About the Role We are looking for a Node Backend Developer to design, develop, and maintain the server- side logic for our next-generation healthcare platform. You will work closely with cross- functional teams to build high-performance, scalable, and secure applications that power seamless experiences for hospitals, insurers, and healthcare professionals. The ideal candidate has strong Node.js and Express expertise and can contribute to the development of robust backend systems and APIs. Responsibilities Backend Development & API Design Design and implement RESTful and GraphQL APIs using Node.js and Express Develop microservices architecture for scalable and maintainable backend systems Optimize database queries and enhance performance of existing systems Write clean, maintainable code following best practices and design patterns System Integration & Database Management Work with SQL and NoSQL databases (MySQL, PostgreSQL, MongoDB) Integrate with third-party services and APIs (hospital systems, insurance platforms) Implement caching mechanisms and message queues for improved performance Design and manage database schemas, migrations, and data models Security & Compliance Ensure adherence to healthcare security standards (HIPAA, GDPR, ABDM, etc.) Implement authentication, authorization, and data encryption mechanisms Follow secure coding practices and conduct code security reviews Address security vulnerabilities and implement fixes Collaboration & Process Improvement Work closely with frontend developers, DevOps engineers, and product managers Participate in code reviews, sprint planning, and technical discussions Contribute to CI/CD pipelines and deployment automation Document APIs, services, and system architecture Required Skills & Qualifications 2+ years of experience in backend development using Node.js Strong proficiency with Express.js framework and RESTful API design Experience with relational databases (MySQL, PostgreSQL) and SQL Knowledge of microservices architecture and containerization (Docker) Understanding of version control systems (Git) and CI/CD workflows Strong problem-solving abilities and debugging skills Excellent communication and collaboration skills Nice to Have Experience with AI/ML integration in backend systems Familiarity with healthcare or insurance industry applications Knowledge of cloud platforms (AWS, Azure, GCP) Experience with NoSQL databases (MongoDB, Cassandra) Understanding of event-driven architecture and message queues (Kafka, RabbitMQ) Proficiency in additional programming languages (Python, JavaScript) What You'll Gain Opportunity to build scalable solutions for mission-critical healthcare operations Work in a fast-paced, innovative environment with cutting-edge technologies Exposure to AI-driven healthcare solutions and enterprise integrations Growth potential into Senior Backend Developer or Backend Team Lead roles Job Type: Full-time Pay: ₹600,000.00 - ₹800,000.00 per year Schedule: Day shift Morning shift Work Location: In person Speak with the employer +91 9575285285

About the Role We are seeking a highly skilled Senior AI/ML Engineer to join our dynamic team. The ideal candidate will have extensive experience in designing, building, and deploying machine learning models and AI solutions to solve real-world business challenges. You will collaborate with cross-functional teams to create and integrate AI/ML models into end-to-end applications, ensuring models are accessible through APIs or product interfaces for real-time usage. Responsibilities Lead the design, development, and deployment of machine learning models for various use cases such as recommendation systems, computer vision, natural language processing (NLP), and predictive analytics. Work with large datasets to build, train, and optimize models using techniques such as classification, regression, clustering, and neural networks. Fine-tune pre-trained models and develop custom models based on specific business needs. Collaborate with data engineers to build scalable data pipelines and ensure the smooth integration of models into production. Collaborate with frontend/backend engineers to build AI-driven features into products or platforms. Build proof-of-concept or production-grade AI applications and tools with intuitive UIs or workflows. Ensure scalability and performance of deployed AI solutions within the full application stack. Implement model monitoring and maintenance strategies to ensure performance, accuracy, and continuous improvement of deployed models. Design and implement APIs or services that expose machine learning models to frontend or other systems Utilize cloud platforms (AWS, GCP, Azure) to deploy, manage, and scale AI/ML solutions. Stay up-to-date with the latest advancements in AI/ML research, and apply innovative techniques to improve existing systems. Communicate effectively with stakeholders to understand business requirements and translate them into AI/ML-driven solutions. Document processes, methodologies, and results for future reference and reproducibility. Required Skills & Qualifications Experience: 3-5+ years of experience in AI/ML engineering roles, with a proven track record of successfully delivering machine learning projects. AI/ML Expertise: Strong knowledge of machine learning algorithms (supervised, unsupervised, reinforcement learning) and AI techniques, including NLP, computer vision, and recommendation systems. Programming Languages: Proficient in Python and relevant ML libraries such as TensorFlow, PyTorch, Scikit-learn, and Keras. Data Manipulation: Experience with data manipulation libraries such as Pandas, NumPy, and SQL for managing and processing large datasets. Model Development: Expertise in building, training, deploying, and fine-tuning machine learning models in production environments. Cloud Platforms: Experience with cloud platforms such as AWS, GCP, or Azure for the deployment and scaling of AI/ML models. MLOps: Knowledge of MLOps practices for model versioning, automation, and monitoring. Data Preprocessing: Proficient in data cleaning, feature engineering, and preparing datasets for model training. Strong experience building and deploying end-to-end AI-powered applications— not just models but full system integration. Hands-on experience with Flask, FastAPI, Django, or similar for building REST APIs for model serving. Understanding of system design and software architecture for integrating AI into production environments. Experience with frontend/backend integration (basic React/Next.js knowledge is a plus). Demonstrated projects where AI models were part of deployed user-facing applications. NLP & Computer Vision: Hands-on experience with natural language processing or computer vision projects. Big Data: Familiarity with big data tools and frameworks (e.g., Apache Spark, Hadoop) is an advantage. Problem-Solving Skills: Strong analytical and problem-solving abilities, with a focus on delivering practical AI/ML solutions. Nice to Have Experience with deep learning architectures (CNNs, RNNs, GANs, etc.) and techniques. Knowledge of deployment strategies for AI models using APIs, Docker, or Kubernetes. Experience building full-stack applications powered by AI (e.g., chatbots, recommendation dashboards, AI assistants, etc.). Experience deploying AI/ML models in real-time environments using API gateways, microservices, or orchestration tools like Docker and Kubernetes. Solid understanding of statistics and probability. Experience working in Agile development environments. What You'll Gain Be part of a forward-thinking team working on cutting-edge AI/ML technologies. Collaborate with a diverse, highly skilled team in a fast-paced environment. Opportunity to work on impactful projects with real-world applications. Competitive salary and career growth opportunities Job Type: Full-time Pay: ₹1,000,000.00 - ₹1,200,000.00 per year Schedule: Day shift Morning shift Supplemental Pay: Performance bonus Work Location: In person