Embedded Systems Engineer Jobs in Jordan
2794 Jobs Found
<p>Day to day involvement in development of project design tasks assigned by the team leader from early stages of design, through technical design development, to the construction documentation.</p><p>Design Management and Team Leadership:</p><ul><li>Adhere to project deadlines</li><li>Maintain the design quality standards.</li><li>Deliver the project under the guidance of Project Architect (PA), Senior Architect (SA) and/or Design Manager (DM)</li></ul><p><b>Design & Technical Expertise:</b></p><ul><li>Contribute to preparation of project/s concept design preparation including but not limited to: Project Model/s and Graphical presentation Drawings and Reports</li><li>Collaborate with SA or DM on complex design challenges and ensure technical feasibility.</li><li>Develop specific project deliveries while maintaining high quality design and construction documents.</li><li>Adopt creative design and problem solving approach.</li><li>Participate in the design coordination process within Architecture team.</li><li>Develop project BIM Models and design documents (drawings and reports).</li><li>Be informed about the applicable codes requirements and building materials/systems.</li><li>Maintain the models BIM quality level under the guidance of PA/SA/DM with the BIM Coordinator / Manager.</li><li>Accountable for successful project delivery of assigned tasks meeting the targeted deadlines.</li><li>Accountable for maintaining the Quality of assigned tasks.</li><li>Accountable for efficient planning and utilization of project s man hours assigned by team leader.</li></ul><p>Communication and Collaboration:</p><ul><li>Fluency in spoken and written communication</li><li>Active participation in internal meetings and workshops.</li><li>Building strong relationships with other team members.</li><li>Promoting and maintaining collaborative environment in the office</li></ul><p>Department Operations:</p><ul><li>Maintain professional code of conduct in line with the company s ethics.</li><li>Collaborate effectively with other disciplines.</li><li>Participate in Knowledge sharing and skills development.</li><li>Develop ownership approach to assigned design tasks.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>Bachelor s in architecture with good experience.</li><li>Minimum of [2] years of experience in architectural design (Architect Level I).</li><li>Previous training or coop experience in architectural design (Architect).</li><li>Strong understanding of architectural design principles.</li><li>Excellent communication, collaboration, and interpersonal skills.</li><li>Proficient in BIM process, implementation and workflows.</li></ul>
<p>POSITION SUMMARY Install, maintain, perform preventative maintenance on, and recommend replacement of tools, appliances, and equipment. Calibrate all controls, gauges, meters, etc. Identify, locate, and operate all shut-off valves. Order, mark, and stock parts and supplies as needed. Maintain inventory and purchase orders log. Inspect tools, equipment, or machines. Enter and locate work-related information using computers. Operate power lift. Complete the life safety checklist, including the fire-pump run test and generator run test. Inspect fire sprinkler valves and alarm systems. Assist in development of disaster response protocols. Respond and attend to guest repair requests. Assist management in hiring, training, scheduling, evaluating, counseling, disciplining, and motivating and coaching employees. Follow all company and safety and security policies and procedures; report maintenance problems, safety hazards, accidents, or injuries; and complete safety training and certifications. Ensure uniform and personal appearance are clean and professional and maintain confidentiality of proprietary information. Welcome and acknowledge all guests according to company standards, anticipate and address guests service needs, and assist individuals with disabilities. Develop and maintain positive working relationships with others, support team to reach common goals, and listen and respond appropriately to the concerns of other employees. Ensure adherence to quality expectations and standards; and identify, recommend, develop, and implement new ways to increase organizational efficiency, productivity, quality, safety, and/or cost-savings. Speak with others using clear and professional language. Visually inspect tools, equipment, or machines. Reach overhead and below the knees, including bending, twisting, pulling, and stooping. Move, lift, carry, push, pull, and place objects weighing less than or equal to 50 pounds without assistance. Grasp, turn, and manipulate objects of varying size and weight. Stand, sit, or walk for an extended period of time. Move up and down stairs and/or service ramps. Perform other reasonable job duties as requested by Supervisors.</p><p><strong>Desired Candidate Profile</strong></p><p>Education: Technical, Trade, or Vocational School Degree. Related Work Experience: At least 2 years of related work experience. Supervisory Experience: At least 2 years of supervisory experience. License or Certification: None</p>
<p><h4>Description</h4>
<p>Please submit your CV in English and indicate your level of English proficiency.</p>
