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ArpuPlus - ARPU Telecommunications Services

<div>
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 AI Solution Design and Development:
 </li>
 <ul>
 <li>
 Designing, developing, and deploying complex AI/ML models and systems
 </li>
 <li>
 Selecting and implementing appropriate algorithms and frameworks
 </li>
 <li>
 Building scalable and efficient AI pipelines
 </li>
 </ul>
 <li>
 Model Training and Evaluation:
 </li>
 <ul>
 <li>
 Training and fine-tuning machine learning models using large datasets
 </li>
 <li>
 Evaluating model performance and optimizing for accuracy and efficiency
 </li>
 <li>
 Implementing model monitoring and retraining strategies
 </li>
 </ul>
 <li>
 Software Development and Integration:
 </li>
 <ul>
 <li>
 Integrating AI models into existing software systems
 </li>
 <li>
 Developing APIs and other interfaces for AI services
 </li>
 <li>
 Writing clean, efficient, and well-documented code
 </li>
 </ul>
 <li>
 Research and Innovation:
 </li>
 <ul>
 <li>
 Staying up-to-date with the latest AI research and trends
 </li>
 <li>
 Exploring and evaluating new AI technologies and techniques
 </li>
 <li>
 Contributing to research and development efforts
 </li>
 </ul>
 <li>
 Leadership and Collaboration:
 </li>
 <ul>
 <li>
 Leading and mentoring junior AI engineers
 </li>
 <li>
 Collaborating with cross-functional teams, including data scientists, software engineers, and product managers
 </li>
 <li>
 Communicating complex technical concepts to non-technical stakeholders
 </li>
 </ul>
 <li>
 Solution Architecture:
 </li>
 <ul>
 <li>
 Designing the architecture of AI powered solutions, insuring scalability, and reliability
 
 
 </li>
 </ul>
 </ul>
 
 Requirements
 
 
 
 
 Required Skills and Qualifications:
 
 
 
 <li>
 Education:
 </li>
 <ul>
 <li>
 A bachelor's or master's degree in computer science, artificial intelligence, machine learning, or a related field
 </li>
 </ul>
 <li>
 Experience:
 </li>
 <ul>
 <li>
 Significant experience in AI/ML development, typically 5+ years
 </li>
 <li>
 Proven track record of deploying AI solutions in production environments
 </li>
 <li>
 Experience with deep learning frameworks (TensorFlow, PyTorch, etc.)
 </li>
 <li>
 Experience with cloud platforms (AWS, Azure, GCP)
 </li>
 </ul>
 <li>
 Technical Skills:
 </li>
 <ul>
 <li>
 Proficiency in programming languages such as Python, Java, or C++
 </li>
 <li>
 Strong understanding of machine learning algorithms and deep learning techniques.
 </li>
 <li>
 Experience with natural language processing (NLP), computer vision, or other AI subfields
 </li>
 <li>
 Knowledge of data engineering principles and practices
 </li>
 <li>
 Familiarity with containerization and orchestration tools (Docker, Kubernetes).
 </li>
 <li>
 Soft Skills:
 </li>
 <li>
 Strong problem-solving and analytical skills
 </li>
 <li>
 Excellent communication and collaboration skills.
 </li>
 <li>
 Ability to work independently and as part of a team.
 </li>
 <li>
 Leadership qualities
 </li>
 </ul>
</div>

AI Engineer

EVA pharma

<div>
 
 Join EVA Pharma, a leading pharmaceutical company dedicated to empowering the fight for&nbsp;Health and well-being as a fundamental human right. Recognized and certified as a best place to work, we are committed to fostering a supportive and innovative environment for&nbsp;our team members.
 
 
 
 Job Summary:
 
