4 620 Expert jobs in the United Arab Emirates

About Us:

AceNet Consulting is a fast-growing global business and technology consulting firm specializing in business strategy, digital transformation, technology consulting, product development, start-up advisory and fund-raising services to our global clients across banking & financial services, healthcare, supply chain & logistics, consumer retail, manufacturing, eGovernance and other industry sectors.

We are looking for hungry, highly skilled and motivated individuals to join our dynamic team. If you're passionate about technology and thrive in a fast-paced environment, we want to hear from you.

Job Summary:

We are seeking an Subject Matter Expert (SME) - Procurement who will play a pivotal role in driving sourcing, vendor management, and procurement process transformation during ERP implementation. The role requires expertise in procurement strategy, contract management, and ERP supply chain modules to ensure smooth business adoption.

Key Responsibilities :

*Conduct process walkthroughs across procurement cycles (PR to PO, vendor selection, contract management, GRN, invoicing).

*Define future-state procurement procedures and document SOPs, RACI, compliance controls, and quality checkpoints.

*Validate ERP Procurement & Supply Chain configurations during testing and ensure alignment with business policies.

*Collaborate with Finance & HR SMEs on integrated procure-to-pay and vendor workforce processes.

*Guide teams on vendor management, compliance, and supplier performance evaluation.

*Facilitate procurement capability assessments and provide job aids/training for procurement staff.

*Support cutover planning, go-live readiness, and HyperCare for procurement modules.

*Ensure adherence to procurement policies, legal compliance, and audit requirements.

Role Requirements and Qualifications:

*5-8 years of procurement/supply chain experience with exposure to ERP systems.

*Strong knowledge of sourcing, contract management, vendor compliance, and inventory management.

*Proven ability in procurement policy formulation, controls, and process optimization.

*Experience in ERP procurement modules (SAP MM/Ariba, Oracle SCM, Coupa, etc.).

*Strong negotiation, stakeholder management, and process documentation skills.

Preferred Qualifications:

*MBA/PGDM in Supply Chain/Operations/Procurement.

*Professional certifications such as CPSM, CIPS, or PMP (preferred).

Why Join Us:

*Opportunities to work on transformative projects, cutting-edge technology and innovative solutions with leading global firms across industry sectors.

*Continuous investment in employee growth and professional development with a strong focus on up & re-skilling.

*Competitive compensation & benefits, ESOPs and international assignments.

*Supportive environment with healthy work-life balance and a focus on employee well-being.

*Open culture that values diverse perspectives, encourages transparent communication and rewards contributions.

Job Types: Full-time, Permanent

Pay: AED12, AED18,000.00 per month

Ability to commute/relocate:

• Abu Dhabi: Reliably commute or planning to relocate before starting work (Required)

Experience:

• Procurement, Purchasing, Sourcing: 5 years (Required)

Location:

• Abu Dhabi (Preferred)

Position Summary:

The Subject Matter Expert (SME) will lead the academic and technical development of the L4 Award in Police Sciences by contributing their deep industry knowledge to create high-quality, outcome-driven content. This role involves close collaboration with instructional designers and product development teams to ensure all learning materials are rigorous, relevant, and aligned with both qualification outcomes and national standards.

The SME will provide expert input into the design, validation, and enhancement of curriculum, leveraging immersive learning technologies for the Level 4 Award in Police Sciences. This includes advanced simulation based instructional support across crime scene investigation, emergency response, and law enforcement principles, while ensuring technological alignment with immersive education strategies and national accreditation standards.

Key Responsibilities:

• Provide expert input in curriculum design, content development, and instructional validation across core areas: crime scene analysis, criminal investigations, crisis management, and law enforcement principles.
• Collaborate with instructional designers and academic leads to transform existing training modules into immersive formats using VR, AR, MR, and interactive simulations.
• Develop and validate scenario-based training content that supports virtual simulations for instruction and assessment, ensuring accuracy, realism, and pedagogical integrity.
• Integrate bilingual (Arabic and English) instructional content into an AI-enhanced, Metaverse-enabled immersive learning platform to deliver culturally responsive, accessible, and inclusive training experiences for diverse law enforcement learners.
• Support configuration and academic utilization of simulation rooms equipped with immersive and AI-driven technologies.
• Remain current with technological innovations, policing practices, and UAE regulatory updates to inform curriculum revisions.
• Contribute to the evaluation and updating of learning content based on client feedback and industry trends.