<p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.</p>
<h4>What this opportunity involves</h4>
<p>While each project involves unique tasks, contributors may:</p>
<ul>
<li>Design original computational engineering problems that simulate real engineering workflows;</li>
<li>Create problems requiring Python programming to solve engineering calculations and simulations;</li>
<li>Ensure problems are computationally intensive and require numerical methods or iterative solutions;</li>
<li>Develop problems involving system design, optimization, and analysis;</li>
<li>Base problems on real research challenges or practical applications from engineering practice;</li>
<li>Verify solutions using Python with standard engineering libraries;</li>
<li>Document problem statements clearly and provide verified correct answers.</li>
</ul>
<h4>What we look for</h4>
<p>This opportunity is a good fit for engineers with experience in Python open to part-time, non-permanent projects. Ideally, contributors will have:</p>
<ul>
<li>Degree in electrical engineering or related fields;</li>
<li>Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata, or knowledge of any programming language can be equivalent;</li>
<li>2+ years of professional experience: applied, research, or teaching experience is applicable;</li>
<li>Understanding of practical engineering constraints and approximations;</li>
<li>Strong written English (C1+);</li>
<li>Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are an advantage.</li>
</ul>
<h4>How it works</h4>
<p>Apply? Pass qualification(s)? Join a project? Complete tasks? Get paid.</p>
<h4>Project time expectations</h4>
<p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p>
<h4>Compensation</h4>
<p>On this project, contributors can earn up to $37 per hour equivalent, depending on their level and pace of contribution.</p>
<p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>
<p><h4>Description</h4>
<p>Please submit your CV in English and indicate your level of English proficiency.</p>
<p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.</p>
<h4>What this opportunity involves</h4>
<p>While each project involves unique tasks, contributors may:</p>
<ul>
<li>Design original computational engineering problems that simulate real engineering workflows;</li>
<li>Create problems requiring Python programming to solve engineering calculations and simulations;</li>
<li>Ensure problems are computationally intensive and require numerical methods or iterative solutions;</li>
<li>Develop problems involving system design, optimization, and analysis;</li>
<li>Base problems on real research challenges or practical applications from engineering practice;</li>
<li>Verify solutions using Python with standard engineering libraries;</li>
<li>Document problem statements clearly and provide verified correct answers.</li>
</ul>
<h4>What we look for</h4>
<p>This opportunity is a good fit for engineers with experience in Python open to part-time, non-permanent projects. Ideally, contributors will have:</p>
<ul>
<li>Degree in electrical engineering or related fields;</li>
<li>Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata, or knowledge of any programming language can be equivalent;</li>
<li>2+ years of professional experience: applied, research, or teaching experience is applicable;</li>
<li>Understanding of practical engineering constraints and approximations;</li>
<li>Strong written English (C1+);</li>
<li>Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are an advantage.</li>
</ul>
<h4>How it works</h4>
<p>Apply? Pass qualification(s)? Join a project? Complete tasks? Get paid.</p>
<h4>Project time expectations</h4>
<p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p>
<h4>Compensation</h4>
<p>On this project, contributors can earn up to $37 per hour equivalent, depending on their level and pace of contribution.</p>
<p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>
<p><h4>Description</h4>
<p>Please submit your CV in English and indicate your level of English proficiency.</p>
<p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.</p>
<h4>What this opportunity involves</h4>
<p>While each project involves unique tasks, contributors may:</p>
<ul>
<li>Design original computational statistics problems that simulate real mathematical research workflows;</li>
<li>Create problems requiring Python programming to solve (using Numpy, SciPy, Sympy);</li>
<li>Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks);</li>
<li>Develop problems requiring non-trivial reasoning chains in areas like number theory, combinatorics, graph theory, and numerical analysis;</li>
<li>Base problems on real research challenges or practical applications from mathematical practice;</li>
<li>Verify solutions using Python with standard mathematical libraries;</li>
<li>Document problem statements clearly and provide verified correct answers.</li>
</ul>
<h4>What we look for</h4>
<p>This opportunity is a good fit for statistics specialists with experience in Python open to part-time, non-permanent projects. Ideally, contributors will have:</p>
<ul>
<li>Degree in statistics or related fields;</li>
<li>Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata, or knowledge of any programming language can be equivalent;</li>
