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senior full stack developer, ai4all Jobs in Cairo

senior full stack developer, ai4all

account lead - consumer(egypt) Jobs in Cairo

account lead - consumer(egypt)

ai team lead

York Towers

<div>
 Dwelleo is a Saudi AI-powered PropTech platform redefining how real estate decisions are made. From buying and renting to selling and investing, we combine verified data, intelligent insights, and complete transparency &mdash; empowering users to understand the market clearly and make confident decisions at every step.
 
 
 About Dwelleo
 
 
 
 Dwelleo is an AI-powered real estate marketplace transforming how people search, buy, sell, and rent properties across Saudi Arabia.
 
 
 The platform combines machine learning, intelligent discovery tools, and data-driven insights to connect buyers, renters, brokers, and developers through a seamless, scalable digital experience.
 
 
 At its core, Dwelleo embeds AI directly into the product &mdash; powering pricing, recommendations, search, and decision-making across the entire property journey.
 
 
 
 
 
 
 
 
 
 About The Role
 
 
 
 As AI Lead, you will own both our
 
 ML and LLM workstreams
 
 : defining the technical architecture, governing production systems, and leading the team that ships them. This is a hands-on leadership position &mdash; you are expected to be close to the technical decisions, not just the roadmap.
 
 
 
 The immediate scope spans two areas:
 
 maturing our ML platform (pricing, forecasting, drift monitoring) and scaling our agentic AI systems into robust, production-grade infrastructure.
 
 
 You will lead a team of 3&ndash;7 engineers, staying hands-on technically while owning delivery, standards, and team growth.
 
 
 
 
 
 
 
 
 
 What You'll Do
 
 
 <ul>
 <li>
 
 Own the full ML lifecycle
 
 &nbsp;&mdash; feature engineering, training, evaluation, deployment, and drift monitoring for pricing, rent, and ROI prediction models
 </li>
 <li>
 
 Define the experimentation framework
 
 &nbsp;&mdash; data contracts, labelling strategies, A/B testing pipelines, guardrail metrics, and rollback procedures
 </li>
 <li>
 
 Architect production agentic systems
 
 &nbsp;&mdash; design LLM-based multi-agent workflows with deterministic state machines, guardrail layers, and escalation logic
 </li>
 <li>
 
 Lead infrastructure and platform decisions
 
 &nbsp;&mdash; FastAPI microservices on AWS ECS, model serving, CI/CD (GitHub Actions + MLflow), and end-to-end observability
 </li>
 <li>
 
 Drive research and evaluation
 
 &nbsp;&mdash; assess new approaches across supervised learning, NLP, and agentic AI; decide what gets built, what gets dropped, and why
 </li>
 <li>
 
 Lead a team of 3&ndash;7 engineers
 
 &nbsp;&mdash; set engineering standards, conduct code and design reviews, mentor team members, and participate in hiring as the technical voice
 
 
 </li>
 </ul>
 
 
 
 
 
 
 
 
 What We're Looking For
 
 
 
 
 
 
 
 Required
 
 
 <ul>
 <li>
 
 6+ years
 
 &nbsp;of ML engineering experience, with at least 3 years in a technical lead or senior individual contributor role
 </li>
 <li>
 Production-scale ML: supervised learning, gradient boosting (XGBoost / LightGBM), regression, feature engineering, and model evaluation
 </li>
 <li>
 Solid MLOps practice: experiment tracking, model registry, canary deployments, drift detection, and incident response
 </li>
 <li>
 
 2+ years
 
 &nbsp;working with LLM orchestration, RAG architectures, or multi-agent system design
 </li>
 <li>
 Demonstrated experience leading a team of engineers &mdash; including hiring, mentoring, setting technical direction, and translating AI capabilities into product outcomes
 
 
 </li>
 </ul>
 
 
 
 
 
 Nice to Have
 
 
 <ul>
 <li>
 Experience building and deploying FastAPI-based ML services on AWS (ECS, S3, RDS)
 </li>
 <li>
 Experience with speech pipelines (STT / TTS) or multilingual NLP &mdash; Arabic dialect knowledge is a strong plus
 </li>
 <li>
 Familiarity with geospatial data or similarity search (FAISS, pgvector, Ball Tree)
 </li>
 <li>
 Background in lead scoring, recommendation systems, or content moderation
 </li>
 <li>
 Real estate, PropTech, or marketplace experience
 
