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artificial intelligence manager

Abu Dhabi Islamic Bank - Egypt

<div>
 
 
 Primary Purpose
 
 
 
 Owns the strategy, architecture, and delivery of end-to-end AI/ML solutions; ensures compliance with banking regulations and internal policies; mentors juniors; partners with business owners to realize financial impact.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 Strategy &amp; Prioritization
 
 
 <ul>
 <li>
 Participate in build and maintain AI roadmaps aligned to business OKRs and regulatory requirements.
 </li>
 <li>
 Prioritize high-ROI use cases (risk, fraud, AML, CX, revenue uplift, cost reduction).
 </li>
 </ul>
 
 
 
 
 
 Solution Architecture
 
 
 <ul>
 <li>
 Define target data and MLOps architecture (data lake/warehouse, feature store, model registry, CI/CD).
 </li>
 <li>
 Select tooling stack (e.g., Python, SQL, Spark, MLflow, feature store, Docker/Kubernetes, Airflow/Argo, API gateways, math, LLM tools, Gen AI tools, Agentic AI tools , &hellip; ).
 </li>
 </ul>
 
 
 
 
 
 Data &amp; Feature Governance
 
 
 <ul>
 <li>
 Establish data quality SLAs, lineage, cataloging, PII handling, and approval workflows.
 </li>
 <li>
 Define and curate reusable feature store assets with business definitions.
 </li>
 </ul>
 
 
 
 
 
 Model Development &amp; Review
 
 
 <ul>
 <li>
 Lead modeling approach selection; design experiments and validation plans.
 </li>
 <li>
 Enforce controls: bias testing, stability tests, challenger models, reject inference (where appropriate), and backtesting.
 </li>
 <li>
 Ensure explainability (SHAP/feature attributions), documentation, and approval packs for Model Risk Management.
 </li>
 </ul>
 
 
 
 
 
 Deployment &amp; MLOps
 
 
 <ul>
 <li>
 Standardize CI/CD for models, automated tests, reproducibility, canary/blue-green releases, and rollbacks.
 </li>
 <li>
 Define monitoring KPIs: performance, calibration, drift, data quality, and fairness; design alerting and retraining triggers.
 </li>
 </ul>
 
 
 
 
 
 Risk, Compliance, and Security
 
 
 <ul>
 <li>
 Align with regulatory expectations (e.g., model governance, fair lending principles, AML/CTF).
 </li>
 <li>
 Ensure secure data handling: encryption, masking, segregation of duties, access reviews.
 </li>
 </ul>
 
 
 
 
 
 Business Integration &amp; Value Realization
 
 
 <ul>
 <li>
 Translate model outputs into decisions, thresholds, and policies; integrate with decision engines and channels.
 </li>
 <li>
 Track realized impact with finance (uplift, loss reduction, approval rates, NPLs, fraud savings, CX metrics).
 </li>
 </ul>
 
 
 
 
 
 Leadership &amp; Mentorship
 
 
 <ul>
 <li>
 Coach juniors via code reviews, pair programming, and learning plans.
 </li>
 <li>
 Build documentation, templates, and runbooks.
 </li>
 </ul>
 
 
 
 
 
 Stakeholder Management
 
 
 <ul>
 <li>
 Communicate risks, timelines, and outcomes to executives; coordinate with IT, InfoSec, Audit and AI committee.
 </li>
 </ul>
 
 
 
 
 
 Required Skills &amp; Experience
 
 
 <ul>
 <li>
 7+ years in banking AI/ML or fintech; successful production deployments in credit risk/fraud/AML/marketing analytics is preferred.
 </li>
 <li>
 Strong in Python/SQL; experience with Spark; containerization (Docker), CI/CD; orchestration (Airflow/Argo); APIs (REST/GraphQL), LLM / Gen AI tools.
 </li>
 <li>
 Solid grasp of feature engineering for financial data, time-series methods, imbalanced classification, uplift modelling, and behaviour analysis.
 </li>
 <li>
 Cop with all AI new technologies, concepts with converting latest technologies to real life applications.
 </li>
 <li>
 MRM/Responsible AI: bias testing, interpretability, stability, documentation, and audit readiness.
 </li>
 <li>
 On-prem patterns; security and privacy best practices.
 </li>
 <li>
 Communication and leadership across technical and non-technical stakeholders.
 </li>
 </ul>
 
