13 Pcl Jobs

Managing the AP and GL function Overseeing the month end balance sheet reconciliations process and SOX compliance Process improvements including ERP Managing and coaching the team of 15 team members including 4-5 direct reports Participating in strategic initiatives of the organization and contributing to it Review variance analysis of PCL and Balance Sheet Converting data points into meaningful outputs / targets for optimizing costs / driving efficiencies Front ending with the Auditors and other stakeholders (internal and external) Review analysis of various items on the PCL and Balance Sheet and its impact on the consolidated financials Understanding the different businesses of Zeta and interacting with the internal / external stakeholders for any clarification / updates Skillset required: CA / CPA / MBA with 7-10 years of experience working with corporate accounting teams of (preferably) US tech companies Managing the AP and GL function deeply involved in the flow of transactions for the AP and GL process including but not limited to reversal and creation of accruals for month end or quarter end / amortization of prepaid expenses / US payroll accounting and fringe benefits associated with the same, Fixed asset management, review of PCL and BS including variance analysis, calculation of various ratios, compilation / review of debt related covenants, review of credit card transactions etc Has to be hands on for transactional accounting considering the fact that multiple business units have different sources of costs with manual interfaces with the sub systems, 1000s of vendors being dealt with on a monthly basis with the same vendor servicing multiple business units at the same time, correlation of revenue and costs to understand the gross margin implications, supporting the business in terms of proactive communication in case of any disconnect, engagement in due diligence during the time of any potential acquisition etc Overseeing the month end balance sheet reconciliations process and SOX compliance understand the current processes and improvise on the same by technology enhancements / AI Process improvements including ERP to make the processes more scalable and adaptable Managing and coaching the team of 15 team members including 4-5 direct reports must have a problem solving attitude with an eye on increasing the productivity from the existing team should lead by example and take ownership Participating in strategic initiatives of the organization and contributing to it especially during the time of major transactions like reorganization / due diligence for an acquisition Review variance analysis of PCL and Balance Sheet fully conversant with different line items on the PCL and BS what are the sources or inputs of the same and how does those translate into different line items on the financials Converting data points into meaningful outputs / targets for optimizing costs / driving efficiencies Front ending with the Auditors and other stakeholders (internal and external) ensuring there are no escalations and the audit process is managed in the best possible manner Understanding the different businesses of Zeta and interacting with the internal / external stakeholders for any clarification / updates.

Managing the AP and GL function Overseeing the month end balance sheet reconciliations process and SOX compliance Process improvements including ERP Managing and coaching the team of 15 team members including 4-5 direct reports Participating in strategic initiatives of the organization and contributing to it Review variance analysis of PCL and Balance Sheet Converting data points into meaningful outputs / targets for optimizing costs / driving efficiencies Front ending with the Auditors and other stakeholders (internal and external) Review analysis of various items on the PCL and Balance Sheet and its impact on the consolidated financials Understanding the different businesses of Zeta and interacting with the internal / external stakeholders for any clarification / updates Skillset Required CA / CPA / MBA with 7-10 years of experience working with corporate accounting teams of (preferably) US tech companies Managing the AP and GL function deeply involved in the flow of transactions for the AP and GL process including but not limited to reversal and creation of accruals for month end or quarter end / amortization of prepaid expenses / US payroll accounting and fringe benefits associated with the same, Fixed asset management, review of PCL and BS including variance analysis, calculation of various ratios, compilation / review of debt related covenants, review of credit card transactions etc Has to be hands on for transactional accounting considering the fact that multiple business units have different sources of costs with manual interfaces with the sub systems, 1000's of vendors being dealt with on a monthly basis with the same vendor servicing multiple business units at the same time, correlation of revenue and costs to understand the gross margin implications, supporting the business in terms of proactive communication in case of any disconnect, engagement in due diligence during the time of any potential acquisition etc Overseeing the month end balance sheet reconciliations process and SOX compliance understand the current processes and improvise on the same by technology enhancements / AI Process improvements including ERP to make the processes more scalable and adaptable Managing and coaching the team of 15 team members including 4-5 direct reports must have a problem solving attitude with an eye on increasing the productivity from the existing team should lead by example and take ownership Participating in strategic initiatives of the organization and contributing to it especially during the time of major transactions like reorganization / due diligence for an acquisition Review variance analysis of PCL and Balance Sheet fully conversant with different line items on the PCL and BS what are the sources or inputs of the same and how does those translate into different line items on the financials Converting data points into meaningful outputs / targets for optimizing costs / driving efficiencies Front ending with the Auditors and other stakeholders (internal and external) ensuring there are no escalations and the audit process is managed in the best possible manner Understanding the different businesses of Zeta and interacting with the internal / external stakeholders for any clarification / updates

