software engineer

ai developer

ai engineer

data scientist

principal ai engineer

artificial intelligence specialist

eSense

<div>
 Position Overview
 
 
 Mid-Level AI Engineer with strong hands-on experience in end-to-end AI system development, specializing in on-premises and private cloud AI deployments. This role focuses on building production-grade AI solutions using primarily local models, optimizing GPU-based training and fine-tuning pipelines, and developing scalable RAG, agentic, multimodal, and speech-enabled systems.
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Analyze requirements and contribute to technical AI solution design.
 </li>
 <li>
 Strong programming skills in Python (mandatory).
 </li>
 <li>
 Experience in backend development (APIs, microservices, model serving).
 </li>
 <li>
 Hands-on experience with local LLM deployment and optimization.
 </li>
 <li>
 Experience in RAG system design and vector databases.
 </li>
 <li>
 Practical experience in model fine-tuning (LoRA / PEFT).
 </li>
 <li>
 Solid understanding of: Transformer architecture, quantization techniques, and embeddings with retrieval.
 </li>
 <li>
 Experience working in Linux environments.
 </li>
 <li>
 Participate in peer code reviews and team planning activities.
 </li>
 <li>
 Provide task estimations and deliver within approved timelines.
 </li>
 <li>
 Apply secure coding practices and participate in bug resolution with quality metrics in mind.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in computer science, Artificial Intelligence, Data Science, or related discipline.
 </li>
 <li>
 2-5 years of experience in AI Engineering.
 </li>
 <li>
 Proficiency in C#, .NET Core and Python.
 </li>
 <li>
 Experience with Structured and Unstructured databases.
 </li>
 <li>
 Experience with Angular or other frontend technologies is a strong plus.
 </li>
 <li>
 Working knowledge of relational databases (i.e., SQL Server) and non-relational databases (i.e., Qdrant)
 </li>
 <li>
 Familiarity with Git, RESTful services, and Agile development methodologies
 </li>
 </ul>
</div>

AI Engineer

Valeo

<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, develop, and deploy end-to-end ML/AI solutions. Build and optimize LLM-based systems (Agents, Agentic workflows, RAG pipelines, embeddings, multimodal, etc.).
 </li>
 <li>
 Research, evaluate, and experiment with new AI techniques, models, tools, and frameworks, and assess their feasibility, performance, and business impact.
 </li>
 <li>
 Fine-tune, evaluate, and benchmark systems using quantitative and AI-Based evaluation methods.
 </li>
 <li>
 Stay up to date with advancements in the field. Drive adoption of relevant innovations into production systems.
 </li>
 <li>
 Design AI system architecture with focus on production aspects such as scalability, latency, cost efficiency, and reliability.
 </li>
 <li>
 Collaborate with product, backend, and cloud teams to integrate AI systems.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 4+ years of hands-on experience in AI/ML development.
 </li>
 <li>
 Master&rsquo;s degree (MSc) in AI, Machine Learning, Computer Science, or a related field. (a significant advantage)
 </li>
 <li>
 Solid ML/AI fundamentals.
 </li>
 <li>
 Strong practical experience in AI related developments (Python, frameworks, tools, etc.).
 </li>
 <li>
 Strong analytical, problem-solving, and communication skills.
 </li>
 <li>
 Experience deploying AI solutions to production environments.
 </li>
 <li>
 Experience with cloud AI platforms (e.g., GCP, Vertex AI).
 </li>
 <li>
 Familiarity with MLOps, monitoring, and CI/CD pipelines.
 
 
 </li>
 </ul>
 
 Position~
 
 
 
 R&amp;D Engineer
 
 
 
 D&eacute;partement~
 
 
 
 GTSC Artificial Intelligence
 
 
 
 Schedule~
 
 
 
 Temps plein
 
 
 
 Employee Status~
 
 
 
 CDI
 
 
 
 Type de contrat~
 
 
 
 
 Job Posting Date~
 
 
 
 2026-01-19
 
 
 
 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>

Senior AI Engineer, AI4ALL

York Towers

<div>
 Dwelleo is a Saudi AI-powered PropTech platform redefining how real estate decisions are made. From buying and renting to selling and investing, we combine verified data, intelligent insights, and complete transparency &mdash; empowering users to understand the market clearly and make confident decisions at every step.
 
