The Hardware Engineer Intern will assist in schematic design, prototyping, validation, and debugging, working closely with senior engineers to support hardware development and ensure timely delivery of reliable and high-quality solutions.
Job Title: Solution Architect Experience: 4+ Years Location: Bangalore, India Company: Citriot.ai Employment Type: Full-time About Citriot.ai At Citriot.ai , we’re shaping the future of intelligent infrastructure and real-time AI-powered systems. Our mission is to enable enterprises, public systems, and industries to harness the power of computer vision and deep learning at the edge — delivering smart, scalable, and secure solutions. Based in Bangalore, we specialize in Edge AI , video intelligence , and digital transformation solutions across sectors including transportation, logistics, manufacturing, and public safety. Role Overview As a Solution Architect , you will play a pivotal role in designing, developing, and deploying scalable and innovative AI/ML and IoT-driven solutions. You will bridge the gap between client requirements, product capabilities, and technical implementation. Working closely with engineering, product, and business teams, you'll ensure that our solutions are both technically robust and aligned with customer objectives. Key Responsibilities Solution Design & Architecture Design end-to-end system architectures integrating Edge AI , IoT , and cloud components. Evaluate and recommend suitable technologies to meet performance, scalability, and security requirements. Create architectural blueprints, data flow diagrams, deployment strategies, and tech stack documentation. Client Engagement & Pre-sales Support Collaborate with sales and product teams to understand customer needs and propose tailored solutions. Present architectural strategies and prototypes to clients and stakeholders. Lead technical discussions, demos, and solution workshops with enterprise clients and government bodies. Project Implementation & Oversight Provide hands-on technical leadership throughout development and deployment. Review system designs and code to ensure alignment with architecture and project goals. Troubleshoot integration, deployment, and maintenance challenges. Cross-functional Collaboration Work with data scientists, DevOps, product managers, and UI/UX teams to align technology with business strategy. Define and enforce best practices in software development, CI/CD , and microservices . Documentation & Governance Maintain comprehensive technical documentation, architectural decision records, and risk assessments. Ensure compliance with security standards, data privacy regulations, and SLAs. Key Qualifications Bachelor’s or Master’s degree in Computer Science , Engineering , or related field. 4+ years of experience in technical solution design and development, including 2+ years in a solution architecture or technical leadership role. Proven experience in Edge Computing , AI/ML , or Computer Vision systems. Strong understanding of microservices architecture , containerization (Docker, Kubernetes) , and cloud platforms (AWS, Azure, GCP). Familiarity with IoT protocols (MQTT, RTSP, WebSockets) and real-time streaming systems (Kafka, RTSP, WebRTC). Proficiency in backend development using Python , Java , or Node.js ; exposure to front-end technologies is a plus. Knowledge of DevOps practices , CI/CD pipelines , Git, Terraform, and Ansible. Experience integrating APIs, managing SQL/NoSQL databases , and designing distributed systems. Excellent analytical, communication, and stakeholder engagement skills. Preferred Skills Experience with AI video analytics platforms and IIoT/IoT ecosystems. Exposure to Edge AI hardware like NVIDIA Jetson, Xavier, or Orin platforms. AWS Solutions Architect certification (or equivalent) is a strong plus. Understanding of government and enterprise procurement processes and handling large-scale deployments. Why Join Citriot.ai? Be part of a fast-growing AI tech company solving real-world challenges. Work on cutting-edge technologies in computer vision, edge computing, and real-time analytics. Competitive salary and performance-based growth opportunities. Collaborate with passionate innovators in a high-impact culture. Make a tangible difference in smart cities , logistics , and public safety domains. Apply Now and help us build the next generation of intelligent infrastructure. Website: www.citriot.ai Email: [email protected] Job Type: Full-time Pay: From ₹70,000.00 per month Benefits: Life insurance Provident Fund Schedule: Day shift Supplemental Pay: Overtime pay Performance bonus Quarterly bonus Yearly bonus Expected Start Date: 01/08/2025
