accountant – accounts receivable (junior)

data engineer

ai engineer, light

ai platform engineer

senior software engineer

software engineer

ai engineer

Finaira

<div>
 The Principal AI Engineer provides technical leadership and direction for a team of AI Engineer, overseeing the end-to-end development and deployment of significant AI initiatives. This role involves driving technical strategy, setting best practices, mentoring team members, and ensuring the delivery of high-quality, impactful AI solutions that align with business objectives.
 
 
 
 Focus:
 
 End-to-End Initiative Leadership, AI/ML Strategy &amp; Mentorship
 
 
 
 The difference you will make:
 
 
 
 <ul>
 <li>
 Provide technical leadership, guidance, and mentorship to a team of AI Engineer
 </li>
 <li>
 Architect, design, and oversee the implementation of complex AI/ML systems and platforms from conception to production
 </li>
 <li>
 Drive the technical roadmap for AI projects, translating business requirements into technical specifications and actionable plans
 </li>
 <li>
 Champion best practices in AI/ML engineering, MLOps, software development, code quality, and testing
 </li>
 <li>
 Lead technical discussions, architectural reviews, and problem-solving sessions within the team and across departments
 </li>
 <li>
 Collaborate closely with product management, data science, and other engineering teams to define project scope, technical feasibility, and resource allocation
 </li>
 <li>
 Identify and evaluate new technologies, tools, and methodologies to enhance the team's capabilities and efficiency
 </li>
 <li>
 Conduct performance evaluations and provide constructive feedback to team members, contributing to their professional growth
 </li>
 <li>
 Act as a primary technical point of contact for stakeholders regarding AI solutions
 </li>
 <li>
 Hands-on contribution to critical code components, architectural design, and complex problem-solving
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 What you will bring to the role:
 
 
 
 
 Education:
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field. Master's degree or Ph.D. highly preferred
 
 
 </li>
 </ul>
 
 Experience:
 
 
 
 <ul>
 <li>
 8+ years of extensive experience in AI/ML engineering, with at least 2-3 years in a technical leadership or lead engineer role, successfully leading significant AI projects from end-to-end
 
 
 </li>
 </ul>
 
 Technical Skills:
 
 
 
 <ul>
 <li>
 Expert proficiency in Python and deep expertise in multiple AI/ML frameworks (e.g., TensorFlow, PyTorch, Keras)
 </li>
 <li>
 Demonstrated experience in designing and implementing large-scale, production-grade AI systems, including distributed training and serving
 </li>
 <li>
 In-depth knowledge and practical experience with MLOps principles, tools, and platforms (e.g., Kubeflow, MLflow, Airflow, Docker, Kubernetes)
 </li>
 <li>
 Strong architectural skills for building robust, scalable, and maintainable AI infrastructures
 </li>
 <li>
 Proficiency in cloud environments (AWS, Azure, GCP) and their AI/ML services
 </li>
 <li>
 Excellent understanding of data engineering principles, data governance, and database technologies
 </li>
 <li>
 Ability to evaluate and make sound technical decisions on complex trade-offs
 
 
 </li>
 </ul>
 
 Soft Skills:
 
 
 
 <ul>
 <li>
 Exceptional leadership, communication, and presentation skills, with the ability to influence and persuade stakeholders at all levels, including executive leadership
 </li>
 <li>
 Proven ability to think strategically and translate complex business challenges into innovative and impactful data science initiatives
 </li>
 <li>
 Strong mentoring and coaching skills, with a passion for developing the talents of junior team members
 </li>
 <li>
 Excellent collaboration and negotiation skills, with the ability to work effectively across diverse, cross-functional teams and build strong relationships
 
 
 </li>
 </ul>
 Finaira is an Equal Opportunity Employer and is committed to providing a workplace free of discrimination and harassment. All employment decisions are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by the laws or regulations in the locations where we operate.
</div>

Principal AI Engineer

Flatgigs

<div>
 
 The Role
 
 
 
 The Forward Deployed AI Engineer will work directly with clients and senior engineers to build AI-powered systems inside real enterprise environments. This role is ideal for a strong junior engineer who wants to work on practical AI systems, enterprise data, agents, retrieval, workflow automation, and context graphs. You will help connect to client systems, process messy real-world data, build prototypes, and turn business problems into working software.
 
