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. People who are looking to extend artificial intelligence into unexplored areas. Your primary focus will be in applying deep learning and artificial intelligence techniques to the domain of medical image analysis. Responsibilities Selecting features, building and optimizing classifier engines using deep learning techniques. Understanding the problem and applying the suitable image processing techniques Use techniques from artificial intelligence/deep learning to solve supervised and unsupervised learning problems. Understanding and designing solutions for complex problems related to medical image analysis by using Deep Learning/Object Detection/Image Segmentation. Recommend and implement best practices around the application of statistical modeling. Create, train, test, and deploy various neural networks to solve complex problems. Develop and implement solutions to fit business problems which may include applying algorithms from a standard statistical tool, deep learning or custom algorithm development. Understanding the requirements and designing solutions and architecture in accordance with them. Participate in code reviews, sprint planning, and Agile ceremonies to drive high-quality deliverables. Design and implement scalable data science architectures for training, inference, and deployment pipelines. Ensure code quality, readability, and maintainability by enforcing software engineering best practices within the data science team. Optimize models for production, including quantization, pruning, and latency reduction for real-time inference. Drive the adoption of versioing strategies for models, datasets, and experiments (e.g., using MLFlow, DVC). Contribute to the architectural design of data platforms to support large-scale experimentation and production workloads. Skills and Qualifications Strong software engineering skills in Python (or other languages used in data science) with emphasis on clean code, modularity, and testability. Excellent understanding and hands-on of Deep Learning techniques such as ANN, CNN, RNN, LSTM, Transformers, VAEs etc. Must have experience with Tensorflow or PyTorch framework in building, training, testing, and deploying neural networks. Experience in solving problems in the domain of Computer Vision. Knowledge of data, data augmentation, data curation, and synthetic data generation. Ability to understand the complete problem and design the solutions that best fit all the constraints. Knowledge of the common data science and deep learning libraries and toolkits such as Keras, Pandas, Scikit-learn, Numpy, Scipy, OpenCV etc. Good applied statistical skills, such as distributions, statistical testing, regression, etc. Exposure to Agile/Scrum methodologies and collaborative development practices. Experience with the development of RESTful APIs. The knowledge of libraries like FastAPI and the ability to apply it to deep learning architectures is essential. Excellent analytical and problem-solving skills with a good attitude and keen to adapt to evolving technologies. Experience with medical image analysis will be an advantage. Experience designing and building ML architecture components (e.g., feature stores, model registries, inference servers). Solid understanding of software design patterns, microservices, and cloud-native architectures. Expertise in model optimization techniques (e.g., ONNX conversion, TensorRT, model distillation) Education: BE/B Tech MS/M Tech (will be a bonus) Experience: 3-5 Years
Senior Data Scientist (Deep Learning and Artificial Intelligence) 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. People who are looking to extend artificial intelligence into unexplored areas. Your primary focus will be in applying deep learning and artificial intelligence techniques to the domain of medical image analysis. Responsibilities Selecting features, building and optimizing classifier engines using deep learning techniques. Understanding the problem and applying the suitable image processing techniques Use techniques from artificial intelligence/deep learning to solve supervised and unsupervised learning problems. Understanding and designing solutions for complex problems related to medical image analysis by using Deep Learning/Object Detection/Image Segmentation. Recommend and implement best practices around the application of statistical modeling. Create, train, test, and deploy various neural networks to solve complex problems. Develop and implement solutions to fit business problems which may include applying algorithms from a standard statistical tool, deep learning or custom algorithm development. Understanding the requirements and designing solutions and architecture in accordance with them is important. Participate in code reviews, sprint planning, and Agile ceremonies to drive high-quality deliverables. Design and implement scalable data science architectures for training, inference, and deployment pipelines. Ensure code quality, readability, and maintainability by enforcing software engineering best practices within the data science team. Optimize models for production, including quantization, pruning, and latency reduction for real-time inference. Drive the adoption of versioing strategies for models, datasets, and experiments (e.g., using MLFlow, DVC). Contribute to the architectural design of data platforms to support large-scale experimentation and production workloads. Skills and Qualifications Strong software engineering skills in Python (or other languages used in data science) with emphasis on clean code, modularity, and testability. Excellent understanding and hands-on of Deep Learning techniques such as ANN, CNN, RNN, LSTM, Transformers, VAEs etc. Must have experience with Tensorflow or PyTorch framework in building, training, testing, and deploying neural networks. Experience in solving problems in the domain of Computer Vision. Knowledge of data, data augmentation, data curation, and synthetic data generation. Ability to understand the complete problem and design the solutions that best fit all the constraints. Knowledge of the common data science and deep learning libraries and toolkits such as Keras, Pandas, Scikit-learn, Numpy, Scipy, OpenCV etc. Good applied statistical skills, such as distributions, statistical testing, regression, etc. Exposure to Agile/Scrum methodologies and collaborative development practices. Experience with the development of RESTful APIs. The knowledge of libraries like FastAPI and the ability to apply it to deep learning architectures is essential. Excellent analytical and problem-solving skills with a good attitude and keen to adapt to evolving technologies. Experience with medical image analysis will be an advantage. Experience designing and building ML architecture components (e.g., feature stores, model registries, inference servers). Solid understanding of software design patterns, microservices, and cloud-native architectures. Expertise in model optimization techniques (e.g., ONNX conversion, TensorRT, model distillation) Education : BE/B Tech MS/M Tech (will be a bonus) Experience : 3+ Years Job Type: Full-time Ability to commute/relocate: Gurugram, Haryana: Reliably commute or planning to relocate before starting work (Required) Application Question(s): Do you have experience leading teams in AI Development? Do you have experience creating software architecture for production environment in AI applications? Experience: Deep learning: 3 years (Required) Computer vision: 3 years (Required) PyTorch: 3 years (Required) Work Location: In person