 
</div>

Artificial Intelligence Manager

Bosta

<div>
 
 About Bosta:
 
 
 
 
 Bosta Fulfillment is a simple, end-to-end fulfillment solution that helps e-commerce businesses scale faster with operational excellence. From secure storage and inventory management to picking, packing, and delivery, it manages the full operations journey with seamless tech integration and real-time tracking, ensuring faster shipping, lower costs, and a smooth experience for both merchants and their customers.
 
 
 
 About The Role!
 
 
 The Financial Accountant position involves managing an organization's financial transactions, records, and reporting to ensure accuracy, compliance, and support for business decisions. This role focuses on maintaining ledgers, preparing financial statements, and analyzing variances to optimize financial health. In a dynamic environment like loan portfolio management, it emphasizes tracking payments, reconciliations, and regulatory adherence using tools such as Excel and accounting software.
 
 
 Job Code:
 
 
 
 Job Responsibilities
 
 
 
 <ul>
 <li>
 Monitor daily, weekly, and monthly loan repayment schedules to identify overdue accounts
 </li>
 <li>
 Conduct collection follow-ups through phone calls
 </li>
 <li>
 Negotiate repayment arrangements and provide guidance to clients on settling outstanding balances
 </li>
 <li>
 Maintain updated and accurate records of client contact, promises to pay, and payment outcomes
 </li>
 <li>
 Escalate difficult or high-risk cases and recommend appropriate legal or policy action when necessary
 </li>
 <li>
 Educate clients on financial discipline, repayment obligations, and the impact of late payments
 
 
 
 </li>
 </ul>
 
 Job Qualifications
 
 
 
 <ul>
 <li>
 Diploma or Bachelor&rsquo;s degree in Business Administration, Finance, Accounting, Economics, or a related field
 </li>
 <li>
 Strong communication, negotiation, and interpersonal skills
 </li>
 <li>
 Good understanding of microfinance lending principles and credit assessment
 </li>
 <li>
 Very Good in MS Office (Excel, Word)
 </li>
 <li>
 High level of integrity, professionalism, and customer-service orientation
 </li>
 <li>
 1&ndash;3 years of experience in loan collections, credit control, microfinance, banking, or related roles
 
 
 
 </li>
 </ul>
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
</div>

Financial Accountant (Capital)

<div>
 About Bosta:
 
 
 Launched in 2017, Bosta is an overnight delivery provider for E-commerce companies in Egypt. Leveraging technology to empower businesses is what we do best. Our goal is to disrupt the logistics industry by bringing technology and experience together to provide a one-stop shop for delivery solutions.
 
 
 We rely on advanced technology to deliver orders to our customers in a fast way. Businesses can track and connect with couriers and follow up on their orders - all in one system.
 
 
 
 About the Role:
 
 
 
 Bosta is seeking a talented Revenue Accountant with excellent accounting expertise and strong interpersonal skills who reports to the Revenue Supervisor, responsible for daily general ledger activities. In addition, the role will be focused on supporting the management by providing oversight and control over the completeness and accuracy of the financial results.
 
 
 
 Job Responsibilities:
 
 
 
 <ul>
 <li>
 Process accounts and incoming payments in compliance with financial policies and procedures
 </li>
 <li>
 Perform day-to-day financial transactions, including verifying, classifying, computing, posting, and recording accounts receivable data
 </li>
 <li>
 Prepare bills, invoices, and bank deposits
 </li>
 <li>
 Reconcile the accounts receivable ledger to ensure all payments are accounted for and properly posted
 </li>
 <li>
 Communicate with other departments and reply to the merchants&rsquo; complaints in a good manner while meeting the SLA
 </li>
 <li>
 Ability to work on various systems (Operations, CRM &amp; ERP)
 </li>
 <li>
 Verify discrepancies and resolve clients&rsquo; billing issues
 </li>
 <li>
 Facilitate payment of invoices due by sending bill reminders and contacting clients
 