<li>2+ years of professional experience: applied, research, or teaching experience is applicable;</li>
<li>Strong written English (C1+);</li>
<li>Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are an advantage.</li>
</ul>
<h4>How it works</h4>
<p>Apply? Pass qualification(s)? Join a project? Complete tasks? Get paid.</p>
<h4>Project time expectations</h4>
<p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p>
<h4>Compensation</h4>
<p>On this project, contributors can earn up to $39 per hour equivalent, depending on their level and pace of contribution.</p>
<p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>
<p><h4>Description</h4>
<p>Please submit your CV in English and indicate your level of English proficiency.</p>
<p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.</p>
<h4>What this opportunity involves</h4>
<p>While each project involves unique tasks, contributors may:</p>
<ul>
<li>Design original computational statistics problems that simulate real mathematical research workflows;</li>
<li>Create problems requiring Python programming to solve (using Numpy, SciPy, Sympy);</li>
<li>Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks);</li>
<li>Develop problems requiring non-trivial reasoning chains in areas like number theory, combinatorics, graph theory, and numerical analysis;</li>
<li>Base problems on real research challenges or practical applications from mathematical practice;</li>
<li>Verify solutions using Python with standard mathematical libraries;</li>
<li>Document problem statements clearly and provide verified correct answers.</li>
</ul>
<h4>What we look for</h4>
<p>This opportunity is a good fit for statistics specialists with experience in Python open to part-time, non-permanent projects. Ideally, contributors will have:</p>
<ul>
<li>Degree in statistics or related fields;</li>
<li>Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata, or knowledge of any programming language can be equivalent;</li>
<li>2+ years of professional experience: applied, research, or teaching experience is applicable;</li>
<li>Strong written English (C1+);</li>
<li>Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are an advantage.</li>
</ul>
<h4>How it works</h4>
<p>Apply? Pass qualification(s)? Join a project? Complete tasks? Get paid.</p>
<h4>Project time expectations</h4>
<p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p>
<h4>Compensation</h4>
<p>On this project, contributors can earn up to $39 per hour equivalent, depending on their level and pace of contribution.</p>
<p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>
<p><h4>Description</h4>
<p>Please submit your CV in English and indicate your level of English proficiency.</p>
<p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.</p>
<h4>What this opportunity involves</h4>
<p>While each project involves unique tasks, contributors may:</p>
<ul>
<li>Design original computational engineering problems that simulate real engineering workflows;</li>
<li>Create problems requiring Python programming to solve engineering calculations and simulations;</li>
<li>Ensure problems are computationally intensive and require numerical methods or iterative solutions;</li>
<li>Develop problems involving system design, optimization, and analysis;</li>
<li>Base problems on real research challenges or practical applications from engineering practice;</li>
<li>Verify solutions using Python with standard engineering libraries;</li>
<li>Document problem statements clearly and provide verified correct answers.</li>
</ul>
<h4>What we look for</h4>
<p>This opportunity is a good fit for engineers with experience in Python open to part-time, non-permanent projects. Ideally, contributors will have:</p>
<ul>
<li>Degree in Mechanical Engineering or related fields;</li>
<li>Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata, or knowledge of any programming language can be equivalent;</li>
<li>2+ years of professional experience: applied, research, or teaching experience is applicable;</li>
<li>Understanding of practical engineering constraints and approximations;</li>
<li>Strong written English (C1+);</li>
<li>Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are an advantage.</li>
</ul>
<h4>How it works</h4>
<p>Apply? Pass qualification(s)? Join a project? Complete tasks? Get paid.</p>
<h4>Project time expectations</h4>
<p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p>
<h4>Compensation</h4>
<p>On this project, contributors can earn up to $37 per hour equivalent, depending on their level and pace of contribution.</p>
<p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>
<p><h4>Description</h4>
<p>Please submit your CV in English and indicate your level of English proficiency.</p>
<p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.</p>
<h4>What this opportunity involves</h4>
<p>While each project involves unique tasks, contributors may:</p>
<ul>
<li>Design original computational engineering problems that simulate real engineering workflows;</li>
<li>Create problems requiring Python programming to solve engineering calculations and simulations;</li>
<li>Ensure problems are computationally intensive and require numerical methods or iterative solutions;</li>
<li>Develop problems involving system design, optimization, and analysis;</li>