Qualifications & Experience:

Essential:

• Advanced academic or professional credentials in Police Sciences, Law Enforcement, Forensic Science, Public Safety, Emergency Management, or related discipline.
• Fluency in Arabic and English, with a strong grasp of bilingual content development practices.
• Proven ability to work in cross-functional teams, balancing pedagogical and technical priorities.

Desirable:

• Demonstrated experience in immersive content development, instructional validation, or simulation-based training.
• Familiarity with industry compliance standards aligned with NQC/NQF Emirates, simulation technologies, and virtual learning environments.

Skills & Competencies:

• Deep expertise in modern policing practices, UAE criminal law, and operational field tactics.
• Strong command of immersive pedagogy, instructional validation, and scenario-based learning principles.
• Effective communicator in Arabic and English, with strong collaboration and documentation skills.
• Ability to lead academic innovation and align immersive experiences with real-world applications.
• Strong analytical, instructional design validation, and quality assurance capabilities.

About Us:

AceNet Consulting is a fast-growing global business and technology consulting firm specializing in business strategy, digital transformation, technology consulting, product development, start-up advisory and fund-raising services to our global clients across banking & financial services, healthcare, supply chain & logistics, consumer retail, manufacturing, eGovernance and other industry sectors.

We are looking for hungry, highly skilled and motivated individuals to join our dynamic team. If you're passionate about technology and thrive in a fast-paced environment, we want to hear from you.

Job Summary:

We are seeking an Subject Matter Expert (SME) who will provide deep functional expertise to support ERP implementation, process transformation, and capability building across the Finance function. This role requires strong domain knowledge in financial processes, regulatory compliance, and ERP systems to ensure seamless business alignment and operational excellence.

Key Responsibilities :

*Conduct detailed process walkthroughs across Finance (AP, AR, GL, FA, Treasury, Taxation) and document future-state procedures.

*Support creation of SOPs, RACI matrices, compliance checklists, and internal control frameworks.

*Validate ERP configurations during testing (UAT/SIT) and ensure alignment with business requirements.

*Provide inputs for financial reporting, statutory compliance, and audit readiness.

*Collaborate with HR & Procurement SMEs for integrated process flows (e.g., payroll, vendor payments).

*Guide internal Finance teams in areas of planning, budgeting, forecasting, and cost optimization.

*Facilitate capability maturity assessments and deliver training/job aids to enhance self-sufficiency.

*Support cutover planning, go-live readiness, and post-implementation HyperCare for Finance modules.

Role Requirements and Qualifications:

*5-8 years of experience in Finance/Accounting roles with ERP implementation exposure (Preferable - Oracle etc.).

*Strong knowledge of accounting standards, financial reporting, taxation, and compliance.

*Experience in defining process controls and risk management frameworks.

*Proven ability to lead process documentation, SOPs, and training materials.

*Strong analytical, problem-solving, and stakeholder management skills.

Preferred Qualifications:

*Chartered Accountant (CA) / CPA / CMA / MBA (Finance) preferred.

*Prior ERP transformation project experience is highly desirable.

Why Join Us:

*Opportunities to work on transformative projects, cutting-edge technology and innovative solutions with leading global firms across industry sectors.

*Continuous investment in employee growth and professional development with a strong focus on up & re-skilling.

*Competitive compensation & benefits, ESOPs and international assignments.

*Supportive environment with healthy work-life balance and a focus on employee well-being.

*Open culture that values diverse perspectives, encourages transparent communication and rewards contributions.

Job Types: Full-time, Permanent

Pay: AED12, AED18,000.00 per month

Ability to commute/relocate:

• Abu Dhabi: Reliably commute or planning to relocate before starting work (Required)

Experience:

• Finance, Accounting: 5 years (Required)

Location:

• Abu Dhabi (Preferred)

Subject Matter Expert - Actuation Systems

Abu Dhabi, UAE (Full Relocation Offered)

Position Overview

Lead the design, integration, and validation of electromechanical and hydraulic actuation systems for UAV platforms. Ensure performance, safety, and compliance across mission-critical applications.

Key Responsibilities

• Define actuation architectures for flight control, landing gear, and payload systems.
• Oversee actuator performance modeling, testing, and failure analysis.
• Ensure compliance with DO-160, MIL-STD-810, and aerospace safety standards.
• Mentor engineers and coordinate with cross-functional teams and suppliers.

