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Experience Level
Mid to Senior
About the job
As a Senior Data Engineer specializing in Machine Learning (ML) and Artificial Intelligence (AI), you will be instrumental in developing and sustaining data pipelines tailored for ML/AI applications. Your efforts will focus on managing extensive datasets, including unstructured and semi-structured information, to ensure our analytics and machine learning initiatives are grounded in high-quality data.
Your Responsibilities
Design, implement, and optimize data pipelines specifically for ML/AI scenarios, ensuring effective handling of large-scale datasets.
Construct feature pipelines and feature stores that promote data reusability and consistency for machine learning models.
Work closely with Data Scientists and ML Engineers to clarify data needs for model training, validation, and deployment.
Guarantee that data quality, lineage, and governance adhere to the standards necessary for AI/ML applications.
Facilitate MLOps practices by integrating data pipelines into model training, monitoring, and deployment processes.
Utilize distributed processing frameworks (e.g., Spark, Databricks, Azure Synapse) for scalable ML data processing.
Role OverviewAs a Senior Data Engineer specializing in Machine Learning (ML) and Artificial Intelligence (AI), you will be instrumental in developing and sustaining data pipelines tailored for ML/AI applications. Your efforts will focus on managing extensive datasets, including unstructured and semi-structured information, to ensure our analytics and machine…
Join our dynamic team at mylo-btech as a Senior Machine Learning Back-end Engineer, where you'll play a crucial role in shaping the future of technology.Key Responsibilities:End-to-End Modeling: Collaborate in the training and refinement of machine learning models across diverse business sectors utilizing contemporary Python libraries.Engineering Integration: Partner with our team to make models accessible through APIs. Gain insights into implementing Feature Store definitions while ensuring data integrity for real-time application.Data Operations: Oversee data preparation and analysis using SQL and Python. Acquire skills in managing datasets with Data Version Control tools to monitor modifications.Code Quality: Produce clean, modular, and thoroughly tested code. Engage in peer code reviews and utilize version control (Git) as part of your daily routine.Continuous Learning: Engage in our comprehensive induction program to master our specialized tools for model serving, package management, and system monitoring.
Si-Ware Systems stands at the forefront of semiconductor and spectroscopy innovations, delivering cutting-edge devices and software solutions that facilitate material analysis across diverse industries.We cultivate a vibrant work culture that emphasizes innovation, teamwork, and lifelong learning, empowering our employees to explore and redefine technological frontiers.As a Machine Learning Engineer, you will be instrumental in designing, implementing, and deploying applied machine learning solutions that enhance real-world spectroscopy devices and advance emerging physical AI systems.You will operate at the confluence of machine learning, software engineering, and intelligent hardware integration.
Role Overview talent3600 is hiring an Operations Specialist to support data annotation and machine learning projects. This remote position is based in Cairo, Cairo Governorate, Egypt. What You Will Do Ensure data annotations meet quality and accuracy standards for machine learning workflows. Support ongoing data-driven projects by maintaining high standards in annotation processes. Apply strong attention to detail and analytical thinking to help improve machine learning outcomes. Location Remote , Cairo, Cairo Governorate, Egypt
Join Integrant as a Lead AI Platform Engineer and be a pivotal force in revolutionizing our AI capabilities.The Lead AI Platform Engineer will be instrumental in integrating AI workloads with robust production-grade infrastructure, focusing on leveraging the NVIDIA AI stack to deliver high-performance, scalable, and optimized AI systems.This role emphasizes model optimization, runtime efficiency, and GPU utilization to ensure that AI workloads are ready for production, cost-effective, and highly effective in enterprise environments.Key Responsibilities:Transform AI/ML workloads into optimized infrastructure and deployment strategies.Enhance model performance within GPU environments, focusing on latency, throughput, and memory utilization.Design and execute inference and training pipelines utilizing NVIDIA stack tools like TensorRT, Triton, and NIM.Convert and optimize models across various frameworks (e.g., PyTorch to ONNX to TensorRT).Identify and mitigate performance bottlenecks through the use of profiling tools (GPU, memory, network).Boost GPU utilization and scheduling efficiency across clusters.Architect scalable distributed training and inference frameworks.Collaborate with clients to outline AI infrastructure strategies and deployment models.Oversee production deployments, ensuring effective monitoring, rollback, and performance validation.Conduct applied research to enhance model efficiency and infrastructure utilization.Guide team members in AI infrastructure, optimization, and GPU systems.Utilize experiment tracking tools (MLflow, W&B, Neptune) to log parameters, metrics, and artifacts for analysis.Detect model degradation post-deployment due to issues like concept drift, data pipeline alterations, and traffic pattern changes.Perform root cause analysis (RCA) on ML systems by isolating variables and reproducing issues.
Job ResponsibilitiesArchitect and sustain data pipelines tailored for ML/AI workloads, effectively managing large-scale, unstructured, and semi-structured data sets.Create feature pipelines and stores to ensure data reusability and consistency for machine learning initiatives.Work alongside Data Scientists and ML Engineers to define data needs for training, validation, and deployment of models.Guarantee data quality, lineage, and governance align with standards necessary for AI/ML applications.Facilitate MLOps practices by integrating data pipelines with model training, monitoring, and deployment processes.Utilize distributed processing frameworks (e.g., Spark, Databricks, Azure Synapse) for scalable ML data processing.
