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architecture engineer – lead -section 5 Jobs in Cairo

senior engineering team leader

Deloitte

<div>
 
 Data Engineering, Senior Tech Lead, Cairo, Egypt
 
 
 
 
 Connect to your career at Deloitte
 
 
 
 Deloitte, established globally in 1845, is the world&rsquo;s largest and leading professional services firm, providing Audit &amp; Assurance, Tax &amp; Legal and Consulting and related services to public and private clients spanning multiple industries. Present in more than 150 countries, Deloitte is distinct in its ability to help clients solve their most complex problems, from strategy to implementation.
 
 
 Deloitte innovation hub (DIH) is a strategic initiative established to support our ambition to become the leading business transformation partner of choice for our clients and to expand and scale our delivery footprint across EMEA. With access to a scaled, diverse, highly skilled, motivated, and engaged workforce, DIH is delivering complex technical solutions for clients&rsquo; most complex business problems, across portfolios that include &lsquo;Strategy &amp; Transactions&rsquo;, &lsquo;Customer&rsquo;, &lsquo;Engineering, AI &amp; Data, &lsquo;Enterprise, Technology &amp; Performance&rsquo; and &lsquo;Cyber&rsquo;. DIH is aiming to become the destination for top talents in Egypt for a long, exciting career.
 
 
 We invest in outstanding people of diverse talents and backgrounds and empower them to achieve more than they could elsewhere. Our work combines advice with action and integrity. We believe that when our clients and society are stronger, so are we. Our organization has grown in scale and diversity, providing services across the region, with our shared culture remaining the same. We aim to help clients realize their ambitions, make a positive difference in society, and maximize the success of our people. This drive fuels the commitment and humanity that run deep through our every action.
 
 
 
 Connect to your opportunity
 
 
 
 <ul>
 <li>
 Problem-solving skills: Demonstrates the ability to identify and solve complex problems using a structured and logical approach.
 </li>
 <li>
 Systems engineering: You should have experience in managing functional and non-functional requirements and have a deep understanding of systems engineering methodologies.
 </li>
 <li>
 Stakeholder management: Demonstrates the ability to build and maintain positive relationships with stakeholders, and to effectively communicate technical concepts to non-technical audiences.
 </li>
 <li>
 Organizational skills: Is highly organized and efficient and has a proven ability to manage multiple projects simultaneously.
 </li>
 <li>
 Creativity and innovation: Are able to think creatively and come up with new solutions to problems.
 </li>
 <li>
 Communication skills: Is able to communicate effectively with technical and non-technical audiences, both verbally and in writing.
 
 
 </li>
 </ul>
 
 Connect To Your Skills And Professional Experience
 
 
 
 <ul>
 <li>
 10+ years of experience in data engineering
 
 
 </li>
 </ul>
 
 Technical Skills
 
 
 
 <ul>
 <li>
 Cloud computing platforms: AWS/Azure/GCP
 </li>
 <li>
 Programming languages: Python/Java/Scala &amp; Unix Shell scripting
 </li>
 <li>
 Data warehouse technologies: Redshift/Snowflake/Big Query
 </li>
 <li>
 Data lake technologies: Hadoop, Apache Beam, Spark, and Hive
 </li>
 <li>
 Orchestration: Airflow/Control-M/(Any Orchestration tool)
 </li>
 <li>
 Machine learning frameworks: TensorFlow, PyTorch, and scikit-learn
 
 
 </li>
 </ul>
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Lead a team of data engineers in the design, development, and implementation of data engineering solutions.
 </li>
 <li>
 Gather requirements from stakeholders and translate them into technical specifications.
 </li>
 <li>
 Design and implement data pipelines to collect, transform, and load data into data warehouses and data lakes.
 </li>
 <li>
 Maintain and optimize data systems to ensure high availability and performance.
 </li>
 <li>
 Work with other engineering teams to integrate data engineering solutions with other systems.
 </li>
 <li>
 Stay up to date on the latest data engineering technologies and trends.
 
 
 </li>
 </ul>
 
 Connect to your service line - Technology and Transformation
 
 
 
 Distinctive thinking, deep expertise, and collaborative working. That&rsquo;s what connects us. That&rsquo;s what makes us Deloitte. If you want to help solve some of the biggest challenges around, join us. Together, we&rsquo;ll make an impact that matters.
 
 
 
 Personal independence
 
 
 
 Regulation and controls are standard practice in our industry and Deloitte is no exception. These controls provide important legal protection for both you and the firm. We are subject to several audit regulations, one of which requires that certain colleagues abide by specific personal independence constraints. This can mean that you and your "Immediate Family Members" are not permitted to hold certain financial interests (shares, funds, bonds etc.) with audit clients of the firm. The recruitment team will provide further detail as you progress through the recruitment process.
 
