artificial intelligence specialist

Infomineo

<div>
 
 
 About us
 
 
 
 Infomineo is a pioneering global AI-enhanced research company that transforms how businesses access, analyze, and act on critical intelligence. We&rsquo;ve evolved from traditional business research outsourcing to become the strategic partner that combines cutting-edge artificial intelligence with deep human expertise. We offer 3 services to our global clients (leading consulting companies, Fortune 500 companies, and government entities): AI and Data Advisory, Next-Gen Insights and Resource Scaling. This is made possible by relying on 3 pillars of excellence:
 
 
 
 
 <ol>
 <li>
 350+ industry experts spread across 5 offices (Cairo, Casablanca, Mexico City, Dubai, Barcelona).
 </li>
 <li>
 Our proprietary AI orchestrator.
 </li>
 <li>
 Extensive knowledge assets combining 500,000+ delivered case studies and database subscriptions.
 </li>
 </ol>
 
 
 
 
 Ready to kick start your career with us?
 
 
 
 Why Infomineo? Here&rsquo;s what sets us apart:
 
 
 <ul>
 <li>
 
 Shape the Future of Business Insights:
 
 You will be at the forefront, leading the design and implementation of AI-driven solutions that automate tasks and drive efficiency across our entire service spectrum (Business Research, Content, Design, and Data Analytics).
 </li>
 <li>
 
 Work with Global Leaders:
 
 Our clients are industry leaders &mdash; Fortune 500s, top consultancies, governments, and NGOs. You will take ownership of delivering technical solutions that directly support their success.
 </li>
 <li>
 
 Lead in AI &amp; Technology:
 
 We foster continuous learning and technical excellence. You will stay ahead of the latest advancements in AI and software engineering, and actively drive innovation across the team.
 </li>
 <li>
 
 Thrive in a Collaborative Culture:
 
 We value intellectual curiosity, leadership, and a can-do attitude. You will be encouraged to mentor others, contribute strategic ideas, and make a lasting impact on the company&rsquo;s growth.
 </li>
 </ul>
 
 
 
 
 
 About this role:
 
 
 
 We are seeking an experienced and technically strong individual to join us as
 
 Senior AI Software Engineer.
 
 In this role, you will take ownership of designing, developing, and deploying AI-powered data products and analytical applications that serve our internal teams and global clients. You will lead data science and AI initiatives, define best practices for applied AI and analytical solution development, and collaborate closely with engineering, product, and business stakeholders. While the role is primarily data science and AI-focused, you will also leverage your full-stack development background to build production-ready applications, integrate AI capabilities, and support cloud-based deployment.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 Data Science, AI &amp; Applied R&amp;D:
 
 
 <ul>
 <li>
 Lead the design and development of AI-powered analytical solutions, data products, and intelligent applications that solve complex business problems.
 </li>
 <li>
 Translate business and client requirements into data science approaches, AI workflows, and scalable technical solutions.
 </li>
 <li>
 Design, prototype, and productionize machine learning, LLM, and generative AI solutions with a focus on business value, reliability, and usability.
 </li>
 <li>
 Own the architecture of Retrieval-Augmented Generation (RAG) pipelines, including document processing, vectorization, semantic search, evaluation, and query optimization for enterprise use cases.
 </li>
 <li>
 Design and implement complex AI-powered features by integrating LLM APIs and services using frameworks such as LangChain or equivalent, with a focus on reliability, accuracy, and performance in production.
 </li>
 <li>
 Design, implement, and maintain Model Context Protocol (MCP) integrations to connect AI models with external tools, APIs, and data sources, enabling context-aware and extensible AI solutions.
 </li>
 <li>
 Develop evaluation frameworks, monitoring approaches, and observability practices for LLM-powered systems to ensure quality, transparency, and continuous improvement.
 </li>
 <li>
 Apply advanced prompt engineering, embedding strategies, and vector database management techniques to improve the performance of AI solutions.
 </li>
 <li>
 Integrate AI outputs into analytical workflows, dashboards, reporting tools, and client delivery pipelines.
 </li>
 </ul>
 
 
 
 
 
 Full-Stack Application Development:
 
