Qureos Mentor

Experts Group International

<div>
 
 Mechanical Engineer:
 
 
 12 months contract - (extendable)
 
 
 
 
 
 The Mechanical Engineer will be responsible for supporting and supervising mechanical works across various building projects, including warehouses, fit-outs, and labor accommodations. The role ensures that projects are completed on time, within scope, aligned with specifications and standards, and within budget.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Perform a range of engineering duties related to construction projects, including calculations, cost analysis, BOQs, reviewing drawings, and evaluating specifications.
 </li>
 <li>
 Participate in reviewing contractor activities to ensure compliance with contractual obligations.
 </li>
 <li>
 Review mechanical drawings, plans, and submissions from consultants and contractors to confirm alignment with standards, regulatory requirements, and project specifications.
 </li>
 <li>
 Apply technical and commercial judgement in evaluating variations, claims, and new work items.
 </li>
 <li>
 Possess strong knowledge of local authority requirements, regulations, permits, and NOC procedures relevant to project execution.
 </li>
 <li>
 Ensure compliance with health and safety standards and report any issues.
 </li>
 <li>
 Oversee day-to-day activities of technical consultants and ensure effective utilization and delivery of assignments.
 </li>
 <li>
 Manage multiple small to medium-size projects, providing regular status updates to ensure successful delivery.
 </li>
 <li>
 Prepare project reports at agreed intervals and as required based on project activity.
 </li>
 <li>
 Collaborate with engineers, architects, and other stakeholders to determine project specifications and requirements.
 </li>
 <li>
 Evaluate project progress and prepare detailed progress reports.
 </li>
 <li>
 Review and assess periodic progress reports submitted by consultants or contractors.
 </li>
 <li>
 Demonstrate strong verbal communication and presentation skills.
 </li>
 </ul>
 
 
 
 
 
 Analysis and Reporting
 
 
 <ul>
 <li>
 Support periodic management reporting on project status, including schedules, costs, risks, and opportunities.
 </li>
 <li>
 Assist in conducting risk assessments for assigned projects and ensure timely resolution of identified risks and issues.
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Mechanical Engineering or an equivalent discipline.
 </li>
 <li>
 Project Management certifications such as PMP are an advantage.
 </li>
 <li>
 Minimum
 
 5 years of experience
 
 in similar construction-based mechanical engineering roles.
 </li>
 <li>
 Fluent in English.
 </li>
 <li>
 Strong technical knowledge in mechanical and electrical elements within construction projects (including warehouses and labor accommodations).
 </li>
 <li>
 Excellent project management skills.
 </li>
 <li>
 NFPA or Civil Defense certifications are an advantage.
 </li>
 <li>
 Strong analytical and problem-solving skills.
 </li>
 </ul>
 
 
</div>

Mechanical Engineer

<div>
 
 *This is a 12 month contract*
 
 
 
 
 
 
 Position Title:
 
 Machine Learning Engineer (12 month contract)
 
 
 
 Reports to:
 
 Senior Manager, Data &amp; AI
 
 
 
 
 
 
 JOB PURPOSE
 
 
 
 The Machine Learning Engineer will play a key role in developing and deploying production-grade AI/ML models that support critical business processes such as decision automation, customer analytics, and intelligent operations. The role is responsible for embedding machine learning into scalable, real-time workflows across the organisation.
 
 
 
 
 
 
 CORE RESPONSIBILITIES
 
 
 
 
 Model Engineering &amp; Optimization
 
 
 <ul>
 <li>
 Deploy and maintain machine learning models in production environments with strong focus on performance, scalability, and reliability.
 </li>
 <li>
 Optimize ML pipelines for low-latency and real-time inference use cases.
 </li>
 <li>
 Integrate explainability frameworks (e.g., SHAP) into dashboards and business tools.
 </li>
 </ul>
 
 
 Data Pipeline Development
 
 
 <ul>
 <li>
 Design and build scalable ETL/ELT pipelines using Databricks, Python, and SQL for ingesting data from CRM, ERP, and third-party systems.
 </li>
 <li>
 Ensure data quality, consistency, and timely availability for ML models and business intelligence platforms.
 </li>
 <li>
 Monitor and troubleshoot data pipelines to reduce downtime and support reporting needs.
 </li>
 </ul>
 
 
 MLOps &amp; Model Lifecycle Management
 
 
 <ul>
 <li>
 Implement CI/CD pipelines for machine learning using tools such as MLflow, DVC, or SageMaker Pipelines.
 </li>
 <li>
 Maintain version control, reproducibility, and consistent deployments across staging and production environments.
 </li>
 <li>
 Conduct model validation, A/B testing, drift detection, and ongoing model performance monitoring.
 </li>
 </ul>
 