 
 
 Connect to your Industry
 
 
 
 &ldquo;What attracted me to Deloitte were the endless opportunities and the collective experience of other like-minded individuals. Deloitte&rsquo;s clients include many of the world&rsquo;s largest organisations; I wanted to be part of a team that made a difference that I could be proud of.&rdquo;
 
 
 <ul>
 <li>
 Dan, Technology &amp; Transformation
 
 
 </li>
 </ul>
 
 Our commitment to you
 
 
 
 Making an impact is more than just what we do: it&rsquo;s why we&rsquo;re here. So we work hard to create an environment where you can experience a purpose you believe in, the freedom to be you, and the capacity to go further than ever before.
 
 
 We want you. The true you. Your own strengths, perspective, and personality. So, we&rsquo;re nurturing a culture where everyone belongs, feels supported and heard, and is empowered to make a valuable, personal contribution. You can be sure we&rsquo;ll take your wellbeing seriously, too. Because it&rsquo;s only when you&rsquo;re comfortable and at your best that you can make the kind of impact you, and we, live for.
 
 
 Your expertise is our capability, so we&rsquo;ll make sure it never stops growing. Whether it&rsquo;s from the complex work you do, or the people you collaborate with, you&rsquo;ll learn every day. Through world-class development, you&rsquo;ll gain invaluable technical and personal skills. Whatever your level, you&rsquo;ll learn how to lead.
 
 
 
 Connect to your next step
 
 
 
 A career at Deloitte is an opportunity to develop in any direction you choose. Join us and you&rsquo;ll experience a purpose you can believe in and an impact you can see. You&rsquo;ll be free to bring your true self to work every day. And you&rsquo;ll never stop growing, whatever your level.
</div>

Deloitte Innovation Hub | Data Engineering, Senior Tech Lead, Cairo, Egypt

ElDiheby Import, Export & Trading Agencies (LLC)

<div>
 
 
 Head of Sales -
 
 
 Eldiheby
 
 
 
 A rare opportunity to take full ownership of a company&rsquo;s entire commercial function.
 
 
 
 
 
 Reporting directly to the CEO, the Head of Sales will lead Eldiheby&rsquo;s sales organization, define commercial strategy, and drive the next phase of growth across all business segments.
 
 
 
 
 
 We are looking for a senior sales leader who can build structure, develop people, and translate strategy into consistent revenue performance, shaping how Eldiheby grows in the years ahead.
 
 
 
 
 
 ElDiheby Import, Export &amp; Trading Agencies (LLC) is an Egyptian engineering solutions company specializing in water, pumping, and industrial applications. We work with leading global partners such as Grundfos and ABB Motion, delivering reliable solutions across infrastructure, construction, agriculture, and industrial sectors.
 
 
 
 
 
 
 Role Description
 
 
 
 The Head of Sales will lead Eldiheby&rsquo;s complete sales organization, reporting directly to the CEO and taking ownership of the company&rsquo;s commercial growth strategy.
 
 
 
 
 
 This role is responsible for developing and executing sales strategies, building a high-performing sales organization, expanding market opportunities, and driving sustainable revenue growth across all business segments.
 
 
 
 
 
 The ideal candidate is a strategic sales leader who can combine market understanding with strong execution, creating structure, improving performance, developing people, and strengthening Eldiheby&rsquo;s position in the market.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Own and drive Eldiheby&rsquo;s overall sales strategy and revenue growth objectives
 </li>
 <li>
 Lead, coach, and develop the sales team to achieve ambitious business targets
 </li>
 <li>
 Establish effective sales processes, KPIs, forecasting, and performance management systems
 </li>
 <li>
 Build and strengthen relationships with key customers, consultants, contractors, and strategic partners
 </li>
 <li>
 Identify new market opportunities and develop growth initiatives
 </li>
 <li>
 Manage strategic accounts and major business opportunities
 </li>
 <li>
 Analyze market trends, customer needs, and sales performance to guide decision-making
 </li>
 <li>
 Collaborate with management, operations, and supplier partners to ensure alignment and customer satisfaction
 </li>
 <li>
 Represent Eldiheby in key industry events, exhibitions, and customer engagements
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 10+ years of experience in B2B sales, with significant experience in leadership roles
 </li>
 <li>
 Proven track record of building sales teams and achieving revenue growth
 </li>
 <li>
 Experience in industrial products, engineering solutions, water, infrastructure, or related sectors preferred
 </li>
 <li>
 Strong understanding of project-based sales and long-term customer relationship management
 </li>
 <li>
 Excellent leadership, negotiation, and communication skills
 </li>
 <li>
 Ability to create structure, processes, and accountability within a sales organization
 </li>
 <li>
 Bachelor&rsquo;s degree in engineering, or a related field; an advanced degree or MBA is an advantage
 </li>
 <li>
 Strong English and Arabic communication skills
 </li>
 <li>
 Experience with CRM systems, sales analytics, and reporting tools
 </li>
 </ul>
 