 
 The work is hands-on and client-facing:
 
 
 <ul>
 <li>
 Understand operational workflows and convert them into technical artifacts
 </li>
 <li>
 Connect to real enterprise systems and data sources
 </li>
 <li>
 Build context-aware AI agents, retrieval systems, and automation prototypes
 </li>
 <li>
 Help move the best prototypes toward reliable production deployments
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 Build context graphs.
 
 Help ingest, clean, structure, and connect data from enterprise systems into context graph. This may include structured databases, PDFs, spreadsheets, tickets, CRM data, analytics events, Slack or Teams exports, meeting transcripts, operational workflows, and other internal knowledge sources.
 
 
 
 Develop AI and agentic workflows.
 
 Build AI pipelines and agent-based systems that can reason over enterprise context, identify patterns, surface workflow gaps, and suggest or trigger automations. This may involve LLMs, retrieval systems, structured extraction, tool use, LangGraph-style workflows, and agent harnesses.
 
 
 
 Connect to enterprise systems
 
 . Integrate with client infrastructure such as databases, APIs, cloud storage, document repositories, analytics tools, ticketing systems, and internal applications.
 
 
 
 Prototype automation opportunities.
 
 Rapidly build proof-of-concepts that show how AI can improve a client's operations - for example, process documentation, workflow discovery, incident management, document extraction, customer journey analysis, or operational decision support.
 
 
 
 Turn messy business problems into software.
 
 Work with senior engineers and business stakeholders to translate ambiguous operational problems into technical designs, data models, prompts, pipelines, and deployed applications.
 
 
 
 Support production deployments.
 
 Help build reliable, maintainable systems that can run in production environments, including client cloud environments when needed.
 
 
 
 Ideal Candidate
 
 
 
 We are looking for a strong junior software engineer who is excited about applied AI and wants to build real systems, not just experiments.
 
 
 You do not need to be an expert in every area below, but you should be curious, technical, and comfortable learning quickly.
 
 
 
 Technical Background
 
 
 
 <ul>
 <li>
 Strong Python fundamentals
 </li>
 <li>
 Basic backend development experience
 </li>
 <li>
 Familiarity with APIs, databases, and cloud services
 </li>
 <li>
 Interest in LLMs, agents, retrieval, structured outputs, and tool-calling
 </li>
 <li>
 Familiarity with data pipelines and messy real-world datasets
 </li>
 <li>
 Experience with FastAPI, LangChain, LangGraph, vector databases, document processing, or knowledge graphs is a plus
 </li>
 <li>
 AWS experience is a plus
 </li>
 <li>
 Experience with enterprise data, analytics, or workflow automation is a strong plus
 
 
 </li>
 </ul>
 
 What Makes Someone Successful In This Role
 
 
 
 <ul>
 <li>
 You like figuring out how businesses actually operate
 </li>
 <li>
 You are comfortable working with incomplete, messy, or poorly documented data
 </li>
 <li>
 You can move quickly from vague requirements to a working prototype
 </li>
 <li>
 You care about building useful systems, not just impressive demos
 </li>
 <li>
 You communicate clearly with both engineers and non-technical stakeholders
 </li>
 <li>
 You are curious about how AI agents can interact with real tools, data, and workflows
 </li>
 <li>
 You want to learn how to deploy AI into real enterprise environments
 
 
 </li>
 </ul>
 
 Why This Role Is Interesting
 
 
 
 You will work on the frontier of practical enterprise AI: connecting AI agents to real company context and using that context to discover and automate high-value workflows.
 