<li>Base problems on real research challenges or practical applications from engineering practice;</li>
<li>Verify solutions using Python with standard engineering libraries;</li>
<li>Document problem statements clearly and provide verified correct answers.</li>
</ul>
<h4>What we look for</h4>
<p>This opportunity is a good fit for engineers with experience in Python open to part-time, non-permanent projects. Ideally, contributors will have:</p>
<ul>
<li>Degree in Mechanical Engineering or related fields;</li>
<li>Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata, or knowledge of any programming language can be equivalent;</li>
<li>2+ years of professional experience: applied, research, or teaching experience is applicable;</li>
<li>Understanding of practical engineering constraints and approximations;</li>
<li>Strong written English (C1+);</li>
<li>Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are an advantage.</li>
</ul>
<h4>How it works</h4>
<p>Apply? Pass qualification(s)? Join a project? Complete tasks? Get paid.</p>
<h4>Project time expectations</h4>
<p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p>
<h4>Compensation</h4>
<p>On this project, contributors can earn up to $37 per hour equivalent, depending on their level and pace of contribution.</p>
<p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>
<p><h4>Description</h4>
<p>Please submit your CV in English and indicate your level of English proficiency.</p>
<p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.</p>
<h4>What this opportunity involves</h4>
<p>While each project involves unique tasks, contributors may:</p>
<ul>
<li>Design original computational chemistry problems that simulate real chemistry research workflows;</li>
<li>Create problems requiring Python programming to solve (using numpy, scipy, chemical libraries);</li>
<li>Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks);</li>
<li>Develop problems requiring non-trivial reasoning chains in physical chemistry, quantum chemistry, and molecular modeling;</li>
<li>Base problems on real research challenges or practical applications from chemistry practice;</li>
<li>Verify solutions using Python with standard computational chemistry approaches;</li>
<li>Document problem statements clearly and provide verified correct answers.</li>
</ul>
<h4>What we look for</h4>
<p>This opportunity is a good fit for chemistry specialists with experience in Python open to part-time, non-permanent projects. Ideally, contributors will have:</p>
<ul>
<li>Degree in chemistry or related fields;</li>
<li>Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata, or knowledge of any programming language can be equivalent;</li>
<li>2+ years of professional experience: applied, research, or teaching experience is applicable;</li>
<li>Experience with numerical methods in chemistry;</li>
<li>Familiarity with computational chemistry concepts and methods;</li>
<li>Strong written English (C1+).</li>
</ul>
<h4>How it works</h4>
<p>Apply > Pass qualification(s) > Join a project > Complete tasks > Get paid</p>
<h4>Project time expectations</h4>
<p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p>
<h4>Compensation</h4>
<p>On this project, contributors can earn up to $35 per hour equivalent, depending on their level and pace of contribution.</p>
<p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>
<p><h4>Description</h4>
<p>Please submit your CV in English and indicate your level of English proficiency.</p>
<p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.</p>
<h4>What this opportunity involves</h4>
<p>While each project involves unique tasks, contributors may:</p>
<ul>
<li>Design original computational chemistry problems that simulate real chemistry research workflows;</li>
<li>Create problems requiring Python programming to solve (using numpy, scipy, chemical libraries);</li>
<li>Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks);</li>
<li>Develop problems requiring non-trivial reasoning chains in physical chemistry, quantum chemistry, and molecular modeling;</li>
<li>Base problems on real research challenges or practical applications from chemistry practice;</li>
<li>Verify solutions using Python with standard computational chemistry approaches;</li>
<li>Document problem statements clearly and provide verified correct answers.</li>
</ul>
<h4>What we look for</h4>
<p>This opportunity is a good fit for chemistry specialists with experience in Python open to part-time, non-permanent projects. Ideally, contributors will have:</p>
<ul>
<li>Degree in chemistry or related fields;</li>
<li>Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata, or knowledge of any programming language can be equivalent;</li>
<li>2+ years of professional experience: applied, research, or teaching experience is applicable;</li>
<li>Experience with numerical methods in chemistry;</li>
<li>Familiarity with computational chemistry concepts and methods;</li>
<li>Strong written English (C1+).</li>
</ul>
<h4>How it works</h4>
<p>Apply > Pass qualification(s) > Join a project > Complete tasks > Get paid</p>
<h4>Project time expectations</h4>
<p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p>
<h4>Compensation</h4>
<p>On this project, contributors can earn up to $35 per hour equivalent, depending on their level and pace of contribution.</p>