 
 </li>
 </ul>
 
 
 
 
 
 What We Offer
 
 
 <ul>
 <li>
 
 Fully remote
 
 </li>
 <li>
 High ownership over both AI architecture and team direction
 </li>
 <li>
 Direct exposure to a complex, multilingual, geospatial AI problem space operating at real market scale
 
 
 </li>
 </ul>
 
 
 
 
 
 
</div>

AI Team Lead

Finaira

<div>
 
 The Principal AI Engineer provides technical leadership and direction for a team of AI Engineers, overseeing the end-to-end development and deployment of significant AI initiatives. This role involves driving technical strategy, setting best practices, mentoring team members, and ensuring the delivery of high-quality, impactful AI solutions that align with business objectives. Focus: End-to-End Initiative Leadership, AI/ML Strategy &amp; Mentorship.
 
 
 
 
 
 The difference you will make
 
 <ul>
 <li>
 Provide technical leadership, guidance, and mentorship to a team of AI Engineers.
 </li>
 <li>
 Architect, design, and oversee the implementation of complex AI/ML systems and platforms from conception to production.
 </li>
 <li>
 Drive the technical roadmap for AI projects, translating business requirements into technical specifications and actionable plans.
 </li>
 <li>
 Champion best practices in AI/ML engineering, MLOps, software development, code quality, and testing.
 </li>
 <li>
 Lead technical discussions, architectural reviews, and problem-solving sessions within the team and across departments.
 </li>
 <li>
 Collaborate closely with product management, data science, and other engineering teams to define project scope, technical feasibility, and resource allocation.
 </li>
 <li>
 Identify and evaluate new technologies, tools, and methodologies to enhance the team's capabilities and efficiency.
 </li>
 <li>
 Conduct performance evaluations and provide constructive feedback to team members, contributing to their professional growth.
 </li>
 <li>
 Act as a primary technical point of contact for stakeholders regarding AI solutions.
 </li>
 <li>
 Hands-on contribution to critical code components, architectural design, and complex problem-solving.
 </li>
 </ul>
 
 
 
 
 What you will bring to the role
 
 
 Education: Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field. Master's degree or Ph.D. highly preferred.
 
 
 
 
 
 Experience: 8+ years of extensive experience in AI/ML engineering, with at least 2-3 years in a technical leadership or lead engineer role, successfully leading significant AI projects from end-to-end.
 
 
 
 
 
 Technical Skills:
 
 <ul>
 <li>
 Expert proficiency in Python and deep expertise in multiple AI/ML frameworks (e.g., TensorFlow, PyTorch, Keras).
 </li>
 <li>
 Demonstrated experience in designing and implementing large-scale, production-grade AI systems, including distributed training and serving.
 </li>
 <li>
 In-depth knowledge and practical experience with MLOps principles, tools, and platforms (e.g., Kubeflow, MLflow, Airflow, Docker, Kubernetes).
 </li>
 <li>
 Strong architectural skills for building robust, scalable, and maintainable AI infrastructures. o Proficiency in cloud environments (AWS, Azure, GCP) and their AI/ML services.
 </li>
 <li>
 Excellent understanding of data engineering principles, data governance, and database technologies.
 </li>
 <li>
 Ability to evaluate and make sound technical decisions on complex trade-offs.
 </li>
 </ul>
 
 
 
 
 Soft Skills:
 
 <ul>
 <li>
 Strong ownership and accountability for assigned work.
 </li>
 <li>
 Clear and professional verbal and written communication.
 </li>
 <li>
 Effective time management and task prioritization.
 </li>
 <li>
 Analytical thinking and problem-solving skills.
 </li>
 <li>
 Ability to work independently, collaborate effectively and mentor junior team members.
 </li>
 <li>
 Ability to actively listen to customers and accurately understand their needs, expectations, and challenges.
 </li>
 <li>
 Adaptability and learning agility in a fast-paced environment.
 </li>
 <li>
 Strong attention to detail and a commitment to quality.
 </li>
 <li>
 Receptiveness to feedback and continuous improvement mindset.
 </li>
 </ul>
</div>

