-style engineering culture 📤 Application Requirements Please email the following to 📧 career@atcuality.com : Updated resume (highlight Golang & backend systems experience) GitHub or portfolio links showcasing backend projects Short cover letter or AI-generated pitch about your backend journey Code samples (optional but preferred) 🧪 Interview Process Initial screening call (30 mins) Take-home Golang challenge or live coding Technical round (Go, DB, systems) – 90 mins Architecture and system design interview (60 mins) Team/cultural fit interview (45 mins) Final reference check + offer 🎉 We’re not just building APIs — we're shaping the digital backbone of AI-powered healthcare and fintech systems . Join us and build what the world will need tomorrow. Aarna Tech Consultants Pvt. Ltd. is an equal opportunity employer. We welcome applications from candidates of all backgrounds and experiences.

🌟 Position Overview We’re looking for a Frontend Developer with 2–4 years of professional experience in React, Next.js, and TypeScript who thrives in fast-paced, innovation-driven environments. If you love building clean, performant user interfaces and want to work on AI-native systems like intelligent EHRs, crypto analysis tools, and collaborative coding platforms — you're exactly who we need. This role is based in Jamshedpur , with flexibility for hybrid options. 🛠️ Key Responsibilities📱 Development & Implementation Build dynamic, scalable UIs using React 18+, Next.js 14+, and TypeScript 5+ Translate Figma/mockups into pixel-perfect responsive designs Implement SSR and SSG strategies with Next.js Create reusable component libraries and style systems Optimize frontend performance across browsers and devices 🧠 Technical Excellence Write clean, typed, modular TypeScript code Conduct code reviews and mentor junior team members Implement unit/integration testing using Jest, Cypress, or Playwright Follow WCAG accessibility standards Debug cross-browser issues with grace and grit 🤝 Collaboration & Communication Work with AI/Backend teams to integrate REST APIs and GraphQL endpoints Collaborate closely with designers and product owners Participate in agile ceremonies (sprints, standups, retrospectives) Help shape and scale our frontend architecture Communicate clearly across technical and non-technical stakeholders ✅ Required Qualifications🧩 Technical Skills 2–4 years of hands-on experience with: React.js (hooks, context, component lifecycle) Next.js (routing, API routes, SSR/SSG) Advanced TypeScript (generics, interfaces, types) CSS-in-JS or Tailwind CSS State management: Redux Toolkit, Zustand, Context API Version control (Git) and Git-based collaboration Experience with modern frontend tooling: Webpack, Turbopack, Vite Solid understanding of SEO, performance optimization, and responsive design 🧠 Bonus Skills Experience with: Clade Code, Gemini CLI, ChatGPT/Gemini for Vibe Coding GraphQL & Apollo Client Framer Motion, React Spring (for smooth animations) Storybook or similar design systems CI/CD (GitHub Actions, Vercel, Netlify, AWS) Micro-frontend architecture Realtime web (WebSockets, Pusher) 🩺 Preferred Experience (Healthcare Focused) Experience working with healthcare data workflows Familiarity with HIPAA, PHI handling , and HITRUST CSF Understanding of FHIR/HL7/DICOM standards Built apps with secure login/auth using OAuth/JWT in healthcare 🧑‍💻 About Aarna Tech Consultants Pvt. Ltd. (Atcuality) We are one of the fastest-growing AI-native companies in India , building the next generation of digital systems that empower healthcare, finance, and enterprise automation. Our flagship initiatives include: Next-gen EHR systems (HIPAA & FHIR compliant) AI-powered crypto trading & analytics tools Multi-agent orchestration platforms for business automation “Vibe Coding” tools using multi-modal AI (Claude, Gemini, GPT) AutoDev.ai – autonomous AI development workspace LLM deployment, cloud-native infra, and zero-code app creation tools At Atcuality, we believe in young, curious minds who code with AI and dream in prompts. If you live and breathe React, and also tinker with ChatGPT + CLI tools during lunch breaks — you’ll feel at home. 🎁 What We Offer Competitive salary with performance bonuses Stock options and long-term incentives Hybrid work setup (base in Jamshedpur , remote flexibility) Access to AI development environments & GPU infra Paid certifications, conference budgets, and learning tools A chance to shape the future of intelligent software systems 📤 Application Process Please submit the following to 📧 career@atcuality.com : Updated resume (React/Next.js/TypeScript experience highlighted) Portfolio or GitHub profile with code samples Brief cover letter or AI-generated pitch Project links or demos of live UIs 🧪 Interview Process Screening call (30 mins – culture + intent) Technical assignment or take-home challenge Technical deep dive (React/Next/TS – 60 mins) System design round (Next.js + architecture – 45 mins) Founder/Manager call (vision alignment – 45 mins) Reference check + offer Important Note : We expect all developers to be comfortable using tools like Clade Code, ChatGPT, Gemini CLI, or Claude as part of their daily coding and debugging workflows. This is not just a React job — this is the future of AI-powered engineering. Apply now — and let's build what tomorrow needs.

