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Smart Bricks

<div>
 
 
 About Us:
 
 
 
 At Smart Bricks, we make residential real estate buying easier and smarter with our industry-leading technology. Our platform uses advanced AI technology to help buyers find the best deals quickly and with less effort, and ultimately give them the confidence they need to make better buying decisions.
 
 
 We&rsquo;re the only PropTech to be backed by some of the world&rsquo;s biggest names in tech and real estate, the likes of NVIDIA, Google, Microsoft, and experts from Zillow, Airbnb, and OpenAI.
 
 
 
 
 
 
 Role Overview:
 
 
 
 We are looking for a talented
 
 AI Engineer
 
 to join our growing team. As an AI Engineer at Smart Bricks, you will be responsible for designing, building, and deploying the machine learning and generative AI systems that power our real estate intelligence platform. You will work closely with our product, backend, and data teams to develop end-to-end ML pipelines, integrate models into production, and ensure they perform reliably and at scale. This role requires strong technical expertise in modern AI/ML frameworks, a deep understanding of the full machine learning lifecycle, and a passion for applying AI to transform how real estate investment decisions are made.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 
 AI Model Development:
 
 Design, build, and deploy machine learning and generative AI models that power Smart Bricks&rsquo; underwriting automation, market analysis, document intelligence, investment screening, and portfolio analytics features.
 </li>
 <li>
 
 End-to-End ML Systems:
 
 Develop scalable ML pipelines that include data preprocessing, feature engineering, model training, evaluation, deployment, and real-time monitoring.
 </li>
 <li>
 
 Product Integration:
 
 Work closely with data engineers, product managers, and backend engineers to integrate models seamlessly into platform workflows and customer-facing applications.
 </li>
 <li>
 
 Performance, Efficiency &amp; Scalability:
 
 Optimize models for accuracy, latency, reliability, and cost &mdash; ensuring they can scale across asset classes, markets, and large datasets.
 </li>
 <li>
 
 ML Infrastructure:
 
 Build and maintain AI infrastructure such as model registries, feature stores, evaluation frameworks, and automated retraining workflows.
 </li>
 <li>
 
 AI Safety &amp; Reliability:
 
 Implement robust testing, guardrails, monitoring, and evaluation practices to ensure model quality, stability, fairness, and responsible AI behavior.
 </li>
 </ul>
 
 
 
 
 
 Requirements:
 
 
 <ul>
 <li>
 Proven experience as an
 
 AI Engineer, Machine Learning Engineer, or similar role
 
 , with strong proficiency in Python and modern ML frameworks (e.g., PyTorch, TensorFlow, JAX).
 </li>
 <li>
 Experience building and deploying ML models in
 
 production
 
 , ideally in data-heavy or analytics-focused environments.
 </li>
 <li>
 Familiarity with real-estate-related datasets is a plus (listings, transactions, valuations, documents, geospatial data, etc.).
 </li>
 <li>
 Experience with
 
 cloud platforms
 
 (AWS, GCP, or Azure) and containerization/orchestration (Docker, Kubernetes).
 </li>
 <li>
 Strong understanding of
 
 machine learning algorithms, deep learning architectures, embeddings, LLMs, and vector databases
 
 .
 </li>
 <li>
 Experience working with
 
 large datasets
 
 , distributed training, and performance optimization.
 </li>
 <li>
 Proficiency with
 
 CI/CD
 
 , version control (Git), and automated testing frameworks for ML systems.
 </li>
 <li>
 Strong problem-solving ability, attention to detail, and comfort working in a fast-paced, product-driven startup environment.
 </li>
 <li>
 A passion for applying AI to transform how real estate investment decisions are made.
 </li>
 </ul>
 
 
 
 
 
 Why Join Us?
 
 
 <ul>
 <li>
 Impact: Shape the data infrastructure of a platform redefining real estate investing.
 </li>
 <li>
 Ownership: Be a key part of a fast-growing startup and own significant projects from day one.
 </li>
 <li>
 Innovation: Work on cutting-edge technology and deliver real-world impact.
 </li>
 <li>
 Support: Join a team backed by world-class investors and leaders in technology.
 </li>
 </ul>
 
 
 
 
 If you&rsquo;re passionate about building innovative products and excited to shape the future of real estate investing, we&rsquo;d love to hear from you!
 
 
 
 
</div>

AI Engineer

Interact Technology Solutions

<div>
 
 &reg; Job Summary:
 
 
 
 
 
 
 The AI Engineer will be responsible for building practical and scalable GenAI applications&mdash;including chatbots, RAG systems, and AI agents&mdash;supported by reliable data pipelines and rigorous evaluation frameworks. The role focuses on delivering high-quality, production-ready AI solutions that meet enterprise needs.
 