Principal AI Engineer

<div>
 
 
 Job Summary
 
 
 
 
 
 
 The AI Transformation Manager is responsible for leading the organization&rsquo;s transition into an AI-first enterprise. This role involves identifying high-value AI use cases, managing the implementation of agentic workflows and LLM-based systems, and driving the cultural change necessary for employees to work alongside AI. You will not only manage technology but also lead the "Workforce Transformation," ensuring that AI investments result in measurable ROI and enhanced human potential.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 1. Strategic Planning &amp; Roadmap Development
 
 
 <ul>
 <li>
 Develop and maintain the Enterprise AI Roadmap, prioritizing use cases based on feasibility, cost, and business impact.
 </li>
 <li>
 Define KPIs for AI success (e.g., time-to-market reduction, cost-per-task optimization, or revenue uplift).
 </li>
 <li>
 Partner with senior leadership to align AI initiatives with the company&rsquo;s 3&ndash;5 year growth goals.
 </li>
 </ul>
 
 
 2. AI Implementation &amp; Orchestration
 
 
 <ul>
 <li>
 Lead the deployment of
 
 Agentic AI
 
 (autonomous agents) and
 
 RAG-based
 
 (Retrieval-Augmented Generation) knowledge systems across departments like HR, Finance, and Customer Operations.
 </li>
 <li>
 Oversee the "Build vs. Buy" evaluation for AI tools, ensuring interoperability with existing tech stacks (e.g., Azure AI, Microsoft 365 Copilot, or proprietary LLMs).
 </li>
 <li>
 Manage cross-functional "Pods" consisting of data scientists, engineers, and domain experts to deliver pilot projects within 60&ndash;90 day cycles.
 </li>
 </ul>
 
 
 3. AI Governance &amp; Ethics
 
 
 <ul>
 <li>
 Establish frameworks for
 
 Responsible AI
 
 , ensuring transparency, bias mitigation, and data privacy (GDPR/CCPA/AI Act compliance).
 </li>
 <li>
 Monitor AI performance for "model drift" and accuracy, ensuring the system remains reliable and defensible.
 </li>
 </ul>
 
 
 4. Change Management &amp; Enablement
 
 
 <ul>
 <li>
 Design and lead "AI Literacy" programs to upskill the workforce, moving beyond basic prompting to advanced AI-human collaboration.
 </li>
 <li>
 Manage organizational resistance by communicating a clear value narrative and identifying "AI Champions" within business units.
 </li>
 <li>
 Redesign workflows to capitalize on AI-human "Centaur" models, where AI handles routine processing and humans focus on high-stakes strategy and empathy.
 </li>
 </ul>
 
 
 
 
 
 Job Requirements
 
 
 
 
 
 
 
 Technical Skills &amp; Experience
 
 
 
 
 
 <ul>
 <li>
 
 Education:
 
 Bachelor&rsquo;s degree in Business, Computer Science, or Data Science. An MBA or post-graduate degree in Digital Transformation is highly preferred.
 </li>
 <li>
 
 Experience:
 
 6+ years of experience in Digital Transformation, Product Management, or Management Consulting, with at least 2&ndash;3 years focused specifically on AI/ML projects.
 </li>
 <li>
 
 AI Fluency:
 
 Deep understanding of Generative AI capabilities, LLM lifecycles, and
 
 Agentic Workflows
 
 . You don't need to be a coder, but you must be able to "speak engineer."
 </li>
 <li>
 
 Data Literacy:
 
 Proficiency in data strategy&mdash;understanding data pipelines, quality, and how "grounding" affects AI accuracy.
 </li>
 </ul>
 
 
 
 
 
 Tools &amp; Certifications (Preferred)
 
 
 
 
 
 <ul>
 <li>
 
 Certifications:
 
 Microsoft Certified: AI Transformation Leader, PMP, or similar.
 </li>
 <li>
 
 Tooling Knowledge:
 
 Familiarity with AI orchestration platforms (LangChain, Zapier Central), MLOps basics, and BI tools (Tableau, PowerBI).
 </li>
 </ul>
 
 
</div>

AI Transformation Manager

Magnet

<div>
 
 
 Employer Overview
 
 
 
 A technology company founded in 2012 that provides IT consulting services and custom software development through a team of experienced IT professionals. The company delivers innovative digital solutions, including web and application development, enterprise systems, and managed hosting services for clients globally.
 