As a Senior Engineer/Lead, you will be responsible for designing, developing, and maintaining Windows desktop applications using C/C++, Win32 API, and VC++/MFC. You will collaborate closely with cross-functional teams to gather requirements, troubleshoot issues, and deliver high-quality software solutions. Your role will also involve optimizing and refactoring legacy code to enhance performance and maintainability. Participating in code reviews, contributing to best practices for software development, and writing/maintaining documentation including requirement and design specifications will be essential aspects of your responsibilities. Additionally, you will work alongside QA and product teams to ensure the delivery of high-quality software solutions. The ideal candidate for this role should possess 5 to 10 years of experience in C++ development with a strong background in Windows programming using C/C++, Win32 API, and MFC. Experience in the healthcare domain and familiarity with DICOM standards and workflows would be advantageous. Proficiency in C and C++/11/7/20 programming, debugging tools, object-oriented programming, design patterns, memory management, and performance tuning of Windows applications is required. A solid understanding of software life cycle, architecture, data structures, and algorithms is essential. Knowledge of COM development, secure coding practices, Dot Net framework (C#, WPF, etc.), and awareness of security vulnerabilities are beneficial. The successful candidate should be capable of working independently and as part of a team in a fast-paced environment. Strong communication and collaboration skills are vital for this role. If you possess excellent analytical and problem-solving abilities along with a passion for software development, this position offers an exciting opportunity to contribute to the development of cutting-edge Windows desktop applications.,

As a Deep Learning and Computer Vision Engineer at Sciverse Solutions Pvt. Ltd., you will be an integral part of the core AI team responsible for designing, training, and deploying models for various applications in the field of microscopy image analysis, diagnostic automation, and embedded vision systems. Your contribution will also involve exploring vision-language models (VLMs) to enhance structured report generation capabilities. Your primary responsibilities will include developing and training deep learning models for tasks such as object detection, segmentation, classification, and metric learning using real-world biomedical and diagnostic datasets. You will work on optimizing models for embedded and edge inference, collaborating with firmware and software teams for seamless deployment, and building scalable vision pipelines for tasks like cell counting and morphology estimation. Additionally, you will have the opportunity to experiment with transformer-based models and VLMs for microscopy captioning and report generation. Collaboration with cross-functional teams, staying updated with the latest advancements in vision and multimodal AI, and possessing a strong foundation in deep learning are essential for success in this role. Must-have skills for this position include a strong understanding of deep learning concepts, experience with image classification and segmentation, proficiency in PyTorch and optionally TensorFlow, and hands-on experience with model deployment and optimization tools. Strong debugging and visualization skills, familiarity with medical imaging formats, and exposure to MLOps tools are considered advantageous. The ideal candidate for this role is a self-starter with a strong sense of ownership, passionate about leveraging AI to solve real-world healthcare challenges, and thrives in an agile, research-to-product environment. By joining Sciverse, you will have the opportunity to work on mission-driven healthcare technology, solve unique AI and vision challenges, and be part of a fast-growing, engineering-driven team. If you are excited about making a meaningful impact in the healthcare industry through cutting-edge technology, we encourage you to apply by emailing your CV, portfolio (if any), and a brief statement outlining your enthusiasm for this role to info@sciverse.co.in.,

India LOCATION Kochi, Kerala WORK LOCATION TYPE On-site DATE POSTED 2025-07-18 CATEGORY Engineer Job Summary: We are seeking a highly motivated and results-driven Specialist Engineer (MRI – Wipro GE) to join our team. The MRI Specialist Engineer is responsible for the installation, calibration, maintenance, and repair of MRI systems. Job description Key Responsibilities: Assist in the installation and site preparation of MRI systems. Perform system calibration and functional testing during installation. Ensure proper integration with PACS and hospital networks Perform scheduled preventive maintenance per specifications. Diagnose and repair system faults, RF issues, gradient coil problems, and software errors. Maintain detailed service logs and ensure minimal downtime. Provide real-time technical support to radiographers, radiologists, and clinical staff. Guide users on proper system usage and minor troubleshooting. Ensure MRI safety standards (RF shielding, cryogen levels, magnet quench protocol) are followed. Monitor image quality performance and calibrate systems for optimal diagnostics Skills Required In-depth understanding of MRI physics, software platforms, DICOM, and imaging protocols. Experience with MRI QA tools, RF shielding, and room site planning. Strong analytical and problem-solving abilities. Adaptability Team Work Good communication Skills Proficiency in MS Excel & Computer Data Management Willingness to Travel Requirements 4–5 years of experience in MRI maintenance Familiarity with GE MRI system No of Positions: 1