Join us as we embark on a transformative journey to become an AI-driven financial institution. Our commitment to revolutionizing customer service through cutting-edge technology and data analytics is reshaping the future of banking in Egypt. As a member of our agile, hybrid team, you will play a pivotal role in deploying AI solutions that enhance user experiences and streamline operations.About the Role: We are seeking a seasoned and strategic Lead MLOps Engineer to spearhead our expanding MLOps Practice. In this critical role, you will be the technical authority responsible for shaping and executing the MLOps strategy. You will design and maintain robust machine learning pipelines, ensuring the seamless deployment of AI models into production. Our focus on agility, human-centric approaches, social inclusion, and digital transformation underpins our strategic vision.Responsibilities:Define and implement the MLOps technical strategy and roadmap for the bank.Act as a technical leader and mentor for MLOps engineers.Design, build, and maintain scalable and reliable machine learning and CI/CD pipelines.Oversee the efficient deployment, monitoring, and governance of AI models in production.Collaborate with data scientists and engineers to enhance model performance and deployment.Establish and enforce best practices for MLOps, including version control, model governance, and monitoring.Evaluate and integrate new MLOps tools and technologies.
The Bank is undergoing a remarkable transformation into an AI-driven institution, reshaping the way we engage with our customers and leading the evolution of financial services. By harnessing our extensive heritage and expertise, we are developing a data-centric powerhouse that anticipates customer needs, tailors experiences, and enhances operational efficiency. Our commitment to deploying AI translates into real-world benefits that positively impact every Egyptian. Be a part of our dynamic, hybrid team and play a pivotal role in this thrilling transformation!About the Role: We are seeking a highly skilled Senior Data Scientist to join our expanding team. You will spearhead complex and impactful projects, collaborating with diverse teams to create and implement state-of-the-art AI solutions. This role also involves guiding junior team members and contributing to our overarching AI strategy. Our emphasis on agility, human-centricity, social inclusion, and digital transformation is fundamental to our mission.Key Responsibilities: Oversee the full lifecycle of data science projects, from ideation to implementation. Design and execute advanced machine learning models and algorithms. Conduct sophisticated data mining and analysis to uncover trends, patterns, and insights. Lead the optimization, deployment, and scaling of AI models. Effectively communicate findings and strategic recommendations to senior management and stakeholders. Foster innovation in data science methodologies and tools.
Join our dynamic team as a Senior Data Engineer, where you will harness the power of data to drive impactful solutions. You will be responsible for designing, developing, and maintaining robust data pipelines and architectures that support our mission of fostering inclusivity in technology.Your expertise will help us analyze and interpret complex data sets, ensuring data integrity and optimizing data flows. If you are passionate about utilizing data to enhance decision-making and drive business outcomes, we want to hear from you!
Join us at the forefront of the banking revolution! Our organization is transitioning into an AI-driven institution, transforming how we engage with our customers and shaping the future of finance. With a strong foundation and expertise, we are committed to creating a data-centric powerhouse that anticipates customer needs, personalizes interactions, and enhances operational efficiency. This is not just a conversation about AI; it's about applying it and witnessing its profound impact on the lives of Egyptians. Become a part of our dynamic, hybrid team and play a pivotal role in this thrilling transformation!Position Overview: We are seeking a skilled Data Science Specialist to become an integral member of our expanding team. You will tackle challenging and meaningful projects while collaborating with cross-functional teams to design and implement innovative AI solutions. Additionally, you will have the chance to mentor junior team members. Our focus on agility, human-centered design, social inclusion, and digital evolution drives our quest for top-tier talent.Key Responsibilities: Create and implement machine learning models for diverse banking functions. Enhance and fine-tune existing machine learning models for superior performance. Perform comprehensive data analysis to derive actionable insights. Effectively communicate findings and recommendations to both technical and non-technical stakeholders. Keep abreast of the latest developments in AI and machine learning. Mentor junior team members to foster growth and skill development.
At b_labs, the innovation and digitization division of B.TECH, we are on a transformative journey to revolutionize the consumer electronics and appliances industry. As a pivotal player in the Egyptian retail landscape, we are committed to establishing B.TECH as the premier omni-channel platform in Egypt. Joining our team means immersing yourself in a dynamic startup culture while benefiting from the stability of a well-established organization with a consistent growth trajectory. You will collaborate with a forward-thinking, customer-centric team dedicated to pioneering digital retail solutions across the Middle East.Key Responsibilities:Partnering with business leaders to devise innovative strategies that meet organizational objectives using advanced techniques and tools.Clearly conveying analytical methodologies and their alignment with business goals to stakeholders.Promoting the significance of data-driven decision-making, emphasizing the rationale and methodologies behind effective problem-solving.Leading analytical initiatives and integrating efforts with data engineers, business leads, analysts, and developers to enhance tools and applications.Developing robust, interpretable, and scalable models that are seamlessly integrated into analytic data products.Sharing your enthusiasm for data science within the wider enterprise, while establishing long-term processes, frameworks, tools, and standards.Engaging with external thought leaders through conferences and community events to stay at the forefront of industry innovations.
Join our dynamic team at SanaCommerce as a Senior Data Engineer. In this critical role, you will leverage your expertise in data engineering to build robust data pipelines and enhance our data processing capabilities. Collaborate with cross-functional teams to design and implement innovative solutions that drive data-driven decision-making across the organization.