 
 This is a hands-on engineering role for someone who wants to grow into building production-grade AI systems across data, agents, infrastructure, and enterprise software
</div>

Forward Deployed AI Engineer

Valeo

<div>
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design end-to-end differentiable systems that jointly optimize sensor control, illumination patterns, and perception tasks (detection, segmentation)
 </li>
 <li>
 Develop domain adaptation techniques enabling synthetic-to-real transfer without retraining.
 </li>
 <li>
 Implement energy-aware AI models balancing perception quality with power constraints for embedded automotive deployment.
 </li>
 <li>
 Validate systems through real-world vehicle testing across diverse environmental conditions.
 </li>
 <li>
 Publish research at top-tier conferences (CVPR, ICCV, NeurIPS) while delivering production-ready solutions.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Computer Science, Computer Engineering, Data Science, Electrical Engineering, or a related field.
 </li>
 <li>
 3+ years developing and deploying deep learning and reinforcement learning models
 </li>
 <li>
 Expert-level deep learning (PyTorch/TensorFlow) with custom architecture design.
 </li>
 <li>
 Strong background in object detection, semantic segmentation, neural rendering.
 </li>
 <li>
 Experience with domain adaptation, self-supervised learning, and model optimization for
 </li>
 <li>
 edge devices.
 </li>
 <li>
 Familiarity with ROS, simulation environments (CARLA, Applied Intuition, NVIDIA), and 3D
 </li>
 <li>
 rendering engines.
 </li>
 <li>
 Experience with automotive perception datasets (nuScenes, Waymo Open, KITTI) and
 </li>
 <li>
 benchmarks.
 </li>
 <li>
 Hands-on experience with automotive sensors (cameras, LiDAR, radar, thermal imaging).
 </li>
 <li>
 Knowledge of closed-loop control integration with neural networks.
 </li>
 <li>
 Proficiency in Python, C++, and CUDA programming.
 </li>
 </ul>
</div>

AI Engineer, LIGHT

<div>
 Valeo est une entreprise mondiale de haute technologie qui con&ccedil;oit des solutions r&eacute;volutionnaires pour r&eacute;inventer la mobilit&eacute;. Nous sommes un &eacute;quipementier partenaire des constructeurs automobiles et des acteurs de la nouvelle mobilit&eacute; dans le monde entier. Notre vision ? Inventer une mobilit&eacute; plus verte et plus s&ucirc;re, gr&acirc;ce &agrave; des solutions ax&eacute;es sur la conduite intuitive et la r&eacute;duction des &eacute;missions de CO2. Nous sommes leaders dans nos domaines d'activit&eacute; et reconnus comme l'une des plus grandes entreprises innovantes au monde.
 
 
 
 
 Responsibilities
 
 ~
 
 
 
 <ul>
 <li>
 Design end-to-end differentiable systems that jointly optimize sensor control, illumination patterns, and perception tasks (detection, segmentation)
 </li>
 <li>
 Develop domain adaptation techniques enabling synthetic-to-real transfer without retraining.
 </li>
 <li>
 Implement energy-aware AI models balancing perception quality with power constraints for embedded automotive deployment.
 </li>
 <li>
 Validate systems through real-world vehicle testing across diverse environmental conditions.
 </li>
 <li>
 Publish research at top-tier conferences (CVPR, ICCV, NeurIPS) while delivering production-ready solutions.
 
 
 </li>
 </ul>
 
 
 Qualifications
 
 ~
 
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Computer Science, Computer Engineering, Data Science, Electrical Engineering, or a related field.
 </li>
 <li>
 3+ years developing and deploying deep learning and reinforcement learning models
 </li>
 <li>
 Expert-level deep learning (PyTorch/TensorFlow) with custom architecture design.
 </li>
 <li>
 Strong background in object detection, semantic segmentation, neural rendering.
 </li>
 <li>
 Experience with domain adaptation, self-supervised learning, and model optimization for
 </li>
 <li>
 edge devices.
 </li>
 <li>
 Familiarity with ROS, simulation environments (CARLA, Applied Intuition, NVIDIA), and 3D
 </li>
 <li>
 rendering engines.
 </li>
 <li>
 Experience with automotive perception datasets (nuScenes, Waymo Open, KITTI) and
 </li>
 <li>
 benchmarks.
 </li>
 <li>
 Hands-on experience with automotive sensors (cameras, LiDAR, radar, thermal imaging).
 </li>
 <li>
 Knowledge of closed-loop control integration with neural networks.
 </li>
 <li>
 Proficiency in Python, C++, and CUDA programming.
 