Date Opened 07/31/2025 Job Type Full time Industry Research & Development Work Experience 4-5 years Salary 3-5 LPA City Mohali State/Province Punjab Country India Zip/Postal Code 160055 We are looking for a skilled and analytical Data Scientist to join our onsite team in Mohali. This role requires proven experience in applying data science and machine learning techniques to solve real-world problems, with a strong emphasis on medical imaging, predictive modeling, and unstructured data processing. The ideal candidate will work on developing intelligent AI-driven systems by analyzing complex datasets, building scalable models, and generating actionable insights to support critical decision-making across domains like healthcare, aviation, fintech and enterprise operations. Responsibilities: Data Analysis & Feature Engineering: Collect, clean, and transform structured and unstructured datasets. Perform feature engineering and exploratory data analysis to derive meaningful insights. Model Development: Build and deploy machine learning models for classification, regression, clustering, and anomaly detection using libraries such as scikit-learn, PyTorch, and TensorFlow. Medical Imaging: Apply computer vision and deep learning methods for processing DICOM and NIfTI imaging data, using tools like MONAI, TotalSegmentator, and nnU-Net. NLP & Unstructured Data: Implement natural language processing techniques for extracting insights from clinical texts, EMRs, and other unstructured data sources. Data Visualization: Communicate results through dashboards and visualizations using tools such as Tableau, Plotly, or Power BI. AI Integration: Collaborate with engineering and product teams to integrate AI modules into full-stack applications and real-time systems. Experimentation: Design, run, and analyze A/B tests and other experimental frameworks to evaluate model and product effectiveness. Model Monitoring: Monitor model performance post-deployment, retrain models when needed, and maintain ML pipelines using versioning and tracking tools like MLflow or DVC. Solution Design: Propose data-driven strategies and solutions to business challenges through quantitative modeling and forecasting. Continuous Learning: Stay updated with the latest trends in AI, machine learning, and data science, and apply new techniques to production workflows. Medical Ima ging Knowledge: Experience working with medical datasets (CT, MRI, X-ray), understanding of imaging formats (DICOM/ NIfTI), nanonet and use of medical imaging libraries. (Optional skill) Experience : 2-5 years (data science or ML engineering role) Qualification : Bachelor’s or Master’s degree in Computer Science Interested candidates apply now:

System Administrator Job Description We aim to bring about a new paradigm in medical image diagnostics; providing intelligent, holistic, ethical, explainable and patient centric care. We are looking for innovative problem solvers who love solving problems. We want people who can empathize with the consumer, understand business problems, and design and deliver intelligent products. We are looking for a System Administrator to manage and optimize our on-premise and cloud infrastructure, ensuring reliability, security, and scalability for high-throughput AI workloads. As a System Administrator, you will be responsible for managing servers, storage, network, and compute infrastructure powering our AI development and deployment pipelines. You will ensure seamless handling of large medical imaging datasets (DICOM/NIfTI), maintain high availability for research and production systems Key Responsibilities Infrastructure & Systems Management Manage Linux-based servers, GPU clusters, and network storage for AI training and inference workloads. Configure and maintain message queue systems (RabbitMQ, ActiveMQ, Kafka) for large-scale, asynchronous AI pipeline execution. Set up and maintain service beacons and health checks to proactively monitor the state of critical services (XNAT pipelines, FastAPI endpoints, AI model inference servers). Maintain PACS integration, DICOM routing, and high-throughput data transfer for medical imaging workflows. Manage hybrid infrastructure (on-prem + cloud) including auto-scaling compute for large training tasks. Service Monitoring & Reliability Implement automated service checking for all production and development services using Prometheus, Grafana, or similar tools. Configure beacon agents to trigger alerts and self-healing scripts for service restarts when anomalies are detected. Set up log aggregation and anomaly detection to catch failures in AI processing pipelines early. Ensure 99.9% uptime for mission-critical systems and clinical services. Security & Compliance Enforce secure access control (IAM, VPN, RBAC, MFA) and maintain audit trails for all system activities. Ensure compliance with HIPAA, GDPR, ISO 27001 for medical data storage and transfer. Encrypt medical imaging data (DICOM/NIfTI) at rest and in transit. Automation & DevOps Develop automation scripts for service restarts, scaling GPU resources, and pipeline deployments. Work with DevOps teams to integrate infrastructure monitoring with CI/CD pipelines. Optimize AI pipeline orchestration with MQ-based task handling for scalable performance. Backup, Disaster Recovery & High Availability Manage data backup policies for medical datasets, AI model artifacts, and PostgreSQL/MongoDB databases. Implement failover systems for MQ brokers and imaging data services to ensure uninterrupted AI processing. Collaboration & Support Work closely with AI engineers and data scientists to optimize compute resource utilization. Support teams in troubleshooting infrastructure and service issues. Maintain license servers and specialized imaging software environments. Skills and Qualifications Required: 3+ years of Linux systems administration experience with a focus on service monitoring and high-availability environments. Experience with message queues (RabbitMQ, ActiveMQ, Kafka) for distributed AI workloads. Familiarity with beacons, service health monitoring, self-healing automation. Experience managing GPU clusters (NVIDIA CUDA, drivers, dockerized AI workflows). Hands-on with cloud platforms (AWS, GCP, Azure). Networking fundamentals (firewalls, VPNs, load balancers). Hands-on experience with GPU-enabled servers (NVIDIA CUDA, drivers, dockerized AI workflows). Experience managing large datasets (100GB–TB scale), preferably in healthcare or scientific research. Familiarity with cloud platforms (AWS EC2, S3, EKS or equivalents). Knowledge of cybersecurity best practices and compliance frameworks (HIPAA, ISO 27001). Preferred: Experience with PACS, XNAT, or medical imaging servers. Familiarity with Prometheus, Grafana, ELK stack, SaltStack beacons, or similar monitoring tools. Knowledge of Kubernetes or Docker Swarm for container orchestration. Basic scripting knowledge (Bash, Python) for task automation. Exposure to database administration (PostgreSQL, MongoDB). Scripting skills (Bash, Python, PowerShell) for automation and troubleshooting. Understanding of databases (PostgreSQL, MongoDB) used in AI pipelines. Education: BE/B Tech, MS/M Tech (will be a bonus) Experience: 3-5 Years Job Type: Full-time Work Location: In person

