Company Description Wasteful Insights is innovating waste management processes by leveraging AI and robotics to improve waste sorting and tracking. Our mission is to boost recycling rates and economically recover recyclable materials for a more environmentally friendly future. Location : Vadodara, Gujarat Start Date : Immediate Duration : 6 months First 3 months : Unpaid training period Post 3 months : Performance-based stipend will be offered, depending on contribution and initiative Possibility of extension or full-time role based on performance and company requirements Role Description We’re looking for a proactive and organized Trainee to support the backbone of our internal operations. This role is focused on documenting processes, assisting in policy creation, and helping streamline how the company functions day-to-day. From tracking assets and drafting SOPs to supporting budgeting and software release processes, you’ll work closely with leadership and cross-functional teams to bring structure and clarity to our internal workflows. This is a great opportunity for someone who enjoys working behind the scenes to keep things running smoothly and wants to learn how startups build systems as they grow. Key Responsibilities Help draft and organise internal policies (asset tracking, software release processes, etc.) Maintain and update internal documentation (SOPs, handbooks, checklists) Assist in preparing budgeting and planning sheets for projects or teams Coordinate with tech and operations teams to ensure smooth documentation flow Support internal audits and process improvements as needed Qualifications Strong attention to detail and a process-oriented mindset Good written communication skills (English proficiency is a must) Comfort with Google Docs, Sheets, Notion, or similar documentation tools Basic understanding of software development lifecycle is a plus Freshers , background in business, operations, or documentation preferred
Job description: Job Location: Makarpura GIDC, Vadodara, Gujarat Experience Required: 1–2 years Position Type: Full-time About Us At Wastefull Insights, we are on a mission to transform waste management through Automation, Robotics, and AI, working toward achieving zero waste in landfills. If you are passionate about creating a positive impact on the world and driven to apply your AI expertise for meaningful change, we’d love to have you on our team. Role Overview We are seeking a Computer Vision Engineer with strong foundations in Computer Vision (CV), Deep Learning (DL), and Machine Learning (ML). The role combines dataset engineering, annotation automation, and AI model development with deployment of optimized solutions for real-world industrial environments. You will play a key role in building, training, and deploying CV models that power our waste sorting systems. Responsibilities Develop and optimize computer vision models for object detection, segmentation, and defect classification. Own the end-to-end model lifecycle – data preprocessing, annotation workflows, training, validation, and deployment. Automate dataset curation, annotation tasks (CVAT), and preprocessing pipelines. Manage dataset lifecycle on AWS S3, ensuring proper versioning, synchronization, and quality checks. Convert trained models into ONNX/TensorRT formats and benchmark for edge deployments. Collaborate with robotics and software teams to integrate CV models into production pipelines. Maintain documentation and reports on datasets, experiments, and deployment workflows. Skills & Qualifications Bachelor’s/Master’s in Computer Science, Electronics, Electrical, or related field. 1–2 years of experience in computer vision / AI model development. Proficiency in Python (PyTorch, OpenCV, NumPy); familiarity with C/C++ is a plus. Hands-on experience with annotation tools (CVAT preferred) and dataset pipelines. Knowledge of AWS S3, Docker, and cloud-based workflows. Experience with model optimization and deployment on edge devices. Strong problem-solving, debugging, and teamwork skills. Nice-to-Have Familiarity with MLflow / Weights & Biases for experiment tracking. Knowledge of sensor data acquisition / hardware integration. Basic understanding of GPU parallelization and neural network optimization. What We Offer Opportunity to work on cutting-edge AI for sustainability and waste management. Direct ownership of impactful AI projects deployed in real-world environments. Collaborative, fast-paced team culture with exposure to robotics and automation. Job Type: Full-time Ability to commute/relocate: Makarpura, Vadodara, Gujarat: Reliably commute or planning to relocate before starting work (Required) Experience: computer vision / AI model development: minimum 1 to 2 years (Required) Language: Hindi and English (Required) Shift availability: Day Shift (Required) Work Location: onsite