Senior Data Scientist (Deep Learning and Artificial Intelligence) 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. People who are looking to extend artificial intelligence into unexplored areas. Your primary focus will be in applying deep learning and artificial intelligence techniques to the domain of medical image analysis. Responsibilities Selecting features, building and optimizing classifier engines using deep learning techniques. Understanding the problem and applying the suitable image processing techniques Use techniques from artificial intelligence/deep learning to solve supervised and unsupervised learning problems. Understanding and designing solutions for complex problems related to medical image analysis by using Deep Learning/Object Detection/Image Segmentation. Recommend and implement best practices around the application of statistical modeling. Create, train, test, and deploy various neural networks to solve complex problems. Develop and implement solutions to fit business problems which may include applying algorithms from a standard statistical tool, deep learning or custom algorithm development. Understanding the requirements and designing solutions and architecture in accordance with them is important. Participate in code reviews, sprint planning, and Agile ceremonies to drive high-quality deliverables. Design and implement scalable data science architectures for training, inference, and deployment pipelines. Ensure code quality, readability, and maintainability by enforcing software engineering best practices within the data science team. Optimize models for production, including quantization, pruning, and latency reduction for real-time inference. Drive the adoption of versioing strategies for models, datasets, and experiments (e.g., using MLFlow, DVC). Contribute to the architectural design of data platforms to support large-scale experimentation and production workloads. Skills and Qualifications Strong software engineering skills in Python (or other languages used in data science) with emphasis on clean code, modularity, and testability. Excellent understanding and hands-on of Deep Learning techniques such as ANN, CNN, RNN, LSTM, Transformers, VAEs etc. Must have experience with Tensorflow or PyTorch framework in building, training, testing, and deploying neural networks. Experience in solving problems in the domain of Computer Vision. Knowledge of data, data augmentation, data curation, and synthetic data generation. Ability to understand the complete problem and design the solutions that best fit all the constraints. Knowledge of the common data science and deep learning libraries and toolkits such as Keras, Pandas, Scikit-learn, Numpy, Scipy, OpenCV etc. Good applied statistical skills, such as distributions, statistical testing, regression, etc. Exposure to Agile/Scrum methodologies and collaborative development practices. Experience with the development of RESTful APIs. The knowledge of libraries like FastAPI and the ability to apply it to deep learning architectures is essential. Excellent analytical and problem-solving skills with a good attitude and keen to adapt to evolving technologies. Experience with medical image analysis will be an advantage. Experience designing and building ML architecture components (e.g., feature stores, model registries, inference servers). Solid understanding of software design patterns, microservices, and cloud-native architectures. Expertise in model optimization techniques (e.g., ONNX conversion, TensorRT, model distillation) Education : BE/B Tech MS/M Tech (will be a bonus) Experience : 3+ Years Job Type: Full-time Ability to commute/relocate: Gurugram, Haryana: Reliably commute or planning to relocate before starting work (Required) Application Question(s): Do you have experience leading teams in AI Development? Do you have experience creating software architecture for production environment in AI applications? Experience: Deep learning: 3 years (Required) Computer vision: 3 years (Required) PyTorch: 3 years (Required) Work Location: In person
Full Stack Developer – Node.js & React.Js 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. We want people who can empathize with the consumer, understand business problems, and design and deliver intelligent products. We are looking for a highly motivated and technically proficient Full Stack Developer with expertise in Node.js and React.Js or Angular to join our development team. This role is ideal for individuals who thrive in dynamic environments, take ownership of their work, and aim to build cutting-edge, cloud-ready applications with a focus on performance, scalability, and maintainability. Responsibilities Lead and contribute to the design and development of modern, scalable full stack applications using Node.js, React.Js or Angular, and REST APIs. Architect, develop, and maintain efficient and reusable code components with modular design approaches. Develop robust backend logic using Node.js, Express.js, and integrate with MySQL, MongoDB, and other data sources. Build dynamic and responsive front-end user interfaces using React.Js or Angular, HTML5, CSS3, Bootstrap, and JavaScript/TypeScript. Design and implement RESTful APIs for seamless front-end/backend communication. Write non-blocking, asynchronous, secure code following best practices including error handling, logging, and performance optimization. Implement component-based design principles, reusability patterns, and scalable UI modules. Integrate third-party SDKs, APIs, and external services into the application ecosystem. Create test scripts using tools such as Jasmine, Karma, or equivalent JavaScript testing libraries. Automate builds, test, and deployment processes using CI/CD pipelines (e.g., Jenkins, Artifactory). Participate in code reviews, sprint planning, and Agile ceremonies to drive high-quality deliverables. Maintain proper documentation for code, configurations, and architectural decisions. Skills and Qualifications Strong hands-on experience in Node.js, Express.js, and REST API development. Front-end development experience using React.Js or Angular, HTML5, CSS3, JavaScript, and TypeScript. Experience integrating MySQL and MongoDB databases with backend services. Knowledge of WebSocket communication and real-time data exchange via Socket.io. Familiarity with cloud-ready architectures and modern deployment practices. Proficient in