 
 <ul>
 <li>
 Design and contribute to the development of production-grade AI and data applications, primarily using Python and backend frameworks such as FastAPI.
 </li>
 <li>
 Build or support frontend interfaces using modern frameworks such as React, Next.js, or Vue to make AI and data products accessible to business users and clients.
 </li>
 <li>
 Collaborate with software engineers to define scalable application architectures, API standards, and integration patterns.
 </li>
 <li>
 Develop and maintain REST API integrations with third-party AI services, enterprise SaaS platforms, internal tools, and external data sources.
 </li>
 <li>
 Ensure that data science prototypes are translated into maintainable, secure, and scalable production solutions.
 </li>
 <li>
 Participate in code reviews, define technical best practices, and contribute to a high-quality engineering and data science culture.
 </li>
 </ul>
 
 
 
 
 
 Cloud, Deployment &amp; MLOps:
 
 
 <ul>
 <li>
 Support the containerization and cloud deployment of AI and data applications, preferably on Google Cloud Platform using GKE and Artifact Registry, while remaining adaptable to other cloud environments.
 </li>
 <li>
 Design and maintain CI/CD pipelines using GitHub Actions or equivalent tools to ensure reliable and repeatable releases.
 </li>
 <li>
 Apply MLOps and LLMOps practices to manage experimentation, deployment, monitoring, and continuous improvement of AI systems.
 </li>
 <li>
 Collaborate with engineering and infrastructure teams to ensure the reliability, scalability, and performance of production environments.
 </li>
 <li>
 Proactively identify performance bottlenecks in AI workflows, data pipelines, application layers, and infrastructure.
 </li>
 </ul>
 
 
 
 
 
 Technical Leadership &amp; Collaboration:
 
 
 <ul>
 <li>
 Lead applied AI and data science initiatives from discovery and prototyping through production deployment.
 </li>
 <li>
 Mentor junior data scientists, AI engineers, and developers on data science methods, AI integration, coding practices, and production readiness.
 </li>
 <li>
 Work closely with product teams, consultants, analysts, and non-technical stakeholders to ensure solutions are aligned with business needs.
 </li>
 <li>
 Define standards and best practices for AI solution design, evaluation, documentation, and delivery.
 </li>
 <li>
 Communicate complex technical concepts clearly to both technical and non-technical audiences.
 </li>
 </ul>
 
 
 
 
 
 Qualifications:
 
 
 <ul>
 <li>
 4 to 6 years of experience in data science, AI development, applied machine learning, or related technical roles, with hands-on experience delivering production-grade AI or data products.
 </li>
 <li>
 Strong proficiency in Python, with experience using data science, machine learning, and AI libraries and frameworks.
 </li>
 <li>
 Solid full-stack development background, including experience with backend frameworks such as FastAPI and modern frontend frameworks such as React, Next.js, or Vue.
 </li>
 <li>
 Deep understanding of LLMs, RAG architectures, generative AI workflows, and production-grade AI service integration, including tools such as OpenAI, Gemini, LangChain, or equivalent.
 </li>
 <li>
 Proven experience designing and implementing Model Context Protocol (MCP) integrations to connect AI models with external tools, APIs, and enterprise data sources.
 </li>
 <li>
 Experience building analytical workflows, dashboards, data pipelines, or AI-powered decision-support tools in a client delivery or enterprise context.
 </li>
 <li>
 Hands-on experience with Docker and cloud deployment on at least one major cloud platform such as GCP, AWS, Azure, or equivalent.
 </li>
 <li>
 Familiarity with container orchestration, artifact management, CI/CD pipelines, GitHub Actions, GitOps workflows, and branching strategies.
 </li>
 <li>
 Strong understanding of LLM observability, AI evaluation, performance monitoring, and production reliability practices.
 </li>
 <li>
 Demonstrated ability to lead technical initiatives, mentor junior team members, and collaborate effectively with product teams and business stakeholders.
 </li>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Software Engineering, Statistics, Applied Mathematics, or a related field.
 </li>
 </ul>
 
 
 
 
 
 Preferred Skills:
 
 
 <ul>
 <li>
 Experience with agentic AI frameworks such as LangGraph or similar orchestration tools for building multi-step AI workflows.
 </li>
 <li>
 Knowledge of advanced prompt engineering, vector database management, embedding model optimization, and AI evaluation techniques.
 </li>
 <li>
 Experience with MLOps or LLMOps practices, including experiment tracking, model monitoring, and AI quality evaluation.
 </li>
 <li>
 Experience with Infrastructure as Code tools such as Terraform or Pulumi.
 </li>
 <li>
 Experience designing data models, analytical pipelines, or BI/dashboard solutions.
 </li>
 <li>
 Relevant certifications such as Google Cloud Professional Data Engineer, Google Cloud Professional Machine Learning Engineer, Google Cloud Professional Developer, or similar cloud and AI credentials.
 </li>
 </ul>
 