As an Analytics Engineer, you will be responsible for developing and optimizing AI and machine learning models for image understanding and analytics. Your role will involve implementing computer vision techniques for 3D data processing, conducting research and innovation in AI applications, integrating AI-based analytics into software solutions, and collaborating with cross-functional teams while providing mentorship and expertise. In this role, you will develop and optimize deep learning models for object detection, semantic segmentation, and classification. You will apply machine learning algorithms to large-scale 2D/3D datasets for image understanding and analytics. Additionally, you will train, validate, and improve AI models using TensorFlow, PyTorch, Caffe, OpenCV, and PCL. You will design and implement computer vision techniques for 3D reconstruction, photogrammetry, and point cloud analytics. Developing algorithms for geospatial data processing, projective geometry, and deep learning on 3D data will be part of your responsibilities. Furthermore, you will optimize computational efficiency for handling large-scale 3D datasets. Staying updated on the latest advancements in AI, computer vision, and machine learning will be essential in this role. You will participate in internal and publicly funded research projects to enhance AI-based analytics for linear infrastructures and transfer academic research findings into real-world AI applications. Extending and integrating AI-based analytics into existing software solutions will be a key aspect of your role. You will develop production-ready implementations using Python, C/C++, and Matlab in a Linux environment, ensuring scalability, performance, and reliability of deployed AI/ML models. Collaborating closely with cross-functional teams, including data scientists, software engineers, and domain experts, will be crucial. You will provide expertise in reviewing scientific literature and algorithm development while also mentoring junior team members. To be successful in this role, you should have a Bachelor's or Master's degree in computer science, Data Science, Engineering, or a related field. You should possess 5+ years of research experience in deep learning, machine learning, or related areas, focusing on developing and scaling innovative AI solutions. Strong programming skills in Python, C/C++, and Matlab are required, along with proven experience in AI and machine learning, particularly in computer vision and 3D data processing. Familiarity with deep learning frameworks such as TensorFlow and PyTorch, experience with large-scale data processing and optimization techniques, and knowledge of geospatial data processing and projective geometry are also necessary. Strong communication skills and the ability to mentor junior team members will be beneficial in this role.,

Join our specialized team as a Computer Vision and 3D Engineering Intern focused on multi-camera systems, calibration, and triangulation. This role offers hands-on experience with cutting-edge 3D reconstruction and spatial computing technologies. Responsibilities: - Develop and implement algorithms for multi-camera systems - Work on camera calibration techniques and procedures - Create and optimize 3D triangulation methods - Assist in testing and validating computer vision implementations - Contribute to research and development of new spatial computing approaches - Document technical processes and findings Requirements: - Currently pursuing a degree in Computer Science, Computer Vision, or related field - Strong foundation in computer vision concepts and 3D geometry - Experience with OpenCV, PCL, or similar computer vision libraries - Programming skills in C++ and/or Python - Understanding of camera models and calibration techniques - Mathematical background in linear algebra and geometry - Previous projects involving 3D reconstruction (preferred) What You'll Learn: - Professional multi-camera system development - Advanced calibration and triangulation methods - 3D reconstruction workflows - Practical implementation of theoretical computer vision concepts,

