Top Tech Jobs & Startup Jobs

Build and productionize data science and machine learning solutions for Middle Eastern clients. Responsibilities include data acquisition, preparation, exploration, predictive modeling, NLP and generative AI, data pipelines, visualization, cloud deployment, stakeholder presentations, and contributing to proposals and internal data science assets.

Develop and optimize Python backend services, microservices, and data-centric applications for AI-powered SaaS products. Integrate and optimize machine learning models, manage PostgreSQL and MongoDB databases, and deploy applications using Docker, Kubernetes, Terraform, Helm, and cloud platforms. Build CI/CD pipelines, write tests, contribute to software architecture, and collaborate with DevOps, data science, and data engineering teams. The role also includes mentoring and leading engineering teams.

Build and deploy production-grade generative AI solutions for clients across the Middle East. Responsibilities include developing LLM systems, RAG pipelines, tool-calling agents, APIs, integrations, and workflow automation; applying testing, CI/CD, monitoring, security, and governance practices; translating business needs into technical solutions; communicating with stakeholders; enabling client adoption through training and documentation; and contributing to AI accelerators and business development.

Designs end-to-end data and AI architectures for enterprise and government clients, covering cloud infrastructure, data platforms, machine learning, generative AI, agentic systems, and application modernization. Leads architecture governance, client workshops, production-readiness planning, responsible AI implementation, technical proposals, and stakeholder engagement. Provides hands-on technical leadership, mentors consultants and engineers, and develops reference architectures and internal accelerators for the Middle East market.

Develop scalable AI-powered SaaS web applications across frontend and backend systems. Build React and TypeScript interfaces, Python services and REST APIs, database integrations, automated tests, and cloud-native deployments. Use Docker, Kubernetes, Terraform, Helm, and cloud platforms to manage infrastructure and releases. Collaborate with product, design, DevOps, and engineering teams while optimizing performance, reliability, security, and code quality.

Designs, develops, fine-tunes, evaluates, and deploys generative AI and LLM solutions for clients. Responsibilities include prompt engineering, RAG architecture, model selection, application development, MLOps integration, cloud deployment, evaluation, security, compliance, and responsible AI. The consultant collaborates with technical and nontechnical stakeholders, researches emerging AI methods, documents practices, and helps distinguish GenAI use cases from traditional NLP applications.

Develop and maintain Power BI dashboards, semantic models, datasets, ETL pipelines, SQL transformations, and data warehouse layers. Lead end-to-end BI projects from requirements gathering through production deployment and monitoring. Optimize queries, data models, refresh performance, and dashboard usability while enforcing data governance, documentation, testing, and security standards. Mentor junior analysts and collaborate with international technical and business stakeholders.

Lead client technology strategies and end-to-end digital transformation programs, advise senior executives, oversee governance and stakeholder engagement, develop consulting teams, drive innovation, and support business development. The role focuses on leveraging AI, cloud, data analytics, and automation to deliver business value across large organizations.

Leads the development of a lifecycle and CRM capability for a digital-presence services business. Responsibilities include assessing customer journeys, defining lifecycle strategy and roadmaps, designing onboarding, activation, retention, renewal, win-back, and expansion programs, establishing segmentation and triggers, connecting customer and service data, improving personalization, measuring experiments, and creating cross-functional operating models. The leader will also guide initial journey delivery and build sustainable internal lifecycle capabilities.

The role involves consulting on HR transformation projects, focusing on organizational design, HR management, digital HR, and project management. Responsibilities include assessments, strategy development, and enhancing HR performance through innovative solutions.