 
 
 
 
 What we offer:
 
 
 <ul>
 <li>
 A competitive compensation and benefits package.
 </li>
 <li>
 The opportunity to lead AI and technology initiatives with real global impact.
 </li>
 <li>
 A dynamic and supportive work environment that values leadership, innovation, and your contributions.
 </li>
 <li>
 Continuous learning and professional development opportunities to propel your career forward in AI and software engineering.
 </li>
 </ul>
 
 
 
 
 
 Application Process:
 
 
 
 Candidates are invited to submit a resume, cover letter, and any relevant portfolio or GitHub links showcasing their experience in web application development, AI integration, and cloud deployment. Shortlisted candidates will undergo a technical assessment and interview to demonstrate their skills and technical leadership capabilities.
 
 
 
 
 
 
 Infomineo: Where brilliant minds meet to shape the future of business.
 
 
 
 
</div>

AI & Analytics - Sr. Software Engineer with AI Background - Cairo

RWS Group

<div>
 We are looking for
 
 Speech AI Evaluation Specialist
 
 to support the improvement of AI-generated content in
 
 Arabic
 
 .
 
 
 
 Job Type:
 
 Freelance
 
 
 
 Location:
 
 Egypt (work from home)
 
 
 
 
 Work Schedule:
 
 
 Part-time - 10+ hours per week. Flexible - work whenever you want.
 
 
 
 Start Date:
 
 Immediately
 
 
 
 Duration:
 
 TBC
 
 
 
 Rate:
 
 6 USD per hour
 
 
 
 Help Shape the Future of AI
 
 
 Are you a student, recent graduate, stay-at-home parent, gig worker, or professional seeking flexible remote work? Are you interested in shaping the development and safety of today&rsquo;s AI models?
 
 
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Participate in short voice conversations with AI models using a designated platform
 </li>
 <li>
 Follow provided scenarios and prompts during interactions
 </li>
 <li>
 Evaluate AI responses based on factors such as relevance, accuracy, clarity, and overall quality
 </li>
 <li>
 Provide objective ratings and feedback according to project guidelines
 </li>
 <li>
 Complete assigned tasks within established quality and productivity expectations
 
 
 
 
 </li>
 </ul>
 
 What we&rsquo;re looking for:
 
 
 
 <ul>
 <li>
 Native-level fluency in Arabic
 </li>
 <li>
 English Proficiency: Fluent or advanced proficiency in English (levels B2-C2)
 </li>
 <li>
 AI &amp; Data Capabilities (Preferred): Experience in one or more of the following areas: machine learning tasks, data collection and preprocessing, data evaluation and quality assurance, and data annotation and labeling
 
 
 
 
 </li>
 </ul>
 
 What We Offer
 
 
 
 <ul>
 <li>
 Flexible schedule
 </li>
 <li>
 Opportunity to earn extra income
 </li>
 <li>
 Timely payments
 </li>
 <li>
 The job is ideal for students, part-timers, or stay-at-home parents
 
 
 
 
 </li>
 </ul>
 
 Vendor Type
 
 
 
 When applying, please select the option that best describes your working status.
 
 
 
 Are you a Freelancer or Private Individual?
 
 
 A Freelancer is someone who has a business license and may have a VAT number or EIN for tax purposes. A VAT (Value Added Tax) number is a unique identifier assigned to registered businesses in many countries; an EIN (Employer Identification Number) is a similar identifier used in the US. A Private Individual does
 
 not
 
 have a business license. If you aren&rsquo;t sure, you are probably a private individual.
 
 
 
 RWS embraces DEI
 
 and promotes equal opportunity, we are an Equal Opportunity Employer and prohibit discrimination and harassment of any kind. RWS is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at RWS are based on business needs, job requirements and individual qualifications, without regard to race, religion, nationality, ethnicity, sex, age, disability, or sexual orientation. RWS will not tolerate discrimination based on any of these characteristics.
 
 
</div>

Speech AI Evaluation Specialist - Arabic (Egypt)

QNBeyond Plus

<div>
 
 About the Role
 
 
 We are seeking an experienced
 
 Head of Data &amp; AI
 
 to lead the organization's data, analytics, and artificial intelligence strategy, driving innovation across our digital banking platform.
 
 
 In this leadership role, you will be responsible for defining and executing the enterprise data strategy, building scalable data platforms, leading AI initiatives, and establishing data governance practices that enable data-driven decision-making.
 
