Technical Engineer

*. IT Technical support person - Male. *. Minimum 2 Years Experience *. Good knowledge of Work station network configuration, Ms Outlook Configuration & Email Management, Windows 10 OS, Backup Software Management, Router configuration, Firewall Configuration. *. O365 Admin Mgmt, End point Threat Security App Mgmt and Windows server admin knowledge will be added advantage *. Fluent in English communication. *. Willingness to learn new technology and IT solution. ------------------------------------------------------------------------------------------------------ *. Working hours 9AM - 6PM or 8AM - 5PM [Monday to Saturday]. *. Salary Dhs.3000 + Work Transportation + Bonus + Other allowances. Job Type: Full-time

Machine Learning Operations (ML/Ops) Engineer - Team Lead Location / Work Setup: Remote About Us: We are a dynamic and innovative team currently engaged in an exciting Request for Quote (RFQ) process for a client based in Hong Kong. We are on the lookout for a skilled Machine Learning Operations Engineer, particularly someone experienced in deploying Machine Learning models into pipelines. This is a fantastic opportunity to be part of a high-impact project where your contributions will shape the future capabilities of our client's ML infrastructure. Key Responsibilities: Lead a team of ML/Ops engineers in deploying and managing Machine Learning models. Build and enhance capabilities to seamlessly integrate ML models into existing pipelines. Collaborate with cross-functional teams to understand project requirements and ensure successful deployment. Provide ongoing support to accommodate surges in requirements, focusing on scalability and efficiency. Utilize Python for scripting and automation tasks. Work with Cloud platforms, particularly Azure and GCP to optimize machine learning workflows. Requirements For Team Lead Position: At least 3 years of experience in ML/Ops or a related field. Proven leadership skills with the ability to guide and inspire a team. Excellent communication skills to effectively liaise with clients and internal teams. For ML/Ops Engineer Position: Strong experience in deploying Machine Learning models. Proficiency in Python for scripting and automation. Hands-on experience with Cloud platforms, particularly Azure and GCP. Prior experience in addressing scalability and pricing concerns in ML operations. How to Apply: If you are a passionate ML/Ops professional ready to take on a leadership role or contribute your expertise to a cutting-edge project, we want to hear from you. Please submit your resume, highlighting your relevant experience, and a cover letter detailing your approach to scalability and pricing in ML operations. Note: This is a unique opportunity to make a significant impact on a client's ML capabilities, and we are excited to welcome individuals who share our enthusiasm for innovation and excellence.

?????? ???????? ???? ?? ?? ??????????. ??? ???????????????? Architect and manage infrastructure across AWS (EKS, EC2, ElastiCache, MSK, VPC, IAM) and on-prem clusters. Build and maintain hybrid networking solutions, ensuring secure, low-latency connectivity. Implement autoscaling, load balancing, and disaster recovery for production workloads. Operate Kubernetes clusters (EKS + on-prem) including scaling, service discovery, ingress, and network policies. Manage secrets, RBAC, Pod Security Standards, and secure container runtimes. Automate infrastructure provisioning with Terraform and Ansible. Standardize build/release processes for Golang, Android/iOS, and cross-platform desktop apps. Deploy and manage observability stacks (Prometheus, Grafana, Loki, OpenTelemetry). Define SLOs/SLIs, implement alerting, and run performance/load tests. Implement network security policies, least privilege IAM, and secrets rotation. Integrate vulnerability scanning (containers, IaC, dependencies) into pipelines. ????????????: Strong experience with Kubernetes (EKS + on-prem), container orchestration, and service meshes. Expertise in AWS services (VPC, EC2, IAM, CloudWatch, EKS, ElastiCache, MSK). Proficiency in Terraform, Ansible, and infrastructure as code principles. Solid knowledge of CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins) and observability tools: Prometheus, Grafana, Loki, OpenTelemetry. Familiarity with Linux internals, networking (iptables, nftables, routing).

Join BlackStone eIT as a Technical Project Manager and become a key player in transforming complex technical concepts into successful project outcomes. In this pivotal role, you will oversee the planning, execution, and delivery of projects, ensuring alignment with our strategic objectives and delivering value to our clients. Your technical acumen and project management expertise will be essential in guiding teams through product development processes and addressing challenges along the way. By fostering effective communication between stakeholders and project teams, you will drive projects to completion on time and within budget. Responsibilities: Develop comprehensive project plans and specify project scope, goals, deliverables, and deliverable timelines. Lead cross-functional project teams to ensure alignment and effective execution of project goals. Monitor and report on progress of projects, addressing any issues or risks that arise during execution. Manage relationships with clients and stakeholders, ensuring their needs and expectations are met. Implement best practices and methodologies for project management, ensuring adherence to defined processes. Facilitate meetings and status updates to promote transparency and effective communication among teams. Oversee project budgets, resource allocation, and scheduling to maximize efficiency. Act as the point of contact for all project-related communications. Requirements Bachelor's degree in Computer Science, Information Technology, or a related field. A minimum of 3-5 years of experience in project management, especially in the technology sector. Proficient in project management methodologies such as Agile, Scrum, or Waterfall. Strong understanding of technical concepts related to software development and IT infrastructure. Exceptional leadership, communication, and interpersonal skills, with the ability to motivate teams. Solid analytical and problem-solving skills, with attention to detail. Ability to manage multiple projects and prioritize effectively in a fast-paced environment. Experience with project management tools (e.g., JIRA, Asana, Trello) is desirable. PMP or equivalent certification is a plus. Benefits Paid Time Off Performance Bonus Training & Development