using Git, Bitbucket, and related version control systems. Experience in responsive design, mobile-first development, and cross-browser compatibility. Working knowledge of unit testing using Jasmine, Karma, or similar frameworks. Experience with task runners such as Grunt or Gulp. Solid understanding of user authentication and authorization across systems and environments. Ability to implement best practices for performance tuning, caching, security, and scalability. Exposure to Agile/Scrum methodologies and collaborative development practices. Good to Have Experience with AWS Lambda, AWS API Gateway, or other cloud-native services. Familiarity with chat framework development, real-time messaging, or bot integration. Knowledge of Cassandra, Redis, or other NoSQL/Key-Value stores. Understanding of containerization tools like Docker, and orchestration platforms such as Kubernetes. Background in microservices architecture, DevOps practices, and service mesh concepts. Soft Skills Strong problem-solving and analytical thinking. Excellent written and verbal communication. Proactive, self-driven, and enthusiastic about learning and experimenting with new technologies. Team-oriented with a growth mindset and ability to work independently. Experience Required : 3-5 Years Education : B.E/B.Tech/MCA Job Type: Full-time Pay: ₹1,000,000.00 - ₹1,200,000.00 per year Supplemental Pay: Performance bonus Ability to commute/relocate: Gurgaon, Haryana: Reliably commute or planning to relocate before starting work (Preferred) Experience: React: 3 years (Required) APIs: 3 years (Required) REST: 3 years (Required) RDBMS: 3 years (Required) Work Location: In person
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. We want people who can empathize with the consumer, understand business problems, and design and deliver intelligent products. We are looking for a highly motivated and technically proficient Full Stack Developer with expertise in Node.js and React.Js or Angular to join our development team. This role is ideal for individuals who thrive in dynamic environments, take ownership of their work, and aim to build cutting-edge, cloud-ready applications with a focus on performance, scalability, and maintainability. Responsibilities Lead and contribute to the design and development of modern, scalable full stack applications using Node.js, React.Js or Angular, and REST APIs. Architect, develop, and maintain efficient and reusable code components with modular design approaches. Develop robust backend logic using Node.js, Express.js, and integrate with MySQL, MongoDB, and other data sources. Build dynamic and responsive front-end user interfaces using React.Js or Angular, HTML5, CSS3, Bootstrap, and JavaScript/TypeScript. Design and implement RESTful APIs for seamless front-end/backend communication. Write non-blocking, asynchronous, secure code following best practices including error handling, logging, and performance optimization. Implement component-based design principles, reusability patterns, and scalable UI modules. Integrate third-party SDKs, APIs, and external services into the application ecosystem. Create test scripts using tools such as Jasmine, Karma, or equivalent JavaScript testing libraries. Automate builds, test, and deployment processes using CI/CD pipelines (e.g., Jenkins, Artifactory). Participate in code reviews, sprint planning, and Agile ceremonies to drive high-quality deliverables. Maintain proper documentation for code, configurations, and architectural decisions. Skills and Qualifications Strong hands-on experience in Node.js, Express.js, and REST API development. Front-end development experience using React.Js or Angular, HTML5, CSS3, JavaScript, and TypeScript. Experience integrating MySQL and MongoDB databases with backend services. Knowledge of WebSocket communication and real-time data exchange via Socket.io. Familiarity with cloud-ready architectures and modern deployment practices. Proficient in using Git, Bitbucket, and related version control systems. Experience in responsive design, mobile-first development, and cross-browser compatibility. Working knowledge of unit testing using Jasmine, Karma, or similar frameworks. Experience with task runners such as Grunt or Gulp. Solid understanding of user authentication and authorization across systems and environments. Ability to implement best practices for performance tuning, caching, security, and scalability. Exposure to Agile/Scrum methodologies and collaborative development practices. Good to Have Experience with AWS Lambda, AWS API Gateway, or other cloud-native services. Familiarity with chat framework development, real-time messaging, or bot integration. Knowledge of Cassandra, Redis, or other NoSQL/Key-Value stores. Understanding of containerization tools like Docker, and orchestration platforms such as Kubernetes. Background in microservices architecture, DevOps practices, and service mesh concepts. Strong problem-solving and analytical thinking. Excellent written and verbal communication. Proactive, self-driven, and enthusiastic about learning and experimenting with new technologies. Team-oriented with a growth mindset and ability to work independently. Experience Required : 3-5 Years Education: B.E/B.Tech/MCA
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
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 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. We want people who can empathize with the consumer, understand business problems, and design and deliver intelligent products. We are looking for a highly motivated and technically proficient Full Stack Developer with expertise in Node.js and React.Js or Angular to join our development team. This role is ideal for individuals who thrive in dynamic environments, take ownership of their work, and aim to build cutting-edge, cloud-ready applications with a focus on performance, scalability, and maintainability. Responsibilities Lead and contribute to the design and development of modern, scalable full stack applications using Node.js, React.Js or Angular, and REST APIs. Architect, develop, and maintain efficient and reusable code components with modular design approaches. Develop robust backend logic using Node.js, Express.js, and integrate with MySQL, MongoDB, and other data sources. Build dynamic and responsive front-end user interfaces using React.Js or Angular, HTML5, CSS3, Bootstrap, and JavaScript/TypeScript. Design and implement RESTful APIs for seamless front-end/backend communication. Write non-blocking, asynchronous, secure code following best practices including error handling, logging, and performance optimization. Implement component-based design principles, reusability patterns, and scalable UI modules. Integrate third-party SDKs, APIs, and external services into the application ecosystem. Create test scripts using tools such as Jasmine, Karma, or equivalent JavaScript testing libraries. Automate builds, test, and deployment processes using CI/CD pipelines (e.g., Jenkins, Artifactory). Participate in code reviews, sprint planning, and Agile ceremonies to drive high-quality deliverables. Maintain proper documentation for code, configurations, and architectural decisions. Skills and Qualifications Strong hands-on experience in Node.js, Express.js, and REST API development. Front-end development experience using React.Js or Angular, HTML5, CSS3, JavaScript, and TypeScript. Experience integrating MySQL and MongoDB databases with backend services. Knowledge of WebSocket communication and real-time data exchange via Socket.io. Familiarity with cloud-ready architectures and modern deployment practices. Proficient in using Git, Bitbucket, and related version control systems. Experience in responsive design, mobile-first development, and cross-browser compatibility. Working knowledge of unit testing using Jasmine, Karma, or similar frameworks. Experience with task runners such as Grunt or Gulp. Solid understanding of user authentication and authorization across systems and environments. Ability to implement best practices for performance tuning, caching, security, and scalability. Exposure to Agile/Scrum methodologies and collaborative development practices. Good to Have Experience with AWS Lambda, AWS API Gateway, or other cloud-native services. Familiarity with chat framework development, real-time messaging, or bot integration. Knowledge of Cassandra, Redis, or other NoSQL/Key-Value stores. Understanding of containerization tools like Docker, and orchestration platforms such as Kubernetes. Background in microservices architecture, DevOps practices, and service mesh concepts. Strong problem-solving and analytical thinking. Excellent written and verbal communication. Proactive, self-driven, and enthusiastic about learning and experimenting with new technologies. Team-oriented with a growth mindset and ability to work independently. Experience Required : 3-5 Years Education: B.E/B.Tech/MCA
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. We want people who can empathize with the consumer, understand business problems, and design and deliver intelligent products. We are looking for a highly motivated and technically proficient Full Stack Developer with expertise in Node.js and React.Js or Angular to join our development team. This role is ideal for individuals who thrive in dynamic environments, take ownership of their work, and aim to build cutting-edge, cloud-ready applications with a focus on performance, scalability, and maintainability. Responsibilities Lead and contribute to the design and development of modern, scalable full stack applications using Node.js, React.Js or Angular, and REST APIs. Architect, develop, and maintain efficient and reusable code components with modular design approaches. Develop robust backend logic using Node.js, Express.js, and integrate with MySQL, MongoDB, and other data sources. Build dynamic and responsive front-end user interfaces using React.Js or Angular, HTML5, CSS3, Bootstrap, and JavaScript/TypeScript. Design and implement RESTful APIs for seamless front-end/backend communication. Write non-blocking, asynchronous, secure code following best practices including error handling, logging, and performance optimization. Implement component-based design principles, reusability patterns, and scalable UI modules. Integrate third-party SDKs, APIs, and external services into the application ecosystem. Create test scripts using tools such as Jasmine, Karma, or equivalent JavaScript testing libraries. Automate builds, test, and deployment processes using CI/CD pipelines (e.g., Jenkins, Artifactory). Participate in code reviews, sprint planning, and Agile ceremonies to drive high-quality deliverables. Maintain proper documentation for code, configurations, and architectural decisions. Skills and Qualifications Strong hands-on experience in Node.js, Express.js, and REST API development. Front-end development experience using React.Js or Angular, HTML5, CSS3, JavaScript, and TypeScript. Experience integrating MySQL and MongoDB databases with backend services. Knowledge of WebSocket communication and real-time data exchange via Socket.io. Familiarity with cloud-ready architectures and modern deployment practices. Proficient in using Git, Bitbucket, and related version control systems. Experience in responsive design, mobile-first development, and cross-browser compatibility. Working knowledge of unit testing using Jasmine, Karma, or similar frameworks. Experience with task runners such as Grunt or Gulp. Solid understanding of user authentication and authorization across systems and environments. Ability to implement best practices for performance tuning, caching, security, and scalability. Exposure to Agile/Scrum methodologies and collaborative development practices. Good to Have Experience with AWS Lambda, AWS API Gateway, or other cloud-native services. Familiarity with chat framework development, real-time messaging, or bot integration. Knowledge of Cassandra, Redis, or other NoSQL/Key-Value stores. Understanding of containerization tools like Docker, and orchestration platforms such as Kubernetes. Background in microservices architecture, DevOps practices, and service mesh concepts. Strong problem-solving and analytical thinking. Excellent written and verbal communication. Proactive, self-driven, and enthusiastic about learning and experimenting with new technologies. Team-oriented with a growth mindset and ability to work independently. Experience Required : 3-5 Years Education: B.E/B.Tech/MCA
Position: Assistant Location: Gurugram Employment Type: Full-time About the Role We are looking for a proactive and detail-oriented Assistant to support day-to-day operations. The role involves managing schedules, coordinating meetings, handling travel arrangements, and assisting with administrative tasks. The ideal candidate should be highly organized, reliable, and able to multitask effectively. A background in finance will be considered an added advantage. Key Responsibilities Manage and maintain daily schedules, appointments, and calendars. Arrange and coordinate meetings, including booking venues, preparing agendas, and ensuring follow-ups. Handle travel arrangements (ticketing, hotel booking, itinerary preparation, etc.). Manage day-to-day administrative tasks such as emails, calls, and correspondence. Maintain records, files, and documentation in an organized manner. Coordinate with internal teams and external stakeholders as required. Track deadlines, reminders, and ensure timely completion of tasks. Support in basic reporting, data entry, and documentation. Assist in finance-related tasks such as expense tracking, reimbursements, and maintaining petty cash (if required). Handle confidential information with discretion. Requirements Bachelor’s degree or equivalent qualification. 1–3 years of experience as an Assistant, Executive Assistant, or in a similar role. Excellent organizational and multitasking skills. Strong communication skills (verbal and written). Proficiency in MS Office (Word, Excel, Outlook, PowerPoint) and scheduling tools. Ability to prioritize tasks and work under pressure. High level of integrity and professionalism. Finance background or exposure will be an added advantage. Preferred Skills Experience in handling travel and meeting coordination. Strong problem-solving and time management abilities. Ability to adapt quickly in a fast-paced environment. What We Offer Competitive salary and benefits. A supportive and collaborative work environment. Opportunities to grow and learn in a dynamic setup. Job Type: Full-time Pay: ₹25,000.00 - ₹30,000.00 per month Ability to commute/relocate: Gurugram, Haryana: Reliably commute or planning to relocate before starting work (Required) Education: Bachelor's (Preferred) Experience: Personal assistant: 1 year (Preferred) Language: English (Required) Work Location: In person