About Us:At Xenon7, we unite exceptional tech talent with world-class opportunities! Collaborating with top-tier enterprises and innovative startups, we engage in exciting, cutting-edge projects that utilize the latest technologies across various IT domains, including Data, Web, Infrastructure, AI, and more. Our expertise in developing IT solutions and providing on-demand resources enables us to partner with clients on transformative initiatives that drive innovation and business growth. Whether empowering global organizations or collaborating with pioneering startups, we are dedicated to delivering advanced, impactful solutions that address today's most intricate challenges.About the Client:Become part of one of Egypt's leading financial institutions, celebrated for its comprehensive range of banking services, including Institutional Banking, Personal Banking, and Islamic Banking. With a global footprint through over 50 branches and correspondents, our diverse and dynamic clientele is at the forefront of our operations. As we embark on a revolutionary digital transformation journey, we are committed to leveraging cutting-edge technologies to build a state-of-the-art data architecture that will redefine our performance and service delivery.Position Overview:We are looking for a driven and experienced Senior Data Engineer to join our expanding data team. In this pivotal role, you will design and develop scalable, high-performance data pipelines and lakehouse architectures. Collaborating closely with data modelers, analysts, and business stakeholders, you will deliver reliable real-time and batch-based data solutions that are integral to our analytics and AI-driven strategies.
Data Pipeline Development & InfrastructureArchitect, develop, and sustain robust and scalable data pipelines that support both structured and unstructured data.Create and implement real-time and batch data processing frameworks.Develop ETL/ELT workflows for data ingestion from diverse sources, ensuring optimal performance and reliability.Enhance data storage and retrieval mechanisms for real-time and batch operations.Design a cost-effective and efficient data infrastructure that adapts to the evolving needs of the business.Data Solutions & AI-Driven ApplicationsConstruct data pipelines to support machine learning recommenders, search functionalities, and AI-enhanced features.Develop and maintain data models, APIs, and integrations that facilitate analytics and customer applications.Support eCommerce data solutions such as product recommendations, customer segmentation, and personalization strategies.Collaboration & Continuous ImprovementCollaborate with Data Architects, Analysts, and Product Teams to identify data requirements and deliver top-tier solutions.Monitor and resolve performance issues to maintain high availability and efficiency of data pipelines.Continuously enhance the cost, performance, and scalability of data engineering solutions.
About UsWelcome to Foodics! We are a premier restaurant management ecosystem and payment technology provider, established in 2014. With our headquarters in Riyadh and operations spanning five countries—including the UAE, Egypt, Jordan, and Kuwait—we proudly serve customers and partners across over 35 nations. Our cutting-edge products have facilitated the processing of more than 6 billion orders, establishing Foodics as one of the fastest-growing SaaS firms in the MENA region. Recently, we achieved a significant milestone with our third funding round, raising $170 million, which marks the largest SaaS funding in MENA to date, further enhancing our innovation capabilities to better serve business owners.Role OverviewAs a Senior Data Engineer, you will play a pivotal role in designing and constructing robust data pipelines, data contracts, and processing frameworks that drive analytics and machine learning capabilities at Foodics. You will collaborate closely with ML Engineers and platform teams to ensure our data infrastructure is reliable, scalable, and governed effectively.Your ResponsibilitiesArchitect and implement scalable ETL/ELT pipelines utilizing cloud-native solutions.Establish and uphold data contracts with domain squads and internal stakeholders.Partner with ML Engineers to facilitate feature engineering and prepare model-ready datasets.Develop monitoring, alerting, and observability mechanisms for the data infrastructure.Ensure compliance with data security, lineage, and internal governance standards.Contribute to onboarding toolkits and reusable data components.Qualifications We Seek5+ years of experience in data engineering with proven expertise in building scalable pipelines.Proficient in Python, SQL, and orchestration tools such as Airflow, AWS Glue, or Step Functions.Experience with modern Lakehouse architectures and tools (e.g., S3, Redshift, Snowflake, dbt).Strong understanding of data modeling, lineage, observability, and governance frameworks (e.g., dimensional modeling, normalized vs. denormalized structures).Familiarity with ACID-compliant data formats like Apache Iceberg, Delta Lake, or Apache Hudi, and experience managing large-scale datasets with features such as time travel and schema evolution.Expertise in building fault-tolerant, testable, and maintainable pipelines in production settings.Demonstrated ability to collaborate effectively within cross-functional teams, including ML Engineers, Analysts, and Product Managers.Familiarity with CI/CD and infrastructure-as-code tools (Terraform/CDK preferred).Excellent communication skills with a focus on documentation, standards, and continuous improvement.Ideal Candidate TraitsKnowledge of MLOps integration and streaming technologies is a plus.
Key Responsibilities:· Develop and execute a comprehensive technical strategy and roadmap for MLOps in the organization. · Act as a technical authority and mentor to MLOps engineering teams.· Architect, construct, and uphold robust and scalable machine learning and CI/CD pipelines.· Oversee the effective deployment, monitoring, and governance of AI models in a production environment.· Collaborate with data scientists and engineering teams to enhance model performance and streamline deployment processes.· Establish and uphold best practices for MLOps, including model versioning, governance, and monitoring protocols.· Assess and integrate cutting-edge MLOps tools and technologies to improve operations.