Job Title: Solution Architect Experience: 4+ Years Location: Bangalore, India Company: Citriot.ai Employment Type: Full-time About Citriot.ai At Citriot.ai, we're shaping the future of intelligent infrastructure and real-time AI-powered systems. Our mission is to enable enterprises, public systems, and industries to harness computer vision and deep learning at the edge delivering smart, scalable, and secure solutions. Headquartered in Bangalore, we specialize in edge AI, video intelligence, and digital transformation solutions for sectors like transportation, logistics, manufacturing, and public safety. Role Overview As a Solution Architect at Citriot.ai, youll design, develop, and deploy scalable AI/ML and IoT solutions. You will bridge the gap between customer needs, product capabilities, and technical implementation, collaborating with cross-functional teams to create impactful architectures. Key Responsibilities 1. Solution Design & Architecture Design end-to-end system architectures integrating edge AI, IoT, and cloud components. Evaluate and select the right technologies/frameworks for performance, scalability, and security. Prepare architectural blueprints, data flow diagrams, deployment strategies, and tech stack recommendations. 2. Client Engagement & Pre-sales Support Collaborate with sales/product teams to understand client needs and propose tailored solutions. Present architectural strategies and prototypes to clients and stakeholders. Lead technical discussions, demos, and workshops with enterprise/government clients. 3. Project Implementation & Oversight Provide hands-on technical leadership during development and deployment. Review code and system design for compliance with architectural principles. Troubleshoot complex issues during integration, deployment, and maintenance. 4. Cross-functional Collaboration Work with data scientists, DevOps, product managers, and designers to align tech direction with business goals. Define and enforce best practices in software engineering, CI/CD, and microservices deployment. 5. Documentation & Governance Produce technical documentation, architectural decision records, and risk assessments. Ensure compliance with security standards, data privacy laws, and SLAs. Key Qualifications Bachelor’s/Master’s degree in Computer Science, Engineering, or related field. 4+ years in designing & developing technical solutions (2+ years in architecture/technical leadership). Strong background in edge computing, computer vision, or AI/ML systems . Deep understanding of microservices, containerization (Docker, Kubernetes) , and cloud platforms (AWS, Azure, GCP) . Experience with IoT protocols (MQTT, RTSP, WebSockets) and real-time streaming (Kafka, WebRTC). Proficiency in Python, Java, or Node.js (frontend familiarity is a plus). Knowledge of DevOps, CI/CD pipelines, Git, Terraform, Ansible . Strong skills in API integrations, SQL/NoSQL databases, and distributed systems. Preferred Skills Experience with AI video analytics platforms and IIoT/IoT. Exposure to NVIDIA Jetson/Xavier/Orin or other edge AI hardware. AWS Solutions Architect (or equivalent) certification. Understanding of enterprise/government procurement and large-scale rollouts. Why Join Citriot.ai? Be part of a fast-growing AI tech company creating real-world impact. Work with cutting-edge tech in computer vision, edge computing, and real-time analytics. Competitive compensation + performance-based growth. Collaborative, innovation-driven culture. Opportunity to make a visible impact in smart cities, logistics, and public safety domains.
