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Lebanon

Lebanon Job Opening

Job Description
At DGJ & Partners we are actively looking for passionate, talented, qualified professionals with expertise in Quantity Surveying, Engineering, Planning, Architecture & Project Management. If you are interested in joining our international team, please apply below.
Requirements

LEB- Junior Accountant

Job Description
  • Post and process journal entries to ensure all business transactions are recorded
  • Update accounts receivable and issue invoices
  • Update accounts payable and performs reconciliations
  • Assist in the processing of balance sheets, income statements, and other financial statements according to legal and company accounting and financial guidelines
  • Assist with reviewing expenses, payroll records, etc. as assigned
  • Update financial data in databases to ensure that information will be accurate and immediately available when needed
  • Prepare and submit weekly/monthly reports
  • Assist senior accountants in the preparation of monthly/yearly closings
  • Assist with other accounting projects


Requirements
  • Bachelor of Science (BS) in Accounting 
  • 1 to 2 years of experience 


LEB-Senior Quantity Surveyor (Architecture)

Job Description
  • Lead the team successfully through difficulties and challenges to meet business objectives.
  • Establish, create, and enforce a climate and culture necessary for the creation of high performing teams.
  • Understand the rules of measurement, the various standard methods of measurement (POMI, SMM7, NRM 2, etc…)
  • Amend the method of measurement document to suit project requirements.
  • Review tender documents (drawings, schedules, specs, etc…)
  • Prepare Bill of Quantities and Preambles based on the selected measurement method.
  • Gather pricing data/ quotation for each BOQ item.
  • Measure building works items.
  • Prepare contract preliminaries and pre-tender estimates.
  • Demonstrate knowledge of principles of scheduling and project control.
  • Demonstrate knowledge for different planning techniques (i.e. GANT, Network diagram, CPM method…)
  • Analyse the identified risks and make appropriate and effective decisions to minimize any impact on the project.
  • Follow-up on the proper documentation and log sheet for emails and submittals.
  • Identify incomplete drawings and poorly defined scope.
  • Advise on the most appropriate contractual procedure at the various stages of a contract.
  • Advise on general contractual provisions such as letters of intent, insurances, retention, bonds, liquidated damages, early possession, practical completion and other common contractual mechanisms.
  • Evaluate the appropriateness and implications of proposed contractual amendments.
  • Demonstrate knowledge of the stages of design from inception to completion.
  • Report on the impact of different design solutions and construction processes on cost and programme.
  • Analyse the accuracy of predicted cost using benchmarking techniques.
  • Prepare cost estimate reports
  • Monitor compliance with the scope of services.
  • Make operational decisions to meet the project completion date.


Requirements
  • Degree in quantity Surveying or Architecture with RICS.
  • Computer literate.
  • Good analytical and interpersonal skills.
  • A minimum of 15 years of experience in a similar environment



Machine Learning Engineer

Job Description
Programming Languages: Python (proficient)
Machine Learning Algorithms: Supervised learning (e.g., regression, decision trees), unsupervised learning (e.g., clustering, PCA), reinforcement learning, ensemble methods (e.g., Random Forest, XGBoost)
Deep Learning: Familiar with frameworks such as TensorFlow, Keras, or PyTorch
Data Processing: Expertise in data wrangling, preprocessing, and feature engineering using libraries like Pandas, NumPy
Model Evaluation and Optimization: Experience with metrics for evaluating models (e.g., precision, recall, F1-score), hyperparameter tuning (e.g., GridSearchCV, RandomSearch)
Deployment: Familiarity with deploying ML models
Version Control: Proficient with Git and collaborative tools
Data Visualization: Strong command of Matplotlib, Seaborn, Plotly for insights presentation


Requirements
Developed and deployed predictive models to support business intelligence and operational efficiency.
Designed and trained models for tasks such as classification, regression, and clustering using Python and its ML libraries.
Implemented data preprocessing pipelines, from data cleaning to feature extraction and selection, ensuring optimal model performance.
Collaborated with data engineers and software developers to integrate machine learning solutions into production systems.
Worked on real-world datasets to build and fine-tune machine learning models.
Used Python libraries (Scikit-learn, Pandas, TensorFlow) to create robust ML pipelines.
Contributed to the automation of the model validation process to enhance predictive capabilities.
Bachelor's/Master’s Degree in Computer Science, Data Science, or related field.



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