 
 
 
 
 Why Join ElDiheby
 
 
 <ul>
 <li>
 Direct leadership role reporting to the CEO
 </li>
 <li>
 Opportunity to shape and build the company&rsquo;s sales organization
 </li>
 <li>
 Ownership of commercial growth and strategic direction
 </li>
 <li>
 Work with leading international technology partners
 </li>
 <li>
 Opportunity to create measurable impact in a growing organization
 </li>
 </ul>
 
 
 
 
 
 Compensation &amp; Benefits
 
 
 
 We offer a competitive executive-level compensation package designed to attract a high-impact sales leader.
 
 
 
 
 <ul>
 <li>
 Competitive base salary aligned with senior leadership responsibilities
 </li>
 <li>
 Performance-based bonus structure linked directly to revenue and growth targets
 </li>
 <li>
 Significant upside potential for high performers
 </li>
 <li>
 Executive-level authority with direct reporting to the CEO
 </li>
 <li>
 Long-term growth opportunity within a scaling organization
 </li>
 </ul>
 
 
 
 
 
 Employment Details
 
 
 
 Location: Cairo, Egypt (on-site)
 
 
 Employment Type: Full-time
 
 
 Seniority Level: Director / Executive
 
</div>

Head of Sales

Siemens

<div>
 
 About Brightly
 
 
 
 Brightly is a global leader in intelligent, cloud‑based asset lifecycle management, empowering 12,000+ clients with predictive insights to optimize maintenance, energy, and capital planning&mdash;backed by Siemens. Our products help schools, hospitals, cities, and manufacturers keep critical infrastructure running efficiently and sustainably.
 
 
 
 The Opportunity
 
 
 
 We&rsquo;re looking for a Senior Machine Learning Engineer to lead LLM‑powered application development&mdash;from prototype to production&mdash;on AWS. You&rsquo;ll design robust ML/LLM services that power search, recommendations, copilots, and workflow automation in Brightly&rsquo;s platform, partnering closely with product, data, and engineering teams. Responsibilities and skill expectations reflect current industry practice for senior ML/LLM engineers, including end‑to‑end model lifecycle ownership, production‑grade code, and MLOps.
 
 
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Build LLM applications: Design and implement RAG pipelines, prompt orchestration, tools/agents, safety/guardrails, and evaluation harnesses; instrument for latency, cost, and quality. (Guided by current LLM engineer role practices.)
 </li>
 <li>
 Own the ML lifecycle: Data curation, feature engineering, training/fine‑tuning (LoRA/QLoRA), A/B testing, deployment, monitoring, and continuous improvement of models and prompts.
 </li>
 <li>
 Productionize on AWS: Ship scalable services on EKS/ECS/Lambda; leverage SageMaker, Bedrock, EMR, MSK, Step Functions; apply observability (CloudWatch/OpenTelemetry) and cost controls. (Duties aligned to modern AWS ML roles.)
 </li>
 <li>
 Scale training &amp; inference: Use distributed training (FSDP/DeepSpeed), quantization, caching, vector databases, and GPU/Inferentia for performance and efficiency.
 </li>
 <li>
 MLOps &amp; governance: Establish CI/CD for models (MLflow/Kedro/SageMaker Pipelines), model/version registries, data and prompt lineage, evaluation gates, and responsible‑AI controls. (Aligned with contemporary MLOps templates.)
 </li>
 <li>
 Partner across Brightly: Translate asset‑management use cases into ML/LLM solutions; collaborate with product managers and UX to ship customer‑visible features that measurably improve reliability, safety, and sustainability.
 </li>
 <li>
 Mentor &amp; lead: Provide technical leadership, review designs/PRs, and raise the bar on ML engineering excellence across the team. (Common senior ML expectations.)
 </li>
 <li>
 Perform Exploratory Data Analysis (EDA) on structured, semi‑structured, and unstructured datasets to identify patterns, correlations, feature importance, and data quality issues.
 
 
 </li>
 </ul>
 (Consistent with ML engineer responsibilities to analyze data before model development.)
 