Position: Business Development Manager IoT & AI (Manufacturing & Facility Management) Location: Mumbai, Pune (On-site), Bangalore Experience: 8+ years in Industrial IoT Employment Type: Full-time About Citriot Citriot is at the forefront of AI-driven solutions , leveraging advanced machine learning, deep learning, and edge AI to drive innovation across industries. Our expertise spans computer vision, NLP, and smart technology integration , delivering solutions that boost operational efficiency, sustainability, and cost-effectiveness for clients worldwide. Role Overview We are seeking an experienced and results-oriented Business Development Manager with deep expertise in Industrial IoT and AI solutions for manufacturing and facility management. This role involves identifying opportunities, building strategic partnerships, and driving adoption of smart technologies that transform manufacturing operations and facility management. Key Responsibilities 1. Strategic Business Development Identify and evaluate growth opportunities in Industrial IoT and AI for manufacturing and facility management. Develop and execute robust business development strategies aligned with company goals. Analyze market trends, competitor activities, and customer needs to inform decision-making. 2. Client Acquisition & Engagement Build and nurture long-term relationships with decision-makers in target sectors. Collaborate with clients to understand challenges and design tailored IoT and AI solutions. Lead presentations, demos, and solution workshops. 3. Solution Expertise & Innovation Work with internal teams to customize and deploy Industrial IoT and AI solutions (predictive maintenance, energy optimization, asset tracking). Advocate for adoption of technologies that enhance equipment efficiency, reduce downtime, and improve energy management. Stay updated on advancements in IIoT, machine learning, and smart building technologies. 4. Partnerships & Ecosystem Building Establish alliances with technology providers, system integrators, and facility management companies. Co-develop innovative solutions for manufacturing plants and smart facilities. Represent Citriot at industry forums, conferences, and events. 5. Performance Tracking & Reporting Monitor sales performance, market dynamics, and ROI of implemented solutions. Use CRM tools to track pipeline and align with revenue goals. Provide insights and recommendations to senior management. Skills & Competencies In-depth knowledge of Industrial IoT & AI applications in manufacturing (predictive maintenance, digital twins, smart factories) and facility management (energy efficiency, building automation, security). Strong communication, negotiation, and relationship management skills. Ability to translate complex customer needs into effective solutions. Knowledge of industry regulatory standards and compliance. Proficiency in CRM tools and data-driven sales strategies. Preferred Qualifications Engineering background preferred. Proven experience in implementing Industrial IoT solutions for Industry 4.0 initiatives. Familiarity with Building Management Systems (BMS), energy monitoring tools, and AI-powered analytics. Global business exposure with understanding of manufacturing processes and facility operations. What We Offer Competitive compensation with performance-based bonuses. Opportunity to work with cutting-edge technologies shaping the future of manufacturing and facility management. A collaborative environment with ample opportunities for professional growth. Join us to drive innovation and transform the manufacturing and facility management landscape with IoT and AI!
Position : AI/ML & Robotics Automation Engineer Industrial Automation Location: Bangalore (On-Site) Experience Level: 3 - 4 + years in Industrial IoT Employment Type: Full-time About Citriot Citriot is a pioneering deep tech company specializing in Industrial Internet of Things (IIoT), Computer Vision, AI/ML, and Industrial Automation. We develop cutting-edge solutions for predictive maintenance, equipment monitoring, and anomaly detection across automotive, oil & gas, pharmaceuticals, chemicals, metals, and manufacturing industries. Citriot is revolutionizing industrial operations through deep tech convergence of IIoT, AI/ML, Computer Vision, and Industrial Automation. Our solutions enable predictive maintenance and intelligent automation across diverse manufacturing sectors. Position Overview We are seeking a talented AI/ML Engineer and Robotics Automation Engineer to design, develop, and deploy machine learning models and robotic automation systems for industrial automation applications. You will work on challenging problems involving predictive analytics, computer vision, intelligent automation systems, autonomous robotics, and collaborative industrial solutions. Key Responsibilities AI/ML Responsibilities: Design and develop AI/ML models for predictive maintenance, anomaly detection, and equipment monitoring Implement computer vision solutions for quality inspection, defect detection, and visual surveillance Build and optimize