 
 </li>
 </ul>
 
 Position~
 
 
 
 AI4all, Engineering Disciplines
 
 
 
 D&eacute;partement~
 
 
 
 Software Development
 
 
 
 Schedule~
 
 
 
 Temps plein
 
 
 
 Employee Status~
 
 
 
 CDI
 
 
 
 Type de contrat~
 
 
 
 
 Job Posting Date~
 
 
 
 2026-03-18
 
 
 
 Join Us !
 
 
 Being part of our team, you will join~
 
 
 <ul>
 <li>
 one of the largest global innovative companies, with more than 20,000 engineers working in Research &amp; Development
 </li>
 <li>
 a multi-cultural environment that values diversity and international collaboration
 </li>
 <li>
 more than 100,000 colleagues in 31 countries... which make a lot of opportunity for career growth
 </li>
 <li>
 a business highly committed to limiting the environmental impact if its activities and ranked by Corporate Knights as the number one company in the automotive sector in terms of sustainable development
 
 
 </li>
 </ul>
 More information on Valeo~ https~//www.valeo.com
 
</div>

Faze 3 Consulting

<div>
 
 About Our Client
 
 
 Our client is an established management consulting firm working with government, financial services, and enterprise clients across the GCC and wider MENA region. Their identity will be disclosed at first contact from Faze 3.
 
 
 
 
 
 The Team You'd Be Joining
 
 
 A rapidly growing, ambitious AI engineering team being built from the ground up to design and ship the AI products at the centre of the client&rsquo;s consulting work. As an early hire in this build, you will help shape both the technical foundations and the engineering culture of the function.
 
 
 
 
 
 The Role
 
 
 This role bridges classical machine learning and modern LLM-based systems. You will build production ML models (regression, classification, time-series, anomaly detection) alongside hybrid architectures combining retrieval-augmented generation, ML scoring, and rules-based logic. You will own the evaluation frameworks that keep applied AI honest in production: precision, recall, hypothesis testing, model diagnostics, drift detection.
 
 
 This is a hands-on practitioner role, not research. The team ships into live client engagements against measured precision, recall, latency, and cost targets.
 
 
 
 
 
 Mandatory Requirements
 
 
 
 Education.
 
 Bachelor&rsquo;s in Computer Science (or very similar/related) OR Bachelor&rsquo;s in Statistics (or very similar/related) from a Tier 1 / Tier 2 university. Master&rsquo;s preferred. &ldquo;Very similar/related&rdquo; includes Software Engineering, Mathematics, Data Science, Physics, Applied Statistics, Information Systems, Econometrics, and similar substantively quantitative disciplines.
 
 
 
 
 
 
 Experience.
 
 5&ndash;10 years in applied ML / AI engineering, with at least 3 years building ML models that ran in production.
 
 
 
 
 
 
 Essential Skills:
 
 
 <ul>
 <li>
 Strong Python
 </li>
 <li>
 NumPy
 </li>
 <li>
 pandas
 </li>
 <li>
 scikit-learn
 </li>
 <li>
 production ML pipelines
 </li>
 <li>
 SQL
 </li>
 <li>
 working comfort with the LLM and RAG interplay.
 </li>
 </ul>
 
 
 
 
 
 Statistical rigour.
 
 Working fluency with hypothesis testing (t-tests, z-tests, chi-square), time-series and stationarity diagnostics (AD, JB, ARCH, ADF, KPSS), and model diagnostics (AIC, BIC, log-likelihood).
 
 
 
 
 
 
 Conditional certification.
 