 
 
 About Dwelleo
 
 
 
 Dwelleo is an AI-powered real estate marketplace transforming how people search, buy, sell, and rent properties across Saudi Arabia.
 
 
 The platform combines machine learning, intelligent discovery tools, and data-driven insights to connect buyers, renters, brokers, and developers through a seamless, scalable digital experience.
 
 
 At its core, Dwelleo embeds AI directly into the product &mdash; powering pricing, recommendations, search, and decision-making across the entire property journey.
 
 
 
 About The Role
 
 
 
 You'll work across the full AI surface area of a live product. Your work will span classical ML (pricing, forecasting) and modern LLM systems (agents, RAG, voice), with real engineering expectations around reliability, observability, and production quality. Research here is always in service of shipping &mdash; experimentation exists to accelerate delivery, not replace it.
 
 
 You'll work within a dual-track Agile structure: a
 
 Research sprint
 
 for experimentation and model development, and an
 
 Engineering sprint
 
 for deployment, integration, and reliability work. You'll contribute to both.
 
 
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Ship predictive models for property price estimation, rent forecasting, and ROI analysis &mdash; from feature engineering through production deployment on AWS ECS with canary release practices
 </li>
 <li>
 Build and maintain LLM-powered multi-agent systems, including deterministic state machines, scoring engines, guardrail layers, and escalation logic that runs reliably at scale
 </li>
 <li>
 Develop and improve RAG pipelines with vector-based retrieval (FAISS, pgvector) for property search and AI-assisted advisory features
 </li>
 <li>
 Expose AI capabilities as FastAPI microservices with autoscaling, versioning, and production-grade reliability
 </li>
 <li>
 Integrate and improve STT/TTS speech pipelines connected to telephony infrastructure &mdash; Arabic dialect support is a meaningful plus
 </li>
 <li>
 Own observability across the stack: drift detection, latency monitoring, alerting, and model performance dashboards
 </li>
 <li>
 Collaborate closely with product and engineering across both sprint tracks, translating research outcomes into shippable systems
 
 
 </li>
 </ul>
 
 Required
 
 
 
 
 What we're looking for
 
 
 
 <ul>
 <li>
 3&ndash;6 years of hands-on experience in ML engineering, AI engineering, or a closely related role &mdash; with at least some of that time shipping to production
 </li>
 <li>
 Strong Python skills with a track record of production deployment (not just notebooks)
 </li>
 <li>
 Solid ML fundamentals: supervised learning, gradient boosting (XGBoost / LightGBM), feature engineering, model evaluation, and retraining workflows
 </li>
 <li>
 Hands-on experience with LLMs (OpenAI, Anthropic, or open-source models) and practical RAG pipeline implementation
 </li>
 <li>
 Experience building and deploying ML microservices using FastAPI
 </li>
 <li>
 Working knowledge of CI/CD for ML workloads &mdash; you've set up or maintained pipelines using tools like GitHub Actions, MLflow, or equivalent
 </li>
 <li>
 Comfortable working in English; Arabic is not required but welcome
 
 
 </li>
 </ul>
 
 Nice To Have
 
 
 
 <ul>
 <li>
 STT/TTS integration or voice pipeline engineering &mdash; Arabic dialect experience is a strong plus
 </li>
 <li>
 AWS hands-on experience: ECS, S3, RDS
 </li>
 <li>
 Familiarity with geospatial data and similarity search (Ball Tree, FAISS, pgvector)
 </li>
 <li>
 Background in lead scoring, content moderation, or recommendation systems
 </li>
 <li>
 Experience with MLflow, experiment tracking, or model registry workflows
 </li>
 <li>
 Real estate or PropTech domain exposure
 
