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.,
Role & Responsibilities Seeking a Operations Management (OM) Application Specialist to support the configuration, deployment, and optimization of Honeywell industrial software platforms including Honeywell Forge Operations Management (HFOM) , Honeywell Forge Inspection Rounds (HFIR) , and Honeywell KPI Manager . The ideal candidate will work closely with cross-functional teams to ensure these platforms support operational excellence across oil and gas facilities. Lead and manage the configuration and deployment of HFOM, HFIR, and KPI Manager across operational units. Work with operations, maintenance, reliability, and IT teams to translate business requirements into technical configurations . Customize workflows , data models, and user interfaces in Honeywell platforms to meet end-user needs. Integrate Honeywell platforms with upstream and downstream systems (e.g., historians, CMMS, DCS/SCADA, ERP). Perform user acceptance testing (UAT) and support the commissioning and cutover activities. Provide training and support to end users and local administrators. Collaborate with Honeywell or third-party vendors during upgrades, patches, and issue resolution. Monitor performance and ensure data accuracy, system reliability , and platform uptime . Contribute to the development of standard operating procedures (SOPs) , deployment guides, and documentation. Support continuous improvement initiatives to enhance the functionality and value of the deployed platforms. Job location Al - Khobar - Kingdom of Saudi Arab Preferred Industry Domain: Oil & Gas, Petrochemicals, Energy Educational Qualifications: Bachelor’s degree in engineering, Computer Science, Information Systems, Industrial Automation, or a related field. Required skill - sets Technical Skills: Hands-on experience with one or more Honeywell platforms: HFOM, HFIR, KPI Manager Strong understanding of operational workflows in production, inspection, and performance management. Knowledge of ISA-95 , MESA models , or other manufacturing operations frameworks. Understanding of plant automation systems (e.g., DCS, SCADA, PLCs), and integration with enterprise IT systems . Familiarity with data modeling , SQL , API integrations , and industrial data protocols (e.g., OPC UA, MQTT). Proficiency with reporting tools and dashboard configuration. Analytical Skills: Analytical, problem-solving, and attention-to-detail. Ability to work independently and under pressure. Communication Skills: Possesses excellent communication skills (strong English language). Excellent interpersonal, collaboration, leadership and presentation skills. Excellent negotiation skills and strong commercial/business acumen Effectively collaborate with cross-functional teams and stakeholders at all levels. Ability to work independently and collaboratively with others in team environment.
As an Asset Predictive Analytics (APA) Specialist, your primary responsibility will be to implement predictive analytics solutions for major rotating and static equipment in industrial sectors, such as compressors, pumps, gas turbines, steam turbines, motors, blowers, fans, heaters, columns, transformers, and heat exchangers. You will be tasked with collecting and analyzing data from various sources, developing predictive models using machine learning algorithms, and optimizing maintenance schedules to prevent unplanned downtime. Your qualifications should include a B.E/B.Tech degree in Mechanical or Chemical Engineering from a recognized university, along with a minimum of 5 years of experience in Asset Predictive Analytics within the industrial sector, preferably in oil & gas. To succeed in this role, you must possess knowledge of reliability principles, tools, and methodologies, such as FMEA, RCFA, RCM, and PMO. You should have a strong background in AVEVA Predictive Analytics or similar solutions, as well as a deep understanding of mechanical systems and equipment. Proficiency in data analysis, statistical modeling, and programming languages like Python and R is crucial for developing and implementing predictive models effectively. Your role will also involve collaborating with maintenance teams to implement optimized maintenance plans based on predicted failure risks. Additionally, you should be adept at engaging with client and team stakeholders at a senior level and have experience with CMMS, SCADA, and other relevant software tools. Overall, your expertise in conducting data analysis, predictive modeling, and maintenance optimization will be key in ensuring the reliability and performance of critical industrial equipment.,
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.,