 
 Its advanced AI-powered platform includes a modern face recognition system built using artificial intelligence and machine learning technologies. The architecture is designed using distributed microservices to ensure high scalability, redundancy, and real-time monitoring capabilities.
 
 
 
 
 
 
 Job Summary
 
 
 
 This role combines Technical Product Management with Hands-on Software Architecture leadership.
 
 
 You will act as the bridge between business vision and technical execution, owning system architecture decisions while ensuring timely and high-quality delivery of complex, AI-driven, cloud-native products.
 
 
 You will lead technical planning, architecture design, sprint execution, and delivery for scalable systems built on .NET, Python, AI (Computer Vision &amp; LLMs), and modern microservice architectures, deployed using Docker Swarm and Kubernetes.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 Product &amp; Sprint Leadership
 
 
 <ul>
 <li>
 Partner with Product Managers to translate product vision into executable technical roadmaps.
 </li>
 <li>
 Own sprint planning, backlog grooming, and technical task breakdown across teams.
 </li>
 <li>
 Ensure sprint goals are realistic, technically sound, and aligned with delivery timelines.
 </li>
 <li>
 Balance feature delivery, technical debt, scalability, and long-term architecture health.
 </li>
 </ul>
 
 
 
 
 
 Software Architecture &amp; System Design
 
 
 <ul>
 <li>
 Design and govern
 
 microservice-based architectures
 
 using:
 </li>
 <li>
 
 .NET (Web APIs, WPF desktop apps)
 
 </li>
 <li>
 
 Python (AI pipelines, CV &amp; LLM services)
 
 </li>
 <li>
 
 gRPC, REST APIs
 
 </li>
 <li>
 
 RabbitMQ &amp; MQTT for event-driven systems
 
 </li>
 <li>
 Apply
 
 DDD (Domain-Driven Design)
 
 principles for scalable and maintainable systems.
 </li>
 <li>
 Define service boundaries, data ownership, communication patterns, and fault tolerance strategies.
 </li>
 <li>
 Ensure systems are designed for
 
 scalability, observability, resilience, and performance
 
 .
 </li>
 </ul>
 
 
 
 
 
 Cloud, Containers &amp; Orchestration
 
 
 <ul>
 <li>
 Lead architecture decisions for
 
 Docker Swarm and Kubernetes (K8s)
 
 environments.
 </li>
 <li>
 Define deployment strategies, service orchestration, scaling policies, and CI/CD integration.
 </li>
 <li>
 Collaborate with DevOps to ensure secure, stable, and cost-efficient environments.
 </li>
 <li>
 Troubleshoot production issues related to containers, networking, messaging, and orchestration.
 </li>
 </ul>
 
 
 
 
 
 AI, Computer Vision &amp; LLM Enablement
 
 
 <ul>
 <li>
 Guide integration of
 
 AI Computer Vision models and LLM-based services
 
 into production systems.
 </li>
 <li>
 Oversee AI service architecture, inference pipelines, data flow, and performance optimization.
 </li>
 <li>
 Collaborate with AI engineers to ensure models are production-ready and scalable.
 </li>
 <li>
 Stay current with AI trends and recommend practical, business-aligned innovations.
 </li>
 </ul>
 
 
 
 
 
 Frontend &amp; Client Applications
 
 
 <ul>
 <li>
 Oversee architecture and integration of:
 </li>
 <li>
 
 Flutter mobile applications
 
 </li>
 <li>
 
 React &amp; Angular web frontends
 
 </li>
 <li>
 
 WPF desktop applications
 
 </li>
 <li>
 Ensure clean API contracts, performance optimization, and smooth frontend-backend integration.
 </li>
 </ul>
 
 
 
 
 