Become a part of EVA Pharma, a pioneering pharmaceutical organization committed to championing health and well-being as an essential human right. Celebrated for our exceptional workplace culture, we strive to cultivate an environment that encourages support and innovation among our team members.Job Overview: We are in search of a driven and skilled Senior Lead Data Engineer to integrate into our vibrant team. The successful candidate will play a crucial role in our mission to advance human health and well-being, ensuring we uphold the highest standards of excellence within our sector. Primary Responsibilities:Architect, develop, and sustain robust ETL/ELT pipelines that transfer data from various sources into cloud-based data warehouses such as Snowflake, BigQuery, or Databricks. Guarantee real-time or near-real-time data processing for analytical dashboards and operational systems while continuously optimizing performance to adeptly manage increasing data volumes.Establish automated validation protocols, anomaly detection mechanisms, and alerting systems to uphold superior data accuracy. Ensure all pipelines adhere to data privacy and security regulations (e.g., GDPR, SOC 2). Maintain comprehensive documentation and data lineage to facilitate audits and cross-team transparency.Assess and implement new tools like Airflow, dbt, Kafka, or Spark to enhance operational efficiency and scalability. Collaborate with AI/ML teams to support the deployment and integration of sophisticated models.Create best practices for data modeling, storage efficiency, and version control. Align data structures with critical business metrics and analytical applications to ensure consistency across various departments.Conduct design evaluations, uphold high-quality coding standards, and promote a collaborative environment centered on innovation and ongoing enhancement. Additionally, mentor and guide fellow data engineers to refine their technical expertise and boost project outcomes.
Job PurposeJoin Tarjama as a Senior AI Engineer, where you will lead the design, development, and implementation of cutting-edge AI systems that enhance our language, document, and speech intelligence capabilities across various products. Your expertise will transform intricate business and product requirements into robust, scalable AI solutions, while ensuring their reliability and continuously improving their performance, accuracy, and cost-effectiveness.In this pivotal role, you will help define Tarjama's AI architecture and establish best practices, working collaboratively with product, engineering, and data teams to deliver impactful AI applications that elevate our localization, content, and technology solutions.Duties & ResponsibilitiesMultimodal AI DevelopmentCreate and integrate text-based AI systems, including LLM pipelines, embeddings, rerankers, and scalable RAG architectures.Develop and enhance document understanding systems utilizing OCR, layout-aware vision models, and multimodal reasoning.Design speech-based AI solutions, such as STT, TTS, and conversational voice agents.Establish multilingual and translation pipelines, ensuring high quality, low latency, and scalability across various languages.AI Product Development & DeploymentLead the development of AI-powered features from conception to production, ensuring alignment with product and business objectives.Deploy, monitor, and optimize AI systems in production environments, ensuring their reliability, scalability, and cost-effectiveness.Work closely with software engineering teams to integrate AI components into secure, maintainable, and scalable architectures.Implement observability, logging, and monitoring to support ongoing improvement of AI systems.Model Evaluation & OptimizationDevelop evaluation strategies and metrics for multimodal AI systems, focusing on accuracy, latency, robustness, and user impact.Benchmark, fine-tune, and optimize models to enhance inference performance, cost-effectiveness, and scalability.Conduct experiments and A/B testing to validate model and system enhancements.Identify and address model failure modes, biases, and performance regressions.AI Agentic Workflows & FrameworksDesign, implement, and maintain AI-driven workflows that coordinate language, vision, and speech models to tackle complex, real-world tasks.Build and enhance task-oriented, tool-using AI agents leveraging modern agent frameworks and orchestration patterns.
Full-time|On-site|Nasr City, Al Manteqah Al Oula, Egypt
Position OverviewWe are seeking a talented Data Scientist who will be instrumental in converting raw industrial data into valuable insights. Your role will involve crafting predictive models that tackle significant energy and operational challenges. By merging advanced analytics with business acumen, you will convert intricate data sets into strategic decisions that drive impact.Key ResponsibilitiesGather, cleanse, and preprocess both structured and unstructured data from diverse sources.Conduct exploratory data analysis (EDA) to unveil trends, correlations, and anomalies.Create, validate, and implement machine learning and predictive models.Architect and sustain scalable data pipelines and automation workflows.Translate business challenges into analytical and statistical frameworks.Collaborate effectively with engineering, product, operations, and leadership teams.Communicate insights through interactive dashboards, detailed reports, and compelling data visualizations.Monitor model performance and continuously refine algorithms for optimal results.Ensure compliance with data quality, integrity, governance, and security standards.
b_labs serves as the transformative and digital innovation arm of B.TECH, dedicated to revolutionizing the industry landscape. As a key player in technological advancement within B.TECH, a pivotal entity in the Egyptian retail sector, we are committed to propelling B.TECH toward its vision of becoming the foremost omni-channel platform for consumer electronics and appliances in Egypt. By joining b_labs, you will thrive in a collaborative startup atmosphere while benefiting from the stability of a company that consistently achieves remarkable growth. You will become a vital member of a forward-thinking, customer-centric team with a bold mission to lead the digital retail transformation across the Middle East.Key Responsibilities:Design, implement, and manage large-scale, reliable data pipelines utilizing Python, SQL, and big data technologies such as Apache Spark and Kafka.Build and refine ETL/ELT processes for data transformation, loading, and integration from diverse sources.Develop and maintain robust data storage solutions leveraging both relational and NoSQL databases, including SQL Server, PostgreSQL, MySQL, and MongoDB.Establish and oversee CI/CD pipelines for data workflows, facilitating automated deployments and version control.Utilize AWS services to create, deploy, and monitor scalable cloud-based data solutions.Employ Apache Airflow for workflow orchestration and use PostHog for analytics tracking and event data management.Enhance data warehousing solutions to meet business intelligence and analytics requirements.Ensure data integrity, consistency, and security across multiple systems and sources.Troubleshoot and optimize data systems for enhanced performance, scalability, and cost efficiency.Foster and contribute to a collaborative, innovative, and agile team culture.