 
 You will lead multidisciplinary teams of data engineers, data analysts, BI developers, database administrators, AI specialists, and product managers while collaborating closely with executive leadership to deliver strategic business outcomes.
 
 
 Key Responsibilities
 
 
 Data &amp; AI Strategy
 
 <ul>
 <li>
 Define and execute the organization's Data &amp; AI strategy aligned with business objectives.
 </li>
 <li>
 Build a long-term roadmap for data platforms, analytics, business intelligence, and AI capabilities.
 </li>
 <li>
 Drive innovation through advanced analytics, machine learning, and AI solutions.
 </li>
 </ul>
 
 Leadership &amp; Team Management
 
 <ul>
 <li>
 Build, mentor, and lead high-performing Data &amp; AI teams.
 </li>
 <li>
 Foster a culture of innovation, collaboration, and continuous improvement.
 </li>
 <li>
 Support career development, performance management, and technical mentoring.
 </li>
 </ul>
 
 Data Platform &amp; Architecture
 
 <ul>
 <li>
 Oversee the design and evolution of enterprise data platforms and architectures.
 </li>
 <li>
 Ensure scalable, secure, and highly available data infrastructure.
 </li>
 <li>
 Drive modernization of data engineering and data warehousing capabilities.
 </li>
 </ul>
 
 AI &amp; Advanced Analytics
 
 <ul>
 <li>
 Lead AI and machine learning initiatives from ideation through production deployment.
 </li>
 <li>
 Identify opportunities to leverage AI for customer experience, fraud detection, personalization, and operational efficiency.
 </li>
 <li>
 Collaborate with product and engineering teams to embed AI capabilities into digital products.
 </li>
 </ul>
 
 Data Governance
 
 <ul>
 <li>
 Establish enterprise data governance, quality, security, and compliance standards.
 </li>
 <li>
 Ensure compliance with regulatory requirements and data privacy policies.
 </li>
 <li>
 Define enterprise-wide data standards and best practices.
 </li>
 </ul>
 
 Stakeholder Management
 
 <ul>
 <li>
 Partner with executive leadership to define strategic priorities.
 </li>
 <li>
 Translate business needs into scalable technology solutions.
 </li>
 <li>
 Present roadmaps, KPIs, and progress updates to senior management.
 </li>
 </ul>
 
 Delivery &amp; Innovation
 
 <ul>
 <li>
 Oversee delivery of strategic data initiatives across engineering, product, and business teams.
 </li>
 <li>
 Monitor project execution, budgets, risks, and resource allocation.
 </li>
 <li>
 Continuously evaluate emerging technologies and industry trends.
 </li>
 </ul>
 
 Required Qualifications
 
 
 Experience
 
 <ul>
 <li>
 
 10+ years of experience
 
 in Data Engineering, Analytics, AI, or Data Management.
 </li>
 <li>
 
 5+ years leading enterprise Data &amp; AI teams.
 
 </li>
 <li>
 Proven experience building and scaling enterprise data platforms.
 </li>
 </ul>
 
 Technical Expertise
 
 <ul>
 <li>
 Data Engineering
 </li>
 <li>
 Data Warehousing
 </li>
 <li>
 Data Lakes
 </li>
 <li>
 ETL / ELT
 </li>
 <li>
 Streaming Data Platforms
 </li>
 <li>
 Cloud Data Platforms
 </li>
 <li>
 Machine Learning
 </li>
 <li>
 Artificial Intelligence
 </li>
 <li>
 Business Intelligence
 </li>
 </ul>
 
 Leadership
 
 <ul>
 <li>
 Strong people leadership and organizational management skills.
 </li>
 <li>
 Experience managing multidisciplinary technical teams.
 </li>
 <li>
 Executive stakeholder management experience.
 </li>
 </ul>
 
 Professional Skills
 
 <ul>
 <li>
 Strategic thinking and business acumen.
 </li>
 <li>
 Excellent communication and presentation skills.
 </li>
 <li>
 Strong analytical and problem-solving capabilities.
 </li>
 <li>
 Ability to influence senior stakeholders and drive organizational change.
 </li>
 </ul>
 
 Preferred Qualifications
 
 <ul>
 <li>
 Experience in
 
 Banking, Financial Services, or FinTech
 
 </li>
 <li>
 Experience leading enterprise digital transformation initiatives.
 </li>
 <li>
 Knowledge of:
 </li>
 <li>
 Cloud platforms (AWS, Azure, or GCP)
 </li>
 <li>
 Big Data technologies
 </li>
 <li>
 AI/ML platforms
 </li>
 <li>
 Data Governance frameworks
 </li>
 <li>
 Experience implementing enterprise AI solutions.
 </li>
 <li>
 Master's degree in Computer Science, Data Science, AI, or MBA is a plus.
 </li>
 </ul>
</div>