 Technical Delivery &amp; Quality
 
 
 <ul>
 <li>
 Own end-to-end technical delivery from design to production.
 </li>
 <li>
 Define technical acceptance criteria and ensure compliance before release.
 </li>
 <li>
 Work closely with QA to enforce quality, performance, and security standards.
 </li>
 <li>
 Proactively identify risks, bottlenecks, and architectural weaknesses.
 </li>
 </ul>
 
 
 
 
 
 Technical Proposals &amp; Client Engagement
 
 
 <ul>
 <li>
 Lead creation of
 
 technical proposals
 
 , architecture diagrams, and solution designs.
 </li>
 <li>
 Support sales and business teams with technical input during presales.
 </li>
 <li>
 Present solutions confidently to clients in
 
 clear, professional English
 
 .
 </li>
 <li>
 Deliver demos and technical walkthroughs for complex AI and software platforms.
 </li>
 </ul>
 
 
 
 
 
 Stakeholder Communication &amp; Leadership
 
 
 <ul>
 <li>
 Act as the primary technical voice to non-technical stakeholders.
 </li>
 <li>
 Communicate complex technical concepts in simple, business-friendly language.
 </li>
 <li>
 Provide regular updates on delivery progress, architecture decisions, and risks.
 </li>
 <li>
 Mentor senior engineers and tech leads on architecture and best practices.
 </li>
 </ul>
 
 
 
 
 
 Continuous Improvement &amp; Engineering Excellence
 
 
 <ul>
 <li>
 Drive improvements in development processes, tooling, and architecture standards.
 </li>
 <li>
 Promote clean code, SOLID principles, observability, and reliability engineering.
 </li>
 <li>
 Encourage innovation, experimentation, and continuous learning across teams.
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Software Engineering, Information Technology, or a related field.
 </li>
 <li>
 Strong experience designing scalable distributed systems.
 </li>
 <li>
 Strong stakeholder management
 </li>
 <li>
 Cross-team coordination
 </li>
 <li>
 Ability to balance business priorities with technical excellence
 </li>
 <li>
 NET (ASP.NET Core, Web APIs, WPF)
 </li>
 <li>
 Python (AI services, data pipelines)
 </li>
 <li>
 Microservices Architecture &amp; Domain Driven Design (DDD)
 </li>
 <li>
 Docker Swarm &amp; Kubernetes (K8s)
 </li>
 <li>
 gRPC and REST APIs
 </li>
 <li>
 RabbitMQ &amp; MQTT
 </li>
 <li>
 AI Computer Vision and LLM integration
 </li>
 <li>
 Flutter, React, Angular
 </li>
 <li>
 Excellent English speaking and presentation skills.
 </li>
 <li>
 Ability to design scalable distributed systems.
 </li>
 <li>
 Ability to troubleshoot complex issues across application and infrastructure layers.
 </li>
 <li>
 Ability to ensure high availability and scalable system performance.
 </li>
 <li>
 Ability to coordinate with technical teams and business stakeholders.
 </li>
 </ul>
</div>

Technical Product Manager

TATWEER MIDDLE EAST AND AFRICA L.L.C

<div>
 
 
 Job Title:
 
 Director - Digital Transformation Services (DTS) Sector
 
 
 
 Location:
 
 Cairo, Egypt (Onsite)
 
 
 
 Experience:
 
 18+ years
 
 
 
 
 
 
 Role Purpose
 
 
 
 Director of Digital Transformation Services (DTS) responsible for strategic growth, delivery and operational excellence of DTS sector. This role involves orchestrating holistic digital transformation for clients by integrating capabilities across DTS pillars Digital Experience, Digital Delivery, Digital Operations, and Data Analytics while effectively leveraging AI and data intelligence. The ideal candidate is required to translate business vision into market-leading services, building teams to deliver excellence and deliver measurable impact.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 Delivery Excellence &amp; Technical Assurance
 