Role OverviewAs a Senior Data Engineer specializing in Machine Learning (ML) and Artificial Intelligence (AI), you will be instrumental in developing and sustaining data pipelines tailored for ML/AI applications. Your efforts will focus on managing extensive datasets, including unstructured and semi-structured information, to ensure our analytics and machine…
Join our dynamic team at mylo-btech as a Senior Machine Learning Back-end Engineer, where you'll play a crucial role in shaping the future of technology.Key Responsibilities:End-to-End Modeling: Collaborate in the training and refinement of machine learning models across diverse business sectors utilizing contemporary Python libraries.Engineering Integration: Partner with our team to make models accessible through APIs. Gain insights into implementing Feature Store definitions while ensuring data integrity for real-time application.Data Operations: Oversee data preparation and analysis using SQL and Python. Acquire skills in managing datasets with Data Version Control tools to monitor modifications.Code Quality: Produce clean, modular, and thoroughly tested code. Engage in peer code reviews and utilize version control (Git) as part of your daily routine.Continuous Learning: Engage in our comprehensive induction program to master our specialized tools for model serving, package management, and system monitoring.
Si-Ware Systems stands at the forefront of semiconductor and spectroscopy innovations, delivering cutting-edge devices and software solutions that facilitate material analysis across diverse industries.We cultivate a vibrant work culture that emphasizes innovation, teamwork, and lifelong learning, empowering our employees to explore and redefine technological frontiers.As a Machine Learning Engineer, you will be instrumental in designing, implementing, and deploying applied machine learning solutions that enhance real-world spectroscopy devices and advance emerging physical AI systems.You will operate at the confluence of machine learning, software engineering, and intelligent hardware integration.
Role Overview talent3600 is hiring an Operations Specialist to support data annotation and machine learning projects. This remote position is based in Cairo, Cairo Governorate, Egypt. What You Will Do Ensure data annotations meet quality and accuracy standards for machine learning workflows. Support ongoing data-driven projects by maintaining high standards in annotation processes. Apply strong attention to detail and analytical thinking to help improve machine learning outcomes. Location Remote , Cairo, Cairo Governorate, Egypt
Join Integrant as a Lead AI Platform Engineer and be a pivotal force in revolutionizing our AI capabilities.The Lead AI Platform Engineer will be instrumental in integrating AI workloads with robust production-grade infrastructure, focusing on leveraging the NVIDIA AI stack to deliver high-performance, scalable, and optimized AI systems.This role emphasizes model optimization, runtime efficiency, and GPU utilization to ensure that AI workloads are ready for production, cost-effective, and highly effective in enterprise environments.Key Responsibilities:Transform AI/ML workloads into optimized infrastructure and deployment strategies.Enhance model performance within GPU environments, focusing on latency, throughput, and memory utilization.Design and execute inference and training pipelines utilizing NVIDIA stack tools like TensorRT, Triton, and NIM.Convert and optimize models across various frameworks (e.g., PyTorch to ONNX to TensorRT).Identify and mitigate performance bottlenecks through the use of profiling tools (GPU, memory, network).Boost GPU utilization and scheduling efficiency across clusters.Architect scalable distributed training and inference frameworks.Collaborate with clients to outline AI infrastructure strategies and deployment models.Oversee production deployments, ensuring effective monitoring, rollback, and performance validation.Conduct applied research to enhance model efficiency and infrastructure utilization.Guide team members in AI infrastructure, optimization, and GPU systems.Utilize experiment tracking tools (MLflow, W&B, Neptune) to log parameters, metrics, and artifacts for analysis.Detect model degradation post-deployment due to issues like concept drift, data pipeline alterations, and traffic pattern changes.Perform root cause analysis (RCA) on ML systems by isolating variables and reproducing issues.
Job ResponsibilitiesArchitect and sustain data pipelines tailored for ML/AI workloads, effectively managing large-scale, unstructured, and semi-structured data sets.Create feature pipelines and stores to ensure data reusability and consistency for machine learning initiatives.Work alongside Data Scientists and ML Engineers to define data needs for training, validation, and deployment of models.Guarantee data quality, lineage, and governance align with standards necessary for AI/ML applications.Facilitate MLOps practices by integrating data pipelines with model training, monitoring, and deployment processes.Utilize distributed processing frameworks (e.g., Spark, Databricks, Azure Synapse) for scalable ML data processing.