<p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>
<p><h4>Description</h4>
<p>Please submit your CV in English and indicate your level of English proficiency.</p>
<p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.</p>
<h4>What this opportunity involves</h4>
<p>While each project involves unique tasks, contributors may:</p>
<ul>
<li>Design original computational mathematics problems that simulate real mathematical research workflows;</li>
<li>Create problems requiring Python programming to solve (using Numpy, SciPy, Sympy);</li>
<li>Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks);</li>
<li>Develop problems requiring non-trivial reasoning chains in areas like number theory, combinatorics, graph theory, and numerical analysis;</li>
<li>Base problems on real research challenges or practical applications from mathematical practice;</li>
<li>Verify solutions using Python with standard mathematical libraries;</li>
<li>Document problem statements clearly and provide verified correct answers.</li>
</ul>
<h4>What we look for</h4>
<p>This opportunity is a good fit for mathematicians with experience in Python open to part-time, non-permanent projects. Ideally, contributors will have:</p>
<ul>
<li>Degree in Mathematics (Pure or Applied) or related fields;</li>
<li>Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent;</li>
<li>2+ years of professional experience: applied, research, or teaching experience is applicable;</li>
<li>Experience with numerical methods and symbolic computation;</li>
<li>Ability to design problems that mirror real mathematical research workflows;</li>
<li>Familiarity with computational complexity theory;</li>
<li>Strong written English (C1+).</li>
</ul>
<h4>How it works</h4>
<p>Apply? Pass qualification(s)? Join a project? Complete tasks? Get paid.</p>
<h4>Project time expectations</h4>
<p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p>
<h4>Compensation</h4>
<p>On this project, contributors can earn up to $35 per hour equivalent, depending on their level and pace of contribution.</p>
<p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>
<p><h4>Description</h4>
<p>Please submit your CV in English and indicate your level of English proficiency.</p>
<p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.</p>
<h4>What this opportunity involves</h4>
<p>While each project involves unique tasks, contributors may:</p>
<ul>
<li>Design original computational mathematics problems that simulate real mathematical research workflows;</li>
<li>Create problems requiring Python programming to solve (using Numpy, SciPy, Sympy);</li>
<li>Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks);</li>
<li>Develop problems requiring non-trivial reasoning chains in areas like number theory, combinatorics, graph theory, and numerical analysis;</li>
<li>Base problems on real research challenges or practical applications from mathematical practice;</li>
<li>Verify solutions using Python with standard mathematical libraries;</li>
<li>Document problem statements clearly and provide verified correct answers.</li>
</ul>
<h4>What we look for</h4>
<p>This opportunity is a good fit for mathematicians with experience in Python open to part-time, non-permanent projects. Ideally, contributors will have:</p>
<ul>
<li>Degree in Mathematics (Pure or Applied) or related fields;</li>
<li>Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent;</li>
<li>2+ years of professional experience: applied, research, or teaching experience is applicable;</li>
<li>Experience with numerical methods and symbolic computation;</li>
<li>Ability to design problems that mirror real mathematical research workflows;</li>
<li>Familiarity with computational complexity theory;</li>
<li>Strong written English (C1+).</li>
</ul>
<h4>How it works</h4>
<p>Apply? Pass qualification(s)? Join a project? Complete tasks? Get paid.</p>
<h4>Project time expectations</h4>
<p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p>
<h4>Compensation</h4>
<p>On this project, contributors can earn up to $35 per hour equivalent, depending on their level and pace of contribution.</p>
<p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>
<p><h4>Description</h4>
<p>Please submit your CV in English and indicate your level of English proficiency.</p>
<p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.</p>
<h4>What this opportunity involves</h4>
<p>While each project involves unique tasks, contributors may:</p>
<ul>
<li>Design original computational engineering problems that simulate real engineering workflows;</li>
<li>Create problems requiring Python programming to solve engineering calculations and simulations;</li>
<li>Ensure problems are computationally intensive and require numerical methods or iterative solutions;</li>
<li>Develop problems involving system design, optimization, and analysis;</li>
<li>Base problems on real research challenges or practical applications from engineering practice;</li>
<li>Verify solutions using Python with standard engineering libraries;</li>
<li>Document problem statements clearly and provide verified correct answers.</li>
</ul>
<h4>What we look for</h4>
<p>This opportunity is a good fit for engineers with experience in Python open to part-time, non-permanent projects. Ideally, contributors will have:</p>
<ul>
