About Company AIGC is hiring candidates to serve its clients in the Kingdom of Saudi Arabia. Our client Artificial Intelligence Global Company (AIGC) is a platform independent service provider for industrial software application applications for the process Industry. It is the beholding division of AL – GIHAZ holding. It is one of its kind in the region developing Integrated Center of Excellence for Artificial Intelligence-centered IT and OT applications. It infuses intelligence to empower people to shape a sustainable future. We work in collaboration with our technology partners to sponsor their state-of-the-art applications to our customers. We provide a broad spectrum of advanced engineering and operational support services with a key focus on Artificial Intelligence and other digital solutions and services for Energy, Oil & Gas, Refining, Petrochemicals, Chemicals, Mining, Supply Chain, Utilities, Power, and Manufacturing industries as well as Smart Cities across the region. We provide a healthy environment to harmonize human intelligence with technological innovation that might develop our human assets and clients alike. About the job This exciting opportunity is responsible for providing APM (Asset performance Management) Predictive Maintenance (PdM) support for industrial clients. The purpose of this role is to develop robust analysis in determining assets performance, components, equipment, and processes in accordance with JLL’s enhanced PdM & Asset Management program. Core to the role is the validation of asset data either by physical inspection or review of supplied asset list. The data is then used to continually improve maintenance programs to meet outcome-based performance measures. Responsibilities • Works with client to ensure the accurate PdM, and APM of new and modified installations. The candidate is responsible for adhering to the life cycle asset management (LCAM) process throughout the entire life cycle of new assets. • Participates in the development of design and installation specifications along with commissioning plans. • providing engineering expertise in the application, operation, inspection and maintenance of plant systems and rotating equipment normally associated with oil & gas facilities and optimizing performance of Chemicals, Oil & Gas facilities (upstream, mid-stream, and/or downstream). • preventative and predictive maintenance practices (including software packages such as AVEVA or Smart Signal or its equivalent) for major rotating and static equipment such as compressors and pumps with large prime movers (- gas turbines, steam turbines & motors), Blowers, fans, fired heaters, distillation columns, Transformers, Heat exchangers (including cryogenics). • Hands on experience with conditioned based monitoring for the operating assets, online performance monitoring and diagnostic software solutions. Computerized Maintenance Management Systems a plus • Analyzing plant data with real-time data historians. • Vibration Monitoring systems BN or its equivalent. • Developing and endorsing machinery selection/application and sizing studies • Familiar with data analytics and data science tools • Experience/Trained on RCM methodologies, Reliability Methods (RCM, FMECA etc.) and Reliability Analysis Techniques (Weibull analysis, Reliability growth, etc.). • Building and testing Machinery Behavior Model • Analyzing Historical Failures, Creating Proof of Concept Reports • Tuning Machinery Behavior Model to estimating remaining Useful Life and Management of Alerts. • Professionally and systematically defines, designs, develops, monitors, and refines an asset maintenance plan that includes: o Value-added Predictive Maintenance (PdM) tasks o Effective utilization of predictive and other non-destructive testing methodologies designed to identify and isolate inherent reliability problems • Works with Production to perform analysis of assets including: o Asset utilization o Overall equipment effectiveness o Remaining useful life o Other parameters that define operating condition, reliability, and costs of assets • Provides technical support to production, maintenance management and technical personnel. • Applies value analysis to repair/replace, repair/redesign and make/buy decisions. Essential Requirements • Masters or BS degree in Mechanical/Chemical Engineering or equivalent. • Minimum +10 years’ experience in plant maintenance. • Knowledge of condition monitoring techniques. • Certification in vibration is a plus. • Practice of condition monitoring techniques. • Experience in AVEVA Predictive Analytics. • Proven ability to read, comprehend and apply information from technical manuals and other reference materials. • Ability to make informed recommendations in situations where data sets may be incomplete. • Ability to communicate well in both oral and written reports. • Ability to balance multiple requirements. • Able to interpret how the organizational goals and strategy translate into service or departmental activity. • Rotating machinery Fault Analysis • Static equipment Fault analysis • SeeQ Tool • UPTIME AI prediction tool • Strong Microsoft Excel skills and ability to manipulate large amounts of data accurately using different spreadsheet formats. • Ability to recognize opportunities for process improvements and assist with implementing them. • Ability to engage with client/team stakeholders at senior level. Competency • Strong interpersonal skills and collaborative approach. • Energizes others by showing passion and commitment. • Self-aware; actively seeks, shares, and actions feedback on own performance and of team. Advocates self-development. • A self-starter with flexible and open-minded approach to working and drive to go “Beyond.” • Systematic approach to work with high attention to detail. • Ability to work without direct supervision. • Embraces change and develops innovative solutions and challenges the “status quo” Customers Education and Qualifications B.E/B.Tech (Mechanical Engineering) Show more Show less