 
 </li>
 </ul>
 
 What We Offer
 
 
 
 <ul>
 <li>
 Location: Fully remote
 </li>
 <li>
 Team: You'll report directly to the AI Team Lead
 </li>
 <li>
 Direct ownership of production AI systems with measurable user and business impact
 </li>
 <li>
 A technically ambitious environment working at the intersection of AI and one of the region's most active real estate markets
 </li>
 </ul>
</div>

Coca-Cola HBC

<div>
 
 
 Department
 
 : Data, Insights &amp; AI Products &amp; Platforms
 
 
 
 Location
 
 : Egypt (Cairo).
 
 
 
 
 
 As an Artificial Intelligence (AI) Developer will join our growing DTPS Visual Analytics team. He/She will be responsible for designing and developing AI applications and systems that drive innovation and improve our existing products and services. He/She will focus on developing the tools, systems, and processes that enable artificial intelligence to be applied in the real world. Any application where machines mimic human functions, such as solving problems and learning, can be considered artificial intelligence. This role includes AI development in Power BI to deliver intelligent, data-driven visual analytics.
 
 
 He/She will collaborate with cross-functional teams, including data scientists, data engineers, and product managers, to bring AI-powered solutions to life.
 
 
 
 
 
 
 YOUR NEW KEY RESPONSIBILITIES:
 
 
 
 &bull; Part of a team responsible for charting the AI strategy and defining the problems to be solved with AI.
 
 
 &bull; Integration of advanced AI features into Power BI reports.
 
 
 &bull; Use of AI visuals like decomposition trees, key influencers, and Q&amp;A.
 
 
 &bull; Collaboration with business users to deliver intelligent, AI-powered dashboards.
 
 
 &bull; Embedding machine learning models into Power BI using Azure ML.
 
 
 &bull; Enabling predictive analytics and NLP (Natural Language Processing) within reports.
 
 
 &bull; Participate in code and design reviews to maintain a high-quality codebase.
 
 
 &bull; Collaborate across teams to help with AI adoption and best practices.
 
 
 
 
 
 
 ARE THESE YOUR SECRET INGREDIENTS?
 
 
 
 &bull; Bachelor&rsquo;s or master&rsquo;s degree in Computer Science, Engineering, Data Science, or a related field.
 
 
 &bull; 3+ years of experience in AI, machine learning, or applied analytics, ideally with a focus on business intelligence tools.
 
 
 &bull; Proven experience developing AI-powered solutions in Power BI, including use of AI visuals (e.g., key influencers, decomposition trees, Q&amp;A), and integrating ML models via Azure ML.
 
 
 &bull; Strong understanding of Power BI architecture, DAX, Power Query, and data modeling best practices.
 
 
 &bull; Familiarity with Azure AI Services (e.g., OpenAI, AI Search, AI Language, AI Document Intelligence) and their integration into Power BI.
 
 
 &bull; Experience with Python and basic ML frameworks (e.g., scikit-learn) and model optimization in Power BI.
 
 
 &bull; Understanding of natural language processing (NLP) and its application in business reporting is a plus.
 
 
 &bull; Hands-on experience with Azure Machine Learning, Databricks, or Synapse Analytics is beneficial &ndash; focus on data preparation pipelines that feed into Power BI.
 
 
 &bull; Comfortable working in Agile environments using tools like Azure DevOps.
 
 
 &bull; Azure certifications (e.g., Azure Data Scientist Associate, Power BI Data Analyst Associate) are a plus.
 
 
 &bull; Strong analytical thinking, communication, and stakeholder collaboration skills.
 
 
 
 
 
 
 ABOUT YOUR NEW TEAM
 
 
 
 We are Coca-Cola Hellenic, a growth-focused consumer goods business and strategic bottling partner of the Coca-Cola Company. We bottle, distribute and sell an unrivalled range of products in 29 markets in Europe, Africa and Eurasia. As we do, we create value for all stakeholders, support socio-economic growth and build a more positive environmental impact.
 