As an Application Software Engineer at Oceaneering India Center, you will be part of a dynamic and proactive software team. You will have the opportunity to work on various projects and enhance your technical skills. Your primary responsibility will be to design, develop, and maintain server-side software systems and APIs using programming languages such as C++, Python, and Rust. You will ensure that the software systems meet customer specifications and work within their site constraints. **Essential Duties And Responsibilities:** - Design, develop, and maintain server-side software systems and APIs. - Write efficient, scalable, and maintainable code using C++, Python, and Rust (Optional). - Extensive design and development skills in C++ 11, with knowledge of C++ 14/C++17 being an added advantage. - Thorough understanding of the standard library, STL containers, and algorithms. - Solid grasp of complexity theory (big-O) of algorithms and performance tuning. - Experience in multi-threaded software development and synchronization objects. - Knowledge of OpenCV, CUDA, PCL, and experience with Image processing / Computer Vision is a plus. - Experience with docker, podman, Kubernetes, MQTT, DDS, ROS, ROS2 is a plus. **Qualifications:** **Required:** - Bachelor / Master degree in Computer Science, Automation Technology, or Information Technology. - 0-1 years of experience in writing application software for technical applications. - Understanding of networking hardware and software including UDP and TCP. - Ability to read, understand, debug, and modify existing product code. - Experience with writing requirements, design documentation, and test cases. **Desired:** - Experience with programming in Linux, version control systems (preferably GitHub). - Knowledge of object-oriented analysis & design methodologies and design patterns. - Proficiency in C++, Java, and Python programming languages. - Basic understanding of front-end technologies (HTML, CSS, JavaScript). - Familiarity with software testing principles and practices. **Knowledge, Skills, Abilities, And Other Characteristics:** - Ensures important information is shared within the team. - Gives and receives constructive feedback. - Self-motivated, confident, and passionate. - Able to make decisions in conflicting situations and set priorities in a fast-paced environment. - Comfortable with ambiguity and able to provide vision and inspiration to peers and subordinates. Oceaneering offers equal employment opportunities and prioritizes learning and development opportunities for employees. Apply through the PeopleSoft or Oceanet portals. Join us in shaping the future of technology and engineering solutions on a global scale.,

The role of a SLAM Engineer at Peppermint Robotics involves developing autonomous navigation and mobility functions for robots designed for floor cleaning and material handling across various environments. You will be responsible for enhancing the capabilities of the navigation stack, refining mapping algorithms, and working on localization algorithms using different sensors to navigate dynamic environments such as airports, parking lots, warehouses, and malls. Integration and synchronization of data from sensors like Depth Camera, LiDARs, and IMUs with embedded development boards will be crucial to build a robust robot navigation system. The products you work on will be of world-class quality, manufactured in Pune (India), and distributed globally. Your key responsibilities will include developing and deploying localization, mapping, and calibration algorithms, staying updated with the latest advancements in robotics, collaborating with diverse teams for system integration, and optimizing algorithms for real-time performance. Hands-on experience with SLAM, robot navigation, sensor fusion, and various perception sensors will be essential for this role. Strong communication skills, a Bachelor's degree in Robotics, Computer Science, Electrical Engineering, or a related field, and at least 2 years of relevant experience are required. Proficiency in C++ programming, familiarity with Python, experience with ROS1 and/or ROS2, and a passion for developing software for cutting-edge robots are highly valued. You will report to the Lead - Robotics Engineer and collaborate with teams based in India, MEA, and the USA. Expect cross-team collaboration, hands-on learning, and professional attire in the office with necessary protective gear in the assembly area. As part of a fast-growing startup, you will be involved in planning and executing short and long-term robotic software plans and will be expected to align with Peppermint's work ethos, code of conduct, and culture of clear communication and continuous learning. If you are enthusiastic about working on a world-class product, possess a strong sense of curiosity, and are eager to learn and grow in the field of robotics, this role at Peppermint Robotics may be the perfect fit for you. To apply, please send your resume to allen.louis@peppermintrobotics.com.,

You should have a B.Tech, M.Tech, or higher degree in Computer Engineering, Computer Science, Electronics, Robotics Engineering, or related fields. Your written and verbal communication skills should be strong, and you should possess excellent problem-solving abilities. Proficiency in C++ for robotics and machine perception, along with knowledge in data structures and algorithms, is required. Extensive experience with OpenCV, PCL, and ROS2 is essential. You should be well-versed in Modern C++ with a deep understanding of features like RAII, STL, templates, etc. Experience in implementing Deep Learning Algorithms on GPU cluster for tasks like object detection and segmentation is necessary. Familiarity with Unix/Linux environments is a must, and you should be capable of developing software for real-time processing of sensor data from cameras, LIDAR, and other sensors. Your responsibilities will include building robust solutions to cutting-edge Autonomous driving problems and developing advanced algorithms for tasks like object detection, tracking, multi-task learning, distributed training, and multi-sensor fusion. Experience with developing production-ready software is a plus, along with maintaining large-scale libraries and working with parallel computing libraries like TBB and CUDA. Additional desirable qualifications include familiarity with linear algebra libraries such as Eigen, machine learning, software version management tools like Git, and agile development workflows and CI/CD processes.,