Job Title-UI-UX Developer - Medical Device SoftwarePosition OverviewWe are seeking a Senior UI/UX Developer to design and develop the user interface for a surgical robotics application. This role requires creating intuitive, safe, and compliant interfaces that surgeons will use in high-stakes operating room environments.Technical Core RequirementsEssential Skills (Must-Have)UI Development Technologies:WPF (Windows Presentation Foundation): 4+ years advanced experience XAML markup and styling Custom controls and user controls Data binding and MVVM pattern Dependency properties and attached properties WPF animation and transitionsC#.NET: 4+ years’ experience with UI layer developmentMVVM Architecture: Deep understanding of Model-View-View Model patternData Binding: Complex binding scenarios, value converters, multi-bindingDesign Styling:XAML Styling: Custom themes, control templates, resource dictionaries Vector Graphics: Creating and implementing medical icons and symbols Color Theory: Understanding of medical interface color standards Typography: Readable fonts for medical environmentsResponsive Design: Adaptable layouts for different screen sizesMedical Interface Specific: Touch Interface Design: Large touch targets, gesture support High-Contrast Design: Visibility in various lighting conditions Error State Design: Clear error messaging and recovery paths Status Indication: Real-time system status visualization Accessibility Standards: ADA compliance, keyboard navigationPreferred Skills (Nice-to-Have)Advanced WPF Technologies:Custom Control Development: Building reusable medical UI components3DIntegration: Embedding 3D viewports(VTK) within WPF layoutsMulti-monitor Support: Handling multiple displays in surgical environments Hardware Integration: Touch screens, specialized medical input devices Performance Optimization: UI virtualization, efficient renderingDesign Tools:Figma/Sketch/Adobe XD: Prototyping and design collaborationIllustrator: Creating medical icons and vector assets After Effects: Motion graphics for UI animations Blend for Visual Studio: XAML design toolsMedical Software Experience: Medical Device UI Standards: IEC 62366-1 (usability engineering) Surgical Workflow Understanding: OR environment constraints Medical Imaging Interfaces: DICOM viewer experience Alarm Management: IEC 60601-1-8 alarm standards Sterilizable Interface Design: Cleanable surfaces, sealed designsExperience RequirementsProfessional Experience: 2-3 years total UI/UX development experience 2+ years WPF application development 1+year medical device or healthcare software experience Experience with mission-critical applications (healthcare, aerospace, industrial) Real-time application interfaces with low-latency requirementsProject Portfolio: Complex WPF Applications: Multi-window, data-intensive interfaces Medical/Healthcare Interfaces: Patient safety-critical applications Touch-First Interfaces: Tablet or kiosk applications 3DIntegration Projects: Embedding 3D content in 2D interfaces Regulatory Compliance Projects: FDA, CE marking experienceMedical Device Domain KnowledgeRegulatory Compliance:IEC 62366-1: Usability engineering for medical devicesIEC 62304: Medical device software lifecycle (UI aspects)FDA Human Factors Guidance: Medical device interface requirements ISO 14971: Risk management for medical device interfaces IEC 60601-1-8: Alarm systems in medical electrical equipmentMedical Environment Understanding: Sterile Field Awareness: Interface design for sterile environments Surgical Workflow: Understanding of OR procedures and timing Emergency Procedures: Fail-safe interface design Multi-user Scenarios: Surgeon, nurse, technician interface needs Stress Testing: Interface usability under high-pressure situationsHealthcare Software Standards: HIPAA Compliance: Patient data privacy in UI design Cybersecurity: Secure interface design principles Interoperability: HL7, DICOM integration considerations Validation Requirements: UI testing for medical devicesSpecific UI/UX CapabilitiesMedical Interface Design: Alarm Prioritization: Visual hierarchy for critical alerts Status Dashboards: Real-time system monitoring interfaces Error Recovery Design: Clear paths to resolve system issues Confirmation Dialogs: Multi-step verification for critical actions Progress Indicators: Long-running operation feedbackSurgical Application Specific: 3DModel Interaction: Controls for rotating, zooming, cross-sectioning Robot Control Interfaces: Intuitive robotic movement controls Patient Data Integration: Seamless display of patient information Imaging Integration: CT/MRI data visualization interfaces Procedure Planning: Step-by-step surgical workflow interfacesUsability Engineering: User Research: Conducting studies with medical professionals Heuristic Evaluation: Medical interface usability assessment Task Analysis: Breaking down surgical procedures into UI requirements Prototype Testing: Rapid iteration with medical users Accessibility Testing: Ensuring compliance with medical accessibility standardsTechnical SpecificationsPerformance Requirements: Real-time Responsiveness: Memory Efficiency: Optimal resource usage for long procedures Multi-threading: Non-blocking UI for background operations Error Handling: Graceful degradation and recoveryIntegration Requirements: VTK 3D Integration: Embedding 3D visualizations in WPF Hardware Integration: Medical devices, robotic controllers Database Connectivity: Patient data and surgical records Network Communication: Real-time data updatesSample DeliverablesDesign Artifacts: User Journey Maps: Complete surgical procedure workflows Wireframes: Low-fidelity interface layouts High-Fidelity Mockups: Pixel-perfect UI designs Interactive Prototypes: Clickable interface demonstrations Style Guides: Medical interface design standardsDevelopment Artifacts: Custom WPF Controls: Reusable medical UI components XAML Templates: Consistent styling across application Animation Libraries: Smooth transitions and feedback Validation Framework: Input validation for medical data Accessibility Implementation: Screen reader and keyboard supportTeam CollaborationCross-Functional Work: Clinical Team: Working directly with surgeons and OR staff 3DVisualization Team: Integrating VTK components QA Team: Usability testing and validation Regulatory Team: Ensuring compliance documentation Product Management: Translating requirements into designsDocumentation Requirements:Design Rationale: Justification for UI decisionsUsability Testing Reports: Evidence of user validationInterface Specifications: Detailed technical documentationRisk Analysis: UI-related risk assessmentsChange Control: Managing UI updates in regulated environment