 
 We bring together more than 30,000 people from over 70 nationalities, coming from five continents. The diversity of our markets, from mature to emerging economies, provides a wide range of attractive opportunities for growth.
 
 
 We nurture our talents. We give opportunities to people across all functions and levels, as well as different geographies, backgrounds and education. We are willing to take a risk on the people we believe in, even if they don&rsquo;t have the perfect experience. We have faith in what every person can be.
 
 
 And although we have so much to be proud of, we always stay humble. We believe the real magic happens &ndash; for us and for you &ndash; when we OPEN UP.
 
 
 
 
 
 
 AT COCA-COLA HBC, DIVERSITY HELPS US THRIVE
 
 
 
 At Coca-Cola HBC, we are an inclusive employer that thrives on diversity. This means our environment provides equal opportunities for all, regardless of race, color, religion, age, disability, sexual orientation, or gender identity. Join us in nurturing a culture where everyone belongs and contributes to our collective success.
 
</div>

AI Developer

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.
 
 
 Our Forward Deployed AI Scientist and Senior Forward Deployed AI Scientist are part of our rapidly growing team to apply data science methods and analytics to real-world business situations across industries to drive significant business impact. You'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.
 
 
 Additional responsibilities will include developing and delivering thought leadership in scientific communities and papers as well as leading conferences on behalf of BCG X. Successful candidates are intellectually curious builders who are biased toward action, creative, and communicative.
 
 
 We Are Looking For Dedicated Individuals With a Passion For Data Science, Statistics, Operations Research And Redefining Organizations Into AI Led Innovative Companies. Successful Candidates Possess The Following
 
 
 <ul>
 <li>
 Comfortable in a client-facing role with the ambition to lead teams
 </li>
 <li>
 Likes to distill complex results or processes into simple, clear visualizations
 </li>
 <li>
 Explain sophisticated data science concepts in an understandable manner
 </li>
 <li>
 Love building things and are comfortable working with modern development tools and writing code collaboratively (bonus points if you have a software development or DevOps experience)
 </li>
 <li>
 Significant experience applying advanced analytics to a variety of business situations and a proven ability to synthesize complex data
 </li>
 <li>
 Deep understanding of modern machine learning techniques and their mathematical underpinnings, and can translate this into business implications for our clients
 </li>
 <li>
 Have strong project management skills
 
 
 </li>
 </ul>
 What You'll Bring
 
 
 
 Requirements
 
 
 
 4+ years of relevant experience.
 
 
 Master&rsquo;s or PhD degree program in Computer Research Science, Data Science,
 
 Statistics
 
 , Operations Research, or related field
 
 
 
 Technologies
 
 
 
 Programming Languages: Python
 
 
 #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 Scientist, Egypt - BCG X

Nextcare

<div>
 
 What You Do
 
 
 
 <ul>
 <li>
 Manages routine daily claims administration work.
 </li>
 <li>
 Coordinates work flow &amp; meet deadlines.
 </li>
 <li>
 Evaluates claims with regards to eligibility.
 </li>
 <li>
 Takes decisions on high cost and complicated cases based on standard operating procedures.
 </li>
 <li>
 Handles International Preauthorization cases as required.
 </li>
 <li>
 Attends calls and e-mails from insurance companies, clients, and providers.
 </li>
 <li>
 Coordinates with international providers for direct billing.
 </li>
 <li>
 Makes suggestions to improve service.
 </li>
 <li>
 Increases efficiency, minimizes errors and administration time.
 </li>
 <li>
 Analyze data using AI to identify areas for service improvement, increase efficiency, minimize errors, and reduce administration time.
 </li>
 <li>
 AI READINESS Work effectively in an environment shaped by artificial intelligence (AI), machine learning, data, analytics and cloud-based tools, using insights responsibly with our standards of data governance, security and ethical use.
 
