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Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and design appropriate solutions Work closely with IT and infrastructure teams to deploy and maintain data storage and processing systems, including databases, data warehouses, and cloud infrastructure Design, build, and maintain robust, scalable data pipelines to ingest, process, and transform data from various sources, including internal databases and external APIs Optimize data pipelines for performance, scalability, and reliability, ensuring timely and accurate delivery of data Implement data validation and quality checks to identify and rectify any issues in data pipelines, ensuring data integrity Explore and evaluate new technologies, tools, and frameworks to improve data engineering processes and capabilities Perform data modeling and schema design to support analytical and reporting requirements Design and build data marts and business layers to facilitate efficient data access and analysis Requirements Bachelor's degree in Computer Science, Information Systems, or other related technical field or equivalent work Proven experience as a Data engineer or similar role, with at least 4 years of experience Advanced SQL knowledge/experience - complex queries and query optimization Proficiency in programming languages such as Python Experienced in the development of data warehouses and proficient in data modeling Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform Experience in building data streams using technologies such as Kafka, Flink, or Spark Streaming is considered a plus Strong problem-solving skills and attention to detail The ability and willingness to learn new technologies on the job Self driven, highly motivated, fast learner, ambitious and creative Show more

Role: Senior Data Scientist Location: Egypt, Uzbekistan, and Pakistan (Remote) Work Week: Sunday – Thursday Work Timings: 9:00 AM – 6:00 PM (Saudi Arabian Time Zone) Overview: We’re looking for a Senior Data Scientist to lead the development and deployment of advanced machine learning models that power critical business decisions. In this role, you’ll drive end-to-end ownership of ML solutions, from design and optimization to deployment and monitoring in production environments. You’ll also play a key role in shaping our data science strategy, mentoring junior team members, and ensuring that analytics insights translate into measurable business impact. This is a high-visibility role where your expertise will directly influence product innovation and growth. Role & Responsibilities: Model Development and Optimization: Lead the design, development, and deployment of advanced ML models for complex use cases, such as recommendation systems, fraud detection, customer segmentation, and demand forecasting Partner with data engineers and product teams to ensure models are scalable, reliable, and aligned with business needs Continuously optimize algorithms for performance, accuracy, and efficiency Deployment and Integration: Own end-to-end model deployment processes into production environments using Kubernetes and cloud platforms (AWS, GCP) Define and manage MLOps best practices, including model monitoring, automated retraining, and CI/CD for ML pipelines Champion automation of model training, validation, and deployment workflows to improve system reliability Analytics Strategy & Enablement: Act as a custodian of organizational data, ensuring data quality, consistency, and readiness for advanced analytics and modeling Translate complex data insights into business impact, clearly communicating ROI to stakeholders Drive adoption of analytics and data-driven decision-making across teams by mentoring and enabling business stakeholders Leadership & Collaboration: Mentor junior data scientists and analysts, providing technical guidance and career development support Collaborate closely with engineering and product leadership to shape the company’s data science strategy Stay ahead of emerging AI/ML trends, tools, and research, and advocate for their adoption when relevant Requirements: Proficiency in Python and SQL, with hands-on expertise in ML frameworks such as TensorFlow, PyTorch, Scikit-learn Strong knowledge of deployment tools (Docker, Kubernetes, cloud platforms) and MLOps best practices Proven ability to design and maintain production-grade ML systems Deep understanding of statistical analysis, hypothesis testing, and data visualization Knowledge of cloud-serverless technologies (AWS Lambda, GCP Functions, Azure Functions) Strong familiarity with GCP is a plus Prior experience deploying ML solutions in E-commerce or high-growth environments is highly desirable Familiarity to work with Git and GitHub Dataform is a must Experience: 5+ years in data science, including hands-on ML model development and deployment 3+ years in data analytics, statistical modeling, and experimentation Experience mentoring or leading junior data scientists Exposure to fast-scaling startup or tech environments is a strong plus We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. 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. Show more

Overview Responsible for driving growth by selling SaaS solutions to businesses, managing the entire sales cycle from initial prospecting to contract signing, and ensuring a smooth transition to customer success teams. This role is critical in achieving revenue targets and providing customer feedback to influence product improvements. Collaborates closely with technical and customer success teams. Responsibilities Prospect and qualify new SaaS opportunities through various channels Conduct product demonstrations and presentations via video calls and in-person meetings Understand customer business challenges and position SaaS solutions effectively Manage a pipeline of opportunities and move prospects through the sales funnel Collaborate with technical teams for custom demonstrations or proof of concepts Negotiate subscription terms, pricing, and contract details Achieve monthly recurring revenue (MRR) and annual contract value (ACV) targets Maintain expert knowledge of SaaS platform features and competitive advantages Provide feedback to product teams based on customer needs and market trends Ensure smooth handoffs to customer success teams post-sale Minimum Requirements: Bachelor's degree in business, IT, Marketing, or related field 2-4 years of sales experience, preferably in SaaS or technology Strong understanding of cloud-based software and subscription business models Native or fluent proficiency in local language (Arabic, Hebrew, Hindi/English, etc.) and business-level English Understanding of local business culture, communication styles, and professional etiquette Proven track record of meeting or exceeding sales quotas Preferred Requirements: Experience selling B2B SaaS solutions Technical aptitude and ability to discuss software functionality Understanding of sales methodologies (SPIN, Challenger, Solution Selling, etc.) Experience with sales engagement and productivity tools Knowledge of multiple industries and vertical markets Multilingual capabilities Show more