Job Title- Software Engineer - Medical Device (3D Visualization). Core Technical Requirements Essential Skills (Must-Have) Programming Languages: C#(Advanced) :5+ years experience with WPF, MVVM pattern, data binding C++ (Intermediate to Advanced) : VTK is primarily C++, understanding memory management, pointers Python (Basic to Intermediate) : VTK prototyping and scripting .NET Framework/Core : Deep understanding of .NET ecosystem 3D Graphics & Visualization: VTK (Visualization Toolkit) : 2+ years hands-on experience VTK pipeline architecture Filters, mappers, and actors Volume rendering and surface extraction Custom filter development OpenGL/DirectX : Understanding of graphics pipeline, shaders, rendering concepts 3D Mathematics : Linear algebra, transformations, coordinate systems, quaternions Computer Graphics Fundamentals : Lighting models, texturing, ray-casting Medical Imaging: DICOM Standards : Understanding of medicalimaging formats Medical Image Processing : CT/MRI data handling, segmentation, reconstruction 3DReconstruction : From 2D slicesto 3D models Image Registration : Coordinate system alignment Preferred Skills (Nice-to-Have) Advanced 3D Technologies: ITK (Insight Toolkit) : Medical image analysis Unity 3D or Unreal Engine : Game engine integration experience PCL (Point Cloud Library) : 3D point cloud processing CGAL : Computational geometry algorithms Medical Device Experience: IEC 62304 : Medical device softwarelifecycle processes FDA 510(k) Process : Understanding of regulatory requirements ISO 13485 : Quality management for medical devices Risk Management (ISO 14971) : Medical device risk analysis Additional Technical Skills: Real-time Systems : Low-latency, deterministic performance Multi-threading : Parallel processing for 3D rendering GPU Programming : CUDA, OpenCL for accelerated computing Database Integration : Medical data storageand retrieval Network Programming : Robot communication protocols Version Control : Git, branching strategies for medical software Experience Requirements Professional Experience: 2-3 years in medical device software development 1+years working with 3D visualization libraries(VTK, ITK, or similar) Experience with regulated industries (medical, aerospace, automotive) Project Experience: Medical imaging applications : PACS, DICOM viewers, surgicalplanning Real-time 3D applications : Interactive visualization, CAD systems Cross-platform development : Windows,potentially Linux Performance optimization : Memory management, renderingoptimization Integration projects : Combining multiple librariesand frameworks Domain Knowledge Medical/Healthcare: Orthopedic surgery understanding : Basic knowledgeof procedures, anatomy Surgical robotics : Understanding of roboticsurgery workflow Medical imaging modalities : CT, MRI, X-ray, ultrasound Surgical planning software : Experience with existing medicalsoftware Regulatory & Compliance: Software validation : Testing strategies for medical devices Documentation standards : Requirements traceability, design controls Change control processes : Managing updatesin regulated environments Cybersecurity for medical devices : FDA cybersecurity guidance Soft Skills & Attributes Critical Thinking: Problem-solving : Complex 3D visualization challenges Attention to detail : Medical accuracyrequirements Analytical mindset : Performance optimization, debuggingcomplex 3D issues Communication: Technical documentation : Clear, comprehensive technicalwriting Cross-functional collaboration : Workingwith surgeons, productmanagers, QA Code reviews : Mentoring junior developers, maintaining code quality Medical Device Mindset: Quality-focused : Understanding that bugs can impact patientsafety Process-oriented : Following established procedures and protocols Continuous learning : Staying updated with medical technology advances Educational Background Preferred Degrees: Computer Science with focus on computer graphics/visualization Biomedical Engineering with software development experience Electrical Engineering with medical device experience Mathematics/Physics with strong programming background Certifications (Preferred): Medical Device Software Training (IEC 62304, FDA) VTK/ITK Certification (if available) Microsoft Certified (.NET, C#) Agile/Scrum Certification for development methodology