<li>Degree in electrical engineering or related fields;</li>
<li>Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata, or knowledge of any programming language can be equivalent;</li>
<li>2+ years of professional experience: applied, research, or teaching experience is applicable;</li>
<li>Understanding of practical engineering constraints and approximations;</li>
<li>Strong written English (C1+);</li>
<li>Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are an advantage.</li>
</ul>
<h4>How it works</h4>
<p>Apply? Pass qualification(s)? Join a project? Complete tasks? Get paid.</p>
<h4>Project time expectations</h4>
<p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p>
<h4>Compensation</h4>
<p>On this project, contributors can earn up to $37 per hour equivalent, depending on their level and pace of contribution.</p>
<p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>
<p><h4>Description</h4>
<p>Please submit your CV in English and indicate your level of English proficiency.</p>
<p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.</p>
<h4>What this opportunity involves</h4>
<p>While each project involves unique tasks, contributors may:</p>
<ul>
<li>Design original computational engineering problems that simulate real engineering workflows;</li>
<li>Create problems requiring Python programming to solve engineering calculations and simulations;</li>
<li>Ensure problems are computationally intensive and require numerical methods or iterative solutions;</li>
<li>Develop problems involving system design, optimization, and analysis;</li>
<li>Base problems on real research challenges or practical applications from engineering practice;</li>
<li>Verify solutions using Python with standard engineering libraries;</li>
<li>Document problem statements clearly and provide verified correct answers.</li>
</ul>
<h4>What we look for</h4>
<p>This opportunity is a good fit for engineers with experience in Python open to part-time, non-permanent projects. Ideally, contributors will have:</p>
<ul>
<li>Degree in electrical engineering or related fields;</li>
<li>Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata, or knowledge of any programming language can be equivalent;</li>
<li>2+ years of professional experience: applied, research, or teaching experience is applicable;</li>
<li>Understanding of practical engineering constraints and approximations;</li>
<li>Strong written English (C1+);</li>
<li>Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are an advantage.</li>
</ul>
<h4>How it works</h4>
<p>Apply? Pass qualification(s)? Join a project? Complete tasks? Get paid.</p>
<h4>Project time expectations</h4>
<p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p>
<h4>Compensation</h4>
<p>On this project, contributors can earn up to $37 per hour equivalent, depending on their level and pace of contribution.</p>
<p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>
<p><h4>Description</h4>
<p>Please submit your CV in English and indicate your level of English proficiency.</p>
<p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.</p>
<h4>What this opportunity involves</h4>
<p>While each project involves unique tasks, contributors may:</p>
<ul>
<li>Design original computational statistics problems that simulate real mathematical research workflows;</li>
<li>Create problems requiring Python programming to solve (using Numpy, SciPy, Sympy);</li>
<li>Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks);</li>
<li>Develop problems requiring non-trivial reasoning chains in areas like number theory, combinatorics, graph theory, and numerical analysis;</li>
<li>Base problems on real research challenges or practical applications from mathematical practice;</li>
<li>Verify solutions using Python with standard mathematical libraries;</li>
<li>Document problem statements clearly and provide verified correct answers.</li>
</ul>
<h4>What we look for</h4>
<p>This opportunity is a good fit for statistics specialists with experience in Python open to part-time, non-permanent projects. Ideally, contributors will have:</p>
<ul>
<li>Degree in statistics or related fields;</li>
<li>Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent;</li>
<li>2+ years of professional experience: applied, research, or teaching experience is applicable;</li>
<li>Strong written English (C1+);</li>
<li>Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are an advantage.</li>
</ul>
<h4>How it works</h4>
<p>Apply > Pass qualification(s) > Join a project > Complete tasks > Get paid</p>
<h4>Project time expectations</h4>
<p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p>
<h4>Compensation</h4>
<p>On this project, contributors can earn up to $39 per hour equivalent, depending on their level and pace of contribution.</p>
<p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>
<p><h4>Description</h4>
<p>Please submit your CV in English and indicate your level of English proficiency.</p>
<p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.</p>
<h4>What this opportunity involves</h4>
<p>While each project involves unique tasks, contributors may:</p>
<ul>
<li>Design original computational statistics problems that simulate real mathematical research workflows;</li>
<li>Create problems requiring Python programming to solve (using Numpy, SciPy, Sympy);</li>