 
 We are seeking a passionate and talented
 
 Data Scientist II
 
 to join our dynamic team. The&nbsp;ideal candidate will contribute to our mission of enhancing human health and well-being,&nbsp;ensuring that we meet the highest standards of excellence in our industry.
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Collect, clean, and analyze structured and unstructured datasets to uncover insights and support data-driven decisions. Build and validate predictive models and machine learning algorithms to address business and healthcare challenges
 </li>
 <li>
 Apply cutting-edge techniques such as large language models, fine-tuning, and retrieval-augmented generation to create generative AI solutions for areas like drug discovery, clinical research, and patient engagement
 </li>
 <li>
 Conduct statistical tests, identify key patterns and correlations, and design experiments to validate hypotheses and measure impact
 </li>
 <li>
 Translate analytical findings into clear, actionable insights through Power BI dashboards and visual reports that inform strategic and operational decisions
 </li>
 <li>
 Stay current with emerging AI and ML technologies, apply modern data science tools to enhance efficiency, and collaborate with data engineers to deploy and optimize production-ready models
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor's degree in Data Science, Computer Science, Statistics, or a related field
 </li>
 </ul>
 <ul>
 <li>
 2-4 years of experience as a Data Scientist or in a similar analytical role
 </li>
 <li>
 Strong command of Python and SQL, with hands-on experience using machine learning libraries such as scikit-learn, TensorFlow, or PyTorch
 </li>
 <li>
 Familiarity with modern Generative AI frameworks and tools, including Hugging Face and LangChain, is highly desirable, with a Solid foundation in statistics, data analysis, and hypothesis testing, along with proficiency in Power BI for creating dashboards and reports
 </li>
 <li>
 Experience working with cloud platforms (e.g. Azure, or GCP), strong problem-solving abilities, and the capability to communicate complex analytical insights clearly to diverse audiences
 </li>
 </ul>
</div>

Data Scientist II

SDG Group Middle East

<div>
 
 💥
 
 Transform the Future with SDG: Global Leaders in Data &amp; AI
 
 💥
 
 
 
 
 
 SDG Group boasts a robust AI capability with over 200 multidisciplinary experts, including Industry &amp; Business Domain experts, Business Scientist, AI architects &amp; AI Engineers, AI R&amp;D and AI Compliance &amp; Governance Experts.
 
 
 With proven experience across 70+ clients and 100+ use cases, we deliver AI solutions tailored to diverse industries. Our unique IP includes over 50 technology accelerators, frameworks, and tools to fast-track AI implementation. Through SDG iLabs, we drive innovation by experimenting with emerging AI trends. We have strong alliances with major AI hyperscalers like Microsoft, Google, and AWS, and are recognized globally as a top leader in data and AI services. Our 2000+ consultants ensure businesses are AI-ready.
 
 
 Join SDG and be part of something extraordinary! Experience what it truly means to be an expert in Artificial Intelligence. If you're seeking to join a team fully specialized in Data, Analytics, and AI, we can't wait to meet you.
 
 
 
 
 
 
 What You&rsquo;ll Be Doing
 
 ✍
 
 
 
 Build and Maintain Relationships
 
 : Establish trust with clients, gaining their confidence in our solutions. Work closely with them to understand their business needs and translate those into customized AI architecture solutions.
 
 
 
 Develop AI Advocates
 
 : Cultivate deep relationships with senior technical stakeholders, empowering them to become strong advocates for AI.
 
 
 
 Advise on AI Architectures
 
 : Leverage your expertise to guide clients on the most effective AI solutions tailored to their specific challenges.
 
 
 
 Collaborate with Sales
 
 : Provide technical expertise throughout the pre-sales process, helping to secure new business opportunities.
 
 
 
 Stay Ahead of Trends
 
 : Keep up with industry trends and emerging AI technologies to strategically position our offerings in the market.
 
 
 
 Be an AI Evangelist:
 
 Promote AI adoption by guiding clients and partners, contributing to publications, and building strong technical relationships.
 
 
 
 AI Innovative Roadmap Assessment:
 
 Design an innovation strategy aligned with business goals, incorporating partnership exploration, prototyping, governance, and immediate implementation of advanced AI solutions.
 
 
 
 AI Innovative Partnership Adoption:
 
 Leverage SDG's strategic partnerships to integrate advanced technologies such as platforms, models, and infrastructures, ensuring seamless adoption for business impact.
 
 
 
 Drive AI Portfolio Development
 
 : Communicate the value and capabilities of our AI solutions through presentations and hands-on demonstrations.
 
 
 
 
 
 
 What We Look For
 
 👇
 
 
 
 Education
 
 : Degree in mathematics, statistics, computer science, or a similar technical field, ideally with a focus on software engineering.
 
 
 
 Professional Experience
 
 : Proven experience as a Machine Learning Engineer or Architect.
 
 
 
 Technical Knowledge
 
 : Strong understanding of modern technologies foundational to machine learning and AI solutions in the cloud.
 