Job SummaryWe are looking for a skilled and detail-oriented C# Automation Tester to join our team in developing, enhancing, and maintaining software solutions for the medical and healthcare industry. The ideal candidate will have experience working on healthcare applications, understand medical data standards (e.g., HL7, FHIR), and possess a solid foundation in C#/.NET Automation.Key ResponsibilitiesTest and maintain efficient, reusable, and reliable C# code for medical software applications.Work with business analysts and domain experts to translate functional requirements into robust software solutions.Integrate third-party APIs, medical devices, and HL7/FHIR-based interfaces into software systems.Ensure the application meets regulatory standards such as HIPAA, GDPR, and FDA guidelines.Collaborate with cross-functional teams including QA, DevOps, and UI/UX for end-to-end product delivery.Optimize application performance and ensure high responsiveness and availability.Troubleshoot, debug, and upgrade existing systems as required.Maintain proper documentation of code, architecture, and workflows.Technical Skills RequiredStrong proficiency in C#, .NET Core / .NET Framework, and Visual Studio.Experience with SQL Server or other relational databases.Familiarity with Web APIs, RESTful services, and third-party API integrations.Working knowledge of FHIR, HL7, DICOM, or other healthcare data standards.Understanding of secure coding practices and data privacy compliance (HIPAA/GDPR).Version control experience using Git, Azure DevOps, or similar tools.Preferred QualificationsExperience in medical device integration or healthcare IT systems (EMR/EHR/LIS/RIS/PACS).Familiarity with cloud platforms (Azure/AWS) and CI/CD pipelines.Understanding of Agile/Scrum methodologies.Educational QualificationsBachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.Must-Have RequirementsMinimum 3 years of hands-on experience in C#/.NET Automation.Experience working in the healthcare/medical software domain with knowledge of HL7 or FHIR.Strong understanding of data privacy and regulatory compliance in medical applications (e.g., HIPAA/GDPR).##################################################################################################################################################################################################################3 Must have skills: C# & Specflow 4/ API Automation using RestAssured 3/ BDD framework 3/9

We are looking for talented individuals to join our development team and contribute to building robust and efficient solutions. The available profiles are as follows: Lead Full Stack Developer: - Experience: You should have 10+ years of experience in application development and architecture. - Core Skills: Proficiency in Ruby on Rails, cloud deployment (preferably Azure), and GitHub-based DevOps is required. - Bonus Skills: Experience with Go and familiarity with healthcare data standards such as HL7 and DICOM would be a plus. Mid-Level Full Stack Developer: - Experience: You should have at least 5 years of experience in full-stack application development. - Core Skills: Proficiency in Ruby on Rails, GitHub Actions CI/CD, Postgres, and working in cloud environments is essential. - Bonus Skills: Exposure to Go, Sentry, or healthcare tech integrations is advantageous. QA / Software Tester: - Experience: You should have a minimum of 2 years of experience in software quality assurance. - Core Skills: Proficiency in testing in active/agile development cycles, regression testing, and bug reporting is necessary. - Bonus Skills: Familiarity with automated testing tools or healthcare applications would be beneficial. Why Join Us - Opportunity to work on cutting-edge technology in the healthcare and imaging domain. - Work in a cloud-native environment leveraging Azure. - Be part of a collaborative and innovative team culture. - Competitive compensation and benefits package. If you are enthusiastic about working with us and contributing to exciting projects in the healthcare and imaging sector, apply now or reach out to us for more information!,