 
 
 </li>
 </ul>
 
 Job Qualifications:
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in accounting
 </li>
 <li>
 1-2 years of experience in AR accounting
 </li>
 <li>
 Advanced knowledge of Microsoft Office (emphasis on Excel)
 </li>
 <li>
 knowledge of ERP system - Oracle NetSuite (Preferable)
 </li>
 <li>
 Strong ability to analyze financial information
 </li>
 <li>
 Strong communication skills
 </li>
 <li>
 Ability to speak and write English fluently
 
 
 
 </li>
 </ul>
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
</div>

AR Accountant

Inovola

<div>
 
 Job Overview
 
 
 
 We are looking for a talented
 
 AI Engineer
 
 with over three years of experience in Large Language Models (LLMs), Conversational AI, and Generative AI. The ideal candidate will have hands-on experience building intelligent systems with LangChain and LangGraph, with a focus on AI agents, retrieval-augmented generation (RAG), and autonomous reasoning pipelines.
 
 
 You'll collaborate with cross-functional teams to design, implement, and optimize AI-driven solutions that enhance business processes and user experiences.
 
 
 
 Roles &amp; Responsibilities
 
 
 
 <ul>
 <li>
 Design, fine-tune, and deploy LLMs for production-ready applications.
 </li>
 <li>
 Build AI agents and multi-agent systems using LangChain, LangGraph, and related frameworks.
 </li>
 <li>
 Develop and integrate Conversational AI pipelines that deliver seamless, human-like interactions.
 </li>
 <li>
 Implement Retrieval-Augmented Generation (RAG) architectures leveraging vector databases and document retrievers.
 </li>
 <li>
 Collaborate with data engineers and product teams to design scalable, reliable, and efficient AI pipelines.
 </li>
 <li>
 Develop and maintain APIs and backend services using FastAPI and modern software engineering practices.
 </li>
 <li>
 Collaborate with data engineers and product teams to design scalable, reliable, and efficient AI pipelines.
 </li>
 <li>
 Optimize model inference, latency, and scalability in cloud and containerized environments
 </li>
 <li>
 Optimize model inference, latency, and scalability in cloud and containerized environments.
 </li>
 <li>
 Stay current with advancements in LLMs, Agentic AI, and Generative AI ecosystems.
 
 
 </li>
 </ul>
 
 Required Skills
 
 
 
 <ul>
 <li>
 Strong proficiency in Python and experience with LangChain and LangGraph for AI agent orchestration.
 </li>
 <li>
 Experience integrating LLMs via APIs such as OpenAI, Anthropic, or Google Vertex AI.
 </li>
 <li>
 Solid understanding of prompt engineering, RAG pipelines, and tool-using AI agents.
 </li>
 <li>
 Proficiency with PyTorch, Transformers (Hugging Face), and vector databases (e.g., Qdarnt, FAISS, Chroma).
 </li>
 <li>
 Experience designing multi-agent systems or workflow-based AI agents using LangGraph or similar frameworks.
 </li>
 <li>
 Knowledge of LLM evaluation, prompt optimization, and context management strategies.
 </li>
 <li>
 Familiarity with cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes).
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Familiarity with MLOps and continuous integration/deployment pipelines for AI systems.
 </li>
 <li>
 Understanding of generative AI models for text, image, or multimodal outputs.
 </li>
 <li>
 Familiar with traditional ML and computer vision.
 </li>
 <li>
 Strong problem-solving, collaboration, and communication skills.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
 </li>
 <li>
 3+ years of hands-on experience in AI/ML model development and deployment.
 </li>
 </ul>
</div>

Mid/Senior AI Developer

Celfocus

<div>
 
 Make an impact
 
 by working for sectors where technology is the enabler, everything is ground-breaking and there&rsquo;s a constant need to be innovative.
 