 
 
 
 
 
 &reg; Accountability &amp; Responsibilities
 
 
 
 
 
 
 &middot; Develop end-to-end GenAI applications, including chatbots, RAG systems, and autonomous agents.
 
 
 
 &middot; Build and maintain data pipelines, embeddings, and vector search infrastructure.
 
 
 
 &middot; Conduct prompt engineering, testing, and evaluation to improve model performance.
 
 
 
 &middot; Implement and integrate REST/GraphQL APIs for backend and frontend interfaces.
 
 
 
 &middot; Create rapid prototypes and proof-of-concept (POC) applications for internal and client use.
 
 
 
 &middot; Ensure clean, maintainable code and deliver comprehensive documentation.
 
 
 
 &middot; Collaborate with data teams, product teams, and senior AI architects to refine solutions.
 
 
 
 &middot; Monitor system performance, troubleshoot issues, and apply continuous improvements.
 
 
 
 &middot; Follow governance, security, and compliance requirements for AI deployments.
 
 
 
 
 
 Requirements
 
 
 
 
 1
 
 &ndash; Required Experience
 
 
 &middot; Bachelor&rsquo;s degree in Computer Science, Engineering, or related field.
 
 <ul>
 <li>
 3&ndash;6 years of experience in AI software engineering, ML engineering, or data engineering.
 
 </li>
 <li>
 Delivered at least two AI applications into production.
 
 </li>
 </ul>
 
 
 2
 
 &ndash; Technical Skills:
 
 
 <ul>
 <li>
 Strong proficiency in
 
 Python, LangChain, LlamaIndex, and vector databases (Qdrant, Milvus).
 
 
 </li>
 <li>
 
 
 Hands-on experience with
 
 embeddings, similarity search, and RAG pipelines.
 
 
 </li>
 <li>
 
 
 Strong foundations in prompt engineering and model evaluation.
 
 </li>
 <li>
 
 
 Ability to design and integrate
 
 REST/GraphQL APIs.
 
 
 </li>
 <li>
 
 
 Basic front-end development experience for
 
 POCs (React, HTML/CSS, or similar).
 
 
 </li>
 <li>
 Familiar with
 
 Git/GitHub, Docker, Jupyter/VS Code, and Postman.
 
 
 </li>
 </ul>
 
 
 3
 
 &ndash; Certifications:
 
 
 <ul>
 <li>
 
 NVIDIA AI Developer
 
 (Preferred)
 
 </li>
 <li>
 
 Cloud AI Architect &ndash; Azure / AWS / GCP
 
 (Plus)
 
 
 
 
 
 
 </li>
 </ul>
</div>

700apps

<div>
 700Apps is actively seeking a talented and experienced Senior AI Scientist to join our esteemed team. In this pivotal role, you will be responsible for advancing our artificial intelligence initiatives through rigorous research, model development, and the application of cutting-edge technologies. Your expertise will play a crucial role in shaping innovative AI solutions that address complex challenges and drive business outcomes.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Conduct extensive research in artificial intelligence and machine learning to develop state-of-the-art models that can be applied to various domains within the organization
 </li>
 <li>
 Design and implement robust AI algorithms and frameworks, ensuring scalability and efficiency in model performance
 </li>
 <li>
 Collaborate with cross-functional teams including data engineers, software developers, and business analysts to translate business needs into technical solutions
 </li>
 <li>
 Lead the development of advanced proofs of concept (POCs) and prototypes to demonstrate the potential of AI technologies to stakeholders
 </li>
 <li>
 Evaluate and refine existing models, implementing best practices to enhance their accuracy and reliability
 </li>
 <li>
 Stay abreast of the latest trends and advancements in AI research, providing thought leadership and insights to the team and the organization
 </li>
 <li>
 Document methodologies, findings, and insights to foster knowledge sharing and ensure reproducibility of results
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field, with a strong research background
 </li>
 <li>
 5+ years of relevant experience in designing and developing AI models, particularly in natural language processing and large-scale machine learning applications
 </li>
 <li>
 Proficiency in programming languages such as Python and R, along with extensive experience using AI frameworks (e.g., TensorFlow, PyTorch, Keras)
 </li>
 <li>
 Strong understanding of statistical analysis, data mining techniques, and computational methods
 </li>
 <li>
 Demonstrated ability to work on complex datasets and develop accurate predictive models
 </li>
 <li>
 Exemplary problem-solving skills and capacity to work collaboratively in a fast-paced environment
 </li>
 <li>
 Excellent communication skills, with the ability to convey complex technical concepts to non-technical stakeholders
 </li>
 <li>
 Publications in reputable AI conferences or journals are an advantage
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Private Health Insurance
 </li>
 <li>
 Training &amp; Development
 </li>
 <li>
 Attractive Salary
 </li>
 <li>
 Social Insurance
 </li>
 <li>
 Family Package
 </li>
 </ul>
</div>

