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2.0 - 3.0 years
4 - 5 Lacs
Chennai
Work from Office
What's the role You will be part of Technical Asset Support organization in Shell Chennai. As an Associate Engineer - CMMS, you'll deliver the CMMS system accurately, analyze technical data, collaborate with teams, and provide insights to improve efficiency. Set up data structures, extract information from drawings, and develop maintenance plans. Be aware of safety standards, support planning in SAP, and understand equipment life cycles. Familiarity with SAP ERP systems is beneficial. Support continuous improvement, ensure data quality, assist with audits, and work closely with senior engineers and departments. What you'll be doing Deliver CMMS (Computerized Maintenance Management System) across Upstream, Downstream and IGRES - first time right. Perform basic or simple analysis of technical data and documents by working with engineering, maintenance, operations, and project team & partners to deliver the objectives. Provide insights that guide business decision that impacts Operation efficiency. Develop the Key data structures or OU build data for the initial set up for CMMS build. Extract Tags and other technical information from PFS, PEFS, SLD and other engineering drawings. Develop routine maintenance (PM Plan) from equipment care strategies. Awareness on standards & guidelines related to Safety critical Equipment. Awareness of support in planning and scheduling the PM Plans in SAP. Understanding of the life cycle of Equipment & Assets that includes planning, installation, maintenance, and decommissioning. Experience in SAP ERP system, Familiarity with ERP concepts, process and navigation is beneficial. Understand how information and technical data will be utilized within the site or location. Understand Planned Maintenance systems - learnings related to Maintenance procedures, enabling materials, Procurement, and inventory management. Support for CMMS build in SAP PM. Implement continuous improvement initiatives either alone or in a group to maximize business value. Understand the role of data steward and providing the stewardship for data governance. Perform quality checks for assets that will be handover to run & maintain from P2A in ensuring correctness and completeness of the master and planning data. Supporting audits or go-see involving the asset in terms of CMMS data extraction as well as the efforts to close any gaps/findings from the audits that is relevant to CMMS scope. Engage with Senior Engineers and Engineers in department like Maintenance, Reliability, Discipline, Operations, IM&IT, ORA, EPC and Spares Management for effective delivery. What you bring University Degree in Mechanical/Electrical/instrumentation or other Engineering. Required 2 to 3 yrs. of experience in Plant Maintenance area within a Manufacturing or Upstream environment as an engineering user of Computerized Maintenance Management Systems (CMMS) with tools experience in Web Integrity Management System (WIMS), SPI -IN tools and Engineering Document Management Systems (EDMS.) Experience in Engineering relevant maintenance, Equipment failure analysis, troubleshooting, decision making, Reliability Centered Maintenance, Root Cause Analysis, Safety Criticality and Risk Assessment, Failure Mode and Effects Analysis, Fault Tree Analysis, Total Quality Management, Hazard Analysis, etc Experience in Engineering Projects end execution, supporting the EPCM contractor with execution, quality inspection of the project data. Experience in Project initiating, planning, monitoring & controlling of a CMMS build. Experience in Technical Data and Documents management including processes and tools. Use and understanding of SAP PM MM modules or Maximo or other ERP system. Professional Engineering certification is an added value. Excellent communication skills and a quick learner. Be a good team player. Ability to prioritize and ensure delivery of priorities for the area of responsibility. Flexible and adaptable to change, with a track record of demonstrating initiative, analytical capabilities and problem-solving. Ability to apply engineering best practices, codes, and standards to identify issues, recommend improvements, and implement solutions. Strong interpersonal skills are critical due to the requirement for effective communication of complex issues across multiple offices and teams. Flexibility to move quickly across changing priorities. Ability to engage and effectively communicate at all levels inside and outside Shell and within different cultural settings. Strong understanding of Continuous Improvement process in TAO
Posted 1 day ago
5.0 - 8.0 years
7 - 11 Lacs
Pune
Work from Office
About The Role Senior Computer Vision Machine Learning Engineer About Us At Codvo, software and people transformations go together We are a global empathy-led technology services company with a core DNA of product innovation and mature software engineering We uphold the values of Respect, Fairness, Growth, Agility, and Inclusiveness in everything we do Job Overview We are looking for a Senior Computer Vision Machine Learning Engineer to lead the development of real-time CV/ML systems, with an emphasis on deploying models on edge platforms like the NVIDIA IGX Orin The ideal candidate will have experience in designing robust vision pipelines, training and optimizing deep learning models, and working closely with hardware platforms for deployment Responsibilities Lead the design, development, and deployment of end-to-end computer vision and deep learning models Optimize and deploy CV/ML pipelines on edge platforms, particularly NVIDIA IGX (Orin preferred) Work with cross-functional teams to integrate models into real-time applications (e.g., robotics, safety systems, industrial inspection) Develop and maintain datasets, perform data augmentation, and ensure quality training inputs Leverage NVIDIA SDKs (e.g., DeepStream, TensorRT, TAO Toolkit, CUDA) for performance and acceleration Collaborate with hardware engineers to fine-tune models for power, latency, and throughput constraints Stay up to date with the latest research and techniques in computer vision, edge AI, and embedded ML Requirements Bachelors or Masters degree in Computer Science, Electrical Engineering, or related field 5+ years of experience in Computer Vision and Machine Learning (deep learning emphasis) Proficiency in Python, C++, TensorFlow, PyTorch Strong understanding of model optimization techniques for edge deployment Hands-on experience with NVIDIA platforms- IGX, Jetson, or Xavier (IGX Orin highly preferred) Experience with NVIDIA SDKs (e.g., DeepStream, TensorRT, CUDA, TAO Toolkit) Solid knowledge of vision tasksobject detection, tracking, classification, segmentation Familiarity with containerization (Docker), CI/CD pipelines, and version control (Git) Preferred Qualifications Experience in industrial AI, medical imaging, or robotics Exposure to RTOS, safety-critical systems, or IEC 61508/ISO 26262 environments Familiarity with ONNX, OpenCV, ROS, or GStreamer What We Offer Opportunity to work on cutting-edge AI/edge technology with real-world impact Collaborative and fast-paced engineering culture Flexible working hours and remote work options Competitive salary and benefits package Show more Show less
Posted 3 weeks ago
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