 
 
 Data Science Expertise
 
 : Theoretical and practical knowledge in data science fundamentals, solution lifecycles, and IAOps methodology.
 
 
 
 Tools Familiarity
 
 : Experience with IA tools such as IAFlow, KubeFlow, AWS SageMaker, and Azure IA Studio.
 
 
 
 Presentation Skills
 
 : Ability to confidently present to a range of stakeholders, including external clients, executives, IT leaders, and developers.
 
 
 
 
 
 
 Recommended Requirements
 
 👇
 
 
 
 Consulting Experience
 
 : Previous consulting work in Data &amp; Analytics or AI projects is highly valued.
 
 
 
 Data Architecture Proficiency
 
 : Strong grasp of data architecture and information modeling strategies.
 
 
 
 Generative AI Knowledge
 
 : Experience with generative AI models, including Large Language Models (LLMs), neural networks, and recommendation systems.
 
 
 
 Technical Expertise
 
 : Familiarity with frameworks like TensorFlow, PyTorch, Hugging Face, and OpenAI&rsquo;s generative AI tools.
 
 
 
 Certifications
 
 : Credentials in cloud platforms or AI architecture are a plus.
 
 
 
 
 
 
 About SDG Group and the Role
 
 🚀
 
 
 SDG Group is a global consulting firm, fully dedicated to Data, Analytics, and AI solutions. We offer end-to-end support across the entire data value chain, providing tailored career paths for those who wish to excel in the world of data. You&rsquo;ll have the chance to work on impactful projects with industry leaders, helping to drive real change.
 
</div>

AI Tech Presales

CNTXT AI

<div>
 
 
 Company Overview
 
 
 
 At Cntxt, our mission is to accelerate the development of AI applications and the large language models (LLMs) that power them. We believe that to create the best models, high-quality data is essential. We provide enterprises with the tools to customize powerful generative models, unlocking the full potential of AI safely and effectively. Our Data Engine offers comprehensive features for collecting, curating, and annotating data, alongside robust tools for model evaluation and optimization.
 
 
 
 
 
 
 Technical Skills Required:
 
 
 <ol>
 <li>
 Artificial Intelligence and Machine Learning (AI/ML): A deep understanding of AI and ML concepts, algorithms, and techniques is essential. This includes knowledge of supervised learning, unsupervised learning, reinforcement learning, neural networks, deep learning architectures (such as CNNs, RNNs, GANs), natural language processing (NLP), computer vision, and related frameworks like TensorFlow, PyTorch, or scikit-learn.
 </li>
 <li>
 Software Development: Strong proficiency in software development principles, practices, and methodologies is necessary. This includes expertise in programming languages commonly used in AI development, such as Python, Go lang, as well as familiarity with software engineering best practices, version control systems (e.g., Git), and agile development methodologies.
 </li>
 <li>
 Data Engineering and Data Management: Knowledge of data engineering principles, including data collection, preprocessing, feature engineering, and data pipelines, is crucial for handling large-scale datasets effectively. Familiarity with databases (SQL and NoSQL), distributed computing frameworks (such as Apache Spark), and data warehousing concepts is also beneficial.
 </li>
 <li>
 Cloud Computing: Proficiency in cloud computing platforms like Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP) is important for deploying and scaling AI applications in the cloud. Skills in containerization technologies (e.gDocker, Kubernetes) and serverless computing are also valuable for optimising infrastructure resources.
 </li>
 <li>
 Model Deployment and Productionisation: Understanding how to deploy machine learning models into production environments is essential. This includes knowledge of model serving frameworks (e.g., TensorFlow Serving, PyTorch Serve), containerization for model deployment, continuous integration/continuous deployment (CI/CD) pipelines, and monitoring/model performance tracking.
 </li>
 <li>
 Data Privacy and Ethics: Awareness of data privacy regulations (e.g., GDPR, CCPA) and ethical considerations in AI development is important for ensuring compliance and responsible use of AI technologies. This includes knowledge of privacy-preserving techniques, bias mitigation strategies, and ethical AI principles.
 </li>
 <li>
 Cybersecurity: Understanding cybersecurity principles and best practices is essential for safeguarding AI systems against potential threats and vulnerabilities. This includes knowledge of secure coding practices, encryption techniques, network security, and threat detection/mitigation strategies.
 </li>
 <li>
 Domain Knowledge: Depending on the specific industry or application domain of the AI company (e.g., healthcare, finance, autonomous vehicles), domain-specific knowledge and expertise may be required to effectively develop and deploy AI solutions that address industry-specific challenges and requirements.
 </li>
 </ol>
 
 
</div>

Chief Technology Officer

QuantumBlack, AI by McKinsey

<div>
 
 Who You'll Work With
 
 
 
 Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.
 