About the job This exciting opportunity is responsible for providing APM (Asset performance Management) Predictive Maintenance (PdM) support for industrial clients. The purpose of this role is to develop robust analysis in determining assets performance, components, equipment, and processes in accordance with JLL’s enhanced PdM & Asset Management program. Core to the role is the validation of asset data either by physical inspection or review of supplied asset list. The data is then used to continually improve maintenance programs to meet outcome-based performance measures. Responsibilities • Works with client to ensure the accurate PdM, and APM of new and modified installations. The candidate is responsible for adhering to the life cycle asset management (LCAM) process throughout the entire life cycle of new assets. • Participates in the development of design and installation specifications along with commissioning plans. • providing engineering expertise in the application, operation, inspection and maintenance of plant systems and rotating equipment normally associated with oil & gas facilities and optimizing performance of Chemicals, Oil & Gas facilities (upstream, mid-stream, and/or downstream). • preventative and predictive maintenance practices (including software packages such as AVEVA or Smart Signal or its equivalent) for major rotating and static equipment such as compressors and pumps with large prime movers (- gas turbines, steam turbines & motors), Blowers, fans, fired heaters, distillation columns, Transformers, Heat exchangers (including cryogenics). • Hands on experience with conditioned based monitoring for the operating assets, online performance monitoring and diagnostic software solutions. Computerized Maintenance Management Systems a plus • Analyzing plant data with real-time data historians. • Vibration Monitoring systems BN or its equivalent. • Developing and endorsing machinery selection/application and sizing studies • Familiar with data analytics and data science tools • Experience/Trained on RCM methodologies, Reliability Methods (RCM, FMECA etc.) and Reliability Analysis Techniques (Weibull analysis, Reliability growth, etc.). • Building and testing Machinery Behavior Model • Analyzing Historical Failures, Creating Proof of Concept Reports • Tuning Machinery Behavior Model to estimating remaining Useful Life and Management of Alerts. • Professionally and systematically defines, designs, develops, monitors, and refines an asset maintenance plan that includes: o Value-added Predictive Maintenance (PdM) tasks o Effective utilization of predictive and other non-destructive testing methodologies designed to identify and isolate inherent reliability problems • Works with Production to perform analysis of assets including: o Asset utilization o Overall equipment effectiveness o Remaining useful life o Other parameters that define operating condition, reliability, and costs of assets • Provides technical support to production, maintenance management and technical personnel. • Applies value analysis to repair/replace, repair/redesign and make/buy decisions. Education Qualification • B.E/B.Tech (Mechanical Engineering). Other skill sets • Minimum +10 years’ experience in plant maintenance. • Knowledge of condition monitoring techniques. • Certification in vibration is a plus. • Practice of condition monitoring techniques. • Experience in AVEVA Predictive Analytics. • Rotating machinery Fault Analysis • Static equipment Fault analysis • • UPTIME AI prediction tool • Strong Microsoft Excel skills and ability to manipulate large amounts of data accurately using different spreadsheet formats. • Ability to recognize opportunities for process improvements and assist with implementing them. • Ability to engage with client/team stakeholders at senior level. Show more Show less

Roles and Responsibilities This role involves architect, designing end-to-end solutions and a blueprint for implementing/deployment of solutions based on Google Cloud Platform (GCP) to enhance operational efficiency and drive digital and Data transformation within the industrial & government sectors. Architect and Design scalable, secure, and cost-effective cloud solutions on GCP tailored to the needs of industrial & government sectors focused on Industrial Data lake and Analytics Provide expert-level guidance on cloud adoption, data migration strategies, and digital transformation projects specific to industrial & government sectors. Develop blueprints of implementation and deployment of GCP services, including compute, storage, networking, and data analytics, ensuring alignment with best practices and client requirements. Deliver technical and pre-sales services on the GCP cloud platform. Services and activities ranging from Data migration, End-to-End data pipelines, Data management, Sizing & Provisioning, and Implementation. Job Scope Full-time Cloud (GCP) Specialist/Consultant with a strong background in Make this secondary skillPresales and Technical services on the GCP Cloud platform. Develop scalable and secure data lake and data warehouse architectures using services like BigQuery, Cloud Storage, Dataproc, and Pub/Sub. But not limited to. Design and implement efficient data ingestion, transformation, and processing pipelines using Cloud Dataflow, Apache Beam, and Dataproc/Spark.But not limited to Design and implement data security and governance using IAM, VPC Service Controls, Cloud DLP, and integrate with data governance tools (e.g., Data Catalog). Building Technical solution proposals with solution architectures, sizing, and planning for prospective bids in the space of the GCP cloud platform. Grooming & Training internal and external technical & non-technical users of solutions and components in the GCP cloud platform. Create prototypes and demonstrate solutions on GCP platform (streaming ingestions, analytical products etc). Job Location - Bangalore Work model - Hybrid (Sunday (Work From Home) - Thursday (Work from office) Show more Show less