 
 
 Create and enhance projects
 
 in Java, Python, Angular, PHP, .NET and so much more while diving in the world of Blockchain, Artificial Intelligence, Data Science, Security and Internet of Things.
 
 
 
 Be part of the team
 
 that combines business knowledge, technological edge and a design experience. Our different backgrounds and know-how are key in developing solutions and experiences for digital clients.
 
 
 
 Face challenges
 
 and learn other ways of thinking and seeing the world - there&rsquo;s always room for your energy and creativity.
 
 
 
 About The Role
 
 
 
 As a Senior Data Scientist, you will be responsible for leading the design of solutions and managing the teams developing them within a project. You will also be responsible for selecting a team with the appropriate skillset or alternatively ensuring that the team acquires the required capabilities in due time. You must also ensure proper solution delivery, monitoring, and governance using MLOps.
 
 
 
 As a part of your job, you will:
 
 
 
 <ul>
 <li>
 Leverage data and domain knowledge to solve business problems and create quantifiable value.
 </li>
 <li>
 Work cross-functionally to define problem statements, collect data, build analytical models, and design suitable solutions.
 </li>
 <li>
 Build and maintain (or lead the development of) data-driven optimization models, experiments, forecasting algorithms, and capacity constraint models.
 </li>
 <li>
 Lead teams into delivering models using best MLOps practices.
 </li>
 <li>
 Communicate final recommendations and support decision-making.
 
 
 
 </li>
 </ul>
 
 What are we looking for?
 
 
 
 <ul>
 <li>
 Degree in an analytical field (e.g., Computer Science, Engineering, Mathematics, Statistics, Operations Research, Management Science);
 </li>
 <li>
 Scripting with Python and nice to have one of these languages (e.g., Pyspark, Spark-mllib);
 </li>
 <li>
 Experienced with packages such as NumPy, SciPy, Pandas, Scikit-learn, matplotlib, and tensorflow/pytorch;
 </li>
 <li>
 4-5 Years of project experience as a Data Scientist;
 </li>
 <li>
 Professional experience with Java, Scala, or Spark;
 </li>
 <li>
 Experience working with and leading teams in a project environment;
 </li>
 <li>
 Experience in delivering projects using MLOps best practices.
 
 
 
 </li>
 </ul>
 
 Nice to have:
 
 
 
 <ul>
 <li>
 1+ years of SQL experience;
 </li>
 <li>
 Experience in distribution-based architectures such as Cloudera, AWS, Microsoft Azure Cloud, and GCP (Google Cloud Platform), among others;
 </li>
 <li>
 Knowledge of Data Governance.
 
 
 
 </li>
 </ul>
 
 Personal traits
 
 
 
 <ul>
 <li>
 Ability to adapt to different contexts, teams and Clients;
 </li>
 <li>
 Teamwork skills but also a sense of autonomy;
 </li>
 <li>
 Motivation for international projects and ok if travel is included;
 </li>
 <li>
 Willingness to collaborate with other players;
 </li>
 <li>
 Strong communication skills.
 
 
 
 </li>
 </ul>
 At Celfocus, we are committed to cultivate a diverse and inclusive workplace. As an equal-opportunity employer, we welcome applicants of all backgrounds, gender identities, and abilities. We are dedicated to providing reasonable accommodations for candidates with specific needs. If you require any adjustments during the selection process, please inform our Talent Acquisition Team.
 
 
 
 Come join the Team!
 
 
 
 
 Celfocus is pioneering the future of business through Next-Gen Intelligence - the convergence of data, AI, and human creativity to build more autonomous and adaptive organisations.
 
 
 
 Guided by our core belief - Making Data Actionable - we partner with leading companies to co-create intelligent solutions that turn data into insight, agility, and business value.
 
 
 Operating in over 25 countries, we bring together business experts, data scientists, and AI engineers to turn complexity into clarity and vision into measurable impact.
 
 
 Founded in 2000, Celfocus is part of Novabase, listed on Euronext Lisbon.
 
