ai engineer

senior ai engineer

senior software engineer

machine learning engineer

Appgain

APPGAIN is seeking an innovative and experienced AI Engineer to join our dynamic team. As an AI Engineer, you will be instrumental in designing, developing, and deploying cutting-edge artificial intelligence and machine learning solutions that address complex business challenges. You will work at the intersection of data science, software engineering, and operations to bring AI models from research to production.Responsibilities:<ul><li>Design, develop, and implement scalable AI models and algorithms using machine learning and deep learning techniques.</li><li>Build and manage robust AI development and production infrastructure, including data pipelines and MLOps workflows.</li><li>Collaborate with data scientists, product managers, and other stakeholders to translate business requirements into AI-driven solutions.</li><li>Integrate AI models into existing software systems and applications, ensuring seamless functionality and performance.</li><li>Conduct statistical analysis and interpret results to optimize AI models and guide decision-making.</li><li>Perform model testing, validation, and debugging to ensure accuracy, reliability, and efficiency.</li><li>Monitor and maintain deployed AI systems, identifying and resolving issues, and continuously optimizing performance.</li><li>Stay up-to-date with the latest advancements in AI research, technologies, and industry best practices.</li><li>Contribute to the adoption of AI best practices across teams and promote a data-driven culture.</li><li>Document machine learning processes, models, and solutions thoroughly.</li></ul>Qualifications:<ul><li>Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related quantitative field.</li><li>Proven experience as an AI Engineer, Machine Learning Engineer, or a similar role, with a strong portfolio of deployed AI solutions.</li><li>Proficiency in programming languages commonly used in AI, such as Python (with libraries like TensorFlow, PyTorch, Keras) or Java.</li><li>Solid understanding of machine learning algorithms (e.g., supervised, unsupervised, reinforcement learning) and deep learning neural networks.</li><li>Experience with big data technologies (e.g., Apache Spark, Hadoop, MongoDB) and data processing techniques.</li><li>Strong knowledge of SQL and experience with database modeling and management.</li><li>Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and their AI/ML services.</li><li>Excellent problem-solving, analytical, and critical thinking skills.</li><li>Strong communication and interpersonal skills, with the ability to explain complex technical concepts to non-technical stakeholders.</li><li>Ability to work effectively in an agile, fast-paced, and collaborative environment.</li><li>Experience with Natural Language Processing (NLP), Computer Vision, or Reinforcement Learning.</li><li>Knowledge of MLOps tools and practices (e.g., MLflow, Kubeflow, Docker, Kubernetes).</li><li>Experience with prompt engineering for Large Language Models (LLMs).</li><li>Familiarity with software design patterns and principles.</li><li>Contributions to open-source AI projects or relevant publications.</li></ul>Job Type: full time on siteJob Type: Full-timeEducation:<ul><li>Bachelor's (Preferred)</li></ul>Experience:<ul><li>AI Engineer: 3 years (Preferred)</li><li>machine learning algorithms : 3 years (Preferred)</li><li>big data technologies : 3 years (Preferred)</li></ul>

AI Engineer

Grand Technology

Job Overview Grand Technology is seeking an experienced and passionate Senior AI Engineer to join our dynamic team in Giza, Egypt. This is a Full-Time position for a professional who is keen to work at the forefront of digital innovation. As a subsidiary of the Mohammed Saif Thabet Group, Grand Technology has established itself since 2006 as a next-generation digital solutions company. We are committed to helping our clients design for the future by providing the latest technology and regional expertise. As a Senior AI Engineer, you will play a pivotal role in developing and implementing cutting-edge AI solutions that drive our business and our clients' success forward. You will be part of a vibrant company culture where teamwork and continuous improvement are at the core of our DNA, fostering an environment where innovation thrives. Responsibilities * Lead the design, development, and deployment of sophisticated artificial intelligence and machine learning models to solve complex business challenges. * Collaborate closely with cross-functional teams, including product managers and software developers, to identify opportunities for AI integration and to define project requirements. * Mentor junior engineers, providing technical guidance and fostering a culture of knowledge sharing and professional growth. * Manage the end-to-end lifecycle of AI projects, from data acquisition and preprocessing to model training, evaluation, and deployment in production environments. * Stay abreast of the latest advancements in AI, machine learning, and deep learning, and champion the adoption of new technologies and methodologies. * Ensure the robustness, scalability, and performance of our AI systems, conducting rigorous testing and optimisation. * Communicate complex technical concepts and project outcomes effectively to both technical and non-technical stakeholders. Qualifications * A Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related technical field. * Proven commercial experience in a similar role, with a strong portfolio of successfully delivered AI/ML projects. * Expert proficiency in Python and extensive experience with major AI/ML frameworks such as TensorFlow, PyTorch, and scikit-learn. * A deep theoretical and practical understanding of machine learning algorithms, deep learning architectures, natural language processing (NLP), and computer vision. * Experience with cloud computing platforms (e.g., AWS, Azure, Google Cloud) and deploying machine learning models at scale. * Exceptional analytical and problem-solving skills, with a meticulous attention to detail. * Strong leadership qualities and excellent communication skills, with the ability to work effectively within a collaborative team environment. Benefits * A competitive salary and comprehensive benefits package. * The opportunity to work on pioneering projects that shape the future of digital solutions. * A supportive and collaborative work environment that encourages innovation and creativity. * Significant opportunities for professional development and career progression within a leading technology organisation. * A role in a results-driven organisation committed to delivering excellence for its clients and partners.