 
 <ul>
 <li>
 Provide overall leadership and oversight of projects delivery to ensure timely, accurate, compliant, and high-quality outputs across all disciplines.
 </li>
 <li>
 Ensure projects are delivered in accordance with approved scope, schedule, budget, safety, and quality standards, fully meeting contractual obligations and client expectations.
 </li>
 <li>
 Establish, implement, and continuously enhance delivery frameworks, operating policies, and delivery playbooks across departments.
 </li>
 <li>
 Define and enforce technical assurance and quality control processes, including peer reviews, stage-gate approvals, independent checks, audits, and design/delivery assurance.
 </li>
 <li>
 Strengthen programme and portfolio governance, including schedule management, cost control, risk management, change management, and project controls for large and complex portfolios.
 </li>
 <li>
 Ensure timely and accurate submission of all technical deliverables, reports, designs, and contractual documents.
 </li>
 <li>
 Monitor delivery performance through defined KPIs, addressing performance gaps and delivery risks proactively.
 </li>
 <li>
 Institutionalize lessons learned, knowledge management, and technical communities of practice to drive continuous improvement and repeatable delivery excellence.
 </li>
 </ul>
 
 
 AI Transformation &amp; Digital Engineering Excellence
 
 
 <ul>
 <li>
 Define and drive the strategic roadmap for software engineering practices, embedding modern methodologies and AI-powered toolchains.
 </li>
 <li>
 Develop and implement policies mandating the use of latest AI tools, including agentic AI to enhance productivity, code quality and delivery speed.
 </li>
 <li>
 Drive continuous upskilling of engineering teams, fostering proficiency in leveraging AI tools for competitive advantage.
 </li>
 <li>
 Evaluate emerging AI engineering technologies, piloting and scaling those demonstrating tangible business value.
 </li>
 <li>
 Collaborate with the Centre of Excellence (CoE) to integrate AI research into mainstream software delivery practices.
 </li>
 </ul>
 
 
 Service Diversification and Product Development (Aligned with Core Domain)
 
 
 <ul>
 <li>
 Expand business offerings within core domain by developing new advisory and delivery services in response to market demand and client priorities.
 </li>
 <li>
 Establish and lead service development roadmaps, including scope definitions, delivery models, capability requirements, quality standards, and go-to-market readiness.
 </li>
 </ul>
 
 
 Stakeholder Management and Representation
 
 
 <ul>
 <li>
 Act as senior executive interface for key clients, building trusted and enduring relationships with executives and decision-maker levels.
 </li>
 <li>
 Represent Tatweer in executive steering committees, governance boards, and strategic forums, ensuring alignment with client objectives.
 </li>
 <li>
 Manage critical internal and external stakeholders, including government entities, semi-government clients, private sector partners, and delivery stakeholders.
 </li>
 <li>
 Ensure consistent, professional, and value-led representation across all client engagements and public-facing platforms.
 </li>
 <li>
 Lead resolution of high-impact client issues and escalations, safeguarding client satisfaction and long-term relationships.
 </li>
 <li>
 Establish structured client governance mechanisms (e.g., quarterly business reviews, executive reporting, escalation pathways, and action tracking) to improve transparency, responsiveness, and trust.
 </li>
 <li>
 Implement client feedback mechanisms and improvement action plans to strengthen satisfaction, renewals, and reference ability.
 </li>
 </ul>
 
 
 Leadership, Team Alignment, and Capability Building
 
 
 <ul>
 <li>
 Build, lead, and develop a high-performing leadership team, ensuring clear accountability and effective delegation across disciplines.
 </li>
 <li>
 Drive talent acquisition, workforce planning, capability development, and succession planning aligned with current and future business requirements.
 </li>
 <li>
 Foster a performance-driven culture emphasizes accountability, collaboration, coaching, and continuous professional development.
 </li>
 <li>
 Promote innovation, continuous improvement, and adoption of leading practices in core domain.
 </li>
 <li>
 Ensure leadership behaviors align with corporate values, ethical standards, and governance expectations.
 </li>
 <li>
 Strengthen alignment and collaboration across departments through shared goals, integrated planning cycles, and consistent performance expectations.
 </li>
 <li>
 Enhance team cohesion by establishing clear operating rhythms, effective cross-functional coordination, and a culture of ownership, mutual support, and constructive challenge.
 </li>
 <li>
 Strengthen coordination with corporate functions to ensure seamless execution and a unified service experience for clients.
 </li>
 </ul>
 