The role of Asset Predictive Analytics (APA) support for industrial clients involves utilizing data analysis and machine learning techniques to predict potential failures and optimize maintenance strategies for mechanical equipment. As the ideal candidate, you will have a strong understanding of mechanical systems, data analysis, and predictive modeling to enhance equipment reliability and minimize downtime. Your responsibilities will include implementing Asset Predictive Analytics (APA) for major rotating and static equipment, such as compressors, pumps, turbines, motors, blowers, fans, heaters, distillation columns, transformers, and heat exchangers. You will be involved in data collection and analysis, developing and implementing predictive models, and optimizing maintenance schedules based on predictive insights to prevent unplanned downtime. To qualify for this role, you should hold a B.E/B.Tech degree in Mechanical or Chemical Engineering, along with a minimum of 5-7 years of experience in APA within industrial sectors, preferably oil & gas. Proficiency in AVEVA Predictive Analytics or similar solutions, as well as knowledge of reliability principles, tools, and methodologies, is essential. You should also possess strong skills in data analysis, statistical modeling, programming languages like Python or R, and experience in developing predictive models using machine learning algorithms. In addition, you must demonstrate the ability to communicate technical information effectively to both technical and non-technical audiences, engage with stakeholders at a senior level, and work collaboratively with maintenance teams. Your competency should include strong interpersonal skills, a self-aware and self-developmental approach, and a systematic work ethic with attention to detail. The role may involve travel as per business needs. Clients in Energy, Oil & Gas, Refining, Petrochemicals, Chemicals, Mining, Supply Chain, Utilities, Power, and Manufacturing industries will be your primary focus.Embrace change, develop innovative solutions, and challenge the status quo to excel in this dynamic role.,

This exciting opportunity is responsible for providing Asset Predictive Analytics (APA) support for industrial clients. You will be utilizing data analysis and machine learning techniques to predict potential failures and optimize maintenance strategies for mechanical equipment. Your role will require a strong understanding of mechanical systems, data analysis, and predictive modeling to improve equipment reliability and reduce downtime. You will be responsible for implementing Asset Predictive Analytics (APA) for major rotating and static equipment such as compressors, pumps, gas turbines, steam turbines, motors, blowers, fans, fired heaters, distillation columns, transformers, and heat exchangers. This will involve conducting data collection and analysis, developing predictive models using machine learning algorithms, and optimizing maintenance schedules based on predicted failure risks. Additionally, you will collaborate with maintenance teams to implement optimized maintenance plans. To be successful in this role, you must hold a B.E/B.Tech degree in Mechanical or Chemical Engineering or equivalent from a recognized university. You should have a minimum of 5-7 plus years of experience in Asset Predictive Analytics in industrial sectors, preferably oil & gas. Knowledge of reliability principles, tools, methodologies, and experience with AVEVA Predictive Analytics or similar solutions are essential. You should possess a strong understanding of mechanical systems and equipment, proficiency in data analysis, statistical modeling, and programming languages such as Python, R, or others commonly used for data analysis and machine learning. Experience in developing and implementing predictive models using machine learning algorithms is required. Effective communication skills to convey technical information to both technical and non-technical audiences are crucial. Furthermore, you should have experience with CMMS, SCADA, and other relevant software and tools, as well as competency in fault analysis of rotating machinery and static equipment. Strong interpersonal skills, a collaborative approach, passion, commitment, self-awareness, and a systematic approach to work with high attention to detail are key competencies for this role. This position will involve engaging with client/team stakeholders at a senior level. As part of the role, you will be working with clients in Energy, Oil & Gas, Refining, Petrochemicals, Chemicals, Mining, Supply Chain, Utilities, Power, and Manufacturing industries. Travel may be required based on business needs. In summary, the role of Asset Predictive Analytics (APA) support for industrial clients involves utilizing data analysis, machine learning techniques, and predictive modeling to enhance equipment reliability and reduce downtime. This position requires a strong mechanical engineering background, expertise in data analysis and statistical modeling, and the ability to communicate technical information effectively.,