Senior AI Engineer

Digital Egypt For Investment Co.

<div>
 As a
 
 Senior Data Scientist
 
 ,you will lead the design and execution of advanced data science projects that drive strategic business decisions. This role requires a deep understanding of machine learning, statistical modeling, and data analytics to uncover insights and deliver impactful solutions. You will collaborate with cross-functional teams to translate complex data into actionable strategies, mentor junior team members, and contribute to the continuous improvement of Teradata&rsquo;s data science capabilities.
 
 
 
 Key Duties And Responsibilities
 
 
 
 <ul>
 <li>
 Lead Data Science Projects: Manage the full lifecycle of data science initiatives&mdash;from problem definition and data exploration to model development and deployment.
 </li>
 <li>
 Build Predictive Models: Design and implement machine learning and statistical models to solve business challenges and forecast outcomes.
 </li>
 <li>
 Analyze Complex Datasets: Perform deep data analysis to identify trends, patterns, and opportunities for optimization.
 </li>
 <li>
 Collaborate Across Teams: Work closely with data engineers, product managers, and business stakeholders to align data solutions with organizational goals.
 </li>
 <li>
 Deploy and Monitor Models: Ensure models are scalable, reliable, and integrated into production systems with ongoing performance monitoring.
 </li>
 <li>
 Mentor and Guide: Support the growth of junior data scientists by sharing best practices, reviewing work, and fostering a culture of continuous learning.
 </li>
 <li>
 Communicate Insights: Present findings clearly to both technical and non-technical audiences, turning data into compelling narratives and strategic recommendations.
 </li>
 <li>
 Stay Current: Keep up with the latest advancements in AI, machine learning, and data science to enhance existing methodologies and tools.
 
 
 </li>
 </ul>
 
 Must-Have Qualifications
 
 
 
 <ul>
 <li>
 Minimum 5 years of experience in data science or analytics
 </li>
 <li>
 Proficiency in Python and SQL
 </li>
 <li>
 Strong foundation in statistical analysis and machine learning
 </li>
 <li>
 Expertise in deep learning algorithms and Generative AI (GenAI)
 </li>
 <li>
 Excellent communication and presentation skills
 </li>
 </ul>
</div>

Senior Data Scientist

Agoda

<div>
 
 About Agoda
 
 
 
 Agoda is an online travel booking platform for accommodations, flights, and more. We build and deploy cutting-edge technology that connects travelers with a global network of 4.7M hotels and holiday properties worldwide, plus flights, activities, and more. Based in Asia and part of Booking Holdings, our 7,100+ employees representing 95+ nationalities in 27 markets foster a work environment rich in diversity, creativity, and collaboration. We innovate through a culture of experimentation and ownership, enhancing the ability for our customers to experience the world.
 
 
 
 Our Purpose -
 
 
 Bridging the World Through Travel
 
 
 
 We believe travel allows people to enjoy, learn and experience more of the amazing world we live in. It brings individuals and cultures closer together, fostering empathy, understanding and happiness.
 
 
 We are a skillful, driven and diverse team from across the globe, united by a passion to make an impact. Harnessing our innovative technologies and strong partnerships, we aim to make travel easy and rewarding for everyone.
 