 
 In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues&mdash;at all levels&mdash;will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won&rsquo;t find anywhere else.
 
 
 When you join us, you will have:
 
 
 <ul>
 <li>
 Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
 </li>
 <li>
 A voice that matters: From day one, we value your ideas and contributions. You&rsquo;ll make a tangible impact by offering innovative ideas and practical solutions. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
 </li>
 <li>
 Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm&rsquo;s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you&rsquo;ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
 </li>
 <li>
 World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.
 
 
 </li>
 </ul>
 
 Your Impact
 
 
 
 You will use data creatively to solve business challenges, often uncovering new and transformative opportunities along the way.
 
 
 In this role, you will focus on the development of advanced analytics models to optimize underlying business problems. You will apply state-of-the-art advanced analytics, quantitative tools and modeling techniques to interpret, make inferences and offer recommendations based on insights from the data. You will shape the future of what data-driven organizations look like, drive processes for extracting and using that data in creative ways and create new lines of thinking within an infinite number of clients and situations.
 
 
 You will create valuable, transformative business strategies through the measurement, manipulation, reporting and dissemination of broad sets of data. You will apply and advise on state-of-the-art advanced analytic and quantitative tools and modeling techniques to derive business insights, solve complex business problems and improve decisions. You will review, support and advise on the day-to-day analytics requirements of clients&rsquo; key operational processes while continually improving the impact of these processes.
 
 
 You will be based in our Cairo or Riyadh office as part of our QuantumBlack, AI by McKinsey team, partnering with consultants, clients, and other colleagues.
 
 
 Our QuantumBlack, AI by McKinsey team brings the latest analytical techniques plus a deep understanding of industry dynamics and corporate functions to help clients create the most value from data.
 
 
 
 Your Qualifications and Skills
 
 
 
 <ul>
 <li>
 Undergraduate degree in mathematics, statistics, physics, engineering; master's degree is a plus
 </li>
 <li>
 3+ years of professional experience in programming; experience applied to business problems is a plus
 </li>
 <li>
 Experience in programming (focus on machine learning) in Python; knowledge in SPSS, SAS, Ruby, Hadoop is a plus
 </li>
 <li>
 Experience in data treatment/data mining: SQL, AWK, Access, Spark, Excel
 </li>
 <li>
 Demonstrated aptitude for analytics; statistical knowledge is a plus
 </li>
 <li>
 Proven record of leadership in a work setting and/or through extracurricular activities
 </li>
 <li>
 Ability to work collaboratively in a team environment and effectively with people at all levels in an organization
 </li>
 <li>
 Ability to communicate complex ideas effectively, both verbally and in writing, in English; fluency in local office language(s) is a plus
 </li>
 </ul>
</div>