You will be responsible for the high level and low level design implementation of features and bug-fixing, ensuring delivery adheres to coding and quality guidelines. It will be your duty to identify and implement tests to guarantee the solution meets customer requirements without impacting the installed base. You will conduct code reviews, offer documentation inputs, and ensure delivery aligns with organizational and project quality processes. Additionally, you will serve as the main point of contact for all matters related to the Embedded Subsystem and should be capable of leading the component team. To excel in this role, you should possess at least 12 years of hands-on development experience and have a strong command of C/C++ programming. A minimum of 5 years of experience in embedded software development for medical devices is required, along with working knowledge of C#. You must be adept at designing and implementing object-oriented software in PC and embedded programming languages such as C#, C, and C++. Experience with control systems, particularly in medical or industrial settings, and state machine-based implementation is essential. Familiarity with real-time operating systems like VxWorks (preferred), QNX, or others, as well as the Rhapsody Tool, is preferred. Strong communication skills, fluency in English (both written and spoken), and knowledge of DICOM and the medical domain are advantageous for this role.,

India LOCATION Kochi, Kerala WORK LOCATION TYPE On-site DATE POSTED 2025-07-18 CATEGORY Engineer Job Summary: We are seeking a highly motivated and results-driven Specialist Engineer (MRI – Wipro GE) to join our team. The MRI Specialist Engineer is responsible for the installation, calibration, maintenance, and repair of MRI systems. Job description Key Responsibilities: Assist in the installation and site preparation of MRI systems. Perform system calibration and functional testing during installation. Ensure proper integration with PACS and hospital networks Perform scheduled preventive maintenance per specifications. Diagnose and repair system faults, RF issues, gradient coil problems, and software errors. Maintain detailed service logs and ensure minimal downtime. Provide real-time technical support to radiographers, radiologists, and clinical staff. Guide users on proper system usage and minor troubleshooting. Ensure MRI safety standards (RF shielding, cryogen levels, magnet quench protocol) are followed. Monitor image quality performance and calibrate systems for optimal diagnostics Skills Required In-depth understanding of MRI physics, software platforms, DICOM, and imaging protocols. Experience with MRI QA tools, RF shielding, and room site planning. Strong analytical and problem-solving abilities. Adaptability Team Work Good communication Skills Proficiency in MS Excel & Computer Data Management Willingness to Travel Requirements 4–5 years of experience in MRI maintenance Familiarity with GE MRI system No of Positions: 1

As a Developer Support Engineer, you will be responsible for designing and deploying microservices using C# and Azure Service Fabric. Your role will involve implementing Healthcare APIs such as FHIR and DICOM, ensuring compliance with healthcare standards. Additionally, you will create CI/CD pipelines using YAML and Azure DevOps and set up real-time metrics using Azure Monitor, Application Insights, or Geneva Monitoring. Developing dashboards using Geneva Monitoring to visualize system performance and health will also be a key part of your responsibilities. Ensuring security and compliance (HIPAA, GDPR) across all cloud-based solutions and troubleshooting and optimizing Azure Service Fabric clusters for scalability and performance are crucial aspects of the role. To qualify for this position, you should have at least 5 years of experience in C# development and a minimum of 3 years of experience with Azure Service Fabric and microservices architecture. Hands-on experience in developing code, fixing bugs, providing support, and managing tickets, as well as interacting with customers, will be beneficial for this role.,

Siemens Healthineers is a leading global medical technology company with over 170 years of experience and 18,000 patents. With a dedicated team of more than 48,000 colleagues in over 70 countries, we are committed to shaping the future of healthcare and supporting our customers in delivering high-quality care to patients worldwide. Our innovative technologies and services in diagnostic and therapeutic imaging, laboratory diagnostics, molecular medicine, digital health, and enterprise services benefit an estimated 5 million patients every day. At Siemens Healthineers, our focus is on enabling healthcare professionals to deliver exceptional patient care affordably. As a Senior Software Engineer at Siemens Healthineers, you will have the opportunity to be part of the SAFE Agile release trains for the Scanner product lines. In this role, you will collaborate with Product Managers, System engineers at R&D, and Service organizations. Your responsibilities will include making architectural and design decisions for the Scanner Product lines, with a focus on building sustainable systems. You will also be responsible for designing and implementing imaging applications on PET/SPECT scanners and working closely with Test engineers to develop software tests. Additionally, you will be expected to create solutions that enhance productivity and reduce Product Lifecycle costs using cutting-edge technologies. The ideal candidate will have 4 to 7 years of experience in Software Product Development. Proficiency in C++, MFC, and experience in developing multi-threaded applications is essential. A strong understanding of object-oriented design, patterns, and architecture principles is required, along with excellent analytical and software engineering skills. Familiarity with medical domain knowledge (DICOM, etc.), C#, HTML, Scripting, and COM is a plus. Excellent communication skills, both verbal and written, are crucial for this role. The ability to professionally resolve team issues and conflicts, along with a strong commitment to customers, team, and quality, are also important qualities we are looking for in the ideal candidate. If you are passionate about developing software solutions that drive better patient outcomes and are interested in joining a dynamic team at Siemens Healthineers, we invite you to apply for the position of Senior Software Engineer for MI SPECT and PET scanner application development.,