 
 <ul>
 <li>
 Conduct deep research on asset-related, operational, and domain-specific datasets to understand root causes, trends, and predictive signals.
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Bring
 
 
 
 
 Required experience
 
 
 
 <ul>
 <li>
 5&ndash;7 years total software/ML engineering experience, with 3+ years building and operating ML systems in production.
 </li>
 <li>
 1+ years hands‑on LLM application development (e.g., RAG, fine‑tuning, prompt engineering, evaluators/guardrails, agentic workflows) using packages such as Langchain and Langgraph.
 </li>
 <li>
 AWS proficiency (3+ years): Strong with core services (EKS/ECS, Lambda, S3, DynamoDB/RDS, Step Functions, IAM) and ML stack (SageMaker, Bedrock or HF on AWS). (Representative AWS ML role skills.)
 </li>
 <li>
 Modeling &amp; frameworks: Python, PyTorch, Hugging Face ecosystem; vector stores (e.g., OpenSearch, PGVector, Pinecone), embeddings, retrieval, and evaluation metrics for NLP/LLMs. (In line with senior LLM roles.)
 </li>
 <li>
 MLOps: CI/CD for ML, model registries, experiment tracking, telemetry/monitoring, automated retraining; Docker/Kubernetes, GitHub Actions/GitLab CI. (Current MLOps expectations.)
 </li>
 <li>
 Data engineering fluency: ETL/ELT, streaming/batch (Spark/Flink), data quality and governance controls for ML.
 
 
 </li>
 </ul>
 
 Nice to have
 
 
 
 <ul>
 <li>
 Experience with distributed training (FSDP, DeepSpeed), RLHF, or Inferentia/Trainium optimization.
 </li>
 <li>
 Exposure to sustainability/asset/intelligent operations domains.
 </li>
 <li>
 Familiarity with security &amp; compliance for ML systems in enterprise environments. (Frequently included in senior ML roles.)
 
 
 </li>
 </ul>
 How you&rsquo;ll work
 
 
 <ul>
 <li>
 Pragmatic and product‑oriented: You bias to measurable outcomes and iterate quickly with stakeholders. (Modern senior ML role framing.)
 </li>
 <li>
 Engineering excellence: You write production‑quality Python, design reliable APIs/services, and uphold testing/observability standards. (Common duties in senior templates.)
 </li>
 <li>
 Collaborative leadership: You mentor peers and influence architecture across teams. (Industry‑standard senior expectations.)
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s in CS/EE/Math or related field (Master&rsquo;s preferred) or equivalent practical experience. (Typical for senior ML roles.)
 
 
 </li>
 </ul>
 Join a mission‑driven team building technology that keeps communities running&mdash;safer, greener, and more resilient&mdash;at global scale. You&rsquo;ll pair startup‑speed product work with the reach and rigor of Siemens.
 
 
 
 The Brightly culture
 
 
 
 We&rsquo;re guided by a vision of community that serves the ambitions and wellbeing of all people, and our professional communities are no exception. We model that ideal every day by being supportive, collaborative partners to one another, conscientiously making space for our colleagues to grow and thrive. Our passionate team is driven to create a future where smarter infrastructure protects the environments that shape and connect us all. That brighter future starts with us.
</div>

Senior Machine Learning Engineer

Intellias

<div>
 
 
 Senior Python Engineer &ndash; Multi-Agent AI (AWS, LangGraph)
 
 
 
 
 
 
 
 About the Role
 
 
 
 We are looking for a
 
 Senior Python Engineer
 
 to design and build enterprise-grade
 
 multi-agent AI systems
 
 on AWS. In this role, you will architect and develop intelligent agent solutions using
 
 LangGraph
 
 ,
 
 LangChain
 
 , and
 
 AWS Bedrock AgentCore Runtime
 
 , focusing on scalable orchestration, stateful workflow execution, human-in-the-loop (HITL) processes, and distributed agent collaboration.
 
 
 You will work closely with architects, platform engineers, and product teams to deliver production-ready AI solutions that are reliable, scalable, and aligned with enterprise engineering standards.
 
 
 
 
 
 
 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. The engineering organization develops core platform components powering best-in-class eCommerce, Digital Marketing, and IoT solutions.
 
 
 As a
 
 Senior Python Engineer
 
 , you will join the
 
 Core Architecture Team
 
 , contributing to the design and implementation of a modern Digital Engineering Enterprise Platform.
 
 
 The platform consists of services and applications that accelerate software delivery by providing engineering teams with reusable technologies, standardized development practices, compliance controls, and operational capabilities across more than 700 enterprise applications.
 