 
 Financial Performance and Commercial Governance
 
 
 <ul>
 <li>
 Own and manage P&amp;L, including revenue, gross margins, utilization, backlog, forecasting accuracy, and cost control.
 </li>
 <li>
 Monitor and improve financial performance, including working capital, invoicing, cash collection, and profitability across portfolio.
 </li>
 <li>
 Establish pricing strategies and commercial approval governance for bids, proposals, and major contracts.
 </li>
 <li>
 Oversee commercial risk management, contract compliance, change control, claims strategy, and dispute avoidance in collaboration with related Corporate functions.
 </li>
 <li>
 Ensure accurate and timely financial reporting, performance reviews, and executive dashboards.
 </li>
 <li>
 Strengthen commercial discipline across delivery teams to minimize leakage, improve variation capture, and enhance cash conversion.
 </li>
 </ul>
 
 
 Business Growth Strategy
 
 
 <ul>
 <li>
 Define and execute growth strategy, aligned with corporate objectives, target markets, and priority sectors.
 </li>
 <li>
 Lead market development and pipeline generation, identifying new opportunities, clients, and sectors across public, semi-government, and private markets.
 </li>
 <li>
 Oversee key account management, ensuring account growth, client retention, and long-term strategic positioning.
 </li>
 <li>
 Lead pursuit strategies for major tenders and complex opportunities, ensuring strong bid governance, compelling win themes, and high-quality, compliant submissions.
 </li>
 <li>
 Improve market visibility and win rates through disciplined participation in tenders, expressions of interest, and strategic proposals.
 </li>
 <li>
 Establish and manage strategic partnerships, joint ventures, subconsultant networks, and delivery ecosystems to expand capability, capacity, and market reach.
 </li>
 <li>
 Identify opportunities for service diversification, cross-selling, and geographic or sector expansion.
 </li>
 <li>
 Implement client feedback mechanisms and improvement action plans to strengthen satisfaction, renewals, and reference ability.
 </li>
 </ul>
 
 
 Qualifications &amp; Requirements
 
 
 <ul>
 <li>
 Master&rsquo;s degree in information technology, Computer Science, AI, Machine Learning or related field.
 </li>
 <li>
 18+ years of progressive leadership experience in digital consulting, IT services, or technology-led business transformation, with at least 5 years in leadership role.
 </li>
 <li>
 Relevant professional certifications which include PMP, TOGAF, and Cloud Architect.
 </li>
 <li>
 Demonstrated ability to lead multi-disciplinary teams and complex stakeholder environments, including matrix delivery models.
 </li>
 </ul>
</div>

Digital Transformation Officer

700apps

<div>
 We are looking for a
 
 Senior AI Engineer
 
 to join our growing technology team and lead the development of advanced AI solutions. In this role, you will design, build, and deploy scalable AI models that power intelligent products and services.
 
 
 You will work closely with cross-functional teams to transform complex business challenges into innovative AI-driven solutions.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design end-to-end AI/ML system architecture from data ingestion to deployment and monitoring.
 </li>
 <li>
 Define scalable and reliable ML pipelines.
 </li>
 <li>
 Select the appropriate tools, frameworks, and infrastructure.
 </li>
 <li>
 Ensure performance, security, scalability, and maintainability of AI systems.
 </li>
 <li>
 Design APIs and AI services for integration with products and platforms
 </li>
 <li>
 Collaborate with engineering, product, and data teams to deliver AI-powered features.
 </li>
 <li>
 Develop, train, and fine-tune machine learning and deep learning models.
 </li>
 <li>
 Work on advanced AI solutions such as LLMs, NLP systems, or computer vision models.
 </li>
 <li>
 Optimize models for accuracy, speed, and cost efficiency.
 </li>
 <li>
 Conduct experiments and evaluate model performance using best practices.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 7+ years of experience in AI / Machine Learning development.
 </li>
 <li>
 Strong programming skills in Python and experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
 </li>
 <li>
 Experience with LLMs, NLP, or Generative AI is highly preferred.
 </li>
 <li>
 Experience with MLOps, model deployment, and cloud platforms (AWS, Azure, or GCP).
 </li>
 <li>
 Strong understanding of data structures, algorithms, and software engineering best practices.
 </li>
 <li>
 Excellent problem-solving and communication skills.
 </li>
 <li>
 Experience with cloud platforms such as AWS, GCP, or Azure.
 </li>
 <li>
 Experience with Docker and Kubernetes.
 </li>
 <li>
 Familiarity with MLOps tools such as MLflow, Airflow, or similar.
 </li>
 </ul>
</div>

Senior AI Engineer

<div>
 Dwelleo is a Saudi AI-powered PropTech platform redefining how real estate decisions are made. From buying and renting to selling and investing, we combine verified data, intelligent insights, and complete transparency &mdash; empowering users to understand the market clearly and make confident decisions at every step.
 