Required Qualifications

• Bachelor's in Mechatronics, Aerospace, Mechanical, or Electrical Engineering.
• 10+ years in aerospace actuation systems, including 4+ years in a senior or SME role.
• Experience with UAV actuators, servo systems, and redundancy strategies.

Preferred Qualifications

• Master's in Flight Control Systems or Aerospace Mechatronics.
• INCOSE CSEP or OEM certifications in actuation systems.

Ready to take your aerospace career to new heights? Apply now and join a world-class team shaping the future of unmanned systems.

We are developing an AI ecosystem that enables businesses in any industry to deploy artificially intelligent solutions using our platform and applications. Our mission is to develop science-based, physics-informed AI applications for the critical industries that humanity needs to survive and thrive. By enabling brilliant people to solve pressing humanitarian, energy, scientific, and sustainability challenges, we're proving the power of AI to make a global impact. Our vision is to democratize AI — unlocking the full depth and breadth of human potential through our suite of AI applications, a world-class ML framework and platform that transforms data into actionable intelligence.

We are seeking a highly experienced Subject Matter Expert (SME) in Electrical Submersible Pump (ESP) systems to join our team and guide the development of Lift.ai, an advanced analytical and machine learning platform for production optimization. This role is designed for a senior professional who combines deep ESP domain knowledge with the ability to collaborate on the integration of cutting-edge ML solutions that deliver unprecedented value to operators.

• Act as the technical authority for ESP design, operations, and optimization within n.lift
• Define and validate core ESP performance calculations, physics-based workflows, and diagnostic methodologies.
• Work with data scientists to embed machine learning models into engineering workflows, ensuring results are physically sound, explainable, and actionable.
• Review and validate hybrid (physics + ML) algorithms for optimization, prediction, and anomaly detection.
• Provide domain expertise to ensure ML outputs align with real-world ESP performance, failure modes, and operational constraints.
• Collaborate with software engineers to translate ESP physics, correlations, and field practices into scalable algorithms and user-facing tools.
• Mentor junior engineers and contribute to knowledge transfer across the team.
• Support product strategy by identifying high-value use cases for analytics + ML integration in artificial lift management.
• Represent Lift.ai as an industry thought leader in the application of advanced analytics and ML to ESP systems.

• 10+ years of direct experience with ESP systems (design, operations, optimization, or troubleshooting).
• Expertise in ESP diagnostics (power, current, voltage, vibration, performance degradation, failure mechanisms).
• Solid understanding of petroleum production systems, artificial lift methods, and multiphase flow.
• Experience collaborating with software/ML teams on applied AI solutions (not required to build ML models, but able to guide and validate them technically).
• Strong analytical mindset with the ability to balance physics-based engineering and data-driven insights.
• Excellent communication skills for cross-functional collaboration and client engagement.
• Advanced degree (preferred) or equivalent experience in Petroleum, Electrical, or Mechanical Engineering.

This is a strategic role at the intersection of engineering expertise and machine learning innovation. As SME, you will ensure that Lift.ai becomes the industry's most trusted AI-driven ESP optimization and system health platform, combining the best of engineering science with the power of data.

We are developing an AI ecosystem that enables businesses in any industry to deploy artificially intelligent solutions using our platform and applications. Our mission is to develop science-based, physics-informed AI applications for the critical industries that humanity needs to survive and thrive. By enabling brilliant people to solve pressing humanitarian, energy, scientific, and sustainability challenges, we're proving the power of AI to make a global impact. Our vision is to democratize AI — unlocking the full depth and breadth of human potential through our suite of AI applications, a world-class ML framework and platform that transforms data into actionable intelligence.

We are seeking a highly experienced Subject Matter Expert (SME) in Electrical Submersible Pump (ESP) systems to join our team and guide the development of Lift.ai, an advanced analytical and machine learning platform for production optimization. This role is designed for a senior professional who combines deep ESP domain knowledge with the ability to collaborate on the integration of cutting-edge ML solutions that deliver unprecedented value to operators.

• Act as the technical authority for ESP design, operations, and optimization within n.lift
• Define and validate core ESP performance calculations, physics-based workflows, and diagnostic methodologies.
• Work with data scientists to embed machine learning models into engineering workflows, ensuring results are physically sound, explainable, and actionable.
• Review and validate hybrid (physics + ML) algorithms for optimization, prediction, and anomaly detection.
• Provide domain expertise to ensure ML outputs align with real-world ESP performance, failure modes, and operational constraints.
• Collaborate with software engineers to translate ESP physics, correlations, and field practices into scalable algorithms and user-facing tools.
• Mentor junior engineers and contribute to knowledge transfer across the team.
• Support product strategy by identifying high-value use cases for analytics + ML integration in artificial lift management.
• Represent Lift.ai as an industry thought leader in the application of advanced analytics and ML to ESP systems.