 
 
 Get to Know Our Team
 
 
 
 The Data department , based in Bangkok , oversees all of Agoda&rsquo;s data-related requirements. Our ultimate goal is to enable and increase the use of data in the company through creative approaches and the implementation of powerful resources such as operational and analytical databases, queue systems, BI tools, and data science technology. We hire the brightest minds from around the world to take on this challenge and equip them with the knowledge and tools that contribute to their personal growth and success while supporting our company&rsquo;s culture of diversity and experimentation. The role the Data team plays at Agoda is critical as business users, product managers, engineers, and many others rely on us to empower their decision making. We are equally dedicated to our customers by improving their search experience with faster results and protecting them from any fraudulent activities. Data is interesting only when you have enough of it, and we have plenty. This is what drives up the challenge as part of the Data department, but also the reward.
 
 
 
 The Opportunity
 
 
 
 
 Please note -The role will be based in Bangkok.
 
 
 
 We are looking for ambitious and agile data scientists that would like to seize the opportunity to work on some of the most challenging productive machine learning and big data platforms worldwide, processing some 600B events every day and making some 5B predictions.
 
 
 As part of the Data Science and Machine Learning (AI/ML) team you will be exposed to real-world challenges such as: dynamic pricing, predicting customer intents in real time, ranking search results to maximize lifetime value, classifying and deep learning content and personalization signals from unstructured data such as images and text, making personalized recommendations, innovating algorithm-supported promotions and products for supply partners, discovering insights from big data, and innovating the user experience. To tackle these challenges, you will have the opportunity to work on one of the world's largest ML infrastructure employing dozens of GPUs working in parallel, 30K+ CPU cores and 150TB of memory.
 
 
 
 In This Role, You&rsquo;ll Get to
 
 
 
 <ul>
 <li>
 Design, code, experiment and implement models and algorithms to maximize customer experience, supply side value, business outcomes, and infrastructure readiness.
 </li>
 <li>
 Mine a big data of hundreds of millions of customers and more than 600M daily user generated events, supplier and pricing data, and discover actionable insights to drive improvements and innovation.
 </li>
 <li>
 Work with developers and a variety of business owners to deliver daily results with the best quality.
 </li>
 <li>
 Research discover and harness new ideas that can make a difference
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Need To Succeed
 
 
 
 <ul>
 <li>
 4+ years hands-on data science experience.
 </li>
 <li>
 Excellent understanding of AI/ML/DL and Statistics, as well as coding proficiency using related open source libraries and frameworks.
 </li>
 <li>
 Significant proficiency in SQL and languages like Python, PySpark and/or Scala.
 </li>
 <li>
 Can lead, work independently as well as play a key role in a team.
 </li>
 <li>
 Good communication and interpersonal skills for working in a multicultural work environment.
 
 
 </li>
 </ul>
 
 It&rsquo;s Great if You Have
 
 
 
 <ul>
 <li>
 PhD or MSc in Computer Science / Operations Research / Statistics or other quantitative fields
 </li>
 <li>
 Experience in NLP, image processing and/or recommendation systems
 </li>
 <li>
 Hands on experience in data engineering, working with big data framework like Spark/Hadoop
 </li>
 <li>
 Experience in data science for e-commerce and/or OTA
 
 
 </li>
 </ul>
 
 We welcome both local and international applications for this role. Full visa sponsorship and relocation assistance available for eligible candidates.
 
 
 
 #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #sydney #melbourne #perth #toronto #vancouver #montreal #shanghai #beijing #shenzhen #prague #Brno #Ostrava #cairo #alexandria #giza #estonia #paris #berlin #munich #hamburg #stuttgart #cologne #frankfurt #hongkong #budapest #jakarta #bali #dublin #telaviv #milan #rome #venice #florence #naples #turin #palermo #bologna #tokyo #osaka #kualalumpur #malta #amsterdam #oslo #manila #warsaw #krakow #doha #alrayyan #riyadh #jeddah #mecca #medina #singapore #seoul #barcelona #madrid #stockholm #zurich #taipei #tainan #taichung #kaohsiung #bangkok #Phuket #istanbul #london #manchester #edinburgh #hcmc #hanoi #lodz #wroclaw #poznan #katowice #rio #salvador #newdelhi #bangalore #bandung #yokohama #nagoya #okinawa #fukuoka #jerusalem #mumbai #bengalulu #hyderabad #pune # #IT #4
 
 
 
 Discover More About Working At Agoda
 
 
 
 <ul>
 <li>
 Agoda Careers https://careersatagoda.com
 </li>
 <li>
 Facebook https://www.facebook.com/agodacareers/
 </li>
 <li>
 LinkedIn https://www.linkedin.com/company/agoda
 </li>
 <li>
 YouTube https://www.youtube.com/agodalife
 
 
 </li>
 </ul>
 
 Equal Opportunity Employer
 
 
 
 At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person&rsquo;s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
 
 
 We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
 
 
 
 Disclaimer
 
 
 
 We do not accept any terms or conditions, nor do we recognize any agency&rsquo;s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.
 