 
 
 About Dwelleo
 
 
 
 Dwelleo is an AI-powered real estate marketplace transforming how people search, buy, sell, and rent properties across Saudi Arabia.
 
 
 The platform combines machine learning, intelligent discovery tools, and data-driven insights to connect buyers, renters, brokers, and developers through a seamless, scalable digital experience.
 
 
 At its core, Dwelleo embeds AI directly into the product &mdash; powering pricing, recommendations, search, and decision-making across the entire property journey.
 
 
 
 About The Role
 
 
 
 You'll work across the full AI surface area of a live product. Your work will span classical ML (pricing, forecasting) and modern LLM systems (agents, RAG, voice), with real engineering expectations around reliability, observability, and production quality. Research here is always in service of shipping &mdash; experimentation exists to accelerate delivery, not replace it.
 
 
 You'll work within a dual-track Agile structure: a
 
 Research sprint
 
 for experimentation and model development, and an
 
 Engineering sprint
 
 for deployment, integration, and reliability work. You'll contribute to both.
 
 
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Ship predictive models for property price estimation, rent forecasting, and ROI analysis &mdash; from feature engineering through production deployment on AWS ECS with canary release practices
 </li>
 <li>
 Build and maintain LLM-powered multi-agent systems, including deterministic state machines, scoring engines, guardrail layers, and escalation logic that runs reliably at scale
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 Develop and improve RAG pipelines with vector-based retrieval (FAISS, pgvector) for property search and AI-assisted advisory features
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 Expose AI capabilities as FastAPI microservices with autoscaling, versioning, and production-grade reliability
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 Integrate and improve STT/TTS speech pipelines connected to telephony infrastructure &mdash; Arabic dialect support is a meaningful plus
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 Own observability across the stack: drift detection, latency monitoring, alerting, and model performance dashboards
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 Collaborate closely with product and engineering across both sprint tracks, translating research outcomes into shippable systems
 
 
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 </ul>
 
 Required
 
 
 
 
 What we're looking for
 
 
 
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 <li>
 3&ndash;6 years of hands-on experience in ML engineering, AI engineering, or a closely related role &mdash; with at least some of that time shipping to production
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 Strong Python skills with a track record of production deployment (not just notebooks)
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 Solid ML fundamentals: supervised learning, gradient boosting (XGBoost / LightGBM), feature engineering, model evaluation, and retraining workflows
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 Hands-on experience with LLMs (OpenAI, Anthropic, or open-source models) and practical RAG pipeline implementation
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 Experience building and deploying ML microservices using FastAPI
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 Working knowledge of CI/CD for ML workloads &mdash; you've set up or maintained pipelines using tools like GitHub Actions, MLflow, or equivalent
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 Comfortable working in English; Arabic is not required but welcome
 
 
 </li>
 </ul>
 
 Nice To Have
 
 
 
 <ul>
 <li>
 STT/TTS integration or voice pipeline engineering &mdash; Arabic dialect experience is a strong plus
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 AWS hands-on experience: ECS, S3, RDS
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 Familiarity with geospatial data and similarity search (Ball Tree, FAISS, pgvector)
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 Background in lead scoring, content moderation, or recommendation systems
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 Experience with MLflow, experiment tracking, or model registry workflows
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 Real estate or PropTech domain exposure
 
 
 </li>
 </ul>
 
 What We Offer
 
 
 
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 Location: Fully remote
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 Team: You'll report directly to the AI Team Lead
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 Direct ownership of production AI systems with measurable user and business impact
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 A technically ambitious environment working at the intersection of AI and one of the region's most active real estate markets
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 </ul>
</div>

AI Engineer

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