 If your degree is in Statistics (or very similar/related), the role requires either the Stanford Machine Learning Specialization OR the IBM Python for Data Science and AI certification. For CS-pathway candidates, these are good-to-have.
 
 
 
 
 
 
 Languages.
 
 Proficiency in English is required.
 
 
 
 
 
 Desirable Skills
 
 
 &bull;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Time-series modelling depth &mdash; ARIMA family, Prophet, deep-learning sequence models.
 
 
 &bull;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;PyTorch or TensorFlow at working level.
 
 
 &bull;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;MLflow or equivalent experiment tracking in production use.
 
 
 &bull;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Embeddings, vector search, and reranking experience.
 
 
 &bull;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;XGBoost, LightGBM, or CART model fluency.
 
 
 &bull;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Drift detection, shadow evaluation, or A/B test design experience.
 
 
 &bull;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;A live GitHub or portfolio with original ML work.
 
 
 &bull;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Arabic language capability.
 
 
 
 
 
 How to Apply
 
 
 You will need your CV and a 300-word narrative describing one ML model you took from concept to production &mdash; problem, approach, evaluation, deployment, and measurable impact. A GitHub or portfolio link is welcomed but optional.
 
</div>

Applied ML and AI Engineer

BCG X

<div>
 Who We Are
 
 
 Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact.
 
 
 To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures&mdash;and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive.
 
 
 
 We Are BCG X
 
 
 
 We&rsquo;re a diverse team of more than 3,000 tech experts united by a drive to make a difference. Working across industries and disciplines, we combine our experience and expertise to tackle the biggest challenges faced by society today. We go beyond what was once thought possible, creating new and innovative solutions to the world&rsquo;s most complex problems. Leveraging BCG&rsquo;s global network and partnerships with leading organizations, BCG X provides a stable ecosystem for talent to build game-changing businesses, products, and services from the ground up, all while growing their career. Together, we strive to create solutions that will positively impact the lives of millions.
 
 
 What You'll Do
 
 
 Our BCG X teams own the full analytics value-chain end to end: framing new business challenges, designing innovative algorithms, implementing, and deploying scalable solutions, and enabling colleagues and clients to fully embrace AI. Our product offerings span from fully custom-builds to industry specific leading edge AI software solutions.
 
 
 As an AI Software Engineer you&rsquo;ll be part of our rapidly growing engineering team and help to build the next generation of AI solutions. You&rsquo;ll have the chance to partner with clients in a variety of BCG regions and industries, and on key topics like climate change, enabling them to design, build, and deploy new and innovative solutions.
 
 
 What You'll Bring
 
 
 We Are Looking For Talented Individuals With a Passion For Software Development, Large-scale Data Analytics And Transforming Organizations Into AI Led Innovative Companies. Successful Candidates Possess The Following
 
 
 <ul>
 <li>
 Apply software development practices and standards to develop robust and maintainable software
 </li>
 <li>
 Actively involved in every part of the software development life cycle
 </li>
 <li>
 Experienced at guiding non-technical teams and consultants in and best practices for robust software development
 </li>
 <li>
 Optimize and enhance computational efficiency of algorithms and software design
 </li>
 <li>
 Motivated by a fast-paced, service-oriented environment and interacting directly with clients on new features for future product releases
 </li>
 <li>
 Enjoy collaborating in teams to share software design and solution ideas
 </li>
 <li>
 A natural problem-solver and intellectually curious across a breadth of industries and topics
 </li>
 <li>
 4+ years of relevant experience.
 
 
 </li>
 </ul>
 
 Technologies
 
 
 
 Programming Languages: Python
 
 
 Additional info
 
 
 #BCGXjob
 
 
 Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws.
 
 
 BCG is an E - Verify Employer. Click here for more information on E-Verify.
</div>

Forward Deployed AI Engineer, Egypt - BCG X

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 software.
 