 
 To know more, visit www.celfocus.com
</div>

Senior Data Scientist

<div>
 
 
 Company Overview:
 
 
 
 Dar, the founding member of the Sidara group, is an international multidisciplinary consulting organization specializing in engineering, architecture, planning, environment, project management, facilities management, and economics. Sidara operates in 60 countries with 20,500 professionals, Dar connects people, places, and communities through innovative solutions to the world's most complex challenges. We deliver projects from inception through completion, embracing challenges to empower communities worldwide. Learn more at www.dar.com.
 
 
 
 
 
 
 Our Vision and Values:
 
 
 
 We aspire to be the chosen home of those with a gift for crafting solutions that empower people and an unwavering passion for learning and innovation. Our core values shape our culture and guide our decision-making. We are committed to:
 
 <ul>
 <li>
 Excellence
 </li>
 <li>
 Responsibility
 </li>
 <li>
 Empowerment
 </li>
 <li>
 Connectivity
 </li>
 <li>
 Courage
 </li>
 </ul>
 
 
 
 
 One of our newest ventures is Para &ndash; an all-in-one digital twin solution that leverages artificial intelligence, state-of-the-art IoT and smart devices, 3D visualisation platforms, and extensive data analytics to empower clients to generate more value out of their assets. Para is a fast-growing and ambitious start-up, built on the exceptional experience and technical expertise of its parent company Dar in delivering over 4,500 building and infrastructure projects.
 
 
 
 
 
 
 About the Role
 
 
 
 You will be a member of Dar&rsquo;s Project Team, where you will play a key role in managing the implementation of digital platforms in buildings and infrastructure projects. As a Project Delivery Manager, you will be a true domain expert, responsible for working with clients to identify use cases and create unique value propositions, mapping out data and technical requirements to deliver to-spec solutions.
 
 
 
 
 
 The ideal candidate has well-rounded experience in managing the deployment of building solutions, including technical and functional knowledge in testing and commissioning of instrumentation and control systems as well as working knowledge of IoT platforms, data analytics, and cloud solutions. Knowledge of Edge Computing and Digital Twins would be of significant benefit in this role. The role offers exposure to all elements of technical delivery within a flexible and supportive environment, with generous company benefits, and ample growth and learning opportunities.
 
 
 
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Identify the use cases and value propositions in close coordination with Clients and other Stakeholders
 </li>
 <li>
 Manage the relationship with the Client representatives
 </li>
 <li>
 Check and Analyze the different IT and OT data sources
 </li>
 <li>
 Understand the workflows and systems inside the different buildings
 </li>
 <li>
 Adapt the platform modules / dashboards to the project, in terms of UI and analytics, in collaboration with the Product Managers
 </li>
 <li>
 Devise project specific algorithms for optimization / prescriptive controls
 </li>
 <li>
 Devise project specific algorithms and methods for automated fault detection and diagnostics
 </li>
 <li>
 Identify the data required to be integrated based on the use cases
 </li>
 <li>
 Use the Admin Panel to deploy the solution and to configure rules, conditions and visuals
 </li>
 <li>
 Identify the data to be processed and analyzed based on the use cases
 </li>
 <li>
 Coordinate and follow up with the tech team for the implementation of the platform (including data acquisition, data validation, data analytics and data visualization)
 </li>
 </ul>
 
 
 
 
 
 Experience
 
 
 <ul>
 <li>
 Bachelor's degree in Mechatronics Engineering, Instrumentation and Controls, Electronics and Communications Engineering, Mechanical Engineering or Data Science / Analytics from a reputed university, with at least 10 years of professional experience
 </li>
 <li>
 Hands-on Experience in managing the deployment of building solutions / platforms is required, including defining technical and functional requirements and working with the development team
 </li>
 <li>
 Hands-on Experience in the design, implementation or testing/commissioning of Instrumentation &amp; Control Systems including integrations with 3rd party systems is required
 </li>
 <li>
 Knowledge of IoT platforms, IoT gateways, data acquisition, data analytics and cloud solutions is required
 </li>
 <li>
 Knowledge of Edge Computing and Digital Twins is preferable
 </li>
 <li>
 Experience in coding (Python, React, Javascript, etc.) and in designing and developing Graphical User Interfaces (GUI&rsquo;s) / dashboards is a plus
 </li>
 <li>
 Holding certifications from relevant organizations/training institutes is also desirable
 </li>
 </ul>
</div>