 
 </li>
 </ul>
 
 What You Bring
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s of Medicine (MBBS)
 </li>
 <li>
 Medical 1 year Practical Experience in UAE claims, DRG claims and coding skills (reputable insurance provider, broker or a TPA experience a plus).
 </li>
 <li>
 Legally permitted to work in the country of operations.
 </li>
 <li>
 Fluency in MS Office (Excel, Word, Outlook, PowerPoint) and general internet navigation and research skill
 </li>
 <li>
 Technical Skills: Proficiency in MS Office applications and experience with AI software and tools. Skills in data analysis, machine learning, and AI-driven research are highly desirable.
 
 
 </li>
 </ul>
 
 How We Hire
 
 
 
 
 
 Agency Statement
 
 Allianz Partners does not accept unsolicited CV&rsquo;s or approaches from agencies. We only work with partners on our approved supplier list, under
 
 
 contract. Any unsolicited submission will not be considered
 
 
 
 
 What We Offer
 
 
 
 Allianz Partners is a world leader in B2B2C insurance and assistance, offering global solutions that span international health and life, travel insurance, automotive and assistance. Customer driven, our innovative experts are redefining insurance services by delivering future-ready, high-tech high-touch products and solutions that go beyond traditional insurance. Our products are embedded seamlessly into our partners&rsquo; businesses or sold directly to customers, and are available through four commercial brands: Allianz Assistance, Allianz Automotive, Allianz Travel and Allianz Care.
 
 
 At Allianz Partners, Artificial Intelligence (AI) is transforming service delivery and innovation. By leveraging Business Intelligence and Data Analytics, we enhance strategic decision-making and customer experiences. Our commitment to Ethical AI ensures responsible deployment, maintaining data integrity and trust. Conversational AI improves communication, while Emerging Technologies and Generative AI drive industry leadership and new opportunities. With robust Information Security Management, we protect sensitive information, ensuring compliance and security. Embrace the future of AI with Allianz Partners, where possibilities become realities.
 
 
 93654 | Operations | Professional | Non-Executive | Allianz Partners | Full-Time | Permanent
 
 
 Allianz Group is one of the most trusted insurance and asset management companies in the world. Caring for our employees, their ambitions, dreams and challenges, is what makes us a unique employer. Together we can build an environment where everyone feels empowered and has the confidence to explore, to grow and to shape a better future for our customers and the world around us.
 
 
 At Allianz, we stand for unity: we believe that a united world is a more prosperous world, and we are dedicated to consistently advocating for equal opportunities for all. And the foundation for this is our inclusive workplace, where people and performance both matter, and nurtures a culture grounded in integrity, fairness, inclusion and trust.
 
 
 We therefore welcome applications regardless of ethnicity or cultural background, age, gender, nationality, religion, social class, disability or sexual orientation, or any other characteristics protected under applicable local laws and regulations.
 
 
 
 Great to have you on board.
 
 Let's care for tomorrow.
 
 
 Note: Having different strengths, experiences, perspectives and approaches is an integral part of Allianz&lsquo; company culture. One means to achieve this is a regular rotation of Allianz Executive employees across functions, Allianz entities and geographies. Therefore, the company expects from its employees a general openness and a high motivation to regularly change positions and collect experiences across Allianz Group.
</div>

Medical Claims Officer

Finaira

<div>
 
 At FinAIra, we are building the future of financial services, powered by intelligent, data-driven systems. We are seeking a foundational leader for our AI &amp; Machine Learning track. This is a core technology leadership position focused on research, development, and productization, acting as the bridge between our most advanced technical capabilities and the strategic needs of our financial services clients. You will be responsible for the strategic oversight and delivery of critical FinTech products or services. You will lead a team of top-tier scientists and engineers to build proprietary machine learning models that will become our core intellectual property and competitive advantage in the banking and FinTech landscape.
 
 
 
 The difference you will make:
 
 
 
 &middot; Recruit, lead, and mentor teams of world-class data scientists and engineers, fostering a culture of research, innovation, and engineering excellence.
 