Cardiology Specialist With Vascular Experience We are seeking a dedicated and experienced Cardiology Specialist with expertise in vascular procedures to join our esteemed medical team. Key Responsibilities: Diagnose and treat cardiovascular and vascular conditions Perform vascular procedures and interventions Collaborate with a multidisciplinary team to provide comprehensive patient care Stay updated on the latest advancements in cardiology and vascular medicine Qualifications: Medical degree and board certification in Cardiology Specialized training or experience in vascular procedures Strong clinical skills and patient-focused approach Excellent communication and teamwork abilities Why Join Us: Competitive salary and benefits package Opportunities for professional growth and development Supportive and collaborative work environment If you are passionate about improving patient outcomes and have the required expertise, we would love to hear from you. Apply now to join our dynamic team! Powered by JazzHR 26osPwkPLp Show more

We seek a highly skilled and experienced SRE Engineer to join our dynamic team. The ideal candidate will have a robust background in software engineering, with extensive experience in using Terraform for infrastructure as code (IaC) to manage and provision cloud resources on AWS. Design, implement, and manage cloud infrastructure using Terraform and other IaC tools Proactively monitor, troubleshoot, and optimize the performance of cloud environments to guarantee high availability and efficiency Implement and maintain CI/CD pipelines for automated code deployment and infrastructure changes Develop and manage the data stack, encompassing infrastructure resources, implementation, and data lake setup Respond to and manage critical alerts and incidents, coordinating swift response efforts to mitigate impact and downtime Perform thorough root cause analysis (RCA) for incidents to identify and address underlying issues, developing solutions that prevent future occurrences Document and maintain comprehensive guides for system configurations and operational procedures, promoting knowledge sharing and operational excellence Requirements Bachelor's degree in Computer Science, Engineering, or a related field Solid 4+ years of experience in the same or relevant field Solid background in software engineering with advanced proficiency in high-level programming languages such as JavaScript or Python. Additional experience with NodeJS is a plus Expertise in AWS cloud services, with a keen understanding of architecture, security principles, and cost optimization strategies Strong experience in Linux system administration, including setup, configuration, and maintenance tasks Proficiency in containerization with Docker and orchestration with Kubernetes is highly valued Experience with scripting languages (Bash, Python, Go) and familiarity with Git workflows Demonstrated ability to automate and manage infrastructure using Terraform and other IaC tools in cloud environments like AWS or Azure Understanding of microservices architecture, Serverless technologies, and both SQL and NoSQL database systems Exceptional problem-solving abilities, alongside excellent teamwork and communication skills. Adaptability and a commitment to continuous learning in the fast-evolving cloud technology landscape are essential Show more

We're building production AI agents that change how our engineering org ships code and how employees work with internal knowledge. You'll join a small, high-ownership team. You'll write the agent logic, the tools, the data layer, and the pipelines that make them dependable at scale. Turn architecture into reliable, well-tested, production-grade systems. Role and Responsibilities : Implement agent logic, tools, and orchestration against the given architecture Build and tune RAG pipelines: ingestion → embeddings → retrieval → re-ranking → evaluation Design and optimize Postgres schemas, queries, and vector indexes for production load Build the test-generation and test-execution engine for the AI Code Pipeline Integrate with Git, CI/CD, and internal services Build evaluation harnesses, observability, and guardrails so agents are measurable and safe Own the reliability, latency, and cost of the systems you ship Write clean, typed, well-tested Python and participate actively in code review Requirements 4+ years of professional software engineering in Python, with deep, hands-on command of the language : async, typing, packaging, performance, and clean, maintainable code 1+ years building LLM / agentic systems — tool use / function calling, orchestration, prompting, and evaluation Strong problem-solving and debugging on ambiguous, real-world production problems Solid Postgres experience: schema design, query optimization, and extensions (pgvector) Experience shipping and operating production services — testing, CI/CD, observability, on-call mindset Comfort with Git-based workflows and code review Automating software testing: unit, integration, functional, security, performance Integrating with developer tooling and CI/CD systems 6+ months of demonstrated experience building with Claude Code in a development workflow Benefits Opportunity to work for a dynamic international company with a flat hierarchical structure, where your voice matters and your impact is seen. Show more