 
 
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Design, develop, and maintain enterprise-grade multi-agent AI applications using Python, LangGraph, and LangChain.
 </li>
 <li>
 Build scalable agent workflows leveraging AWS Bedrock AgentCore Runtime.
 </li>
 <li>
 Implement advanced orchestration patterns, including supervisor/worker, fan-out/fan-in, and collaborative multi-agent architectures.
 </li>
 <li>
 Design stateful workflow execution using LangGraph checkpointing, recovery, and persistence mechanisms.
 </li>
 <li>
 Develop resilient, fault-tolerant, and idempotent execution strategies for long-running AI workflows.
 </li>
 <li>
 Integrate Human-in-the-Loop (HITL) approval processes into business-critical agent workflows.
 </li>
 <li>
 Enable agent delegation and collaboration through Agent Gateway and Agent-to-Agent (A2A) communication.
 </li>
 <li>
 Implement memory, context management, and persistence strategies for AI agents.
 </li>
 <li>
 Optimize workflow scalability, reliability, observability, and performance within distributed cloud environments.
 </li>
 <li>
 Collaborate with platform, security, DevOps, and product teams to deliver production-ready AI solutions.
 </li>
 <li>
 Define engineering standards, testing strategies, and operational best practices for agent-based applications.
 </li>
 <li>
 Support deployment, monitoring, troubleshooting, and continuous improvement of AI solutions running on AWS.
 </li>
 </ul>
 
 
 Requirements
 
 
 <ul>
 <li>
 Bachelor's degree in computer science, Software Engineering, or a related field.
 </li>
 <li>
 5+ years of professional Python software engineering experience.
 </li>
 <li>
 Hands-on experience building multi-step agent workflows with LangGraph.
 </li>
 <li>
 Strong experience with LangChain.
 </li>
 <li>
 Experience with AWS Bedrock AgentCore Runtime.
 </li>
 <li>
 Solid understanding of multi-agent orchestration patterns, including supervisor/worker and fan-out/fan-in architectures.
 </li>
 <li>
 Experience implementing LangGraph checkpointing and state management.
 </li>
 <li>
 Knowledge of Human-in-the-Loop (HITL) workflow design.
 </li>
 <li>
 Experience with Agent-to-Agent (A2A) delegation through Agent Gateway.
 </li>
 <li>
 Experience with workflow orchestration platforms such as Temporal, Apache Airflow, or similar.
 </li>
 <li>
 Strong understanding of distributed systems concepts, including checkpointing, idempotency, fault tolerance, and workflow recovery.
 </li>
 <li>
 Experience building scalable, cloud-native applications on AWS.
 </li>
 <li>
 Strong problem-solving, communication, and collaboration skills.
 </li>
 </ul>
 
 
 
 
 
 Nice to Have
 
 
 <ul>
 <li>
 Experience evaluating AWS AgentCore Runtime maturity and enterprise adoption.
 </li>
 <li>
 Hands-on experience with AWS Bedrock Memory API.
 </li>
 <li>
 Experience integrating enterprise approval workflows into Human-in-the-Loop AI systems.
 </li>
 <li>
 Experience with AI observability, monitoring, and production operations.
 </li>
 <li>
 Familiarity with CI/CD pipelines and Infrastructure as Code in AWS environments.
 </li>
 </ul>
 
 
 
 
 
 Why Join Us
 
 
 <ul>
 <li>
 Work on enterprise-scale AI initiatives for a global industry leader.
 </li>
 <li>
 Design and build next-generation multi-agent AI systems using cutting-edge AWS technologies.
 </li>
 <li>
 Influence architecture decisions and engineering best practices across large-scale platforms.
 </li>
 <li>
 Collaborate with highly experienced architecture and engineering teams on innovative cloud-native solutions.
 </li>
 <li>
 Opportunity to shape the future of enterprise AI orchestration in production environments.
 </li>
 </ul>
 
 
 
</div>

Senior Python Engineer – Multi-Agent AI (AWS, LangGraph)

Yassir

<div>
 
 Yassir
 
 is the leading super App in the Maghreb region set to changing the way daily services are provided. It currently operates in
 
 45 cities across Algeria, Morocco and Tunisia with recent expansions into France, Canada and Sub-Saharan Africa
 
 . It is backed (:
 
 $200M in funding
 
 ) by VCs from Silicon Valley, Europe and other parts of the world.
 
 
 We offer on-demand services such as ride-hailing and last-mile delivery. Building on this infrastructure, we are now introducing financial services to help our users pay, save and borrow digitally.
 
 
 Helping usher the continent into a digital economy era. We&rsquo;re not just about serving people - we&rsquo;re about creating a marketplace to bring people what they need while infusing social values.
 