Join us as we embark on a transformative journey to become an AI-driven financial institution. Our commitment to revolutionizing customer service through cutting-edge technology and data analytics is reshaping the future of banking in Egypt. As a member of our agile, hybrid team, you will play a pivotal role in deploying AI solutions that enhance user experiences and streamline operations.About the Role: We are seeking a seasoned and strategic Lead MLOps Engineer to spearhead our expanding MLOps Practice. In this critical role, you will be the technical authority responsible for shaping and executing the MLOps strategy. You will design and maintain robust machine learning pipelines, ensuring the seamless deployment of AI models into production. Our focus on agility, human-centric approaches, social inclusion, and digital transformation underpins our strategic vision.Responsibilities:Define and implement the MLOps technical strategy and roadmap for the bank.Act as a technical leader and mentor for MLOps engineers.Design, build, and maintain scalable and reliable machine learning and CI/CD pipelines.Oversee the efficient deployment, monitoring, and governance of AI models in production.Collaborate with data scientists and engineers to enhance model performance and deployment.Establish and enforce best practices for MLOps, including version control, model governance, and monitoring.Evaluate and integrate new MLOps tools and technologies.
The Bank is undergoing a remarkable transformation into an AI-driven institution, reshaping the way we engage with our customers and leading the evolution of financial services. By harnessing our extensive heritage and expertise, we are developing a data-centric powerhouse that anticipates customer needs, tailors experiences, and enhances operational efficiency. Our commitment to deploying AI translates into real-world benefits that positively impact every Egyptian. Be a part of our dynamic, hybrid team and play a pivotal role in this thrilling transformation!About the Role: We are seeking a highly skilled Senior Data Scientist to join our expanding team. You will spearhead complex and impactful projects, collaborating with diverse teams to create and implement state-of-the-art AI solutions. This role also involves guiding junior team members and contributing to our overarching AI strategy. Our emphasis on agility, human-centricity, social inclusion, and digital transformation is fundamental to our mission.Key Responsibilities: Oversee the full lifecycle of data science projects, from ideation to implementation. Design and execute advanced machine learning models and algorithms. Conduct sophisticated data mining and analysis to uncover trends, patterns, and insights. Lead the optimization, deployment, and scaling of AI models. Effectively communicate findings and strategic recommendations to senior management and stakeholders. Foster innovation in data science methodologies and tools.
Join our dynamic team as a Senior Data Engineer, where you will harness the power of data to drive impactful solutions. You will be responsible for designing, developing, and maintaining robust data pipelines and architectures that support our mission of fostering inclusivity in technology.Your expertise will help us analyze and interpret complex data sets, ensuring data integrity and optimizing data flows. If you are passionate about utilizing data to enhance decision-making and drive business outcomes, we want to hear from you!
Join us at the forefront of the banking revolution! Our organization is transitioning into an AI-driven institution, transforming how we engage with our customers and shaping the future of finance. With a strong foundation and expertise, we are committed to creating a data-centric powerhouse that anticipates customer needs, personalizes interactions, and enhances operational efficiency. This is not just a conversation about AI; it's about applying it and witnessing its profound impact on the lives of Egyptians. Become a part of our dynamic, hybrid team and play a pivotal role in this thrilling transformation!Position Overview: We are seeking a skilled Data Science Specialist to become an integral member of our expanding team. You will tackle challenging and meaningful projects while collaborating with cross-functional teams to design and implement innovative AI solutions. Additionally, you will have the chance to mentor junior team members. Our focus on agility, human-centered design, social inclusion, and digital evolution drives our quest for top-tier talent.Key Responsibilities: Create and implement machine learning models for diverse banking functions. Enhance and fine-tune existing machine learning models for superior performance. Perform comprehensive data analysis to derive actionable insights. Effectively communicate findings and recommendations to both technical and non-technical stakeholders. Keep abreast of the latest developments in AI and machine learning. Mentor junior team members to foster growth and skill development.
At b_labs, the innovation and digitization division of B.TECH, we are on a transformative journey to revolutionize the consumer electronics and appliances industry. As a pivotal player in the Egyptian retail landscape, we are committed to establishing B.TECH as the premier omni-channel platform in Egypt. Joining our team means immersing yourself in a dynamic startup culture while benefiting from the stability of a well-established organization with a consistent growth trajectory. You will collaborate with a forward-thinking, customer-centric team dedicated to pioneering digital retail solutions across the Middle East.Key Responsibilities:Partnering with business leaders to devise innovative strategies that meet organizational objectives using advanced techniques and tools.Clearly conveying analytical methodologies and their alignment with business goals to stakeholders.Promoting the significance of data-driven decision-making, emphasizing the rationale and methodologies behind effective problem-solving.Leading analytical initiatives and integrating efforts with data engineers, business leads, analysts, and developers to enhance tools and applications.Developing robust, interpretable, and scalable models that are seamlessly integrated into analytic data products.Sharing your enthusiasm for data science within the wider enterprise, while establishing long-term processes, frameworks, tools, and standards.Engaging with external thought leaders through conferences and community events to stay at the forefront of industry innovations.
Join our dynamic team at SanaCommerce as a Senior Data Engineer. In this critical role, you will leverage your expertise in data engineering to build robust data pipelines and enhance our data processing capabilities. Collaborate with cross-functional teams to design and implement innovative solutions that drive data-driven decision-making across the organization.