Position: Assistant Location: Gurugram Employment Type: Full-time About the Role We are looking for a proactive and detail-oriented Assistant to support day-to-day operations. The role involves managing schedules, coordinating meetings, handling travel arrangements, and assisting with administrative tasks. The ideal candidate should be highly organized, reliable, and able to multitask effectively. A background in finance will be considered an added advantage. Key Responsibilities Manage and maintain daily schedules, appointments, and calendars. Arrange and coordinate meetings, including booking venues, preparing agendas, and ensuring follow-ups. Handle travel arrangements (ticketing, hotel booking, itinerary preparation, etc.). Manage day-to-day administrative tasks such as emails, calls, and correspondence. Maintain records, files, and documentation in an organized manner. Coordinate with internal teams and external stakeholders as required. Track deadlines, reminders, and ensure timely completion of tasks. Support in basic reporting, data entry, and documentation. Assist in finance-related tasks such as expense tracking, reimbursements, and maintaining petty cash (if required). Handle confidential information with discretion. Requirements Bachelor’s degree or equivalent qualification. 1–3 years of experience as an Assistant, Executive Assistant, or in a similar role. Excellent organizational and multitasking skills. Strong communication skills (verbal and written). Proficiency in MS Office (Word, Excel, Outlook, PowerPoint) and scheduling tools. Ability to prioritize tasks and work under pressure. High level of integrity and professionalism. Finance background or exposure will be an added advantage. Preferred Skills Experience in handling travel and meeting coordination. Strong problem-solving and time management abilities. Ability to adapt quickly in a fast-paced environment. What We Offer Competitive salary and benefits. A supportive and collaborative work environment. Opportunities to grow and learn in a dynamic setup. Job Type: Full-time Pay: ₹25,000.00 - ₹30,000.00 per month Ability to commute/relocate: Gurugram, Haryana: Reliably commute or planning to relocate before starting work (Required) Education: Bachelor's (Preferred) Experience: Personal assistant: 1 year (Preferred) Language: English (Required) Work Location: In person
Position: Assistant Location: Gurugram Employment Type: Full-time About the Role We are looking for a proactive and detail-oriented Assistant to support day-to-day operations. The role involves managing schedules, coordinating meetings, handling travel arrangements, and assisting with administrative tasks. The ideal candidate should be highly organized, reliable, and able to multitask effectively. A background in finance will be considered an added advantage. Key Responsibilities Manage and maintain daily schedules, appointments, and calendars. Arrange and coordinate meetings, including booking venues, preparing agendas, and ensuring follow-ups. Handle travel arrangements (ticketing, hotel booking, itinerary preparation, etc.). Manage day-to-day administrative tasks such as emails, calls, and correspondence. Maintain records, files, and documentation in an organized manner. Coordinate with internal teams and external stakeholders as required. Track deadlines, reminders, and ensure timely completion of tasks. Support in basic reporting, data entry, and documentation. Assist in finance-related tasks such as expense tracking, reimbursements, and maintaining petty cash (if required). Handle confidential information with discretion. Requirements Bachelor’s degree or equivalent qualification. 1–3 years of experience as an Assistant, Executive Assistant, or in a similar role. Excellent organizational and multitasking skills. Strong communication skills (verbal and written). Proficiency in MS Office (Word, Excel, Outlook, PowerPoint) and scheduling tools. Ability to prioritize tasks and work under pressure. High level of integrity and professionalism. Finance background or exposure will be an added advantage. Preferred Skills Experience in handling travel and meeting coordination. Strong problem-solving and time management abilities. Ability to adapt quickly in a fast-paced environment. What We Offer Competitive salary and benefits. A supportive and collaborative work environment. Opportunities to grow and learn in a dynamic setup. Job Type: Full-time Pay: ₹25,000.00 - ₹30,000.00 per month Ability to commute/relocate: Gurugram, Haryana: Reliably commute or planning to relocate before starting work (Required) Education: Bachelor's (Preferred) Experience: Personal assistant: 1 year (Preferred) Language: English (Required) Work Location: In person
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. We want people who can empathize with the consumer, understand business problems, and design and deliver intelligent products. People who are looking to extend artificial intelligence into unexplored areas. Your primary focus will be in applying deep learning and artificial intelligence techniques to the domain of medical image analysis. Responsibilities Selecting features, building and optimizing classifier engines using deep learning techniques. Understanding the problem and applying the suitable image processing techniques Use techniques from artificial intelligence/deep learning to solve supervised and unsupervised learning problems. Understanding and designing solutions for complex problems related to medical image analysis by using Deep Learning/Object Detection/Image Segmentation. Recommend and implement best practices around the application of statistical modeling. Create, train, test, and deploy various neural networks to solve complex problems. Develop and implement solutions to fit business problems which may include applying algorithms from a standard statistical tool, deep learning or custom algorithm development. Understanding the requirements and designing solutions and architecture in accordance with them. Participate in code reviews, sprint planning, and Agile ceremonies to drive high-quality