 
 Yassir is seeking a highly skilled and motivated Senior Data Scientist, to join our Artificial Intelligence (AI) team and contribute to some of our key projects, such as Dynamic Pricing and Trip Dispatching. As a Data Scientist, you will play a crucial role in analyzing and modelling data to optimize our Machine Learning (ML) systems. Your expertise in both predictive modelling and software development will be essential in driving our solutions and providing value to Yassir. This is a very exciting opportunity, tackling some of Yassir&rsquo;s most critical problems.
 
 
 
 About The Team
 
 
 
 The AI team is part of Yassir&rsquo;s central Data &amp; AI domain, which is responsible for all data related activities in the organization - from Data Engineering, Data Platform management and Data Analytics all the way to AI solutions and MLOps infrastructure development. We are a global team of Data and AI / ML experts, encompassing diverse backgrounds and skills. We strive to build state-of-the-art Data and ML infrastructure and solutions, and ultimately a Data Culture supported by responsible and democratized data access, data-driven decision making and automation. We push the envelope of what&rsquo;s feasible, we challenge each other, we support each other, and we take great pride in our work. Most of all we are value-driven to create impact from our data solutions. If you have an inherent curiosity about the fields Data and AI, a relevant background and an internal zeal and drive to contribute, please come join us!
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Become an expert point of contact and thought leader on your scope by mastering the details and principles pertaining to it.
 </li>
 <li>
 Some key areas we have to focus include: optimizing our Pricing capabilities, such as Dynamic / Surge Pricing, Discounts / Commissioning Optimization and Personalized Pricing, optimizing our Dispatching capabilities, optimizing our Fraud Detection / Revenue Leakage Prevention capabilities, optimizing our Recommendations / Personalization capabilities, amongst others.
 </li>
 <li>
 Identify and propose ML opportunities related to your scope and beyond
 </li>
 <li>
 Support with requirements definition and prioritization of ML projects
 </li>
 <li>
 Collaborate with cross-functional Engineering and Product teams
 </li>
 <li>
 Champion Data Quality as a critical input component to all ML solutions and Analytics
 </li>
 <li>
 Conduct Exploratory Data Analysis and subsequent Feature Selection / Engineering
 </li>
 <li>
 Utilize Statistical and ML techniques, as appropriate, for model training
 </li>
 <li>
 Validate and tune ML models
 </li>
 <li>
 Visualize analysis / modelling results focusing on meaningful, actionable metrics and insights
 </li>
 <li>
 Deploy and test ML applications using our MLOps infrastructureMonitor ML models on their technical performance, business impact and underlying data / concept drift
 </li>
 <li>
 Explain technical solutions in a business-friendly manner, supporting Product teams in their communications and reporting
 </li>
 <li>
 Maintain and improve technical documentation of delivered solutions
 </li>
 <li>
 Support the Data &amp; AI domain in developing its technical capabilities, improving its ways of working and collaboration with other dependent teams
 </li>
 <li>
 Champion Data Culture, proactively share knowledge across teams, and participate and drive team building activities
 
 
 
 </li>
 </ul>
 
 Key Requirements - Essential
 
 
 
 <ul>
 <li>
 Solid Mathematical / Statistical / Machine Learning as well as Software Development technical skills - supported by a Masters degree or above in a relevant quantitative field such as Mathematics, Statistics, Data Science, Machine Learning, Operational Research, Computer Science, Software Engineering, Physics
 </li>
 <li>
 Comfortable in efficient, production quality Python and SQL coding at a professional setting with at least 2 years of industry experience (more years of experience would be required for more Senior roles)
 </li>
 <li>
 Comfortable with key software engineering concepts, such as code / memory profiling, code optimization, scalability, code / QA testing, cost optimization and associated best practices.
 </li>
 <li>
 Comfortable with key Statistical concepts, such as statistical testing and causal analysis
 </li>
 <li>
 Analytical thinking and problem solving skills
 </li>
 <li>
 Engineering mindset focused towards delivering robust applied data science solutions
 </li>
 <li>
 Visualization skills, including experience with common Python ecosystem libraries and/or Analytics / BI tooling
 </li>
 <li>
 Familiarity and prior use of Cloud solutions and their data / ML services - at Yassir we use Google Cloud Platform (GCP), experience with which is highly preferred
 </li>
 <li>
 Mastering of the end-to-end (ML) model development lifecycle
 </li>
 <li>
 Excellent communication skills, including presentation and oral / written communication (clear articulation, concise documentation) in professional English
 </li>
 <li>
 Positive attitude and resilience
 </li>
 <li>
 Strong interpersonal skills focused on peer support, empathy, active listening, team building and stakeholder relationships building
 </li>
 <li>
 Internal drive, self-motivation and ability to work independently including own effective project management
 
 
 
 </li>
 </ul>
 
 Nice to have
 
 
 
 <ul>
 <li>
 Experience with Financial Services companies
 </li>
 <li>
 Experience working on ML features for Digital Products (apps, websites)
 </li>
 <li>
 Experience with one or more from: Pricing / Economics related projects and/or modelling techniques (we welcome Economics / Econometrics backgrounds and experience), Fraud Detection related projects, Dispatching related projects, Personalization related projects
 
 
 
 </li>
 </ul>
 At Yassir, we believe in the power of diversity and the importance of an inclusive culture. So, if you're ready to bring your unique perspective and experiences to the table, then we're excited to listen.
 