 
</div>

Lead/ Staff Data Scientist (Bangkok based, relocation provided)

Senior Data Scientist (Bangkok based, relocation provided)

VOIS

<div>
 
 Who We Are
 
 
 
 VOIS (Vodafone Intelligent Solutions) is a strategic arm of Vodafone Group Plc, creating value for customers by delivering intelligent solutions through Talent, Technology &amp; Transformation.
 
 
 As the largest shared services organisation in the global telco industry with 30,000 FTE, our portfolio of next-generation solutions and services are designed in partnership with customers across Vodafone Group, local markets, and partner markets to simplify and drive growth. With our strategic partner Accenture, we work alongside our Vodafone customers, other Telco and tech companies to drive transformation, meet the challenges of our industry and ensure we stay relevant and resilient. This partnership is a unique, industry-first model which brings together the best of in-house and 3rd party capability.
 
 
 We work with customers across 28 countries from 10 VOIS locations: Albania, Egypt, Hungary, India, Romania, Spain, Turkey, UK, Germany, Ireland, and with a network of teams in Czech Republic, Italy, Greece, and Portugal.
 
 
 #VOIS #BeUnrivalled #CreateTheFuture
 
 
 
 About This Role
 
 
 
 
 What you&rsquo;ll do
 
 
 
 <ul>
 <li>
 Build, test, and deliver new analytics models using diverse datasets to support business use cases
 </li>
 <li>
 Prepare and cleanse data, optimise SQL and NoSQL queries, and implement statistical models
 </li>
 <li>
 Develop descriptive and predictive models for specific market segments, products, and services
 </li>
 <li>
 Collaborate with commercial teams to present actionable insights derived from analytical results
 </li>
 <li>
 Support product management in identifying customer-facing analytics use cases for roadmap planning
 </li>
 <li>
 Contribute to defining lifecycle processes for analytics to enable fast and cost-effective development
 </li>
 <li>
 Participate in business analysis and document specifications for information requests
 
 
 
 </li>
 </ul>
 
 Who You Are
 
 
 
 <ul>
 <li>
 Experienced in advanced analytics techniques including descriptive, predictive, and optimisation models
 </li>
 <li>
 Skilled in handling complex, high-volume data, preferably within Hadoop/Spark environments
 </li>
 <li>
 Proficient in SQL and databases such as Teradata, Oracle, and MySQL
 </li>
 <li>
 Strong knowledge of machine learning techniques and their real-world applications
 </li>
 <li>
 Hands-on experience with statistical tools like Python, R, SAS EM, MATLAB, SPSS, and Teradata Warehouse Miner
 </li>
 <li>
 Holds a degree in Computer Science, Engineering, Applied Mathematics, or Statistics (MS/Ph.D. preferred)
 </li>
 <li>
 Comfortable working in international, distributed teams with agile methodologies
 </li>
 <li>
 Excellent communication, analytical, and troubleshooting skills
 </li>
 <li>
 Innovative thinker with a flexible, proactive attitude and strong coordination capabilities
 </li>
 <li>
 Fluent in English, both written and spoken
 
 
 
 </li>
 </ul>
 
 Not a Perfect Fit?
 
 
 
 
 What&rsquo;s In It For You
 
 
 
 
 What skills you will learn
 
 
 
 
 VOIS Equal Opportunity Employer Commitment
 
 
 
 
 Join Us
 
 
 
 At Vodafone, we&rsquo;re working hard to build a better future. A more connected, inclusive and sustainable world. As a dynamic global community, it's our human spirit, together with technology, that empowers us to achieve this.
 
 
 We challenge and innovate in order to connect people, businesses, and communities across the world. Delighting our customers and earning their loyalty drive us, and we experiment, learn fast and get it done, together.
 
 
 With us, you can be truly be yourself and belong, share inspiration, embrace new opportunities, thrive, and make a real difference.
 
 
 
 Alert
 
 
 
 Apply for Vodafone jobs only through the official Vodafone Careers website to avoid job scams and fraud.
 