Project Delivery Manager - SMART Building

<div>
 
 
 Company Overview:
 
 
 
 
 
 
 Dar, the founding member of the Sidara group, is an international multidisciplinary consulting organization specializing in engineering, architecture, planning, environment, project management, facilities management, and economics. Sidara operates in 60 countries with 20,500 professionals, Dar connects people, places, and communities through innovative solutions to the world's most complex challenges. We deliver projects from inception through completion, embracing challenges to empower communities worldwide. Learn more at
 
 www.dar.com
 
 .
 
 
 
 
 
 
 Our Vision and Values:
 
 
 
 
 
 
 We aspire to be the chosen home of those with a gift for crafting solutions that empower people and an unwavering passion for learning and innovation. Our core values shape our culture and guide our decision-making. We are committed to:
 
 
 
 
 <ul>
 <li>
 Excellence
 </li>
 <li>
 Responsibility
 </li>
 <li>
 Empowerment
 </li>
 <li>
 Connectivity
 </li>
 <li>
 Courage
 </li>
 </ul>
 
 
 
 
 
 Job Purpose:
 
 
 
 
 
 
 The role of the AI Engineer at Dar will be to design, develop, and deploy artificial intelligence models and systems that automate workflows of design engineers through data-driven insights, and enhance design and project delivery efficiency. They leverage machine learning and data analytics to improve decision-making and productivity across projects life.
 
 
 
 Responsibilities:
 
 
 
 
 
 <ul>
 <li>
 Develop, evaluate, and deploy RAG pipelines for the AEC industry
 </li>
 <li>
 Develop, evaluate and deploy agentic AI solutions to automate AEC workflows
 </li>
 <li>
 Develop, train, and optimize machine learning and deep learning models for AEC applications.
 </li>
 <li>
 Collect, preprocess, and analyze large BIM data from design, construction, and operational sources.
 </li>
 <li>
 Monitor and refine deployed AI systems for performance, accuracy, and scalability.
 </li>
 <li>
 Research and evaluate emerging AI technologies relevant to architecture, engineering, and construction.
 </li>
 <li>
 Collaborate effectively with data scientists, AI and Automation engineers, computational designers, and design engineers to integrate advanced digital solutions into the broader system architecture and the enterprise internal workflows
 </li>
 <li>
 Stay current with AI trends and suggest improvements to existing systems and workflows
 </li>
 <li>
 Support project planning, documentation, and presentations.
 </li>
 <li>
 Contribute to mentoring and knowledge sharing within the team.
 </li>
 </ul>
 
 
 
 
 
 Requirements:
 
 
 
 
 
 <ul>
 <li>
 Degree in Computer Science, Engineering, or related field
 </li>
 <li>
 0-3 years professional experience with at least 3 of the following sectors: RAG, machine learning, deep learning, LLMs, NLP, reinforcement learning, and computer vision
 </li>
 <li>
 Proficiency in Python, C#/C/C++, SQL
 </li>
 <li>
 Experience building RAG pipelines, agentic RAG pipeline and/or agentic workflows
 </li>
 <li>
 Strong knowledge of AI frameworks such as TensorFlow or PyTorch, and ML libraries as scikit-learn and SciPy
 </li>
 <li>
 Experience working in relational and non-relational databases
 </li>
 <li>
 Experience building predictive analytics business solutions
 </li>
 <li>
 Excellent problem-solving skills and ability to work in a team environment
 </li>
 <li>
 Familiarity with AEC tools (Revit, Rhino, AutoCAD, Navisworks) is a plus.t
 </li>
 </ul>
 
 
 
 
 
 
 Kind Note
 
 :
 
 
 
 
 
 
 
 * While we carefully review all applications, only candidates meeting the specified requirements will be contacted for further consideration. We appreciate your understanding and thank all applicants for their interest.
 
 
 
 
</div>

AI Engineer

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