As a Computer Vision Engineer at Wastefull Insights, you will be at the forefront of transforming waste management through Automation, Robotics, and AI. Your expertise in Computer Vision, Deep Learning, and Machine Learning will be instrumental in developing and optimizing computer vision models for object detection, segmentation, and defect classification. Your role will involve automating dataset curation, annotation tasks, and preprocessing pipelines to deploy optimized solutions for real-world industrial environments. Key Responsibilities: - Develop and optimize computer vision models for object detection, segmentation, and defect classification. - Own the end-to-end model lifecycle including data preprocessing, annotation workflows, training, validation, and deployment. - Automate dataset curation, annotation tasks, and preprocessing pipelines. - Manage dataset lifecycle on AWS S3 with proper versioning, synchronization, and quality checks. - Convert trained models into ONNX/TensorRT formats and benchmark for edge deployments. - Collaborate with robotics and software teams to integrate CV models into production pipelines. - Maintain documentation and reports on datasets, experiments, and deployment workflows. Qualifications Required: - Bachelors/Masters in Computer Science, Electronics, Electrical, or related field. - 12 years of experience in computer vision / AI model development. - Proficiency in Python (PyTorch, OpenCV, NumPy); familiarity with C/C++ is a plus. - Hands-on experience with annotation tools (CVAT preferred) and dataset pipelines. - Knowledge of AWS S3, Docker, and cloud-based workflows. - Experience with model optimization and deployment on edge devices. - Strong problem-solving, debugging, and teamwork skills. Nice-to-Have: - Familiarity with MLflow / Weights & Biases for experiment tracking. - Knowledge of sensor data acquisition / hardware integration. - Basic understanding of GPU parallelization and neural network optimization. At Wastefull Insights, you will have the opportunity to work on cutting-edge AI projects for sustainability and waste management. You will directly own impactful AI projects deployed in real-world environments, within a collaborative, fast-paced team culture with exposure to robotics and automation. Join us in our mission to achieve zero waste in landfills through innovative technology solutions.,
About Wastefull Insights At Wastefull Insights, we’re transforming waste management through intelligent automation and robotics. Our AI-driven robotic systems identify and sort materials with high precision, helping industries reduce waste and improve sustainability. We’re looking for engineers who enjoy hands-on work with robotics and thrive at the intersection of hardware, software, and real-world applications. Location: Vadodara , Gujarat Type: Full-time Role Overview We are seeking a Robotics Deployment Engineer who can lead on-site robotic deployments and work across disciplines — electrical, mechanical, and software. The role involves working with cameras, sensors, motors, drives, PLCs, and robotic arms , while interacting directly with clients to ensure smooth system integration and commissioning. Key Responsibilities Lead installation, integration, and calibration of robotic systems at client sites. Work with cameras, sensors, motors, drives, and electrical panels for deployment and testing. Engage directly with clients to understand requirements and adapt solutions accordingly. Collaborate with mechanical, electrical, and software teams for full system integration. Conduct client site visits for setup, troubleshooting, and performance optimization. Review and understand mechanical CAD drawings for mounting, alignment, and component placement. Develop and maintain SOPs, deployment checklists, and process documentation . Handle multiple projects simultaneously with a focus on execution quality and timelines. Integrate and troubleshoot PLC systems and industrial communication protocols ( Modbus , Profinet , CAN , Serial , etc.). Work with Linux-based systems for robot control, networking, and diagnostics. Required Skills & Experience Strong foundation in PLC systems , industrial automation , and electrical integration . Proficiency in Python programming and basic automation scripting. Familiarity with Linux environments and command-line tools. Hands-on experience with robotic arms or industrial robots (beyond Arduino-level projects). Understanding of mechanical CAD models or drawings (SolidWorks, Fusion 360, AutoCAD, etc.). Knowledge of motors, drives, sensors, and control wiring . Experience with industrial protocols (Modbus, Profinet, CAN, Serial). Excellent problem-solving, communication, and client interaction skills. Ability to handle field work and manage multiple projects independently. Preferred Qualifications Experience with ROS , machine vision , or AI-based automation systems . Prior exposure to robotic commissioning or system integration in industrial settings. Diploma or Bachelor’s in Mechatronics, Electrical, Mechanical, or Robotics Engineering . Willingness to travel frequently for deployments and client support. Why Join Us Be part of a mission-driven startup creating intelligent robotic solutions for sustainability. Work directly with industrial robots, cameras, and AI-driven automation systems . Get hands-on exposure to mechanical, electrical, and software integration. Grow in a fast-paced, collaborative environment shaping the future of waste automation .
