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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:
 
 
 
 Launched in 2017, Bosta is an overnight delivery provider for E-commerce companies in Egypt and KSA. Leveraging technology to empower businesses is what we do best. Our goal is to disrupt the logistics industry by bringing technology and experience all 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 :
 
 
 
 The sorting facility supervisor is responsible for supervising daily sorting operations and ensuring all parcels are received, processed and dispatched correctly and on schedule. The role involves coordinating with team leaders and team staff, maintaining workflow efficiency and supporting the sorting facility manager in achieving operational targets.
 
 
 
 Job Code :
 
 
 
 BOX-152
 
 
 
 Job Responsibilities:
 
 
 
 <ul>
 <li>
 Receive inbound dispatches from the central sorting facility and categorize orders by geographic zone or delivery route
 </li>
 <li>
 Develop and communicate efficient daily distribution plans to allocate orders to assigned Drivers
 </li>
 <li>
 Serve as the primary point of contact for Drivers, providing real-time support to resolve operational issues and ensure route completion
 </li>
 <li>
 Manage the end-of-day process, including the receipt and reconciliation of all orders and documentation from Drivers upon route completion
 </li>
 <li>
 Monitor and audit Driver&rsquo;s wallets, ensuring timely settlements and escalating any discrepancies or shortages to the fleet team
 </li>
 <li>
 Train, mentor, and onboard temporary staff and junior coordinators on standard operating procedures and best practices
 </li>
 <li>
 Proactively analyze workflows to identify, recommend, and implement opportunities for process optimization and efficiency gains
 </li>
 <li>
 Manage inventory control by coordinating the return transfer of canceled orders to the sorting facility after exceeding the designated 24-hour holding period at the hub
 </li>
 <li>
 Ensure precise operational handovers by preparing and sending formal communication to the sorting facility team, detailing transferred shipment counts, seal numbers, tracking data, and status
 
 
 
 </li>
 </ul>
 
 Job Qualification:
 
 
 
 <ul>
 <li>
 Minimum of 2 years of experience in logistics or shipping coordination, with a focus on bulky or oversized shipments
 </li>
 <li>
 Proven ability to lead and motivate a team, fostering collaboration and a positive work environment
 </li>
 <li>
 Excellent verbal and written communication skills to effectively interact with team members, and Drivers
 </li>
 <li>
 The ability to resolve issues promptly and effectively
 </li>
 <li>
 Familiarity with shipping management software and tracking systems
 </li>
 <li>
 Ability to adapt to changing circumstances and priorities in a fast-paced work environment
 
 
 
 </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>

Last Mile  Hub Senior Coordinator ( cairo )

<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 altogether 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:
 
 
 
 Job Code:
 
 
 
 2026COMM-001
 
 
 We&rsquo;re looking for great client support specialists to join our growing care team. You have to be very proactive in this role with the ability to solve problems on the spot and think outside the box.
 
 
 
 What you&rsquo;ll be doing:
 
 
 
 <ul>
 <li>
 Maintaining a positive, empathetic, and professional attitude toward clients at all times
 </li>
 <li>
 Assist with challenging client requests or issue escalations as needed
 </li>
 <li>
 Acknowledging and resolving clients' complaints
 </li>
 <li>
 Communicating and coordinating with colleagues as necessary
 </li>
 <li>
 Keeping records of clients interactions, transactions, comments, and complaints
 </li>
 <li>
 Build and maintain strong, long-lasting client relationships
 
 
 
 </li>
 </ul>
 
 Working Conditions
 
 
 
 <ul>
 <li>
 ✅6 months Project Based Contract
 </li>
 <li>
 ✅ Social Insurance, Family Medical Insurance &amp; Life Insurance
 </li>
 <li>
 ✅Career Path (Insource Vacancy): Ability to apply for internal vacancies within 6 to 9 months
 
 
 
 </li>
 </ul>
 
 Who are you?
 
 
 
 <ul>
 <li>
 Experience in a Client Support or similar role
 </li>
 <li>
 Familiarity with our industry is a plus
 </li>
 <li>
 Experience using the help desk and support tools
 </li>
 <li>
 Excellent communication and problem-solving skills
 </li>
 <li>
 Patience when handling tough cases
 </li>
 <li>
 Multi-tasking abilities
 
 
 
 </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>

Customer Care Agent (Emails & Chats) - Project Based

<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

<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 Job:
 
 
 
 As a Last Mile Senior Manager, you will oversee last-mile operations through a team of Area Managers,
 
 
 ensuring smooth, efficient, and customer-focused delivery operations. You will set performance
 
 
 standards, monitor results, and drive improvements across your region while fostering a culture of
 
 
 accountability and excellence.
 
 
 
 Job Code:
 
 
 
 2026CAPI-021
 
 
 
 Job Responsibilities
 
 
 
 <ul>
 <li>
 Lead, manage, and coach a team of Area Managers, ensuring optimal performance across multiple shipping hubs in your assigned region
 </li>
 <li>
 Oversee hub operations indirectly through Area Managers, ensuring adherence to company standards, operational KPIs, and customer satisfaction
 </li>
 <li>
 Develop and implement strategies to enhance efficiency, reduce costs, and improve service levels across last-mile delivery operations
 </li>
 <li>
 Review and analyze performance dashboards and reports from Area Managers to identify trends, risks, and opportunities for improvement
 </li>
 <li>
 Set performance targets and hold Area Managers accountable for meeting service-level agreements (SLA) and operational objectives
 </li>
 <li>
 Partner with cross-functional teams (Customer Support, Commercial, Finance, Tech) to ensure smooth coordination and resolution of hub-related issues
 </li>
 <li>
 Lead continuous improvement initiatives in line with company strategy, including automation, process optimization, and cost efficiency
 </li>
 <li>
 Act as the escalation point for critical operational issues that Area Managers cannot resolve
 </li>
 <li>
 Ensure compliance with company policies, safety regulations, and hub documentation standards across all locations
 </li>
 <li>
 Drive a culture of accountability, customer focus, and operational excellence within the last-mile function
 </li>
 <li>
 Prepare and deliver weekly/monthly reports on performance, challenges, and improvement plans to the Operations Director/Head of Logistics
 
 
 
 </li>
 </ul>
 
 Job Qualifications
 
 
 
 <ul>
 <li>
 10+ years of experience in logistics, last-mile delivery, or e-commerce operations
 </li>
 <li>
 Proven track record in equivalent roles and delivering results in a fast-paced logistics or shipping environment
 </li>
 <li>
 Strong knowledge of last-mile operations, hub management, and delivery SLA optimization
 </li>
 <li>
 Excellent leadership, people management, and coaching skills, with experience managing large, diverse teams
 </li>
 <li>
 Data-driven with strong analytical and reporting skills; able to interpret KPIs and drive continuous improvement
 </li>
 <li>
 Strategic mindset with hands-on problem-solving ability
 </li>
 <li>
 Strong decision-making skills and ability to perform under pressure while meeting deadlines
 </li>
 <li>
 Bachelor&rsquo;s degree in Logistics, Supply Chain, Business Administration, or a related field
 </li>
 <li>
 Proactive, results-oriented, and adaptable leader with a focus on delivering excellence in customer experience
 
 
 
 </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>

Last Mile Senior Manager

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

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