Head of Data & AI

Intellias

<div>
 
 
 Tech Lead Engineer &ndash; AI Registry &amp; Discovery Platform (AWS AgentCore)
 
 
 
 
 About the Role
 
 
 
 
 
 
 We are looking for a
 
 Tech Lead Engineer
 
 to design and lead the implementation of an enterprise-grade
 
 AI Registry and Discovery Platform
 
 for AI agents, tools, and MCP services. This role focuses on service registration, metadata governance, semantic discovery, identity mapping, lifecycle management, and integration with the AWS AgentCore ecosystem.
 
 
 As a technical leader, you will drive the architecture and development of a scalable platform that enables secure discovery, governance, and lifecycle management of AI capabilities across the enterprise. You will collaborate with platform, security, and AI engineering teams to establish engineering standards, governance processes, and best practices for enterprise AI platforms.
 
 
 The ideal candidate has strong platform engineering expertise, experience building large-scale registry or catalog systems, and a deep understanding of cloud-native architectures, API security, metadata management, and distributed systems.
 
 
 
 
 
 
 Project Overview
 
 
 
 Our customer is a multinational corporation with more than a century of history and operations in over 180 countries. One of its key strategic initiatives is the development and adoption of a new generation of Reduced-Risk Products (RRPs), targeting more than one billion consumers worldwide.
 
 
 Intellia partners with the customer to engineer a comprehensive software ecosystem supporting innovative IoT products, digital commerce, and enterprise platforms. Our engineering teams develop core platform components powering best-in-class eCommerce, Digital Marketing, and IoT solutions.
 
 
 As a
 
 Tech Lead Engineer
 
 , you will become part of the
 
 Core Architecture Team
 
 , contributing to the design and implementation of a modern Digital Engineering Enterprise Platform.
 
 
 The platform provides engineering teams with reusable services, cloud technologies, governance standards, and operational best practices that accelerate software delivery across more than 700 enterprise applications.
 
 
 
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Lead the architecture, design, and implementation of an enterprise AI Registry and Discovery Platform.
 </li>
 <li>
 Design and maintain metadata schemas for MCP servers, AI tools, and agent capabilities aligned with Canonical Contract standards.
 </li>
 <li>
 Build scalable backend services using Python, FastAPI, DynamoDB, and AWS-native technologies.
 </li>
 <li>
 Develop registration, discovery, approval, certification, and lifecycle management workflows for AI agents and MCP services.
 </li>
 <li>
 Design semantic discovery capabilities using vector search, embeddings, and relevance-ranking techniques.
 </li>
 <li>
 Integrate enterprise identity systems and implement Entra Agent ID mapping across AI ecosystems.
 </li>
 <li>
 Implement secure authentication and authorization using OAuth 2.0, JWT, and enterprise identity providers.
 </li>
 <li>
 Design governance processes for onboarding, approval, certification, versioning, deprecation, and retirement of AI services.
 </li>
 <li>
 Develop APIs supporting registry operations, metadata management, discovery services, and governance workflows.
 </li>
 <li>
 Implement secure credential and secret management using HashiCorp Vault and cloud-native security controls.
 </li>
 <li>
 Design observability, auditing, compliance, and operational monitoring capabilities across the registry platform.
 </li>
 <li>
 Collaborate with AI, platform, cloud, and security teams to establish registry standards, governance policies, and engineering best practices.
 </li>
 <li>
 Mentor engineers, provide technical leadership, and support architectural decision-making across the platform.
 </li>
 <li>
 Produce architecture documentation, implementation standards, and technical governance guidelines.
 </li>
 </ul>
 
 
 
 
 