 
 About the role:
 
 
 Are you passionate about AI and interested in shaping the future of interactive and generative technology? We are seeking a talented AI Software Engineer to join our team and contribute to the development of cutting-edge copilot and agent services using Large Language Models (LLMs). Our aim is to create copilots that provide intelligent, conversational experiences and agents that will redefine how our users interact with our software.
 
 
 If you're excited about working with the latest advancements in Generative AI and delivering top-notch services in a fast-paced environment, we'd love for you to apply.
 
 
 What you&rsquo;ll be doing:
 
 
 As an AI Software Engineer, you will design, build, and maintain copilot and agent solutions powered by LLM technology. Your responsibilities include:
 
 
 <ul>
 <li>
 Assessing the current capabilities of agent services in the Siemens DI ecosystem for our adoption
 </li>
 <li>
 Collaborating with company-wide cross-functional teams to reflect our team&rsquo;s requirements and help extending central services features when necessary, using the contribution model.
 </li>
 <li>
 Collaborating with product teams for their adoption of agent frameworks; support integration of UI, help setting up product specific agents, ensure high quality by keeping up with the latest AI model capabilities.
 </li>
 <li>
 Ensuring the copilots and agents are scalable and maintain high performance
 </li>
 <li>
 Helping the transition of the organization towards AI-assisted products by training and upskilling product teams.
 </li>
 <li>
 Writing clean, testable code and engaging in peer code reviews to maintain high standards of software quality.
 </li>
 <li>
 Assessing service performance, troubleshooting issues, and deploying fixes to ensure seamless user experiences.
 </li>
 <li>
 Staying current with industry trends in agent development and LLM advancements, applying this knowledge to improve our service offerings.
 
 
 </li>
 </ul>
 What you&rsquo;ll bring:
 
 
 <ul>
 <li>
 Master&rsquo;s Degree in Computer Science, AI, or a related technical field, with relevant experience in copilot/agent development.
 </li>
 <li>
 Solid understanding of and experience with LLM frameworks and conversational AI technologies.
 </li>
 <li>
 Proficient in programming languages relevant to AI and copilot/agent development, such as Python.
 </li>
 <li>
 Experience with multi-team, collaborative software development including source control and collaborative design and code reviews
 </li>
 <li>
 Experience working with cloud platforms (AWS, Azure) and their AI-related services and tools is a plus.
 </li>
 <li>
 Experience in deploying and maintaining applications in a 24x7 production environment, including handling scalability and security considerations is beneficial.
 </li>
 <li>
 A proactive approach to problem-solving, a keen eye for optimization, and a passion for learning and implementing emerging technologies.
 </li>
 <li>
 Excellent collaborative skills for working in a highly interdisciplinary subject.
 
 
 </li>
 </ul>
 If you're excited by the prospect of developing AI-driven solutions that resonate with users and create compelling interactions, we encourage you to apply. If you don't have every qualification mentioned but believe you can bring value to our team, we're eager to know more about your unique perspectives and experiences. Join us and help build AI services that redefine the standard for AI-human interaction.
 
 
 We are Siemens:
 
 
 A collection of over 377,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality, and we welcome applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit, and business need. Bring your curiosity and creativity and help us Transform the everyday!
 
 
 We offer a comprehensive reward package which includes a competitive basic salary, bonus scheme, generous holiday allowance, pension, and private healthcare.
 
 
 Siemens is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
 
 
 If you believe in technology with purpose and are interested in learning more about Siemens Digital Industries Software before you apply then check out our Mission / Vision and our software portfolio, meet the team and join our Talent Community today so that we can stay connected in the areas that interest you: www.siemens.com/careers/transformtheeveryday/
 
 
 #DISWSIM
 
 
</div>

AI Software Engineer

Explore 201+ Ai engineer in Cairo this May. Find roles across top companies and apply now to boost your career.

201 ai engineer jobs In Cairo

Principal AI Engineer

Forward Deployed AI Engineer

AI Engineer, LIGHT

AI Engineer, LIGHT

Applied ML and AI Engineer

Forward Deployed AI Engineer, Egypt - BCG X

AI Software Engineer