 
 Collaboration &amp; Communication
 
 
 <ul>
 <li>
 Work closely with data scientists to productionize model prototypes for optimal performance and stability.
 </li>
 <li>
 Act as the link between technical teams and business stakeholders to integrate ML outputs into daily operations.
 </li>
 <li>
 Present insights, findings, and project updates in clear, actionable formats tailored to both technical and non-technical audiences.
 </li>
 </ul>
 
 
 Training, Support &amp; Documentation
 
 
 <ul>
 <li>
 Create and maintain documentation for ML models, pipelines, and workflows.
 </li>
 <li>
 Provide training to analysts and end-users on interpreting model outputs, risk scores, and key performance indicators.
 </li>
 <li>
 Support ad-hoc data requests and contribute to analysis involving integrated ML components.
 </li>
 </ul>
 
 
 
 
 
 QUALIFICATIONS &amp; EXPERIENCE
 
 
 
 
 Education
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Engineering, Data Science, Operations Research, Statistics, Applied Mathematics, or a related field (equivalent experience considered).
 </li>
 </ul>
 
 
 Technical Skills
 
 
 <ul>
 <li>
 Strong experience across the full machine learning lifecycle including data preprocessing, model development, evaluation, deployment, and monitoring.
 </li>
 <li>
 Proficiency in
 
 Python
 
 ,
 
 SQL
 
 , and ML libraries (scikit-learn, XGBoost, TensorFlow, PyTorch).
 </li>
 <li>
 Hands-on experience with
 
 MLOps platforms
 
 (MLflow, SageMaker, Azure ML, Databricks Model Serving).
 </li>
 <li>
 Familiarity with CI/CD for ML,
 
 Docker
 
 , and orchestration tools (Airflow, Kubeflow, etc.).
 </li>
 </ul>
 
 
</div>

Machine Learning Engineer

<div>
 
 This position is a contract/interim role!
 
 
 
 
 
 The ideal candidate is a
 
 seasoned project and program management professional
 
 with extensive experience leading
 
 large-scale, cross-functional initiatives
 
 within real estate, development, or Investment environments. They will bring strong technical understanding, executive-level communication skills, and the ability to coordinate seamlessly across diverse business units.
 
 
 
 
 
 
 Core Experience &amp; Background
 
 
 <ul>
 <li>
 
 10+ years of project management experience
 
 , including delivery of complex, multi-department programs (Commercial, Finance, IT, Procurement, Branding, Development).
 </li>
 <li>
 Strong background in
 
 real estate or development-focused project management
 
 &mdash;able to oversee initiatives involving commercial, operational, and technical streams.
 </li>
 <li>
 Proven experience working with or alongside
 
 government entities
 
 and navigating multi-stakeholder environments.
 </li>
 <li>
 Demonstrated history of delivering projects under tight timelines with a high level of governance, structure, and risk control.
 </li>
 </ul>
 
 
 
 
 
 Key Competencies
 
 
 <ul>
 <li>
 
 Expert project and program management
 
 capabilities (end-to-end planning, execution, governance, tracking, and reporting).
 </li>
 <li>
 Proficiency in
 
 agile and waterfall methodologies
 
 , and comfort with a wide range of project management tools.
 </li>
 <li>
 Strong
 
 leadership ability
 
 , able to align cross-functional teams and influence senior stakeholders.
 </li>
 <li>
 High-level
 
 communication and presentation skills
 
 , including executive-ready PowerPoint presentations.
 </li>
 <li>
 Skilled in
 
 risk assessment, issue mitigation, and stakeholder management
 
 .
 </li>
 <li>
 Ability to support and coordinate
 
 IT-related delivery and integration
 
 within wider business programs.
 </li>
 </ul>
 
 
 
 
 
 Technical &amp; Educational Requirements
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in
 
 Project Management, Business Administration, Engineering
 
 , or a related field.
 </li>
 <li>
 Professional certifications such as
 
 PMP or PRINCE2
 
 (highly preferred).
 </li>
 <li>
 Strong governance, reporting, and organizational strengths.
 </li>
 </ul>
 
 
 
 
 
 Soft Skills &amp; Attributes
 
 
 <ul>
 <li>
 Highly structured, detail-oriented, and disciplined in execution.
 </li>
 <li>
 Adept at managing senior-level expectations and communicating program status with clarity.
 </li>
 <li>
 Comfortable operating in a fast-paced, high-visibility environment with multiple moving parts.
 </li>
 <li>
 Strong relationship builder with credibility across business and technical functions.
 </li>
 </ul>
 
 
</div>

Project Manager

Join Experts Group International and explore 3   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Experts Group International

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Mechanical Engineer

Machine Learning Engineer

Project Manager