deliverables. Design and implement scalable data science architectures for training, inference, and deployment pipelines. Ensure code quality, readability, and maintainability by enforcing software engineering best practices within the data science team. Optimize models for production, including quantization, pruning, and latency reduction for real-time inference. Drive the adoption of versioning strategies for models, datasets, and experiments (e.g., using MLFlow, DVC). Contribute to the architectural design of data platforms to support large-scale experimentation and production workloads. Skills and Qualifications Strong software engineering skills in Python (or other languages used in data science) with emphasis on clean code, modularity, and testability. Excellent understanding and hands-on of Deep Learning techniques such as ANN, CNN, RNN, LSTM, Transformers, VAEs etc. Must have experience with Tensorflow or PyTorch framework in building, training, testing, and deploying neural networks. Experience in solving problems in the domain of Computer Vision. Knowledge of data, data augmentation, data curation, and synthetic data generation. Ability to understand the complete problem and design the solutions that best fit all the constraints. Knowledge of the common data science and deep learning libraries and toolkits such as Keras, Pandas, Scikit-learn, Numpy, Scipy, OpenCV etc. Good applied statistical skills, such as distributions, statistical testing, regression, etc. Exposure to Agile/Scrum methodologies and collaborative development practices. Experience with the development of RESTful APIs. The knowledge of libraries like FastAPI and the ability to apply it to deep learning architectures is essential. Excellent analytical and problem-solving skills with a good attitude and keen to adapt to evolving technologies. Experience with medical image analysis will be an advantage. Experience designing and building ML architecture components (e.g., feature stores, model registries, inference servers). Solid understanding of software design patterns, microservices, and cloud-native architectures. Expertise in model optimization techniques (e.g., ONNX conversion, TensorRT, model distillation) Familiarization with Triton. Education: BE/B Tech MS/M Tech (will be a bonus) Experience: 3-5 Years
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. 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. Implement monitoring and alerting systems for infrastructure uptime, resource utilization, and failures. 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 Experience: 3-5 Years
Job Description – Data Scientist We aim to redefine medical image diagnostics by delivering intelligent, holistic, ethical, explainable, and patient-centric solutions. We are seeking innovative problem solvers who can empathize with users, translate business challenges into technical solutions, and design intelligent products. This role is ideal for individuals eager to extend artificial intelligence into unexplored areas, with a strong focus on deep learning applications in medical image analysis . Responsibilities Select, build, and optimize classifier engines using deep learning techniques. Analyze problems and apply the most suitable image processing methods. Apply deep learning/AI techniques to solve supervised and unsupervised learning tasks. Design solutions for complex problems in medical image analysis, including object detection and image segmentation . Recommend and implement best practices for statistical modeling. Create, train, test, and deploy neural networks for real-world applications. Develop and customize algorithms using statistical tools, deep learning frameworks, or bespoke methods to solve business problems. Translate requirements into scalable solutions and architectures. Participate in sprint planning, code reviews, and other Agile ceremonies to ensure quality deliverables. Design and implement scalable ML architectures for training, inference, and deployment pipelines. Enforce software engineering best practices within the data science team to ensure code readability, modularity, and maintainability. Optimize models for production use (e.g., quantization, pruning, latency reduction for real-time inference). Drive adoption of versioning strategies for models, datasets, and experiments (MLFlow, DVC, etc.). Contribute to the design of data platforms supporting large-scale experimentation and production workloads. Skills and Qualifications Strong programming and software engineering skills in Python (or other data science languages) with a focus on clean, testable, and modular code. Hands-on experience with deep learning techniques such as ANN, CNN, RNN, LSTM, Transformers, VAEs, etc. Proficiency in TensorFlow or PyTorch for building, training, testing, and deploying neural networks. Proven expertise in computer vision applications. Knowledge of data preparation techniques, including augmentation, curation, and synthetic data generation. Familiarity with key data science/deep learning libraries: Keras, Pandas, Scikit-learn, NumPy, SciPy, OpenCV, etc. Solid foundation in applied statistics: regression, distributions, hypothesis testing, etc. Experience working with FastAPI for deploying deep learning architectures. Strong analytical and problem-solving skills, with adaptability to emerging technologies. Good to Have Experience building ML architecture components such as feature stores, model registries, and inference servers . Solid understanding of software design patterns, microservices, and cloud-native architectures . Familiarity with model optimization (ONNX conversion, TensorRT, model distillation). Experience working in Agile/Scrum environments with collaborative development practices. Exposure to RESTful API development . Prior experience in medical image analysis (a strong plus). Education BE/B.Tech in a relevant field (MS/M.Tech is an advantage). Experience Minimum of 2-3 years of professional experience in Data Science/Deep Learning. Job Type: Full-time Pay: ₹1,000,000.00 - ₹1,400,000.00 per year Ability to commute/relocate: Gurugram, Haryana: Reliably commute or planning to relocate before starting work (Preferred) Application Question(s): Do you have experience creating software architecture for production environment in AI applications? Experience: FastAPI: 2 years (Preferred) PyTorch: 2 years (Required) TensorFlow: 2 years (Preferred) ONNX: 2 years (Preferred) Model Optimisation: 2 years (Required) Software Deployment: 2 years (Preferred) Work Location: In person