• 10+ years of direct experience with ESP systems (design, operations, optimization, or troubleshooting).
• Expertise in ESP diagnostics (power, current, voltage, vibration, performance degradation, failure mechanisms).
• Solid understanding of petroleum production systems, artificial lift methods, and multiphase flow.
• Experience collaborating with software/ML teams on applied AI solutions (not required to build ML models, but able to guide and validate them technically).
• Strong analytical mindset with the ability to balance physics-based engineering and data-driven insights.
• Excellent communication skills for cross-functional collaboration and client engagement.
• Advanced degree (preferred) or equivalent experience in Petroleum, Electrical, or Mechanical Engineering.

This is a strategic role at the intersection of engineering expertise and machine learning innovation. As SME, you will ensure that Lift.ai becomes the industry's most trusted AI-driven ESP optimization and system health platform, combining the best of engineering science with the power of data.

We are developing an AI ecosystem that enables businesses in any industry to deploy artificially intelligent solutions using our platform and applications. Our mission is to develop science-based, physics-informed AI applications for the critical industries that humanity needs to survive and thrive. By enabling brilliant people to solve pressing humanitarian, energy, scientific, and sustainability challenges, we're proving the power of AI to make a global impact. Our vision is to democratize AI — unlocking the full depth and breadth of human potential through our suite of AI applications, a world-class ML framework and platform that transforms data into actionable intelligence.

We are seeking a highly experienced Subject Matter Expert (SME) in Electrical Submersible Pump (ESP) systems to join our team and guide the development of Lift.ai, an advanced analytical and machine learning platform for production optimization. This role is designed for a senior professional who combines deep ESP domain knowledge with the ability to collaborate on the integration of cutting-edge ML solutions that deliver unprecedented value to operators.

• Act as the technical authority for ESP design, operations, and optimization within n.lift
• Define and validate core ESP performance calculations, physics-based workflows, and diagnostic methodologies.
• Work with data scientists to embed machine learning models into engineering workflows, ensuring results are physically sound, explainable, and actionable.
• Review and validate hybrid (physics + ML) algorithms for optimization, prediction, and anomaly detection.
• Provide domain expertise to ensure ML outputs align with real-world ESP performance, failure modes, and operational constraints.
• Collaborate with software engineers to translate ESP physics, correlations, and field practices into scalable algorithms and user-facing tools.
• Mentor junior engineers and contribute to knowledge transfer across the team.
• Support product strategy by identifying high-value use cases for analytics + ML integration in artificial lift management.
• Represent Lift.ai as an industry thought leader in the application of advanced analytics and ML to ESP systems.

• 10+ years of direct experience with ESP systems (design, operations, optimization, or troubleshooting).
• Expertise in ESP diagnostics (power, current, voltage, vibration, performance degradation, failure mechanisms).
• Solid understanding of petroleum production systems, artificial lift methods, and multiphase flow.
• Experience collaborating with software/ML teams on applied AI solutions (not required to build ML models, but able to guide and validate them technically).
• Strong analytical mindset with the ability to balance physics-based engineering and data-driven insights.
• Excellent communication skills for cross-functional collaboration and client engagement.
• Advanced degree (preferred) or equivalent experience in Petroleum, Electrical, or Mechanical Engineering.

This is a strategic role at the intersection of engineering expertise and machine learning innovation. As SME, you will ensure that Lift.ai becomes the industry's most trusted AI-driven ESP optimization and system health platform, combining the best of engineering science with the power of data.

We are developing an AI ecosystem that enables businesses in any industry to deploy artificially intelligent solutions using our platform and applications. Our mission is to develop science-based, physics-informed AI applications for the critical industries that humanity needs to survive and thrive. By enabling brilliant people to solve pressing humanitarian, energy, scientific, and sustainability challenges, we're proving the power of AI to make a global impact. Our vision is to democratize AI — unlocking the full depth and breadth of human potential through our suite of AI applications, a world-class ML framework and platform that transforms data into actionable intelligence.

We are seeking a highly experienced Subject Matter Expert (SME) in Electrical Submersible Pump (ESP) systems to join our team and guide the development of Lift.ai, an advanced analytical and machine learning platform for production optimization. This role is designed for a senior professional who combines deep ESP domain knowledge with the ability to collaborate on the integration of cutting-edge ML solutions that deliver unprecedented value to operators.