Job Summary We are seeking an Analytics Engineer who will be responsible for developing and optimizing AI and machine learning models for image understanding and analytics. This role involves implementing computer vision techniques for 3D data processing, conducting research and innovation in AI applications, integrating AI-based analytics into software solutions, and collaborating with cross-functional teams while providing mentorship and expertise. How You’ll Make an Impact (key responsibilities of role) AI & Machine Learning Development Develop and optimize deep learning models for object detection, semantic segmentation, and classification. Apply machine learning algorithms to large-scale 2D/3D datasets for image understanding and analytics. Train, validate, and improve AI models using TensorFlow, PyTorch, Caffe, OpenCV, and PCL. 3D Data Processing & Computer Vision Design and implement computer vision techniques for 3D reconstruction, photogrammetry, and point cloud analytics. Develop algorithms for geospatial data processing, projective geometry, and deep learning on 3D data. Optimize computational efficiency for handling large-scale 3D datasets. Research & Innovation Stay updated on the latest advancements in AI, computer vision, and machine learning. Participate in internal and publicly funded research projects to enhance AI-based analytics for linear infrastructures. Transfer academic research findings into real-world AI applications. Software Development & Integration Extend and integrate AI-based analytics into existing software solutions. Develop production-ready implementations using Python, C/C++, and Matlab in a Linux environment. Ensure scalability, performance, and reliability of deployed AI/ML models. Collaboration & Mentorship Work closely with cross-functional teams, including data scientists, software engineers, and domain experts. Provide expertise in reviewing scientific literature and algorithm development. What You Bring (required qualifications and skills) Bachelor’s or master’s degree in computer science, Data Science, Engineering, or a related field. 5+ years of research experience in deep learning, machine learning, or related areas, with a focus on developing and scaling innovative AI solutions. Strong programming skills in Python, C/C++, and Matlab. Proven experience in AI and machine learning, particularly in computer vision and 3D data processing. Familiarity with deep learning frameworks such as TensorFlow and PyTorch. Experience with large-scale data processing and optimization techniques. Knowledge of geospatial data processing and projective geometry. Strong communication skills and ability to mentor junior team members.

1.Proficiency in PyTorch, TensorFlow, and TensorRT for perception model deployment. 2. Experience with ADAS concepts in robotics or automotive environments. 3. Experience with embedded platforms 4. Perception for AMRs, autonomous vehicles.