Senior AI Scientist

Andela

<div>
 
 Andela exists to connect brilliance and opportunity. Since 2014, we have been dedicated to breaking down global barriers and accelerating the future of work for both technologists and organizations around the world. For technologists, Andela offers competitive long-term career opportunities with leading organizations, access to a global community of professionals, and educational opportunities with leading technology providers.
 
 
 At Andela, we&rsquo;re deeply passionate about creating long-lasting and transformative growth opportunities for all - and doing it in an E.P.I.C. way! We&rsquo;re excited to continue building our remote-first team with incredible people like you. After applying for this role, you will join our Andela Community of brilliant technologists by passing a technical screening and live interview. As a community member, you&rsquo;ll have access to a multitude of exclusive technologist roles.
 
 
 Join Andela today to access this opportunity and more in our global marketplace!
 
 
 Our roles are typically filled at lightning speed, so if you&rsquo;re considering applying, get your application in quickly!
 
 
 
 
 
 
 About the client
 
 
 
 A leading financial institution in Egypt that offers a wide range of banking products and services to individuals, corporations, and institutions. The company focuses strongly on innovation, customer service, and digital transformation, aiming to support economic growth and deliver value through modern financial solutions and a nationwide branch network.
 
 
 
 
 
 
 About the role
 
 
 
 This is a technical leadership position responsible for applying advanced analytics, machine learning, GenAI, and statistical modeling to address complex business problems. The Lead Data Scientist will develop predictive models and algorithms, deliver deep data insights, and oversee data-driven solutions from concept to production. The role involves leading and mentoring a team of data scientists, collaborating across functions, and ensuring that projects align with business goals.
 
 
 
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Design, develop, and deploy machine learning models, AI algorithms, and statistical analyses for business challenges (e.g., predictive analytics, recommendation systems, hyper-personalization, fraud detection).
 </li>
 <li>
 Lead a team of data scientists, providing technical guidance and mentoring on model development, experimentation, and implementation.
 </li>
 <li>
 Partner with Product, Engineering, Delivery, and Business teams to integrate data science solutions into production systems.
 </li>
 <li>
 Identify relevant datasets, perform data mining, and ensure data quality for modeling.
 </li>
 <li>
 Communicate insights and model outcomes to both technical and non-technical stakeholders to inform business decisions.
 </li>
 <li>
 Define project roadmaps from ideation to production deployment and monitoring, ensuring alignment with business objectives.
 </li>
 <li>
 Build predictive and prescriptive models (classification, regression, clustering, time-series, GenAI, etc.).
 </li>
 <li>
 Explore and pilot new methods, select appropriate modeling approaches (Deep Learning, NLP, GenAI, LLMs, XAI), and promote best practices.
 </li>
 <li>
 Describe AI models using Explainable AI techniques.
 </li>
 </ul>
 
 
 
 
 
 Must have skills
 
 
 <ul>
 <li>
 BSc in Computer Science, Information Technology, Computer Engineering or related field.
 </li>
 <li>
 7+ years of experience leading projects and teams of data science.
 </li>
 <li>
 Experience in delivering similar projects in the banking sector.
 </li>
 <li>
 Proficiency in Python (or R), SQL, and ML frameworks (TensorFlow, PyTorch, Scikit-Learn).
 </li>
 <li>
 MUST: Experience deploying models in production environments, not only solution development.
 </li>
 <li>
 Preferred: Master&rsquo;s or Diploma in Data Science, Statistics, Applied Mathematics, or related field.
 </li>
 <li>
 Fluency in Arabic and English.
 </li>
 </ul>
 
 
 
 
 
 Conditions
 
 
 <ul>
 <li>
 Hybrid role &mdash; requires being on-site in New Cairo, Egypt, 3 times per week, with 8 hours of overlap with UTC+2.
 </li>
 <li>
 Contractor role &mdash; 12-month contract, renewable.
 </li>
 <li>
 Full-time dedication (40 hours/week).
 </li>
 <li>
 BYOD (bring your own device) required.
 </li>
 </ul>
 
 
 
 
 At Andela, we know our strengths lie in our diverse community whose talents, perspectives, backgrounds, and orientations we take pride in. Andela is committed to nurturing a work environment where all individuals are treated with respect and dignity. Everyone has the right to work in a professional atmosphere that promotes equal employment opportunities and prohibits discriminatory practices.
 
