4 Ram Modeling Jobs

The RAM Engineer will be responsible for creating and refining models for Reliability, Availability, and Maintainability (RAM) in the Oil & Gas domain. With at least 8 years of experience, you will demonstrate expertise in developing RAM models and utilizing RAM modeling and analysis tools such as DNV-Maros, HBK-BlockSim, Bentley-ARMS, Isographs-AvSim, RAM Commander, PetroRAM, etc. You will conduct RAM modeling for Oil & Gas upstream projects aimed at enhancing system performance and reducing costs associated with equipment maintenance and repair. Prior experience in the Oil & Gas refinery or petrochemical industry is a must. This position is based in Vadodara, Chennai, with the option to work from the office.,

As a Reliability Consultant based in Bengaluru (Manyata Tech Park, Hebbal), you will be responsible for providing reliability engineering, RAM, and Predictive Maintenance (PdM) support for industrial clients. Your role involves developing robust analysis to determine the reliability of assets, components, equipment, and processes as part of JLL's enhanced Reliability & Asset Management program. A core aspect of your responsibilities includes validating asset data through physical inspections or review of the asset list to continually enhance maintenance programs and meet performance measures. You will collaborate with clients to ensure the reliability and maintainability of new and modified installations, following the life cycle asset management (LCAM) process. This will involve participating in the development of design specifications, commissioning plans, RAM modeling, and simulation. Additionally, you will contribute to the evaluation of equipment suppliers and maintenance service providers, develop acceptance tests, and participate in the final check-out of new installations. Your role will also entail defining, designing, and monitoring asset maintenance plans that incorporate value-added Predictive Maintenance tasks and non-destructive testing methodologies. You will work towards identifying and resolving reliability issues affecting plant operations by applying various data analysis techniques such as statistical process control, fault tree analysis, Six Sigma methodology, and root cause analysis. Moreover, you will analyze asset performance metrics like asset utilization, overall equipment effectiveness, and remaining useful life while providing technical support to production and maintenance management. Your expertise in RAM modeling using Aspentech Fidelis, industrial maintenance, predictive analytics, and IoT will be crucial in implementing predictive maintenance strategies successfully across various industries. To qualify for this role, you should have over 10 years of hands-on experience in RAM modeling and hold certifications such as CMRP, CRE, ARPE, or CRL. A strong background in machine learning, statistical modeling, and familiarity with maintenance management systems and predictive maintenance technologies are essential. A degree in Mechanical or engineering field is required, along with knowledge of industry standards and regulatory requirements in maintenance practices. If you are passionate about leveraging predictive maintenance strategies to enhance asset reliability and performance, and possess the necessary technical skills and experience, we invite you to apply for this challenging and rewarding position as a Reliability Consultant.,

Overall, the purpose of the role is to work with clients in the Kingdom of Saudi Arabia as a part of Artificial Intelligence Global Company (AIGC), which is a platform-independent service provider for industrial software applications. AIGC, a division of AL GIHAZ holding, focuses on developing an Integrated Center of Excellence for Artificial Intelligence-centered IT and OT applications to empower people and shape a sustainable future. The company collaborates with technology partners to offer advanced engineering and operational support services, specializing in Artificial Intelligence and other digital solutions for various industries such as Energy, Oil & Gas, Refining, Petrochemicals, Chemicals, Mining, Supply Chain, Utilities, Power, Manufacturing, and Smart Cities within the region. AIGC aims to harmonize human intelligence with technological innovation to enhance both human assets and clients. The job location for this position is in Bangalore, and the work model is Hybrid. As a candidate for this role, you should have hands-on experience in the operations or maintenance of Pumps, compressors, and gas turbines within gas processing, refinery, or petrochemicals industries. Additionally, you must possess experience in reading and understanding PFD and P&ID, as well as a good understanding of reliability terminologies. Your responsibilities will include working with clients to ensure the reliability and maintainability of new and modified installations, adhering to the life cycle asset management process. You will participate in the development of design and installation specifications, commissioning plans, RAM modeling and simulation, and criteria development for equipment evaluation. Additionally, you will be involved in the final check-out of new installations, ensuring adherence to functional specifications, and guiding efforts to ensure the reliability and maintainability of equipment, processes, utilities, facilities, controls, and safety/security systems. Essential requirements for this role include 5-8 years of hands-on experience in RAM modeling using Aspentech Fidelis and certification in CMRP, CRE, ARPE, or CRL. You should also have extensive experience in industrial maintenance, predictive analytics, and data-driven decision-making, along with knowledge of IoT, machine learning, and statistical modeling for predictive maintenance. Familiarity with maintenance management systems, ERP systems, and key predictive maintenance technologies is crucial. Candidates must have a strong interpersonal skillset, collaborative approach, self-awareness, self-starting attitude, high attention to detail, ability to work without direct supervision, and willingness to embrace change and develop innovative solutions. The educational qualification required for this role is a B.E/B.Tech in Mechanical Engineering.,

You will be joining Oceaneering's Maintenance and Reliability Solutions (MRS) team as a Maintenance and Reliability Engineer. In this role, you will be involved in developing, enhancing, and reviewing maintenance strategies, concepts, and programs across various industrial sectors, including Oil & Gas. Your responsibilities will also include supporting the implementation and upgrades of Computerized Maintenance Management Systems (CMMS). Your tasks will involve developing asset technical hierarchies, evaluating and optimizing preventive maintenance programs, and contributing to assignments related to Failure Modes and Effects Analysis (FMEA), Root Cause Analysis (RCA), Reliability Centered Maintenance (RCM), and Reliability, Availability, Maintainability (RAM) modeling. Additionally, you will assist in assessing material, resource, and spare parts requirements at the plant or facility level and processing maintenance data into CMMS systems. As a Maintenance and Reliability Engineer, you will ensure timely and quality delivery of assignments within defined schedule and cost constraints. You will apply relevant industry codes and standards to all your tasks and adhere to organizational policies and functional team procedures. This role requires a Bachelor's degree in a mechanical engineering discipline and a minimum of 2 years of experience in Oil and Gas, Petrochemical, or Refinery fields. At Oceaneering, you will have the opportunity to enjoy a hybrid work environment that allows for a balance between in-office collaboration and remote work convenience. This approach supports a healthy work-life balance and enhances productivity by providing the best of both worlds. If you have the ability, drive, and ambition to shape the future of technology and engineering solutions on a global scale, Oceaneering India Center welcomes you to join their team. Apply now and be part of a collaborative, flexible, and transparent work culture that values teamwork and innovation.,