Expected Notice Period : 15 Days Shift : (GMT+01:00) Europe/London (BST) Opportunity Type : Remote Placement Type: Full Time Contract for 6 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - UK's Leading AgriTech Company) What do you need for this opportunity? Must have skills required: AgriTech Industry, Large Language Models, Nvidia Jetson, Raspberry Pi, Blender, Computer Vision, OpenCV, Python, Pytorch/tensorflow, Segmentation, Extraction, Regression UK's Leading AgriTech Company is Looking for: Location: Remote Type: 6 months contract Experience Level : 35 Years Industry: Agritech | Sustainability | AI for Renewables About Us We're an AI-first company transforming the renewable and sustainable agriculture space. Our mission is to harness advanced computer vision and machine learning to enable smart, data-driven decisions in the livestock and agricultural ecosystem. We focus on practical applications such as automated weight estimation of cattle , livestock monitoring, and resource optimization to drive a more sustainable food system. Role Overview We are hiring a Computer Vision Engineer to develop intelligent image-based systems for livestock management, focusing on cattle weight estimation from images and video feeds. You will be responsible for building scalable vision pipelines, working with deep learning models, and bringing AI to production in real-world farm settings . Key Responsibilities Design and develop vision-based models to predict cattle weight from 2D/3D images, video, or depth data. Build image acquisition and preprocessing pipelines using multi-angle camera data. Implement classical and deep learning-based feature extraction techniques (e.g., body measurements, volume estimation). Conduct camera calibration, multi-view geometry analysis, and photogrammetry for size inference. Apply deep learning architectures (e.g., CNNs, ResNet, UNet, Mask R-CNN) for object detection, segmentation, and keypoint localization. Build 3D reconstruction pipelines using stereo imaging, depth sensors, or photogrammetry. Optimize and deploy models for edge devices (e.g., NVIDIA Jetson) or cloud environments. Collaborate with data scientists and product teams to analyze livestock datasets, refine prediction models, and validate outputs. Develop tools for automated annotation, model training pipelines, and continuous performance tracking. Required Qualifications & Skills Computer Vision: Object detection, keypoint estimation, semantic/instance segmentation, stereo imaging, and structure-from-motion. Weight Estimation Techniques: Experience in livestock monitoring, body condition scoring, and volumetric analysis from images/videos. Image Processing: Noise reduction, image normalization, contour extraction, 3D reconstruction, and camera calibration. Data Analysis & Modeling: Statistical modeling, regression techniques, and feature engineering for biological data. Technical Stack Programming Languages: Python (mandatory) Libraries & Frameworks: OpenCV, PyTorch, TensorFlow, Keras, scikit-learn 3D Processing: Open3D, PCL (Point Cloud Library), Blender (optional) Data Handling: NumPy, Pandas, DVC Annotation Tools: LabelImg, CVAT, Roboflow Cloud & DevOps: AWS/GCP, Docker, Git, CI/CD pipelines Deployment Tools: ONNX, TensorRT, FastAPI, Flask (for model serving) Preferred Qualifications Prior experience working in agritech, animal husbandry, or precision livestock farming. Familiarity with Large Language Models (LLMs) and integrating vision + language models for domain-specific insights. Knowledge of edge computing for on-farm device deployment (e.g., NVIDIA Jetson, Raspberry Pi). Contributions to open-source computer vision projects or relevant publications in CVPR, ECCV, or similar conferences. Soft Skills Strong problem-solving and critical thinking skills Clear communication and documentation practices Ability to work independently and collaborate in a remote, cross-functional team Why Join Us? Work at the intersection of AI and sustainability Be part of a dynamic and mission-driven team Opportunity to lead innovation in an emerging field of agritech Flexible remote work environment

Shift: (GMT+05:30) Asia/Kolkata (IST) What do you need for this opportunity Must have skills required: Computer Vision, Camera Calibration, 3d vision About the Role We are seeking an experienced Computer Vision Engineer to join our team and contribute to cutting-edge projects in 3D vision and reconstruction. The ideal candidate will have a strong background in camera calibration, stereo vision, multi-view geometry, and 3D reconstruction techniques. Key Responsibilities Develop and implement advanced computer vision algorithms for 3D reconstruction and analysis Design and optimize camera calibration procedures for various imaging systems Create robust stereo vision solutions for depth estimation and object localization Implement multi-view geometry techniques for scene understanding and 3D modeling Develop efficient triangulation methods for 3D point cloud generation Collaborate with cross-functional teams to integrate computer vision solutions into larger systems Stay current with the latest advancements in computer vision and contribute to research initiatives Required Qualifications Bachelors in Computer Science, Computer Engineering, or a related field 3+ years of experience in computer vision, with a focus on 3D vision techniques Strong proficiency in camera calibration methods and tools Extensive experience with stereo vision algorithms and epipolar geometry In-depth knowledge of multi-view geometry and structure-from-motion techniques Proven track record in developing 3D reconstruction pipelines Expert-level programming skills in C++ and Python Experience with OpenCV, PCL, or similar computer vision libraries Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch) for vision tasks

Job Summary: J ob involves assembling, testing and designing of automation systems involving electrical, mechanical and pneumatic components, Control Panels, PLCs, VFDs, Servos and Vision systems. JOb Responsibilities: Develop and initiate advanced automated testing methodologies. Use a combination of testing methods including automated. Ensure testing of Coponent and filling the testing reports Ensure Installation & commissioning ,programming of PLC,HMI,VFD,SERVO Ensure Project completion within stipulated time Ensure service support to sales team. Managing customer query and new project developments. Responsible to give technical presentations to new clients Develop, maintain, and implement the process automation functional agenda for on site Ensure R & D for competitive brand for betterment of Service.

Design, develop, maintain robust automated test frameworks, scripts for printer software/firmware Validate printer workflows: print queues, rendering engines, page description languages (PCL, PostScript), connectivity protocols (USB, Ethernet, Wi-Fi) Required Candidate profile Work closely with development, QA, and product management to ensure product quality from the design phase onward. Debug and troubleshoot issues across firmware, software, and hardware boundaries. Perks and benefits Perks and Benefits