Job Description – Data Scientist We aim to redefine medical image diagnostics by delivering intelligent, holistic, ethical, explainable, and patient-centric solutions. We are seeking innovative problem solvers who can empathize with users, translate business challenges into technical solutions, and design intelligent products. This role is ideal for individuals eager to extend artificial intelligence into unexplored areas, with a strong focus on deep learning applications in medical image analysis . Responsibilities Select, build, and optimize classifier engines using deep learning techniques. Analyze problems and apply the most suitable image processing methods. Apply deep learning/AI techniques to solve supervised and unsupervised learning tasks. Design solutions for complex problems in medical image analysis, including object detection and image segmentation . Recommend and implement best practices for statistical modeling. Create, train, test, and deploy neural networks for real-world applications. Develop and customize algorithms using statistical tools, deep learning frameworks, or bespoke methods to solve business problems. Translate requirements into scalable solutions and architectures. Participate in sprint planning, code reviews, and other Agile ceremonies to ensure quality deliverables. Design and implement scalable ML architectures for training, inference, and deployment pipelines. Enforce software engineering best practices within the data science team to ensure code readability, modularity, and maintainability. Optimize models for production use (e.g., quantization, pruning, latency reduction for real-time inference). Drive adoption of versioning strategies for models, datasets, and experiments (MLFlow, DVC, etc.). Contribute to the design of data platforms supporting large-scale experimentation and production workloads. Skills and Qualifications Strong programming and software engineering skills in Python (or other data science languages) with a focus on clean, testable, and modular code. Hands-on experience with deep learning techniques such as ANN, CNN, RNN, LSTM, Transformers, VAEs, etc. Proficiency in TensorFlow or PyTorch for building, training, testing, and deploying neural networks. Proven expertise in computer vision applications. Knowledge of data preparation techniques, including augmentation, curation, and synthetic data generation. Familiarity with key data science/deep learning libraries: Keras, Pandas, Scikit-learn, NumPy, SciPy, OpenCV, etc. Solid foundation in applied statistics: regression, distributions, hypothesis testing, etc. Experience working with FastAPI for deploying deep learning architectures. Strong analytical and problem-solving skills, with adaptability to emerging technologies. Good to Have Experience building ML architecture components such as feature stores, model registries, and inference servers . Solid understanding of software design patterns, microservices, and cloud-native architectures . Familiarity with model optimization (ONNX conversion, TensorRT, model distillation). Experience working in Agile/Scrum environments with collaborative development practices. Exposure to RESTful API development . Prior experience in medical image analysis (a strong plus). Education BE/B.Tech in a relevant field (MS/M.Tech is an advantage). Experience Minimum of 2-3 years of professional experience in Data Science/Deep Learning. Job Type: Full-time Pay: ₹1,000,000.00 - ₹1,400,000.00 per year Ability to commute/relocate: Gurugram, Haryana: Reliably commute or planning to relocate before starting work (Preferred) Application Question(s): Do you have experience creating software architecture for production environment in AI applications? Experience: FastAPI: 2 years (Preferred) PyTorch: 2 years (Required) TensorFlow: 2 years (Preferred) ONNX: 2 years (Preferred) Model Optimisation: 2 years (Required) Software Deployment: 2 years (Preferred) Work Location: In person
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. We want people who can empathize with the consumer, understand business problems, and design and deliver intelligent products. People who are looking to extend artificial intelligence into unexplored areas. Your primary focus will be in applying deep learning and artificial intelligence techniques to the domain of medical image analysis. Responsibilities Selecting features, building and optimizing classifier engines using deep learning techniques. Understanding the problem and applying the suitable image processing techniques Use techniques from artificial intelligence/deep learning to solve supervised and unsupervised learning problems. Understanding and designing solutions for complex problems related to medical image analysis by using Deep Learning/Object Detection/Image Segmentation. Recommend and implement best practices around the application of statistical modeling. Create, train, test, and deploy various neural networks to solve complex problems. Develop and implement solutions to fit business problems which may include applying algorithms from a standard statistical tool, deep learning or custom algorithm development. Understanding the requirements and designing solutions and architecture in accordance with them. Participate in code reviews, sprint planning, and Agile ceremonies to drive high-quality deliverables. Design and implement scalable data science architectures for training, inference, and deployment pipelines. Ensure code quality, readability, and maintainability by enforcing software engineering best practices within the data science team. Optimize models for production, including quantization, pruning, and latency reduction for real-time inference. Drive the adoption of versioning strategies for models, datasets, and experiments (e.g., using MLFlow, DVC). Contribute to the architectural design of data platforms to support large-scale experimentation and production workloads. Skills and Qualifications Strong software engineering skills in Python (or other languages used in data science) with emphasis on clean code, modularity, and testability. Excellent understanding and hands-on of Deep Learning techniques such as ANN, CNN, RNN, LSTM, Transformers, VAEs etc. Must have experience with Tensorflow or PyTorch framework in building, training, testing, and deploying neural networks. Experience in solving problems in the domain of Computer Vision. Knowledge of data, data augmentation, data curation, and synthetic data generation. Ability to understand the complete problem and design the solutions that best fit all the constraints. Knowledge of the common data science and deep learning libraries and toolkits such as Keras, Pandas, Scikit-learn, Numpy, Scipy, OpenCV etc. Good applied statistical skills, such as distributions, statistical testing, regression, etc. Exposure to Agile/Scrum methodologies and collaborative development practices. Experience with the development of RESTful APIs. The knowledge of libraries like FastAPI and the ability to apply it to deep learning architectures is essential. Excellent analytical and problem-solving skills with a good attitude and keen to adapt to evolving technologies. Experience with medical image analysis will be an advantage. Experience designing and building ML architecture components (e.g., feature stores, model registries, inference servers). Solid understanding of software design patterns, microservices, and cloud-native architectures. Expertise in model optimization techniques (e.g., ONNX conversion, TensorRT, model distillation) Familiarization with Triton. Education: BE/B Tech MS/M Tech (will be a bonus) Experience: 3-5 Years