 Requirements
 
 
 <ul>
 <li>
 Bachelor's degree in computer science, Software Engineering, or a related field.
 </li>
 <li>
 5+ years of backend or platform engineering experience.
 </li>
 <li>
 Experience designing and building enterprise-scale registry, catalog, metadata management, or discovery platforms.
 </li>
 <li>
 Strong Python development experience, including Fast API and backend service development.
 </li>
 <li>
 Experience with AWS services, including AWS Agent Core Registry, Gateway, DynamoDB, and related cloud-native technologies.
 </li>
 <li>
 Experience designing metadata schemas and service registration models.
 </li>
 <li>
 Knowledge of semantic search technologies, vector databases, embeddings, and AI-powered discovery.
 </li>
 <li>
 Experience implementing secure API authentication and authorization using OAuth 2.0 and JWT.
 </li>
 <li>
 Experience integrating governance workflows, approval processes, and lifecycle management into enterprise platforms.
 </li>
 <li>
 Experience integrating enterprise identity providers and identity mapping solutions.
 </li>
 <li>
 Strong understanding of cloud-native architecture, distributed systems, API design, and platform engineering.
 </li>
 <li>
 Excellent leadership, communication, mentoring, and stakeholder management skills.
 </li>
 </ul>
 
 
 
 
 
 Nice to Have
 
 
 <ul>
 <li>
 Hands-on experience with AWS AgentCore Registry and Gateway.
 </li>
 <li>
 Experience with vector databases such as pgvector, OpenSearch, or similar semantic search technologies.
 </li>
 <li>
 Experience with HashiCorp Vault or enterprise secrets management platforms.
 </li>
 <li>
 Familiarity with MCP (Model Context Protocol) standards and Canonical Contract schema design.
 </li>
 <li>
 Experience implementing observability and distributed tracing solutions.
 </li>
 <li>
 Knowledge of CI/CD pipelines, Infrastructure as Code (IaC), and cloud security best practices.
 </li>
 </ul>
 
 Why Join Us
 
 <ul>
 <li>
 Lead the development of an enterprise AI Registry and Discovery Platform supporting next-generation AI applications.
 </li>
 <li>
 Work with cutting-edge AWS AgentCore technologies, semantic search, and cloud-native architectures.
 </li>
 <li>
 Drive engineering standards, governance, and technical strategy for enterprise AI platforms.
 </li>
 <li>
 Collaborate with experienced AI, platform, and cloud engineering teams on innovative global-scale solutions.
 </li>
 <li>
 Make a significant impact by shaping the future of AI service discovery, governance, and lifecycle management across a large enterprise.
 </li>
 </ul>
 
 
 
</div>

Python Team Lead – AI Registry & Discovery Platform (AWS AgentCore)

YO IT Consulting

<div>
 
 Job Description
 
 
 
 
 Job Title:
 
 AI Engineer
 
 
 
 Job Type:
 
 Contract
 
 
 
 Location:
 
 Remote
 
 
 
 Job Summary:
 
 In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required &mdash; your domain knowledge is what matters.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design, build, and optimize robust machine learning models for production environments.
 </li>
 <li>
 Implement and automate end-to-end ML pipelines using CI/CD best practices.
 </li>
 <li>
 Leverage AWS services for scalable AI infrastructure and model deployment.
 </li>
 <li>
 Orchestrate containerized workloads using Kubernetes to ensure high availability and seamless scalability.
 </li>
 <li>
 Collaborate with data scientists, engineers, and researchers to translate complex business problems into actionable ML solutions.
 </li>
 <li>
 Evaluate, preprocess, and frame real-world data problems for effective machine learning applications.
 </li>
 <li>
 Document and communicate findings, solution approaches, and technical decisions with clarity and precision.
 
 
 </li>
 </ul>
 
 Required Skills And Qualifications
 
 
 
 <ul>
 <li>
 Proven expertise in machine learning algorithms, model development, and deployment.
 </li>
 <li>
 Strong programming skills, ideally in Python or Java, with experience in large-scale software engineering projects.
 </li>
 <li>
 In-depth experience with CI/CD workflows and automation tools.
 </li>
 <li>
 Hands-on expertise with AWS cloud services for ML applications and data pipelines.
 </li>
 <li>
 Advanced knowledge of Kubernetes for orchestrating containerized ML workloads.
 </li>
 <li>
 Exceptional written and verbal communication skills, with a focus on clear technical documentation and team collaboration.
 </li>
 <li>
 Demonstrated ability to scope, structure, and solve complex, real-world data challenges.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Familiarity with deep learning frameworks such as TensorFlow or PyTorch.
 </li>
 <li>
 Experience working in high-growth or startup environments.
 </li>
 <li>
 Strong publication record or contributions to open-source AI projects.
 </li>
 </ul>
</div>

AI Engineer - Remote

<div>
 
 Overview
 
 
 
 We empower clients to overcome accounting and financial reporting challenges by delivering innovative technology solutions. As part of our Data &amp; AI team in the AI Hub, you will help drive analytics, decision-making, and innovation, contributing to a more agile and efficient finance function. By fostering outstanding leadership and teamwork, we fulfil our commitment to stakeholders and play a pivotal role in building a better working world for our people, clients, and communities.
 