Key Responsibilities • Process application engineer for Oil & Gas, Petrochemical and Process industries delivery services • Engage in developing highly complex dynamic simulation process models and smart applications using Simulation and Optimization tools. • Understanding and analyzing project requirements and translating it into specifications and project deliverables. • Produce timely and high-quality project delivery. • Build and configure dynamic process and flow models for Oil & Gas Process • Run simulations for wide range of scenarios with built models. • Carry out dynamic process and control studies • Perform optimization and de-bottlenecking studies • Assist with Flow Assurance model building for Real-time production assurance systems • Responsible for executing OTS projects with project teams for end-to-end design & delivery for Refinery, Oil & Gas, Petrochemical, and other customers • Manage the development of functional and concept technical design specifications Skills & Experience • Bachelor’s degree in chemical engineering – Master’s degree is preferred • 8+ years’ experience in Refinery or Petrochemical operations / process controls / process Engineering • Hands-on experience with any one of the skill set Advanced Process Control, Real-Time Optimization, Performance Monitoring and First Principal modelling • Skilled in some of modeling tools Aspen Hysys, Aspen GDOT, KBC Petrosim, Technip Spyro etc. • Skilled in Real Time Optimization applications like ROMeo • Skilled in APC application like Rockwell Pavilion, Yokogawa smoc, Honeywell RMPCT, ASPEN DMC plus. • Certified on modeling and simulation platform Aspen Plus / Hysys / Pro-II / Dynsim , etc. will be an advantage • Ability to read and interpret Process & Instrumentation Diagrams, Process Flow Diagrams, and control logics. • Strong written and verbal communication skills • Strong domain knowledge & Chemical Engineering principles and operations. • Good communication, writing & presentation skills. • Knowledge of DCS and ESD will be added advantage. • Ability to work in a team • Strong ability to maintain good working relationships with customers.
As a Proposal Engineer, you will be responsible for coordinating, preparing, and delivering technical and commercial proposals to address client needs. Your role will involve a deep understanding of software solutions, a methodical approach to proposal development, and strong collaboration skills to ensure the timely and accurate submission of winning proposals. **Roles & Responsibilities:** - Analyze client requirements from RFQ/RFP documents and ensure clarity of scope. - Collaborate with Sales, Pre-Sales, and Technical teams to define the solution, deliverables, and costs. - Create detailed technical and commercial proposals using predefined templates. - Work with cross-functional teams to gather inputs and ensure accuracy in technical designs and cost estimations. - Prepare project implementation timelines and identify dependencies and risks. - Ensure that all solutions align with the company's capabilities and client requirements. - Route proposals through the required approval workflows (Technical Director, Sales Director, CEO). - Ensure compliance with internal tendering/proposal/estimation guidelines. - Ensure compliance with client-specific requirements and RFQ/RFP instructions or bidding requirements. - Maintain accurate records of submitted proposals in the designated company system and track proposal status in the sales pipeline. - Archive finalized proposals and maintain proposal templates for future use. - Monitor key metrics like proposal turnaround time and on-time submission rate. - Act as the single point of contact between stakeholders during the proposal lifecycle. - Communicate proposal status, challenges, and deadlines effectively. - Liaise with procurement, finance, and legal teams to address contractual and pricing considerations. - Process orders and hand them over to project managers for execution. **Technical Skills:** - Knowledge of software, system integration, cloud, IOT, automation, and IT solutions. - Proven experience in the related field, tendering, proposal, and estimation. - Prior Experience working with Saudi Arabian clients or markets is a plus. - Proficiency in tools such as MS Office (Word, Excel, PowerPoint), CRM systems, and project management tools. - Strong analytical and problem-solving skills. - Excellent written and verbal communication skills. - Detail-oriented with strong organizational skills. - Ability to work collaboratively with cross-functional teams under tight deadlines. - Critical thinking and attention to detail. - Time Management skills. - Flexibility to align with Saudi Arabia business hours. In addition, you should have a **Bachelor's degree** in Computer Science, Engineering, IT, or a related field, and **6-10 years of experience** in tendering, proposal & estimation, or pre-sales within the software, IT, Automation, or system integration industry.,