eCommerce Administrator Location: Dubai, UAE (On-site) Job Type: Full-Time Experience: Minimum 5 years in a similar eCommerce role Samawa Perfumes, a leading perfume company based in Dubai, is looking for a highly skilled and detail-oriented eCommerce Administrator to manage and optimize our online sales channels across Shopify, Amazon (UAE, USA & global), Noon, and other marketplaces. As the eCommerce Administrator, you will be responsible for overseeing listings, pricing, inventory, and content management to ensure a seamless shopping experience and drive online sales growth. This is a key role that requires a strong grasp of both technology and business strategy. Key Responsibilities: ✅ Product Listing & Optimization Create, maintain, and optimize product listings (titles, descriptions, images, SEO) on Shopify, Amazon, Noon, and other marketplaces to maximize visibility and conversions. ✅ Inventory, Pricing & Promotions Management Monitor and update stock levels and pricing using advanced Excel. Coordinate seasonal deals and promotional campaigns across platforms. ✅ Shopify Website Administration Work closely with external vendors to maintain and update the Shopify homepage, product pages, collections, and other sections to ensure best-in-class user experience. ✅ Marketplace Expansion Lead the expansion into international marketplaces including Amazon Europe, Australia, and others. Manage FBA processes and compliance. ✅ Business & Workflow Optimization Identify and implement improvements in internal workflows, inventory planning, and sales strategies to enhance performance and operational efficiency. Requirements: Bachelor’s degree in Business, Marketing, IT, or related field Minimum 5 years of hands-on experience in managing eCommerce operations Proven experience with Shopify and Amazon Seller Central (UAE, US or other regions) Proficiency in Advanced Excel (formulas, pivot tables, bulk uploads) ? Strong analytical, organizational, and problem-solving skills ️ Excellent communication skills in English Must be in Dubai, UAE to join immediately What We Offer: A dynamic and fast-paced work environment Opportunity to manage and grow international eCommerce operations Competitive salary package Exposure to global eCommerce markets and trends A supportive and creative team culture Ready to take your eCommerce career to the next level? Apply now and join a growing brand committed to excellence and innovation in online retail.

We are looking for a Senior Technology Engineer to join the our client which is a leading UAE bank. The selected candidate will be responsible for building and maintaining a robust, scalable, and secure Data Science Platform, enabling high-performance data workloads and supporting enterprise-grade analytics and AI use cases. You will work in an Agile + DevOps environment, collaborating with cross-functional squads to implement automation-first, cloud-native, and containerized infrastructure solutions. Key Responsibilities: Platform Engineering & Automation Hands-on Tier-2 production experience with Cloudera platform including installation, upgrade, and maintenance Optimize performance of Spark jobs in collaboration with Data Engineering teams Design and implement CI/CD pipelines for data and analytics projects using tools such as GitHub Actions, Jenkins, or ArgoCD Develop automated workflows using scripting languages (Python, Shell, Groovy) Automate security and compliance checks as per regulatory standards Implement observability tools and performance monitoring practices Infrastructure & Containerization Build and manage containerized environments using Docker or Podman Deploy and manage Kubernetes/OpenShift-based solutions Perform automated patching and lifecycle management of platform components Ensure high availability, scalability, and fault tolerance of the infrastructure DevOps & Agile Delivery Work closely with product squads and stakeholders to translate requirements into deliverable engineering solutions Contribute to backlog grooming, sprint planning, and DevOps cycles Drive platform enhancements from design to delivery in alignment with architectural and security standards Deliver robust, production-ready solutions that minimize operational overhead Collaboration & Stakeholder Engagement: Act as a technology evangelist and collaborate with teams from Security, Architecture, Agile, and Data Chapters Facilitate platform adoption and onboarding of new use cases and data teams Promote reusability, standardization, and simplification across the platform Represent the platform in relevant forums and design reviews Required Skills & Experience: Technical Expertise: Minimum 8+ years of relevant experience in technology engineering roles Minimum 4 years of hands-on Hadoop production experience (preferably with Cloudera) Strong expertise in: Cloudera (installation, maintenance, tuning) CI/CD tools: GitHub Actions, Jenkins, ArgoCD Scripting: Python, Shell, Groovy Linux OS, basic networking, Git Ansible or similar automation frameworks Docker, Podman, Kubernetes, OpenShift Platform observability and monitoring practices Nice to Have: Experience with Data Science platforms/products Public cloud experience (AWS, Azure, or GCP) Experience in the banking or financial services domain Behavioral Competencies: Self-starter with high initiative and ownership Collaborative and able to build trust-based relationships Calm and solution-oriented under pressure Analytical thinker with strong problem-solving skills Passionate about technology, innovation, and continuous improvement Educational Qualifications: Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field Equivalent work experience will also be considered Why Join? Be part of a digital transformation journey for a top-tier bank Work in a fast-paced Agile + DevOps environment Contribute to large-scale data and AI-driven initiatives Opportunity to work with the latest tech stack in Data Engineering & Analytics