 
 
 The Opportunity
 
 
 
 We are seeking a Senior AI Software Engineer to join our AI Hub, where we rapidly deliver prototypes, proof-of-concepts (PoCs), and minimum viable products (MVPs), as well as delivering production‑grade solutions that bring AI use cases to life. This role demands expertise across both front-end and back-end development, supporting the creation of dynamic AI-driven products such as GenAI-enabled web applications, use case marketplaces, and diagnostic tools. You will be responsible for designing, building, and optimizing end-to-end solutions, translating business requirements into robust, scalable, secure, and accessible web experiences suitable for enterprise production environments.
 
 
 Core Requirements
 
 
 <ul>
 <li>
 5+ years of professional experience delivering enterprise-grade software solutions across backend and frontend systems.
 </li>
 <li>
 Strong hands-on experience building secure, scalable, and maintainable APIs using Python and Node.js, with frameworks such as FastAPI and Fastify.
 </li>
 <li>
 Solid frontend engineering experience with TypeScript, React, and Next.js, following enterprise UI and accessibility standards.
 </li>
 <li>
 Proven experience containerizing, deploying, and operating applications in production using Docker and Kubernetes, with a strong understanding of reliability and scalability.
 </li>
 <li>
 Experience designing, implementing, and maintaining CI/CD pipelines using Jenkins, GitHub Actions, or Azure DevOps, with automated testing and quality gates.
 </li>
 <li>
 Hands-on experience deploying and operating production workloads on Microsoft Azure, including services such as AKS, Azure Container Apps, Azure Container Registry, and related platform services.
 </li>
 <li>
 Strong understanding and application of software engineering best practices, including SOLID principles, clean architecture, and common enterprise design patterns.
 </li>
 <li>
 Experience working with relational databases such as MS SQL Server and PostgreSQL, including schema design, query optimization, and transactional consistency.
 </li>
 <li>
 Practical experience with vector databases (e.g., Chroma, Milvus, Pinecone) and pgvector, including building and operating Retrieval Augmented Generation (RAG) pipelines in production environments.
 </li>
 <li>
 Ability to collaborate effectively in cross-functional enterprise teams, including product, architecture, security, and cloud/platform teams.
 </li>
 <li>
 Experience working with LLMs and AI platforms, such as Azure OpenAI, OpenAI APIs, or similar enterprise AI services.
 </li>
 <li>
 Familiarity with LLM orchestration frameworks such as LangChain, Semantic Kernel, or equivalent.
 </li>
 <li>
 hands-on experience using AI coding assistants (Claude Code, OpenAI Codex,..etc)
 </li>
 <li>
 Strong documentation skills and experience contributing to architecture decisions, technical standards, and internal best practices.
 </li>
 <li>
 Prior experience mentoring junior engineers or contributing to engineering excellence initiatives.
 
 
 </li>
 </ul>
 Nice to Have
 
 
 <ul>
 <li>
 Exposure to MLOps or AI platform operations, including model lifecycle management, monitoring, and observability.
 </li>
 <li>
 Experience with event-driven or distributed architecture (e.g., message queues, service buses, async processing).
 </li>
 <li>
 Knowledge of observability and monitoring tools (e.g., Azure Monitor, Application Insights, Prometheus, Grafana).
 </li>
 <li>
 Experience working in regulated or compliance-driven environments (e.g., financial services, audit).
 </li>
 <li>
 Familiarity with infrastructure-as-code tools such as Terraform, Bicep, or ARM templates.
 
 
 </li>
 </ul>
 What We Look For
 
 
 We are seeking ambitious builders who excel at transforming ambiguity into impactful digital solutions. You are passionate about AI-driven products, comfortable with rapid prototyping, and motivated by delivering market-relevant, client-centric applications that generate tangible value.
 
 
 What We Offer
 
 
 <ul>
 <li>
 Competitive compensation package, performance-based rewards, and recognition for your contributions.
 </li>
 <li>
 Continuous learning and world-class professional development opportunities.
 </li>
 <li>
 Flexible work arrangements to empower your impact.
 </li>
 <li>
 Coaching, mentorship, and transformative leadership experiences.
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 A diverse, inclusive, and collaborative culture.
 