 
 Andela provides equal employment opportunities to all employees and applicants without regard to factors including but not limited to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, pregnancy (including breastfeeding), genetic information, HIV/AIDS or any other medical status, family or parental status, marital status, amnesty or status as a covered veteran in accordance with applicable federal, state and local laws. This commitment applies to all terms and conditions of employment, including but not limited to hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Our policies expressly prohibit any form of harassment and/or discrimination, as stated above.
 
 
 
</div>

Lead Data Scientist

Talent 360 ME

<div>
 
 Vezloo AI is Hiring &ndash; IT &amp; Cybersecurity Engineer (100% Remote)
 
 
 
 Vezloo AI is expanding its technical team and we are looking for a skilled
 
 IT &amp; Cybersecurity Engineer
 
 to support our infrastructure, ensure system stability, and maintain high security standards across all environments. This is a
 
 full-time, 100% remote
 
 position.
 
 
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 Monitor, maintain, and troubleshoot IT systems, networks, and cloud environments.
 </li>
 <li>
 Implement and manage cybersecurity measures, including firewalls, access controls, and security tools.
 </li>
 <li>
 Conduct vulnerability assessments and support incident response activities.
 </li>
 <li>
 Ensure data protection, compliance, and secure configuration of all systems.
 </li>
 <li>
 Provide technical support to internal teams and handle IT-related inquiries.
 
 
 
 </li>
 </ul>
 
 Requirements:
 
 
 
 <ul>
 <li>
 Proven experience in IT support, network management, or cybersecurity.
 </li>
 <li>
 Strong understanding of security protocols, risk management, and system administration.
 </li>
 <li>
 Hands-on experience with security tools, monitoring systems, and cloud platforms.
 </li>
 <li>
 Ability to troubleshoot technical issues efficiently in a remote environment.
 </li>
 <li>
 Relevant certifications are a plus (e.g., CompTIA Security+, CEH, CCNA, etc.).
 
 
 
 </li>
 </ul>
 If you're passionate about technology and committed to maintaining secure, efficient systems, we&rsquo;d love to hear from you.
</div>

IT & Cybersecurity Engineer- Remote

<div>
 
 
 Line of Service
 
 
 Advisory
 
 
 
 
 Industry/Sector
 
 
 Technology
 
 
 
 
 Specialism
 
 
 Advisory - Other
 
 
 
 
 Management Level
 
 
 Senior Associate
 
 
 
 
 Job Description &amp; Summary
 
 
 A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.
 
 
 As part of our Data Science and Machine Learning team, you will design, build, and optimize systems for data collection, storage, access, and analytics at scale. This includes Machine Learning, Deep Learning, and Artificial Intelligence Model Design and Construction, responsible for developing, programming and training the complex networks of algorithms that make up Machine Learning, Deep Learning, and Artificial Intelligence to develop applications and systems. You will work on client engagements related to research and development across a wide range of domains including understanding and improving Machine Learning, Deep Learning, and Artificial Intelligence, addressing bias and fairness in algorithms, embodied and interactive solutions on GCP, Azure and AWS.
 
 
 
 To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future.
 
 
 As a Senior Associate, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to:
 
 
 
 
 Your responsibilities will include but may not be limited to:
 
 
 
 <ul>
 <li>
 
 Building and maintaining in-depth understanding of machine learning concepts across all areas, in particular; supervised, unsupervised, reinforcement learning and large language models.
 
 
 </li>
 <li>
 
 Writing Python / R code to create, tune and validate models.
 
 
 </li>
 <li>
 
 Optimising code and infrastructure for machine learning performance.
 
 
 </li>
 <li>
 
 Consulting with clients on business issues, often explaining complex technical concepts to non-technical people.
 
 
 </li>
 <li>
 
 Creation of novel visualisations and explanations to demonstrate our work.
 
 
 </li>
 <li>
 
 Researching new products, tools and techniques to assist with advancing our machine learning and data science capability.
 