Job Title Senior Computer Vision / AI Engineer Location Vadodara, GJ Experience 5+ years of relevant experience Role Summary We are seeking a highly experienced engineer to lead the design, development and deployment of advanced computer-vision and AI systems. The role will require hands‐on algorithm work, productionising models, mentoring teams, and collaborating closely with cross-functional stakeholders. Key Responsibilities Lead the end‐to‐end computer vision pipeline: data collection & annotation → model design/training → deployment (edge or cloud) → monitoring & maintenance. Develop and optimise deep learning and classical computer vision algorithms for tasks such as object detection, segmentation, tracking, OCR, pose estimation, sensor fusion, 3D vision. Integrate vision/AI modules into software systems and hardware (e.g., embedded/edge devices, multi‐camera rigs). Collaborate with product, hardware and software teams to translate business/technical requirements into vision‐AI solutions. Optimise model inference: latency, throughput, memory/compute footprint, edge‐deployment constraints. Stay current with state‐of‐the‐art in computer vision and AI, evaluate new techniques and adapt them into products. Required Qualifications & Skills Bachelor’s or preferably Master’s/PhD in Computer Science, Electrical Engineering, Computer Vision, AI or related STEM discipline. Typically 5+ years of relevant experience in computer vision / deep learning / AI in production settings. Proficiency in programming (Python mandatory; C++/Java or equivalent desirable). Strong experience with deep learning frameworks (TensorFlow, PyTorch, Keras) and computer vision libraries (OpenCV, etc.). Solid mathematical foundations: linear algebra, probability, optimisation, signal/image processing. Experience deploying models to production: cloud (AWS/GCP/Azure) or edge/embedded environments. Ability to collaborate across functions, communicate effectively, and lead technical discussions. Nice-to-Have Experience in sensor fusion, multi‐camera systems, 3D vision, LiDAR/depth data. Experience with real-time video analytics, streaming inference, model quantisation/acceleration (e.g., TensorRT, ONNX, OpenVINO). Experience with edge devices (Jetson, Coral, FPGA) or embedded image processing pipelines. Publications or strong portfolio of vision/AI work, participation in open source or research community. Why Join Us? Large scale data, real products and deployments (not just prototypes). Growth into leadership (Architect, Head of Vision, etc) as your solutions scale.