QUALIFICATION: MBBS with MD in Radiology/DNB in Radiology EXPERIENCE: 0 to 10 years post MD/DNB SALARY: 24LPA to 60LPA EMPLOYMENT TYPE: Contract (To be renewed every year based on performance) JOB LOCATION: Jamshedpur Job Description:- Evaluating patients' medical histories to ensure the various medical imaging procedures will not harm them. Suggest alternative medical imaging techniques, when necessary. Informing patients about the medical imaging process. Using devices such as computer tomography (CT) scanners and magnetic resonance imaging (MRI) machines. Ability to prepare MRI, CT Scan, Ultrasound, Mammography, and other reports. Performing or directing radiology staff to carry out image-guided, diagnostic procedures. Working with radiology lab technicians to perfect image quality. Interpreting the results from diagnostic imaging procedures to determine diagnoses. Communicating and discussing results and diagnoses with physicians. Compiling written reports of results and diagnoses. Following medical protocols for resuscitation, bleeding, infection, or other emergency situations, when necessary. The ability to do an ultrasound-guided biopsy is an added advantage. Desired Skills and Experience medical imaging, emergency situations, medical, imaging, scanners, radiology, protocols, emergency, infection, tomography, diagnostics, DICOM, # ultrasound-guidedbiopsy

Job Title: MedTech Subject Matter Expert – Edge AI & Connectivity Platform Location: Remote (Global collaboration across US and India time zones) Some travel may be required for client workshops or audits Role Overview: We are seeking a highly experienced MedTech Subject Matter Expert (SME) to lead domain strategy, compliance alignment, and clinical relevance for a next-generation Edge AI & Connectivity Platform. This role is critical to ensuring that the solution aligns with healthcare regulatory requirements, clinical workflows, and emerging standards in connected diagnostics, real-time patient monitoring, and intelligent medical devices. The SME will interface between engineering teams and client stakeholders, ensuring the solution is clinically viable, regulatory compliant, and technically scalable. Key Responsibilities: Serve as the MedTech domain authority across platform design, development, and validation activities. Translate clinical, regulatory, and business requirements into platform architecture guidance, user needs, and technical features. Ensure end-to-end alignment with global MedTech standards including: FDA 510(k) submission requirements HIPAA and data privacy laws EU MDR and ISO 13485 QMS IEC 62304 for medical device software Review technical design documents, requirement specifications, and validation protocols to ensure regulatory readiness. Work with solution architects to validate use cases such as remote patient monitoring, connected diagnostics, and real-time health telemetry. Collaborate with product and engineering teams to define edge-to-cloud data flows, security models, and interoperability using HL7, FHIR, and DICOM standards. Lead compliance documentation for V&V (Verification & Validation), audit support, and risk management (ISO 14971). Participate in client-facing workshops, roadmap planning sessions, and technical presentations to drive stakeholder buy-in. Stay updated on innovations and trends in Digital Health, Real-time AI/ML in MedTech, Device Interoperability, and emerging FDA guidance. Required Qualifications and Experience: 10–18 years of experience in the Medical Device or Digital Health industry, preferably with exposure to edge, IoT, or AI-based solutions. Proven track record of working on regulated healthcare products (Class I, II, or III medical devices). Deep understanding of clinical workflows, device lifecycle management, and digital transformation within hospitals or diagnostics labs. Prior experience working on product submissions to FDA, CE, or other regulatory authorities. Strong grasp of software design controls, clinical risk management, usability engineering, and medical data privacy. Domain and Regulatory Expertise Required: Medical device software development lifecycle (IEC 62304) Quality management systems (ISO 13485) Risk management standards (ISO 14971) Data privacy & security regulations (HIPAA, GDPR) FDA regulatory pathways (e.g., 510(k), De Novo) EU MDR guidelines and documentation requirements Medical interoperability protocols: HL7, FHIR, DICOM Preferred Skills & Certifications: RAC Certification (Regulatory Affairs Certification) Certified HIPAA Professional (CHP) Biomedical Engineering, Clinical Informatics, or HealthTech Product Development background Experience working with cloud-to-edge data platforms (e.g., Azure IoT, GCP Edge, AWS Greengrass) Familiarity with cybersecurity for medical devices (e.g., FDA Pre-market Guidance for Cybersecurity) Stakeholder Engagement & Communication: Comfortable presenting complex regulatory and clinical content to technical and non-technical stakeholders. Prior experience leading workshops, requirement elicitation sessions, and technical steering committees. Ability to work closely with product managers, clinical advisors, embedded engineers, and cloud/AI architects. Strong documentation and writing skills for review of QMS documentation, SoPs, and V&V reports. Why Join This Project: You’ll be the face of MedTech strategy for a cutting-edge connected healthcare platform designed to reshape patient outcomes and real-time diagnostics. This is an opportunity to work at the intersection of regulatory science, clinical innovation, and applied AI backed by a global delivery team with strong engineering depth and execution maturity.