About Us:At Xenon7, we unite exceptional tech talent with world-class opportunities! Collaborating with top-tier enterprises and innovative startups, we engage in exciting, cutting-edge projects that utilize the latest technologies across various IT domains, including Data, Web, Infrastructure, AI, and more. Our expertise in developing IT solutions and providing on-demand resources enables us to partner with clients on transformative initiatives that drive innovation and business growth. Whether empowering global organizations or collaborating with pioneering startups, we are dedicated to delivering advanced, impactful solutions that address today's most intricate challenges.About the Client:Become part of one of Egypt's leading financial institutions, celebrated for its comprehensive range of banking services, including Institutional Banking, Personal Banking, and Islamic Banking. With a global footprint through over 50 branches and correspondents, our diverse and dynamic clientele is at the forefront of our operations. As we embark on a revolutionary digital transformation journey, we are committed to leveraging cutting-edge technologies to build a state-of-the-art data architecture that will redefine our performance and service delivery.Position Overview:We are looking for a driven and experienced Senior Data Engineer to join our expanding data team. In this pivotal role, you will design and develop scalable, high-performance data pipelines and lakehouse architectures. Collaborating closely with data modelers, analysts, and business stakeholders, you will deliver reliable real-time and batch-based data solutions that are integral to our analytics and AI-driven strategies.
Data Pipeline Development & InfrastructureArchitect, develop, and sustain robust and scalable data pipelines that support both structured and unstructured data.Create and implement real-time and batch data processing frameworks.Develop ETL/ELT workflows for data ingestion from diverse sources, ensuring optimal performance and reliability.Enhance data storage and retrieval mechanisms for real-time and batch operations.Design a cost-effective and efficient data infrastructure that adapts to the evolving needs of the business.Data Solutions & AI-Driven ApplicationsConstruct data pipelines to support machine learning recommenders, search functionalities, and AI-enhanced features.Develop and maintain data models, APIs, and integrations that facilitate analytics and customer applications.Support eCommerce data solutions such as product recommendations, customer segmentation, and personalization strategies.Collaboration & Continuous ImprovementCollaborate with Data Architects, Analysts, and Product Teams to identify data requirements and deliver top-tier solutions.Monitor and resolve performance issues to maintain high availability and efficiency of data pipelines.Continuously enhance the cost, performance, and scalability of data engineering solutions.
About UsWelcome to Foodics! We are a premier restaurant management ecosystem and payment technology provider, established in 2014. With our headquarters in Riyadh and operations spanning five countries—including the UAE, Egypt, Jordan, and Kuwait—we proudly serve customers and partners across over 35 nations. Our cutting-edge products have facilitated the processing of more than 6 billion orders, establishing Foodics as one of the fastest-growing SaaS firms in the MENA region. Recently, we achieved a significant milestone with our third funding round, raising $170 million, which marks the largest SaaS funding in MENA to date, further enhancing our innovation capabilities to better serve business owners.Role OverviewAs a Senior Data Engineer, you will play a pivotal role in designing and constructing robust data pipelines, data contracts, and processing frameworks that drive analytics and machine learning capabilities at Foodics. You will collaborate closely with ML Engineers and platform teams to ensure our data infrastructure is reliable, scalable, and governed effectively.Your ResponsibilitiesArchitect and implement scalable ETL/ELT pipelines utilizing cloud-native solutions.Establish and uphold data contracts with domain squads and internal stakeholders.Partner with ML Engineers to facilitate feature engineering and prepare model-ready datasets.Develop monitoring, alerting, and observability mechanisms for the data infrastructure.Ensure compliance with data security, lineage, and internal governance standards.Contribute to onboarding toolkits and reusable data components.Qualifications We Seek5+ years of experience in data engineering with proven expertise in building scalable pipelines.Proficient in Python, SQL, and orchestration tools such as Airflow, AWS Glue, or Step Functions.Experience with modern Lakehouse architectures and tools (e.g., S3, Redshift, Snowflake, dbt).Strong understanding of data modeling, lineage, observability, and governance frameworks (e.g., dimensional modeling, normalized vs. denormalized structures).Familiarity with ACID-compliant data formats like Apache Iceberg, Delta Lake, or Apache Hudi, and experience managing large-scale datasets with features such as time travel and schema evolution.Expertise in building fault-tolerant, testable, and maintainable pipelines in production settings.Demonstrated ability to collaborate effectively within cross-functional teams, including ML Engineers, Analysts, and Product Managers.Familiarity with CI/CD and infrastructure-as-code tools (Terraform/CDK preferred).Excellent communication skills with a focus on documentation, standards, and continuous improvement.Ideal Candidate TraitsKnowledge of MLOps integration and streaming technologies is a plus.
Key Responsibilities:· Develop and execute a comprehensive technical strategy and roadmap for MLOps in the organization. · Act as a technical authority and mentor to MLOps engineering teams.· Architect, construct, and uphold robust and scalable machine learning and CI/CD pipelines.· Oversee the effective deployment, monitoring, and governance of AI models in a production environment.· Collaborate with data scientists and engineering teams to enhance model performance and streamline deployment processes.· Establish and uphold best practices for MLOps, including model versioning, governance, and monitoring protocols.· Assess and integrate cutting-edge MLOps tools and technologies to improve operations.