 
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 </ul>
 If you meet the above criteria, we encourage you to apply and become part of the exceptional EY experience, where you can shape your future and help us build a better working world.
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Senior Consultant - AI Software Engineer- AI Hub - Cairo

AllCare.ai

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 Company: AllCare.ai | Healthcare Concierge (Care Partner) | Remote (Egypt-based)
 
 
 
 
 
 
 The Mission
 
 
 
 AllCare.ai is an AI-powered healthcare delivery platform that acts as the easy button for Assisted Living operators. We combine advanced artificial intelligence with compassionate onsite care to eliminate the logistical chaos of senior living healthcare. Instead of operators coordinating appointments, transport, and vendors, our technology and field teams bring the entire clinic directly to the resident's doorstep. We don't just coordinate care &mdash; we deliver care.
 
 
 
 
 
 
 The Growth
 
 
 
 We are in a phase of exponential expansion driven by urgent market demand. Today, we support care delivery for over 5,000 residents across California, and we have been doubling our resident base every three months. We're building a remote Healthcare Concierge team in Egypt to serve as the relationship backbone of our business as we scale.
 
 
 
 
 
 
 The Opportunity
 
 
 
 The Provider &amp; Care Operations Specialist will be responsible for coordinating provider logistics including scheduling &amp; routing to ensure smooth day-to-day operations across our provider network. This role serves as the primary operational link between providers, facilities, internal teams, and pharmacy operations to ensure high-quality service delivery and operational efficiency.
 
 
 
 
 
 
 Key Responsibilities
 
 
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 Coordinate provider schedules and daily routing.
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 Manage provider assignments and optimize utilization.
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 Communicate with Care partners to confirm schedules, patient census, and operational changes.
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 Coordinate with Care partners, MAs, and Dispatch teams to ensure seamless patient care.
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 Support provider onboarding and operational readiness.
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 Monitor daily operational KPIs and proactively resolve scheduling or service issues.
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 Maintain accurate operational records and reporting.
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 Escalate operational risks and recommend process improvements.
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 </ul>
 
 
 
 
 
 Who This Is For
 
 
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 Has 2-5 years of experience in healthcare operations, provider operations, dispatch, care coordination, or logistics.
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 Has strong organizational and multitasking skills.
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 Is comfortable working in a fast-paced, highly dynamic environment.
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 Has excellent written and verbal communication skills.
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 Is highly analytical and detail-oriented.
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 Demonstrates strong ownership, accountability, and problem-solving abilities.
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 Is proficient in Microsoft Excel and comfortable learning new systems.
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 Experience with healthcare providers, scheduling, routing, home health, mobile care, or long-term care operations is highly preferred.
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 On US time, fully. Your work calendar runs on the US Pacific week. You'll take time off when your facilities take time off &mdash; Thanksgiving, Christmas, Memorial Day, Labor Day, and the rest. This isn't a perk we bolted on; it's how the job works.
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 Requirements
 
 
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 B.Pharm or PharmD degree from an accredited Egyptian university.
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 2+ year of experience in community pharmacy, clinical pharmacy, pharmaceutical customer service, or US-facing healthcare BPO. New graduates with strong English and customer orientation will be considered.
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 Fluent written and spoken English. Neutral accent preferred; clarity and warmth required.
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 Willingness and ability to work US Pacific Time hours
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 US holiday calendar. This team observes US federal holidays, not Egyptian holidays. You'll work on Egyptian public holidays when they don't overlap with US ones, and you'll be off when the US is off (Thanksgiving, Christmas Eve/Day, New Year's Day, 4th of July, Memorial Day, Labor Day, and similar).
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 Strong comfort with modern tools &mdash; CRM, task management, communication platforms &mdash; and an AI-forward mindset. Care Partners work alongside AI daily.
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 Detail-oriented, process-disciplined, and calm under pressure.
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 Stable home internet, quiet workspace, and a dedicated laptop setup suitable for remote voice work.
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 Based in Egypt with valid work authorization.
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 </ul>
 
 
 
 
 
 Nice to Have
 
 
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 Prior experience serving US clients (healthcare BPO, medical tourism, telehealth).
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 Familiarity with US pharmacy workflows, US drug brand names, and US insurance basics.
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 Experience in a Primary/Secondary account coverage model or named-account service model.
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 </ul>
 
 
 
 
 
 Benefits
 
 
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 Base salary: $700 USD/month, plus monthly performance bonus up to $400/month based on operational KPIs
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 US holiday calendar &mdash; you're off when your facilities are off (Thanksgiving, Christmas, Memorial Day, Labor Day, and more).
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 Health benefits and paid time off.
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 </ul>
</div>

Provider & Care Operations Specialist

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