• Act as the technical authority for ESP design, operations, and optimization within n.lift
• Define and validate core ESP performance calculations, physics-based workflows, and diagnostic methodologies.
• Work with data scientists to embed machine learning models into engineering workflows, ensuring results are physically sound, explainable, and actionable.
• Review and validate hybrid (physics + ML) algorithms for optimization, prediction, and anomaly detection.
• Provide domain expertise to ensure ML outputs align with real-world ESP performance, failure modes, and operational constraints.
• Collaborate with software engineers to translate ESP physics, correlations, and field practices into scalable algorithms and user-facing tools.
• Mentor junior engineers and contribute to knowledge transfer across the team.
• Support product strategy by identifying high-value use cases for analytics + ML integration in artificial lift management.
• Represent Lift.ai as an industry thought leader in the application of advanced analytics and ML to ESP systems.

• 10+ years of direct experience with ESP systems (design, operations, optimization, or troubleshooting).
• Expertise in ESP diagnostics (power, current, voltage, vibration, performance degradation, failure mechanisms).
• Solid understanding of petroleum production systems, artificial lift methods, and multiphase flow.
• Experience collaborating with software/ML teams on applied AI solutions (not required to build ML models, but able to guide and validate them technically).
• Strong analytical mindset with the ability to balance physics-based engineering and data-driven insights.
• Excellent communication skills for cross-functional collaboration and client engagement.
• Advanced degree (preferred) or equivalent experience in Petroleum, Electrical, or Mechanical Engineering.

This is a strategic role at the intersection of engineering expertise and machine learning innovation. As SME, you will ensure that Lift.ai becomes the industry's most trusted AI-driven ESP optimization and system health platform, combining the best of engineering science with the power of data.

We are developing an AI ecosystem that enables businesses in any industry to deploy artificially intelligent solutions using our platform and applications. Our mission is to develop science-based, physics-informed AI applications for the critical industries that humanity needs to survive and thrive. By enabling brilliant people to solve pressing humanitarian, energy, scientific, and sustainability challenges, we're proving the power of AI to make a global impact. Our vision is to democratize AI — unlocking the full depth and breadth of human potential through our suite of AI applications, a world-class ML framework and platform that transforms data into actionable intelligence.

We are seeking a highly experienced Subject Matter Expert (SME) in Electrical Submersible Pump (ESP) systems to join our team and guide the development of Lift.ai, an advanced analytical and machine learning platform for production optimization. This role is designed for a senior professional who combines deep ESP domain knowledge with the ability to collaborate on the integration of cutting-edge ML solutions that deliver unprecedented value to operators.

• Act as the technical authority for ESP design, operations, and optimization within n.lift
• Define and validate core ESP performance calculations, physics-based workflows, and diagnostic methodologies.
• Work with data scientists to embed machine learning models into engineering workflows, ensuring results are physically sound, explainable, and actionable.
• Review and validate hybrid (physics + ML) algorithms for optimization, prediction, and anomaly detection.
• Provide domain expertise to ensure ML outputs align with real-world ESP performance, failure modes, and operational constraints.
• Collaborate with software engineers to translate ESP physics, correlations, and field practices into scalable algorithms and user-facing tools.
• Mentor junior engineers and contribute to knowledge transfer across the team.
• Support product strategy by identifying high-value use cases for analytics + ML integration in artificial lift management.
• Represent Lift.ai as an industry thought leader in the application of advanced analytics and ML to ESP systems.

• 10+ years of direct experience with ESP systems (design, operations, optimization, or troubleshooting).
• Expertise in ESP diagnostics (power, current, voltage, vibration, performance degradation, failure mechanisms).
• Solid understanding of petroleum production systems, artificial lift methods, and multiphase flow.
• Experience collaborating with software/ML teams on applied AI solutions (not required to build ML models, but able to guide and validate them technically).
• Strong analytical mindset with the ability to balance physics-based engineering and data-driven insights.
• Excellent communication skills for cross-functional collaboration and client engagement.
• Advanced degree (preferred) or equivalent experience in Petroleum, Electrical, or Mechanical Engineering.

This is a strategic role at the intersection of engineering expertise and machine learning innovation. As SME, you will ensure that Lift.ai becomes the industry's most trusted AI-driven ESP optimization and system health platform, combining the best of engineering science with the power of data.