deep learning models (CNN, RNN, LSTM, Transformers) for industrial applications Develop time-series analysis and forecasting models for sensor data from IIoT devices Deploy ML models on edge devices and cloud infrastructure with scalability considerations Integrate AI/ML solutions with existing IIoT platforms and industrial automation systems Collaborate with robotics and automation teams to implement intelligent control systems Perform data preprocessing, feature engineering, and model validation on industrial datasets Monitor model performance in production and implement continuous improvement strategies Document technical specifications, model architectures, and deployment procedures Robotics Responsibilities: Design and develop robotic automation systems for industrial applications Implement robot control algorithms and motion planning systems Integrate computer vision and AI/ML models with robotic systems for intelligent decision-making Develop autonomous navigation and obstacle avoidance solutions Program and configure industrial robots (6-axis arms, collaborative robots, AGVs/AMRs) Design and implement robotic end-effectors and custom gripper mechanisms Integrate sensors (LiDAR, cameras, force/torque sensors) with robotic systems Develop simulation environments for robot testing and validation Implement safety protocols and fail-safe mechanisms for human-robot collaboration Collaborate with AI/ML teams to deploy perception and decision-making models on robots Optimize robot trajectories and cycle times for manufacturing efficiency Provide technical support for deployed robotic systems and troubleshoot issues Required Qualifications Bachelor's or Master's degree in Computer Science, Data Science, Electrical Engineering, Robotics, Mechatronics, or related field 2-5 years of hands-on experience in AI/ML development or robotics/automation engineering (freshers with exceptional skills may be considered) Strong proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn, Keras) Experience with computer vision libraries (OpenCV, PIL, YOLO, ResNet) Strong knowledge of robotics fundamentals: kinematics, dynamics, control theory Experience with robot programming (ROS/ROS2, Python, C++) Proficiency in motion planning and path optimization algorithms Solid understanding of machine learning algorithms, deep learning architectures, and statistical methods Experience with industrial robots (ABB, KUKA, Fanuc, Universal Robots) or mobile robots Knowledge of computer vision integration for robotic perception Experience with data preprocessing, feature engineering, and model optimization techniques Knowledge of MLOps practices and tools (MLflow, Kubeflow, Docker, Kubernetes) Familiarity with cloud platforms (AWS, Azure, GCP) and edge computing Understanding of control systems (PID, MPC, adaptive control) Experience with simulation tools (Gazebo, CoppeliaSim, MATLAB/Simulink) Strong programming skills and understanding of data structures and algorithms Preferred Qualifications Experience in industrial automation, manufacturing, or process industries Knowledge of IIoT protocols (MQTT, OPC-UA, Modbus) and sensor integration Experience with edge AI deployment on devices like NVIDIA Jetson, Raspberry Pi, or industrial controllers Familiarity with time-series databases (InfluxDB, TimescaleDB) and real-time analytics Experience with reinforcement learning for control systems Understanding of industrial processes and maintenance practices Publications or contributions to AI/ML open-source projects Knowledge of explainable AI (XAI) and model interpretability techniques Experience with collaborative robots (cobots) and human-robot interaction Knowledge of AI/ML integration with robotic systems Experience with SLAM, sensor fusion, and autonomous navigation Familiarity with industrial automation protocols (PLC, SCADA, OPC-UA) Experience in manufacturing environments (automotive, electronics, logistics) Knowledge of mechanical design and CAD tools (SolidWorks, AutoCAD) Experience with embedded systems and real-time operating systems Familiarity with IIoT integration and Industry 4.0 concepts Certification in industrial robot programming or safety Technical Skills AI/ML Technical Skills: Languages: Python, C++, Java, SQL ML Frameworks: TensorFlow, PyTorch, Scikit-learn, Keras, XGBoost Computer Vision: OpenCV, YOLO, Mask R-CNN, ResNet, EfficientNet Tools: Jupyter, Git, Docker, Kubernetes, Apache Spark Databases: PostgreSQL, MongoDB, InfluxDB, Redis Cloud: AWS SageMaker, Azure ML, Google Cloud AI Platform Robotics Technical Skills: Robotics: ROS/ROS2, MoveIt, Navigation Stack, TF, URDF Programming: Python, C++, MATLAB, LabVIEW Simulation: Gazebo, CoppeliaSim, V-REP, MATLAB/Simulink Computer Vision: OpenCV, PCL (Point Cloud Library) Control Systems: PID tuning, state-space control, trajectory planning Hardware: LiDAR, depth cameras, IMU, encoders, actuators Tools: Git, Docker, Linux, CMake Protocols: Modbus, Ethernet/IP, OPC-UA, MQTT Join our team to drive innovation and transform the manufacturing and facility management landscape with IoT and AI!