<li>Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks);</li>
<li>Develop problems requiring non-trivial reasoning chains in areas like number theory, combinatorics, graph theory, and numerical analysis;</li>
<li>Base problems on real research challenges or practical applications from mathematical practice;</li>
<li>Verify solutions using Python with standard mathematical libraries;</li>
<li>Document problem statements clearly and provide verified correct answers.</li>
</ul>
<h4>What we look for</h4>
<p>This opportunity is a good fit for statistics specialists with experience in Python open to part-time, non-permanent projects. Ideally, contributors will have:</p>
<ul>
<li>Degree in statistics or related fields;</li>
<li>Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent;</li>
<li>2+ years of professional experience: applied, research, or teaching experience is applicable;</li>
<li>Strong written English (C1+);</li>
<li>Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are an advantage.</li>
</ul>
<h4>How it works</h4>
<p>Apply > Pass qualification(s) > Join a project > Complete tasks > Get paid</p>
<h4>Project time expectations</h4>
<p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p>
<h4>Compensation</h4>
<p>On this project, contributors can earn up to $39 per hour equivalent, depending on their level and pace of contribution.</p>
<p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>
<p><h4>Description</h4>
<p>Please submit your CV in English and indicate your level of English proficiency.</p>
<p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.</p>
<h4>What this opportunity involves</h4>
<p>While each project involves unique tasks, contributors may:</p>
<ul>
<li>Design original computational engineering problems that simulate real engineering workflows;</li>
<li>Create problems requiring Python programming to solve engineering calculations and simulations;</li>
<li>Ensure problems are computationally intensive and require numerical methods or iterative solutions;</li>
<li>Develop problems involving system design, optimization, and analysis;</li>
<li>Base problems on real research challenges or practical applications from engineering practice;</li>
<li>Verify solutions using Python with standard engineering libraries;</li>
<li>Document problem statements clearly and provide verified correct answers.</li>
</ul>
<h4>What we look for</h4>
<p>This opportunity is a good fit for engineers with experience in Python open to part-time, non-permanent projects. Ideally, contributors will have:</p>
<ul>
<li>Degree in Mechanical Engineering or related fields;</li>
<li>Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata, or knowledge of any programming language can be equivalent;</li>
<li>2+ years of professional experience: applied, research, or teaching experience is applicable;</li>
<li>Understanding of practical engineering constraints and approximations;</li>
<li>Strong written English (C1+);</li>
<li>Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are an advantage.</li>
</ul>
<h4>How it works</h4>
<p>Apply ? Pass qualification(s) ? Join a project ? Complete tasks ? Get paid</p>
<h4>Project time expectations</h4>
<p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p>
<h4>Compensation</h4>
<p>On this project, contributors can earn up to $37 per hour equivalent, depending on their level and pace of contribution.</p>
<p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>
<p><h4>Description</h4>
<p>Please submit your CV in English and indicate your level of English proficiency.</p>
<p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.</p>
<h4>What this opportunity involves</h4>
<p>While each project involves unique tasks, contributors may:</p>
<ul>
<li>Design original computational engineering problems that simulate real engineering workflows;</li>
<li>Create problems requiring Python programming to solve engineering calculations and simulations;</li>
<li>Ensure problems are computationally intensive and require numerical methods or iterative solutions;</li>
<li>Develop problems involving system design, optimization, and analysis;</li>
<li>Base problems on real research challenges or practical applications from engineering practice;</li>
<li>Verify solutions using Python with standard engineering libraries;</li>
<li>Document problem statements clearly and provide verified correct answers.</li>
</ul>
<h4>What we look for</h4>
<p>This opportunity is a good fit for engineers with experience in Python open to part-time, non-permanent projects. Ideally, contributors will have:</p>
<ul>
<li>Degree in Mechanical Engineering or related fields;</li>
<li>Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata, or knowledge of any programming language can be equivalent;</li>
<li>2+ years of professional experience: applied, research, or teaching experience is applicable;</li>
<li>Understanding of practical engineering constraints and approximations;</li>
<li>Strong written English (C1+);</li>
<li>Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are an advantage.</li>
</ul>
<h4>How it works</h4>
<p>Apply ? Pass qualification(s) ? Join a project ? Complete tasks ? Get paid</p>
<h4>Project time expectations</h4>
<p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p>
<h4>Compensation</h4>