 
 &middot; Drive the technical vision and architecture for our AI/ML platform. Design and oversee the development of scalable, production-grade machine learning systems for applications such as fraud detection, credit risk modeling, and agentic AI.
 
 
 &middot; Partner with business development and product management to define new AI-powered service offerings. Ensure our R&amp;D roadmap is directly aligned with market opportunities, revenue goals, and client demand.
 
 
 &middot; Act as the firm's senior technical expert on AI/ML in high-stakes client engagements, discovery workshops, and strategic planning sessions. Translate complex client challenges into tractable machine learning problems.
 
 
 &middot; Guide the team through the entire ML lifecycle, from data ingestion and feature engineering to model training, deployment, and monitoring. You are expected to be able to dive deep into the code and mathematical foundations.
 
 
 &middot; Implement and enforce best practices for the machine learning development lifecycle (MLOps) to ensure robust, repeatable, and high-quality delivery of our AI solutions to clients.
 
 
 &middot; Develop and articulate our firm's point of view on the application of AI in banking and fintech, representing the company through white papers, conference presentations, and executive briefings.
 
 
 &middot; Proactively manage complex service incidents, problems, and changes, ensuring effective communication and resolution with stakeholders.
 
 
 &middot; Drive continuous service improvement initiatives, leveraging data analysis and client feedback to enhance value delivery.
 
 
 &middot; Lead the gathering of critical client feedback and collaborate strategically with business development to enhance service offerings and shape product roadmaps.
 
 
 
 
 
 Requirements
 
 
 
 What you will bring to the role:
 
 
 
 &middot; Bachelor&rsquo;s degree in computer science, Business Administration, or a related field. ITIL Expert or other advanced service management certifications strongly preferred.
 
 
 &middot; 8+ years of professional experience in data science or machine learning, with at least 3 years in a technical leadership or management role.
 
 
 &middot; Experience in a client-facing or technical advisory role, with the ability to communicate complex machine learning concepts to both technical and executive audiences.
 
 
 &middot; Expert-level proficiency in Python and ML frameworks like TensorFlow, PyTorch, or JAX.
 
 
 &middot; Demonstrable experience architecting and deploying ML models into a production environment on a major cloud &amp; on-prem platform (AWS, GCP, Azure, Cloudera).
 
 
 &middot; Strong theoretical understanding of a broad range of machine learning concepts, including deep learning, NLP, and statistical modeling.
 
 
 
 
 
 
 Preferred Qualifications:
 
 
 
 &middot; Experience building and scaling an AI/ML team from an early stage.
 
 
 &middot; Direct experience in the fintech or banking industry, particularly with financial data (e.g., time-series analysis, credit scoring, anti-money laundering (AML)).
 
 
 &middot; A track record of publications in top-tier AI conferences (e.g., NeurIPS, ICML, KDD).
 
 
 &middot; Experience defining go-to-market strategies for technology-driven products or services.
 
 
 
 Soft Skills:
 
 
 
 o Proven ability to inspire, motivate, and mentor senior technical teams and managers.
 
 
 o Outstanding analytical, critical thinking, and complex problem-solving skills, with a focus on systemic improvements and strategic impact.
 
 
 o Superior communication (verbal, written, executive presentations) and negotiation skills, capable of influencing at the executive and board levels.
 
 
 o Strong business acumen with the ability to translate technical AI/ML capabilities into strategic business value and revenue opportunities.
 
 
 o Demonstrated ability to drive cultural change towards innovation and excellence in AI/ML engineering.
 
</div>

Manager, AI Services Engineering

Explore 177+ Artificial intelligence specialist in Cairo this April. Find roles across top companies and apply now to boost your career.

177 artificial intelligence specialist jobs In Cairo

AI Engineer

Senior AI Engineer, AI4ALL

AI Engineer

AI Developer

Forward Deployed AI Scientist, Egypt - BCG X

Medical Claims Officer

Manager, AI Services Engineering