 
 #JDEnhancedByTARA
 
 
 
 Follow us on social media and #StayConnected
 
 
 
 <ul>
 <li>
 LinkedIn
 </li>
 <li>
 Facebook
 </li>
 <li>
 Instagram
 </li>
 <li>
 Chat with our employees to learn more about our projects
 </li>
 </ul>
</div>

Sr. Data Scientist (VOIS)

Rackspace Technology

<div>
 As a full spectrum AWS integrator, we assist hundreds of companies to realize the value, efficiency, and productivity of the cloud. We take customers on their journey to enable, operate, and innovate using cloud technologies &ndash; from migration strategy to operational excellence and immersive transformation.
 
 
 If you like a challenge, you&rsquo;ll love it here, because we&rsquo;re solving complex business problems every day, building and promoting great technology solutions that impact our customers&rsquo; success. The best part is, we&rsquo;re committed to you and your growth, both professionally and personally.
 
 
 
 Overview
 
 
 
 We&rsquo;re looking for a talented and driven Full Stack Engineer to join our dynamic team and help design, build, and scale modern, cloud-based software solutions. In this role, you&rsquo;ll work across the stack using Node, React, Angular, Python, and AWS, contributing to both backend and frontend development in a fast-paced, Agile environment. You'll have the opportunity to lead technical decisions, mentor peers, and shape scalable architecture using microservices, containerization (Docker/ECS), API Gateway, and Infrastructure-as-Code (Terraform). If you thrive on collaboration, continuous learning, and building robust solutions that make an impact, we&rsquo;d love to hear from you.
 
 
 If you get a thrill working with cutting-edge technology and love to help solve customers&rsquo; problems, we&rsquo;d love to hear from you. It&rsquo;s time to rethink the possible. Are you ready?
 
 
 
 What you'll be doing:
 
 
 
 <ul>
 <li>
 Proficient in React.js, Next.js, and TypeScript for building responsive, scalable web interfaces
 </li>
 <li>
 Skilled in HTML5, CSS3, JavaScript (ES6+), and Tailwind CSS or Material UI
 </li>
 <li>
 Experience with state management (Redux, Context API, or Zustand) and component-driven development
 </li>
 <li>
 Strong experience with Node.js and Express.js for building RESTful APIs and microservices
 </li>
 <li>
 Proficient in Python (Flask / FastAPI / Django) for backend logic, automation, and API development
 </li>
 <li>
 Skilled in designing serverless applications and integrating backend services with frontend applications
 </li>
 <li>
 Hands-on experience with AWS Lambda, API Gateway, Cognito, S3, DynamoDB, RDS, CloudFormation, and CloudWatch
 </li>
 <li>
 Familiar with IAM, VPC, and Networking concepts for secure, scalable deployments
 </li>
 <li>
 CI/CD using AWS CodePipeline, GitHub Actions, or Jenkins
 </li>
 <li>
 Knowledge of containerization and orchestration using Docker and AWS ECS/EKS
 </li>
 <li>
 Proficient with SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, DynamoDB)
 </li>
 <li>
 Knowledge of data modeling, query optimization, and ORMs (SQLAlchemy, Prisma, or Sequelize)
 </li>
 <li>
 Experience with unit, integration, and end-to-end testing using tools like Jest, PyTest, or Cypress
 </li>
 <li>
 Strong understanding of CI/CD pipelines, automated testing, and code quality standards
 </li>
 <li>
 Proficient with Git, GitHub, and GitFlow workflows
 </li>
 <li>
 Experience working in Agile / Scrum teams with tools like Jira, Confluence, and Teams
 
 
 
 </li>
 </ul>
 
 Qualifications &amp; Skills:
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Software Engineering, or related field (or equivalent experience)
 </li>
 <li>
 3&ndash;7+ years of experience developing full-stack applications using Python, Node.js and React
 </li>
 <li>
 Proven experience deploying, maintaining, and monitoring applications on AWS
 </li>
 <li>
 Strong understanding of software architecture, API design, and security best practices
 </li>
 <li>
 Excellent problem-solving, debugging, and optimization skills
 </li>
 <li>
 Strong communication skills and ability to collaborate with cross-functional teams
 </li>
 <li>
 Experience with GraphQL, Serverless Framework, or Terraform
 </li>
 <li>
 Familiarity with AWS CDK, EventBridge, and Step Functions
 </li>
 <li>
 Knowledge of microservices architecture and event-driven systems
 </li>
 <li>
 Exposure to machine learning APIs or data pipelines in AWS (SageMaker, Glue, Athena)
 
 
 
 </li>
 </ul>
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. 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>

Full Stack Engineer (AWS)

Explore 80+ Machine learning engineer in Giza this November. Find roles across top companies and apply now to boost your career.