2 Iiot Platforms Jobs

What do we do ScratchNest is a loss prevention company providing predictive maintenance services and plant reliability solutions to industrial organizations. We leverage Industry 4.0 technologies, including IIoT, AI, and advanced analytics, to deliver real-time diagnostics and predictive maintenance services that help prevent losses. Who are we looking for This is an exciting and influential opportunity for a visionary web development architect specialised in IoT devices. You will join a dynamic company where technology drives innovation. Our products integrate advanced hardware devices that communicate over GSM networks, and we are seeking a Lead Web Development Architect to design and build the scalable APIs and platforms that will power our next generation of connected solutions. You will take ownership of the architecture and development of robust, scalable APIs that enable secure and reliable communication between our hardware devices and various platforms. Once the API layer is established, you will lead the development of a comprehensive control platform, empowering users to monitor and manage devices remotely. Collaboration with cross-functional teams, technical leadership, and a passion for building high-performance systems are essential. Job Role Responsibilities Lead the end-to-end architecture and design of scalable, secure APIs for hardware device connectivity over GSM. Decompose system requirements into modular, maintainable API components and platform features. Hands-on development of RESTful APIs and backend services using modern frameworks and best practices. Ensure high quality through code reviews, automated testing, and adherence to coding standards. Design and implement a web-based control platform for device management, leveraging the developed APIs. Collaborate with firmware, hardware, and product teams to ensure seamless integration and optimal performance. Maintain and enhance existing API and platform solutions to accommodate new features and evolving requirements. Produce clear technical documentation and contribute to the creation of test plans. Mentor and guide other developers, fostering a culture of technical excellence and innovation. Stay up-to-date with emerging technologies and recommend improvements to system architecture. Key Job Requirements Essential Proven experience designing and developing scalable APIs and backend systems (8+ years). Expertise in AWS IoT Core, RESTful API design, authentication, and security best practices. Strong proficiency in backend technologies (Node.js). Experience integrating with hardware devices over cellular/GSM networks. Demonstrated technical leadership and experience managing or mentoring engineers. Ability to work independently and collaboratively to deliver complex projects on time. Strong problem-solving skills and adaptability to new technologies and requirements. Desirable Experience with IIoT platforms, device management, or remote monitoring solutions. Familiarity with MQTT, WebSockets, or similar real-time communication protocols. Exposure to cloud platforms (AWS, Azure, GCP) and deployment of scalable web services. Understanding of hardware communication protocols and GSM module integration. Knowledge of frontend frameworks (React, Angular, Vue) for building control dashboards. Degree in Computer Science, Software Engineering, or a related field. Salary: Up to 24 LPA + Performance Bonus Experience: 8+ Years Joining: Immediate Location: Noida Job Types: Full-time, Contractual Show more Show less

AI/ML Architect Experience 10+ years in total, 8+ years in AI/ML development 3+ years in AI/ML architecture Education Bachelors/Masters in CS, AI/ML, Engineering, or similar Title: AI/ML Architect Location: Onsite Bangalore Experience: 10+ years Position Summary: We are seeking an experienced AI/ML Architect to lead the design and deployment of scalable AI solutions. This role requires a strong blend of technical depth, systems thinking, and leadership in machine learning , computer vision , and real-time analytics . You will drive the architecture for edge, on-prem, and cloud-based AI systems, integrating 3rd party data sources, sensor and vision data to enable predictive, prescriptive, and autonomous operations across industrial environments. Key Responsibilities: Architecture & Strategy Define the end-to-end architecture for AI/ML systems including time series forecasting , computer vision , and real-time classification . Design scalable ML pipelines (training, validation, deployment, retraining) using MLOps best practices. Architect hybrid deployment models supporting both cloud and edge inference for low-latency processing. Model Integration Guide the integration of ML models into the IIoT platform for real-time insights, alerting, and decision support. Support model fusion strategies combining disparate data sources, sensor streams with visual data (e.g., object detection + telemetry + 3rd party data ingestion). MLOps & Engineering Define and implement ML lifecycle tooling, including version control, CI/CD, experiment tracking, and drift detection. Ensure compliance, security, and auditability of deployed ML models. Collaboration & Leadership Collaborate with Data Scientists, ML Engineers, DevOps, Platform, and Product teams to align AI efforts with business goals. Mentor engineering and data teams in AI system design, optimization, and deployment strategies. Stay ahead of AI research and industrial best practices; evaluate and recommend emerging technologies (e.g., LLMs, vision transformers, foundation models). Must-Have Qualifications: Bachelors or Master’s degree in Computer Science, AI/ML, Engineering, or a related technical field. 8+ years of experience in AI/ML development, with 3+ years in architecting AI solutions at scale. Deep understanding of ML frameworks (TensorFlow, PyTorch), time series modeling, and computer vision. Proven experience with object detection, facial recognition, intrusion detection , and anomaly detection in video or sensor environments. Experience in MLOps (MLflow, TFX, Kubeflow, SageMaker, etc.) and model deployment on Kubernetes/Docker . Proficiency in edge AI (Jetson, Coral TPU, OpenVINO) and cloud platforms (AWS, Azure, GCP). Nice-to-Have Skills: Knowledge of stream processing (Kafka, Spark Streaming, Flink). Familiarity with OT systems and IIoT protocols (MQTT, OPC-UA). Understanding of regulatory and safety compliance in AI/vision for industrial settings. Experience with charts, dashboards, and integrating AI with front-end systems (e.g., alerts, maps, command center UIs). Role Impact: As AI/ML Architect, you will shape the intelligence layer of our IIoT platform — enabling smarter, safer, and more efficient industrial operations through AI. You will bridge research and real-world impact , ensuring our AI stack is scalable, explainable, and production-grade from day one.