Senior Robotics Software Engineer Vadodara, Gujarat, India 2–3 years of experience (Mandatory) Full-time | On-site About Wastefull Insights At Wastefull Insights, we build intelligent automation and AI systems for sustainable waste sorting — combining robotics, computer vision, and AI to improve efficiency and material recovery. Our mission is simple yet ambitious: to make waste management smarter, faster, and more sustainable. Role Overview As a Senior Robotics Software Engineer, you’ll design and deploy advanced robotic vision systems, integrating cameras, GPUs, and AI models into real-world robotic platforms. You’ll work hands-on across hardware and software layers — from vision system design and ROS-based control, to AI model deployment and full robotic system integration. Key Responsibilities Select and integrate vision hardware (cameras, GPUs, encoders, lighting). Develop and deploy Vision AI pipelines for robotic perception. Build and optimize ROS/ROS2 nodes for motion, trajectory planning, and data collection. Collaborate closely with AI and hardware teams for end-to-end system deployment. Calibrate and tune sensors; oversee field testing and deployment. Work with IMUs, LiDARs, servo motors, and drive controllers. Utilize Docker and cloud services for scalable deployment and monitoring. Implement and maintain communication protocols (Modbus, CAN, TCP/IP, etc.). Requirements 2–3 years of experience in robotics software development. Strong programming skills in C++ and Python. Proficiency in ROS/ROS2 frameworks. Solid understanding of GPU computing and deployment frameworks. Hands-on experience with LiDAR, cameras, and other robotic sensors. Knowledge of motion control, real-time perception, and hardware integration. Familiarity with Docker and cloud platforms (AWS, GCP, or Azure). Experience with industrial communication protocols (Modbus, CAN, TCP/IP). Why Join Us Build cutting-edge robotic vision systems that enable smarter waste sorting. Work at the intersection of AI, automation, and sustainability. Grow into Lead Engineer, System Architect, or Technical Manager roles. Be part of a mission-driven, fast-moving startup making a tangible environmental impact.
Job Title Senior Mechanical Design Engineer Location Vadodara,GJ Experience 2 - 3+ years Role Summary We are looking for an experienced mechanical design engineer to lead the design, development and production of mechanical systems and components—from concept to production. This role involves system-level thinking, hands-on CAD modelling, analysis and manufacturing integration, mentoring junior engineers, and collaborating across hardware, manufacturing, quality & supply-chain teams. Responsibilities Lead conceptual, detailed and assembly mechanical design of products/components, including CAD modelling and drawing generation (2D/3D) for production. Define and select materials, manufacturing processes (machining, casting, sheet-metal, injection moulding, forgings, welded fabrications) and ensure designs are cost-effective and manufacturable. Perform engineering calculations and simulations: structural, thermal, tolerance stack-up, GD&T, FEA or equivalent to validate design robustness. Create and manage Bills of Materials (BOMs), component specifications, vendor drawings, and documentation for New Product Development (NPD) or sustainment projects. Engage in the product development lifecycle: concept → embodiment → detail → prototyping → testing → manufacturing handover → field support. Review and approve design changes, participate in design reviews, ensure compliance with applicable standards/regulations (industry specific). Collaborate closely with cross-functional teams: manufacturing/operations, sourcing, quality, supply chain, test/validation to ensure design intent is maintained. Continuously monitor new technologies, manufacturing innovations and material/process trends, and suggest improvements. Coordinate with vendors and clients. Required Qualifications & Skills Bachelor’s or Master’s degree in Mechanical Engineering or a closely related discipline. 2 - 3+ years of relevant mechanical design experience (depending on level) in product/industrial design, preferably in an OEM or manufacturing environment. Proficiency in CAD software (e.g., SolidWorks, Creo, AutoCAD) for 3D modelling and drawing creation. Strong understanding of GD&T (geometric dimensioning & tolerancing), tolerance stack-up, material selection, manufacturing processes and design for manufacturability. Experience with mechanical analyses (structural, thermal, FEA) and simulation tools is a plus. Excellent problem-solving, analytical thinking and attention to detail. Good communication and collaboration skills; ability to work cross-functionally and manage multiple deliverables. Self-driven, able to take ownership and lead projects with minimal supervision. Nice-to-Have Experience in specific domain relevant to your business (e.g., automotive, aerospace, medical devices, consumer electronics, heavy machinery). Knowledge of embedded systems integration, mechatronics, actuators/sensors interfaces if relevant. Exposure to PLM/PDM systems. Experience with rapid prototyping, tooling development, vendor management. Familiarity with regulatory/industry standards (ISO, ASTM, etc.). Prior experience mentoring or leading a small design team. Why Join Us? Opportunity to own and drive mechanical design from concept to production in a dynamic environment. Work with cross-discipline teams and see your designs turn into real products. Exposure to latest CAD/CAE tools, manufacturing technologies and best practices.