 
 
 </li>
 </ul>
 
 Technical Skills:
 
 
 <ul>
 <li>
 
 Data transformation and modelling (e.g. pandas and scikit-learn in Python);
 
 
 </li>
 <li>
 
 Data storage and querying (e.g. SQL);
 
 
 </li>
 <li>
 
 Understanding of common data quality issues and they effect they have on machine learning models;
 
 
 </li>
 <li>
 
 Data cleansing and manipulation for machine learning (e.g. feature engineering);
 
 
 </li>
 <li>
 
 Dimensionality reduction techniques (e.g. principal component analysis);
 
 
 </li>
 <li>
 
 Hyperparameter optimization approaches for a range of models;
 
 
 </li>
 <li>
 
 Use of Large language models for natural language processing;
 
 
 </li>
 <li>
 
 Experience with financial / general ledger data;
 
 
 </li>
 <li>
 
 Knowledge of the current data science software platforms;
 
 
 </li>
 <li>
 
 Knowledge of Generative AI and concepts such as retrieval augmented generation.
 
 
 
 </li>
 </ul>
 
 Soft Skills:
 
 
 <ul>
 <li>
 
 The ability to come up with creative solutions to complex problems;
 
 
 </li>
 <li>
 
 Exceptional analytical and technical aptitude;
 
 
 </li>
 <li>
 
 Exceptional attention to detail;
 
 
 </li>
 <li>
 
 The ability to manage time, prioritise tasks and work under tight deadlines;
 
 
 </li>
 <li>
 
 The ability to work independently with little supervision, but integrate well into teams;
 
 
 </li>
 <li>
 
 Concise and clear communication when presenting and explaining results and findings.
 
 
 </li>
 <li>
 
 Naturally inquisitive
 
 
 </li>
 <li>
 
 Analytical mindset
 
 
 
 </li>
 </ul>
 
 
 Required Skills
 
 
 
 
 
 Optional Skills
 
 
 Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Artificial Intelligence, Big Data, C++ Programming Language, Communication, Complex Data Analysis, Creativity, Data-Driven Decision Making (DIDM), Data Engineering, Data Lake, Data Mining, Data Modeling, Data Pipeline, Data Quality, Data Science, Data Science Algorithms, Data Science Troubleshooting, Data Science Workflows, Deep Learning, Embracing Change, Emotional Regulation, Empathy {+ 17 more}
 
 
 
 
 
 Desired Languages
 
 
 
 
 (If blank, desired languages not specified)
 
 
 
 
 
 
 Travel Requirements
 
 
 Not Specified
 
 
 
 
 Available for Work Visa Sponsorship?
 
 
 Yes
 
 
 
 
 Government Clearance Required?
 
 
 No
 
 
 
 
 Job Posting End Date
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
</div>

ETIC, Data science - Senior Associate

Sitech

<div>
 
 About Sitech
 
 
 
 Sitech is a global digital solutions provider with over 100 professionals delivering cutting-edge products, services, and experiences. We partner with enterprises, startups, and government entities to drive innovation through product discovery, experience design, and custom software development.
 
 
 We are seeking an
 
 experienced Senior .NET Software Engineer
 
 to join our engineering team. In this role, you will design and build secure, high-performance, and scalable API solutions that power mission-critical systems in collaboration with government entities and large-scale enterprises.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design, develop, and maintain enterprise-grade APIs using C# / .NET 9.
 </li>
 <li>
 Build and optimize microservices architectures leveraging Aspire .NET.
 </li>
 <li>
 Ensure solutions comply with security, compliance, and performance standards.
 </li>
 <li>
 Participate in software architecture design, code reviews, and documentation.
 </li>
 <li>
 Implement secure integrations while maintaining high availability and scalability for government-level systems.
 </li>
 <li>
 Collaborate with cross-functional teams including product managers, architects, and DevOps engineers.
 
 
 </li>
 </ul>
 
 Required Qualifications
 
 
 
 <ul>
 <li>
 5+ years of professional experience in C# / .NET API development.
 </li>
 <li>
 Strong understanding of REST API design, Entity Framework Core, and relational databases (SQL Server / PostgreSQL).
 </li>
 <li>
 Experience with cloud platforms (Azure/AWS), containerization (Docker), and orchestration (Kubernetes).
 </li>
 <li>
 Solid knowledge of secure coding practices, identity management, and API security standards (OAuth2, JWT, etc.).
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Exposure to AI-powered development, including AI agents and Model Context Protocol (MCP) integration.
 </li>
 <li>
 Hands-on experience with Azure AI Services, ML.NET, or other AI/ML frameworks.
 </li>
 <li>
 Knowledge of event-driven architectures (Kafka, RabbitMQ).
 </li>
 <li>
 Previous experience working on government or highly regulated sector projects.
 </li>
 </ul>
</div>

Senior .NET Software Engineer

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ETIC, Data science - Senior Associate

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