Become a part of EVA Pharma, a pioneering pharmaceutical organization committed to championing health and well-being as an essential human right. Celebrated for our exceptional workplace culture, we strive to cultivate an environment that encourages support and innovation among our team members.Job Overview: We are in search of a driven and skilled Senior Lead Data Engineer to integrate into our vibrant team. The successful candidate will play a crucial role in our mission to advance human health and well-being, ensuring we uphold the highest standards of excellence within our sector. Primary Responsibilities:Architect, develop, and sustain robust ETL/ELT pipelines that transfer data from various sources into cloud-based data warehouses such as Snowflake, BigQuery, or Databricks. Guarantee real-time or near-real-time data processing for analytical dashboards and operational systems while continuously optimizing performance to adeptly manage increasing data volumes.Establish automated validation protocols, anomaly detection mechanisms, and alerting systems to uphold superior data accuracy. Ensure all pipelines adhere to data privacy and security regulations (e.g., GDPR, SOC 2). Maintain comprehensive documentation and data lineage to facilitate audits and cross-team transparency.Assess and implement new tools like Airflow, dbt, Kafka, or Spark to enhance operational efficiency and scalability. Collaborate with AI/ML teams to support the deployment and integration of sophisticated models.Create best practices for data modeling, storage efficiency, and version control. Align data structures with critical business metrics and analytical applications to ensure consistency across various departments.Conduct design evaluations, uphold high-quality coding standards, and promote a collaborative environment centered on innovation and ongoing enhancement. Additionally, mentor and guide fellow data engineers to refine their technical expertise and boost project outcomes.
Job PurposeJoin Tarjama as a Senior AI Engineer, where you will lead the design, development, and implementation of cutting-edge AI systems that enhance our language, document, and speech intelligence capabilities across various products. Your expertise will transform intricate business and product requirements into robust, scalable AI solutions, while ensuring their reliability and continuously improving their performance, accuracy, and cost-effectiveness.In this pivotal role, you will help define Tarjama's AI architecture and establish best practices, working collaboratively with product, engineering, and data teams to deliver impactful AI applications that elevate our localization, content, and technology solutions.Duties & ResponsibilitiesMultimodal AI DevelopmentCreate and integrate text-based AI systems, including LLM pipelines, embeddings, rerankers, and scalable RAG architectures.Develop and enhance document understanding systems utilizing OCR, layout-aware vision models, and multimodal reasoning.Design speech-based AI solutions, such as STT, TTS, and conversational voice agents.Establish multilingual and translation pipelines, ensuring high quality, low latency, and scalability across various languages.AI Product Development & DeploymentLead the development of AI-powered features from conception to production, ensuring alignment with product and business objectives.Deploy, monitor, and optimize AI systems in production environments, ensuring their reliability, scalability, and cost-effectiveness.Work closely with software engineering teams to integrate AI components into secure, maintainable, and scalable architectures.Implement observability, logging, and monitoring to support ongoing improvement of AI systems.Model Evaluation & OptimizationDevelop evaluation strategies and metrics for multimodal AI systems, focusing on accuracy, latency, robustness, and user impact.Benchmark, fine-tune, and optimize models to enhance inference performance, cost-effectiveness, and scalability.Conduct experiments and A/B testing to validate model and system enhancements.Identify and address model failure modes, biases, and performance regressions.AI Agentic Workflows & FrameworksDesign, implement, and maintain AI-driven workflows that coordinate language, vision, and speech models to tackle complex, real-world tasks.Build and enhance task-oriented, tool-using AI agents leveraging modern agent frameworks and orchestration patterns.
Full-time|On-site|Nasr City, Al Manteqah Al Oula, Egypt
Position OverviewWe are seeking a talented Data Scientist who will be instrumental in converting raw industrial data into valuable insights. Your role will involve crafting predictive models that tackle significant energy and operational challenges. By merging advanced analytics with business acumen, you will convert intricate data sets into strategic decisions that drive impact.Key ResponsibilitiesGather, cleanse, and preprocess both structured and unstructured data from diverse sources.Conduct exploratory data analysis (EDA) to unveil trends, correlations, and anomalies.Create, validate, and implement machine learning and predictive models.Architect and sustain scalable data pipelines and automation workflows.Translate business challenges into analytical and statistical frameworks.Collaborate effectively with engineering, product, operations, and leadership teams.Communicate insights through interactive dashboards, detailed reports, and compelling data visualizations.Monitor model performance and continuously refine algorithms for optimal results.Ensure compliance with data quality, integrity, governance, and security standards.
b_labs serves as the transformative and digital innovation arm of B.TECH, dedicated to revolutionizing the industry landscape. As a key player in technological advancement within B.TECH, a pivotal entity in the Egyptian retail sector, we are committed to propelling B.TECH toward its vision of becoming the foremost omni-channel platform for consumer electronics and appliances in Egypt. By joining b_labs, you will thrive in a collaborative startup atmosphere while benefiting from the stability of a company that consistently achieves remarkable growth. You will become a vital member of a forward-thinking, customer-centric team with a bold mission to lead the digital retail transformation across the Middle East.Key Responsibilities:Design, implement, and manage large-scale, reliable data pipelines utilizing Python, SQL, and big data technologies such as Apache Spark and Kafka.Build and refine ETL/ELT processes for data transformation, loading, and integration from diverse sources.Develop and maintain robust data storage solutions leveraging both relational and NoSQL databases, including SQL Server, PostgreSQL, MySQL, and MongoDB.Establish and oversee CI/CD pipelines for data workflows, facilitating automated deployments and version control.Utilize AWS services to create, deploy, and monitor scalable cloud-based data solutions.Employ Apache Airflow for workflow orchestration and use PostHog for analytics tracking and event data management.Enhance data warehousing solutions to meet business intelligence and analytics requirements.Ensure data integrity, consistency, and security across multiple systems and sources.Troubleshoot and optimize data systems for enhanced performance, scalability, and cost efficiency.Foster and contribute to a collaborative, innovative, and agile team culture.