Systems Administrator Experience: 3–5 Years About the Company We aim to bring about a new paradigm in medical image diagnostics — intelligent, holistic, ethical, explainable, and patient‑centric. We’re looking for innovative problem‑solvers who empathize with clinicians and patients, understand business problems, and can design and deliver reliable, intelligent products. Key Responsibilities Manage Linux servers, GPU nodes (drivers/CUDA/MIG), and networked storage for AI training/inference. Operate PACS/XNAT, DICOM routing (AE Titles, TLS), and high-throughput data movement (DICOM/NIfTI, 100GB–TB). Provision and maintain MQ brokers (RabbitMQ/ActiveMQ/Kafka): clustering, TLS, HA, backups. Monitoring & alerting: Prometheus/Grafana; ship logs to ELK/OpenSearch/Loki; SIEM integration and alerts. Security & access: SSO/IdP, RBAC, MFA, PAM; IAM guardrails; cert/PKI management with automated rotation. Patch & vulnerability mgmt: CIS baselines, kernel/driver updates, EDR; scheduled windows and remediation SLAs. Backups & DR: datasets, model artifacts, PostgreSQL/MongoDB; RPO/RTO targets; quarterly restore drills. Config management: Ansible/SSM/Salt for baseline images, desired-state, and drift detection. Network services: DNS/DHCP/NTP, segmentation/VPC/VLAN, VPN/WireGuard, egress/WAF policies. Storage ops: RAID/ZFS, snapshots/quotas, S3/MinIO lifecycle & versioning, cost-aware tiering. Compliance & audit: HIPAA/GDPR/ISO-27001 controls, immutable audit logs, retention policies. Change/incident mgmt: runbooks, on-call, postmortems; coordinate maintenance windows. Support AI teams: capacity planning (CPU/GPU/RAM/IOPS), license servers, specialized imaging environments. Skills and Qualifications (Required) 3+ years Linux systems administration in high‑availability environments. GPU servers: NVIDIA CUDA/drivers; Docker runtime fundamentals. Networking fundamentals (firewalls, VPNs, load balancers); storage (NAS/S3). Monitoring/logging: Prometheus, Grafana, ELK/Opensearch. Message queues: RabbitMQ/ActiveMQ/Kafka basics (clustering, failover). Cloud familiarity (AWS/GCP/Azure), IAM and cost‑aware provisioning. Knowledge of cybersecurity best practices and compliance frameworks (HIPAA, GDPR, ISO 27001). Security & compliance: CIS hardening, patch mgmt, EDR, audit/retention. Config management (Ansible/SSM/Salt) and scripting (Bash/Python). Preferred PACS or XNAT administration; DICOM routers; imaging data movers. SaltStack/systemd health checks; log stacks (Loki/Tempo). Scripting (Bash, Python) for automation and troubleshooting. Exposure to database administration (PostgreSQL, MongoDB). Loki/Tempo stacks; Vault/Secrets Manager; OPA/Gatekeeper awareness. Education BE/B.Tech or equivalent experience. Location & Work Setup On-Site Gurugram. On-premises if required Job Type: Full-time Pay: ₹800,000.00 - ₹1,000,000.00 per year Application Question(s): How many years of Linux Production Server Administration do you have? Have you managed GPU Servers and CUDA Drivers? Which monitoring and logging tools have you used? How many years of Production experience with docker and kubernetes do you have? Do you have experience with Configuration Automation? Work Location: In person Speak with the employer +91 8126334433
DevOps/AIOps Engineer (Platform) Experience: 3–5 Years About the Company We aim to bring about a new paradigm in medical image diagnostics — intelligent, holistic, ethical, explainable, and patient‑centric. We’re looking for innovative problem‑solvers who empathize with clinicians and patients, understand business problems, and can design and deliver reliable, intelligent products. Key Responsibilities CI/CD for services & models: Own pipelines (GitHub Actions/GitLab CI), environment gates, artifact/version governance (containers, models, SBOMs), safe rollouts & instant rollbacks. Kubernetes platform (EKS preferred): Operate multi-env clusters; Helm/Kustomize; GitOps (Argo CD/Flux); progressive delivery (canary/blue-green/Argo Rollouts/Flagger). Serving & APIs: Deploy and tune FastAPI services and Triton/ONNX/TensorRT inference; traffic shaping, runtime config, autoscaling signals. Event-driven orchestration: Build robust consumers/producers on RabbitMQ/ActiveMQ/Kafka with back-pressure, dead-lettering, idempotency, and retry patterns. Observability & AIOps: Define SLIs/SLOs and error budgets; metrics/logs/traces (Prometheus/Grafana/Loki/Tempo/ELK); intelligent alerting & noise reduction; basic model/data drift hooks. Security in SDLC: Supply-chain security (image signing/provenance, SBOM scans), SAST/DAST/IaC scanning, policy-as-code (OPA/Gatekeeper), secrets hygiene in pipelines/workloads. Data/Model platform integration: S3/MinIO for artifacts; integrate model registry (MLflow or similar) into CD; immutable, traceable releases. Resilience & performance: Capacity planning (incl. GPU), autoscaling (HPA/VPA/KEDA), caching/queue tuning; chaos/game-days; write runbooks and own incident response for platform services. Developer experience: Golden paths, starter repos, internal Helm charts, docs & enablement to make shipping boring and fast. FinOps mindset: Cost dashboards, right-sizing, bin-packing, GPU utilization policies, spot vs on-demand strategy. Skills and Qualifications (Required) 3+ years in DevOps/SRE/MLOps with strong Docker & Kubernetes fundamentals. Production CI/CD expertise; canary/blue-green; artifact & version management. IaC (Terraform) and GitOps workflows (Argo CD/Flux). Observability: Prometheus/Grafana; logs/traces with Loki/Tempo/ELK. Production message queues (RabbitMQ/ActiveMQ/Kafka) with back-pressure & retries. Cloud experience (AWS/GCP/Azure), EKS preferred; object storage (S3/MinIO); model registries (MLflow or similar). Security in SDLC and compliance guardrails for PHI-like data (least-privilege IAM, secrets, auditability). Incident response experience; writing SLIs/SLOs, runbooks, and operating to error budgets. Scripting for platform tasks (Python/Bash). Preferred Triton Inference Server, ONNX/TensorRT optimizations; GPU scheduling on K8s (NVIDIA device plugin, MIG, node pools). Argo Rollouts/Flagger, Karpenter, KEDA; caching layers (Redis/NVCache patterns). Policy-as-code (OPA/Gatekeeper), image signing (cosign), SBOM tools (syft/grype). Network savvy for app delivery (ingress, service meshes, egress policies). Education BE/B.Tech or equivalent experience. Location & Work Setup On-site - Gurugram Job Type: Full-time Pay: ₹800,000.00 - ₹1,000,000.00 per year Application Question(s): How many years of hands on production kubernetes experience do you have? Which CI/CD tools have you used to deploy micro services? Do you have experience with progressive delivery and roll backs? What is your experience with serving ML Models in production? How do you evaluate and track the performance of a Model in production? Work Location: In person