 
 Don't just apply for a job, come and be a part of our journey. Let's create a better tomorrow together.
 
 
 We look forward to receiving your application!
 
 
 Best of luck,
 
 
 Your Yassir TA Team
 
 
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
</div>

Senior Data Scientist - Financial Services

Siemens Digital Industries Software

<div>
 Siemens Digital Industries Software is a leading provider of solutions for the design, simulation, and manufacture of products across many different industries. Formula 1 cars, skyscrapers, ships, space exploration vehicles, and many of the objects we see in our daily lives are being conceived and manufactured using our Product Lifecycle Management (PLM) software and hardware emulation.
 
 
 
 Position Overview
 
 
 
 This role provides a unique opportunity for a full-stack developer skilled in enterprise infrastructure operations. You will work as part of our global Platform Engineering team, simplifying self-service and operations for our global engineering infrastructure.
 
 
 
 Key Responsibilities
 
 
 
 As Senior Software Engineer with 13-15 years' experience, your responsibilities will include:
 
 
 <ul>
 <li>
 Backend services: Design, implement, and operate platform components with an emphasis on reliability, performance, and long-term maintainability
 </li>
 <li>
 APIs: Build and evolve and control-plane services using TypeScript and Go for internal and external consumers
 </li>
 <li>
 Product owner: Own features end-to-end, from technical design and implementation through production rollout, monitoring, and iterative improvement
 </li>
 <li>
 System design: Contribute to discussions, evaluating trade-offs between simplicity, scalability, and operational complexity
 </li>
 <li>
 Monitoring, Logging &amp; Alerting: Improve system operability by enhancing logging, metrics, alerting, and deployment workflows
 </li>
 <li>
 Code quality: Participate in code reviews and design discussions, maintaining high standards for code quality, testing, and documentation
 </li>
 <li>
 Infrastructure Design &amp; Implementation: Design, provisioning, and management of highly available, scalable, and secure cloud infrastructure (e.g., AWS, Azure, GCP, OpenStack) using Infrastructure as Code (IaC) principles
 </li>
 <li>
 Automation &amp; CI/CD: Develop, maintain, and optimize robust CI/CD pipelines (e.g., Jenkins, GitLab CI, Azure DevOps, Argo CD) to automate software delivery, testing, and deployment processes
 </li>
 <li>
 Containerization &amp; Orchestration: Design, implement, and manage containerized application platforms using Docker and Kubernetes, ensuring efficient resource utilization and operational stability
 
 
 </li>
 </ul>
 
 Technical Experience
 
 
 
 
 Backend &amp; Systems
 
 
 
 <ul>
 <li>
 Hands-on experience building backend services in Python/Go and TypeScript, including APIs, background workers, and internal platform tooling
 </li>
 <li>
 Practical understanding of distributed systems concepts such as failure handling, retries, idempotency, and eventual consistency
 
 
 </li>
 </ul>
 
 Frontend &amp; Full-Stack
 
 
 
 <ul>
 <li>
 Advanced TypeScript experience building and maintaining production-grade applications
 </li>
 <li>
 Experience with React and Next.js, including server-side rendering, API routes, and modern frontend architecture patterns
 </li>
 <li>
 Strong focus on developer experience and maintainable, scalable frontend codebases
 
 
 </li>
 </ul>
 
 APIs &amp; Developer Experience
 
 
 
 <ul>
 <li>
 Design and implementation of well-structured REST APIs with clear versioning, consistent error handling, and thorough documentation
 </li>
 <li>
 Development of internal tools, SDKs, and CLIs that improve developer productivity and reduce operational friction
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 13-15 years of professional, enterprise software engineering experience shipping and operating production systems
 </li>
 <li>
 Strong proficiency in TypeScript and Go in real-world production environments
 </li>
 <li>
 Experience building and maintaining applications with Next.js
 </li>
 <li>
 Solid understanding of distributed systems and cloud-native architectures
 </li>
 <li>
 Proven ability to own and deliver complex features from design through production
 </li>
 <li>
 Strong verbal and written communication skills, with the ability to articulate complex technical concepts clearly
 
 
 </li>
 </ul>
 
 Why Us?
 