<p>On this project, contributors can earn up to $37 per hour equivalent, depending on their level and pace of contribution.</p>
<p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>
<p><p>Robusta Technology Group (RTG) is a key driver of digital transformation by providing a holistic tech ecosystem. RTG works with its local and international partners to help build digital customer experiences, establish engineering hubs and build ventures across multiple industries and domains. In this pursuit, RTG serves as a catalyst for impact and growth through events, spaces and content focused on creating impact and growth across the different interactions.</p>
<p>Octopus is proud to be part of the Robusta Technology Group (RTG), a leading tech consultancy group. With a decade of experience and a successful track record of delivering over 300 projects across Europe, the Middle East, and North America, RTG has established itself as a preferred employer in the Egyptian market. Octopus and Robusta are building a bridge between Europe and Africa, creating tailored hub solutions to connect companies with top talent across the globe.</p>
<h4>Job overview</h4>
<p>We are seeking a Salesforce Data Cloud senior executive to support the implementation and ongoing management of data-driven initiatives within the Salesforce ecosystem. This role focuses on executing data workflows, enabling audience segmentation, and collaborating with cross-functional teams to enhance customer insights and engagement.</p>
<h4>Role responsibilities</h4>
<ul>
<li>Support the implementation and ongoing management of Salesforce Data Cloud</li>
<li>Integrate data from multiple sources into the platform (CRM, digital channels, third-party systems)</li>
<li>Execute and optimize audience segmentation for marketing and business use cases</li>
<li>Monitor data pipelines, troubleshoot issues, and ensure data accuracy and consistency</li>
<li>Collaborate with marketing, sales, and technical teams to translate business needs into data use cases</li>
<li>Maintain and enhance data models, calculated insights, and reporting structures</li>
<li>Ensure adherence to data governance and privacy standards</li>
<li>Develop reports and dashboards to support business decisions</li>
</ul>
<h4>Requirements</h4>
<ul>
<li>5+ years of experience working with Salesforce or related technologies</li>
<li>Hands-on experience or strong exposure to Salesforce Data Cloud or similar CDP tools</li>
<li>Solid understanding of data management concepts (ETL processes, data modeling)</li>
<li>Proficiency in SQL or similar querying languages</li>
<li>Experience with data integration techniques and APIs</li>
<li>Strong coordination, communication, and problem-solving skills</li>
</ul></p><p></p>
<p><p>Robusta Technology Group (RTG) is a key driver of digital transformation by providing a holistic tech ecosystem. RTG works with its local and international partners to help build digital customer experiences, establish engineering hubs and build ventures across multiple industries and domains. In this pursuit, RTG serves as a catalyst for impact and growth through events, spaces and content focused on creating impact and growth across the different interactions.</p>
<p>Octopus is proud to be part of the Robusta Technology Group (RTG), a leading tech consultancy group. With a decade of experience and a successful track record of delivering over 300 projects across Europe, the Middle East, and North America, RTG has established itself as a preferred employer in the Egyptian market. Octopus and Robusta are building a bridge between Europe and Africa, creating tailored hub solutions to connect companies with top talent across the globe.</p>
<h4>Job overview</h4>
<p>We are seeking a Salesforce Data Cloud senior executive to support the implementation and ongoing management of data-driven initiatives within the Salesforce ecosystem. This role focuses on executing data workflows, enabling audience segmentation, and collaborating with cross-functional teams to enhance customer insights and engagement.</p>
<h4>Role responsibilities</h4>
<ul>
<li>Support the implementation and ongoing management of Salesforce Data Cloud</li>
<li>Integrate data from multiple sources into the platform (CRM, digital channels, third-party systems)</li>
<li>Execute and optimize audience segmentation for marketing and business use cases</li>
<li>Monitor data pipelines, troubleshoot issues, and ensure data accuracy and consistency</li>
<li>Collaborate with marketing, sales, and technical teams to translate business needs into data use cases</li>
<li>Maintain and enhance data models, calculated insights, and reporting structures</li>
<li>Ensure adherence to data governance and privacy standards</li>
<li>Develop reports and dashboards to support business decisions</li>
</ul>
<h4>Requirements</h4>
<ul>
<li>5+ years of experience working with Salesforce or related technologies</li>
<li>Hands-on experience or strong exposure to Salesforce Data Cloud or similar CDP tools</li>
<li>Solid understanding of data management concepts (ETL processes, data modeling)</li>
<li>Proficiency in SQL or similar querying languages</li>
<li>Experience with data integration techniques and APIs</li>
<li>Strong coordination, communication, and problem-solving skills</li>
</ul></p><p></p>