Data Scientist - QuantumBlack, AI by McKinsey

Grand Technology

Location: El Sheikh Zayed – Beverly Hills Company: Grand Technology Employment Type: Full-Time - Onsite&nbsp; &nbsp;<h3>About the Role &nbsp;</h3>Grand Technology is seeking a highly skilled and innovative Senior AI &amp; Automation Engineer to lead the design, development, and deployment of Generative AI solutions, intelligent chatbots, and automation frameworks. This role is pivotal in driving our digital transformation initiatives, enhancing customer experiences, and streamlining operations through cutting-edge AI and automation technologies. &nbsp;<h3>Key Responsibilities &nbsp;</h3><h4>AI &amp; GenAI Development</h4>&nbsp;<ul><li>Design, build, and optimize Generative AI models (LLMs, NLP, text, and multimodal AI) for business use cases.</li><li>Develop scalable AI pipelines for training, fine-tuning, and deploying models.</li><li>Research and implement the latest advancements in transformers, RAG (Retrieval Augmented Generation), and conversational AI.</li></ul>&nbsp;<h4>Chatbot &amp; Conversational AI</h4>&nbsp;<ul><li>Architect, develop, and maintain chatbots and virtual assistants using advanced NLP and AI frameworks.</li><li>Integrate chatbots with enterprise systems (CRM, ERP, HRMS, etc.) for end-to-end process automation.</li><li>Continuously improve conversational flows, intent recognition, and user engagement.</li></ul>&nbsp;<h4>Automation &amp; Process Optimization</h4>&nbsp;<ul><li>Lead automation initiatives across business processes using RPA, AI-driven decision systems, and workflow orchestration tools.</li><li>Collaborate with business stakeholders to identify automation opportunities that deliver measurable ROI.</li><li>Ensure high availability, security, and scalability of automation platforms.</li></ul>&nbsp;<h4>Collaboration &amp; Leadership</h4>&nbsp;<ul><li>Partner with cross-functional teams (Product, Data, Operations, IT) to align AI and automation initiatives with business goals.</li><li>Mentor junior engineers and guide them on best practices in AI/ML engineering and automation.</li><li>Prepare technical documentation, PoCs, and presentations for both technical and business stakeholders.</li></ul>&nbsp;<h3>Requirements</h3>&nbsp;<ul><li>Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or related field.</li><li>5+ years of experience in AI/ML engineering and automation solutions.</li><li>Proven hands-on experience with:</li><li>GenAI / LLMs (OpenAI, Anthropic, Hugging Face, LangChain, RAG pipelines).</li><li>NLP frameworks (spaCy, NLTK, Transformers).</li><li>Chatbot platforms (Dialogflow, Rasa, Microsoft Bot Framework, custom-built AI assistants).</li><li>Automation tools (UiPath, Automation Anywhere, Power Automate, or custom Python automation).</li><li>Strong programming skills in Python.</li><li>Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices (CI/CD, model monitoring, Docker containerization).</li><li>Solid understanding of data engineering and integration with APIs and databases.</li><li>Strong problem-solving, analytical, and communication skills.</li></ul>

Senior AI & Automation Engineer

Microsoft

<div>
 Join the Microsoft Shopping team! We deliver smart shopping experiences with personalization, savings, transparency, and convenience, ensuring confidence in every purchase. Microsoft Shopping is your personal shopping companion, empowering customers to shop smarter and discover what they love. By harnessing the power of AI (artificial intelligence), LLMs (large language models) and LLM-based Agents, we are building best-in-class shopping experiences across Bing, MSN, and Edge. If you are passionate about transforming the online shopping experience for millions of users, this role is for you.
 
 
 We are seeking a
 
 Senior Applied Scientist
 
 who is passionate about machine learning, data analysis, and ML (machine learning) modeling to join our team. Your expertise will drive innovation and ensure the team is aligned with the Microsoft Shopping vision. This position offers a unique blend of scientific research, innovation, and strategic influence, allowing you to make a significant impact on both the team and the overall shopping experience at Microsoft Shopping.
 
 
 Microsoft&rsquo;s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Leverage state-of-art machine learning techniques to provide best personalized experience to end users.
 </li>
 <li>
 Originate, implement, and iterate on machine learning features &amp; models to keep improving our product quality.
 </li>
 <li>
 Closely collaborate with different teams within Microsoft to expose best personalized contents to end users, enable agile development &amp; experiments, deliver cross-team impact.
 </li>
 <li>
 Team lead and mentor resources across projects.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Required Qualifications:
 
 
 
 <ul>
 <li>
 Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research)
 </li>
 <ul>
 <li>
 OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
 </li>
 <li>
 OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
 </li>
 <li>
 OR equivalent experience.
 </li>
 </ul>
 <li>
 3+ years of industry experiences in machine learning or Natural Language Processing.
 </li>
 <li>
 Experience with LLMs (prompting, fine tuning, deployment).
 </li>
 <li>
 Experience with coding including programming language, including, but not limited to, Python, C, C++, C#, Java, JavaScript.
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Demonstrated ability to be productive and effective in a highly collaborative environment.
 </li>
 <li>
 Experience in Big Data machine learning with Cosmos/Scope/Spark/.
 </li>
 <li>
 Experience with design, problem solving, and data analysis skills, with demonstrated passion for quality, performance, and engineering excellence.
 
 
 </li>
 </ul>
 #MicrosoftAI #LLM #Shopping #Personalization #FineTuning #Prompting
 
 
 Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
</div>

Senior Applied Scientist

Explore 252+ Machine learning engineer in Cairo this October. Find roles across top companies and apply now to boost your career.