 
 
 At Siemens Software, flexibility is how we work&mdash;hybrid by default, built on trust and autonomy. Together, 30,000 people across more than 200 countries build technology that shapes the real world. You'll grow through real projects, strong technical peers, and global mobility, backed by the scale and benefits of an industrial software leader. We're committed to equality and inclusion, and we hire based on merit, skills, and impact. Bring your curiosity and creativity and help us shape tomorrow!
 
 
 
 Our Benefits &amp; Rewards
 
 
 
 The salary range for this position is 44,000
 
 to 60
 
 ,000 and this role is eligible to earn incentive compensation. The actual compensation offered is based on the successful candidate's job-related skills, experience, and relevant education/training. Siemens offers health and wellness benefits to employees; you can access the benefits available in your country via the link: Benefits | Siemens Digital Industries Software
 
 
 
 Our Commitment to Equity and Inclusion in our Diverse Global Workforce
 
 
 
 We value your unique identity and perspective. We are fully committed to providing equitable opportunities and building a workplace that reflects the diversity of society, while ensuring that we attract the best talent based on qualifications, skills, and experiences. We welcome you to bring your authentic self.
 
 
 Transform the everyday with us.
 
 
 #SWSaaS
 
 
</div>

Software Engineer - Senior (Full Stack)

UCC Holding

<div>
 
 The Senior Quantity Surveyor is responsible for managing all quantity surveying and cost management activities throughout the project lifecycle. The role oversees quantity takeoffs, cost planning, tendering, contract administration, variation management, and project cost control to ensure projects are delivered within budget while maintaining quality and contractual compliance. The Senior Quantity Surveyor provides technical leadership and guidance to junior team members and acts as a key liaison between project stakeholders, consultants, subcontractors, and suppliers.
 
 
 Key Responsibilities
 
 <ul>
 <li>
 Oversee the preparation of detailed quantity takeoffs from architectural, structural, MEP, and engineering drawings.
 </li>
 <li>
 Develop and review cost estimates, budgets, and cash flow forecasts for projects.
 </li>
 <li>
 Manage the preparation, evaluation, and submission of tender documents and commercial proposals.
 </li>
 <li>
 Analyze subcontractor and supplier quotations and lead commercial negotiations.
 </li>
 <li>
 Monitor project costs, commitments, and expenditures to ensure alignment with approved budgets.
 </li>
 <li>
 Administer contracts, including preparation and evaluation of variations, claims, extensions of time, and change orders.
 </li>
 <li>
 Identify commercial risks and opportunities and develop mitigation strategies.
 </li>
 <li>
 Lead value engineering initiatives and cost optimization exercises.
 </li>
 <li>
 Review interim payment applications, subcontractor valuations, and final account settlements.
 </li>
 <li>
 Conduct site visits and measurements to verify completed works and assess progress.
 </li>
 <li>
 Prepare and present commercial reports, cost forecasts, and management summaries to senior leadership.
 </li>
 <li>
 Ensure compliance with contractual obligations, company procedures, and industry standards.
 </li>
 <li>
 Mentor and supervise Junior Quantity Surveyors and provide technical guidance to project teams.
 </li>
 <li>
 Coordinate with clients, consultants, contractors, and internal departments on commercial and contractual matters.
 </li>
 </ul>
 
 Job Knowledge &amp; Skills
 
 <ul>
 <li>
 Advanced knowledge of quantity surveying principles, cost management, and contract administration.
 </li>
 <li>
 Strong expertise in Bill of Quantities (BOQ) preparation and standard methods of measurement.
 </li>
 <li>
 Proficiency in computer-based quantification systems; experience with CCS (Candy) is highly preferred.
 </li>
 <li>
 Advanced Microsoft Office skills, particularly Excel.
 </li>
 <li>
 Strong knowledge of AutoCAD and quantity takeoff software.
 </li>
 <li>
 Experience with ERP systems, preferably SAP.
 </li>
 <li>
 Excellent analytical, negotiation, and commercial management skills.
 </li>
 <li>
 Strong understanding of construction contracts, claims, and variation management.
 </li>
 <li>
 Ability to lead teams and manage multiple projects simultaneously.
 </li>
 </ul>
 
 Education
 
 <ul>
 <li>
 Bachelor's Degree in Civil Engineering, Construction Management
 </li>
 <li>
 Minimum 6+ years of experience in Quantity Surveying within the construction industry.
 </li>
 <li>
 Proven experience managing large-scale construction projects.
 </li>
 <li>
 GCC experience is highly preferred.
 </li>
 <li>
 Previous experience in contract administration and commercial management is required.
 </li>
 </ul>
 
 
</div>

Senior Quantity Surveyor

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