Payment Hub SME (Senior Architect) | Leading UAE bank

Solution architects (SAs) focus on helping customers deliver AI solutions. Our Solution Architects are passionate technologists with technical breadth and depth and strong interpersonal skills. · Participate in the overall architecture design of AI-related solutions. · Explore the implementation issues of AI application. · Improve and plan solutions for different needs. Requirements · Strong interest and experience in machine learning. · Interest and ability to understand and deliver cloud-based solutions to customers. · Experience in innovating in one of the sub-application areas of machine learning (e.g. NLP, CV, Speech). Experience building systems for AI/ML projects related to computer vision and natural language processing. · Written and verbal communication skills to effectively explain technical challenges and solutions. · Fluent English skills.

entring data/information of products into the system (Odoo) from barcode price category etc. changing existing items creating bills lpos and quotations using the system

Role Overview We are looking for a Senior Data Platform Architect to design and lead the implementation of a scalable, secure, and modern enterprise data platform. This role is central to our mission to enable real-time insights, machine learning at scale, and data democratization across the business. You will architect end-to-end data ecosystems — from ingestion to access — while driving standards that ensure trust, governance, and performance across domains. What You’ll Own Platform Strategy & Architecture Define and lead the data platform strategy, aligning with analytics, AI/ML, and business intelligence goals. Architect scalable solutions including lakehouse models, event-driven pipelines, and multi-cloud storage strategies. Technical Leadership Guide engineering teams in building robust batch and streaming data pipelines using best-in-class tools and frameworks. Define reference architectures, blueprints, and guardrails to enable repeatable, secure, and performant platform components. Modern Stack Enablement Evaluate and implement tools across data orchestration, transformation, lineage, cataloging, and observability — e.g., Airflow, dbt, Delta Lake, Kafka, Snowflake, Databricks. Governance by Design Embed data privacy, lineage, and access control into the platform’s core — enabling compliance with GDPR, HIPAA, and industry regulations. Cloud-Native Infrastructure Design cost-efficient, elastic architectures on AWS, Azure, or GCP using infrastructure-as-code (Terraform, CDK, etc.) Cross-Functional Alignment Partner with analytics, product, and infrastructure leaders to ensure the platform meets current and future business needs. Mentorship & Scale Uplift engineering maturity across the team via design reviews, architecture clinics, and hands-on mentorship. Requirements 8+ years in data engineering, architecture, or platform leadership roles Proven experience architecting large-scale distributed data platforms in cloud environments Strong expertise in data lake/lakehouse, streaming, and warehouse architectures Hands-on familiarity with tools such as Spark, Kafka, dbt, Airflow, Delta Lake, and cloud-native storage & compute (e.g., S3 + EMR / BigQuery / Synapse) Solid understanding of data modeling, cataloging, versioning, lineage, and access controls Excellent communication skills — able to influence at both engineering and executive levels Bachelor's or Master’s in Computer Science, Data Engineering, or a related field Preferred Qualifications Cloud certification (AWS Certified Data Analytics, GCP Professional Data Engineer, etc.) Experience deploying data platforms in regulated industries (banking, healthcare, public sector) Familiarity with data mesh, domain-driven design, or federated governance patterns Exposure to MLOps and integration of AI/ML workloads on data platforms Benefits Benefits & Growth Opportunities: ·       Competitive salary and performance bonuses ·       Comprehensive health insurance ·       Professional development and certification support ·       Opportunity to work on cutting-edge AI projects ·       International exposure and travel opportunities ·       Flexible working arrangements ·       Career advancement opportunities in a rapidly growing AI company This position offers a unique opportunity to shape the future of AI implementation while working with a talented team of professionals at the forefront of technological innovation. The successful candidate will play a crucial role in driving our company's success in delivering transformative AI solutions to our clients.

Urgent! Hiring, Send your CV now. Onsite IT Support Engineer Location: Abu Dhabi, UAE Salary: AED 4,500 Join: Immediate or Max 30 Days Driving License: Required (Company Vehicle Provided) --- We Need You If You: Have 3–5 years IT Support experience. Can provide L1 IT, Network & Cybersecurity support. Speak & write fluent English. Hold a valid UAE driving license, company car will be provided for trips. --- What You’ll Do: ✅ Troubleshoot & configure IT systems. ✅ Work with L2/L3 Engineers. ✅ Provide hands-on helpdesk & technical support. --- Schedule: Monday–Friday, 9:00 AM – 6:00 PM with 2 days weekend. --- Apply Now ⚠️ Only immediate joiners or max 30 days notice will be considered.

About the Role We’re looking for a AI Architect to join our growing AI delivery team. You’ll design and build large language model (LLM) systems that move beyond experimentation and into real-world production—powering search, summarization, knowledge assistants, and automation for enterprise clients. This is a hands-on, execution-focused role. You’ll work closely with product managers, engineers, and AI specialists to ship scalable solutions. You won’t be buried in research or building theoretical models—you’ll be deploying actual systems that users rely on every day. Requirements What You’ll Do Architect end-to-end GenAI systems, including prompt chaining, memory strategies, token budgeting, and embedding pipelines Design and optimize RAG (Retrieval-Augmented Generation) workflows using tools like LangChain, LlamaIndex, and vector databases (FAISS, Pinecone, Qdrant) Evaluate tradeoffs between zero-shot prompting, fine-tuning, LoRA/QLoRA, and hybrid approaches, aligning solutions with user goals and constraints Integrate LLMs and APIs (OpenAI, Anthropic, Cohere, Hugging Face) into real-time products and services with latency, scalability, and observability in mind Collaborate with cross-functional teams—translating complex GenAI architectures into stable, maintainable features that support product delivery Write and review technical design documents and remain actively involved in implementation decisions Deploy to production with industry best practices around version control, API lifecycle management, and monitoring (e.g., hallucination detection, prompt drift) What You’ll Bring Proven experience building and deploying GenAI-powered applications, ideally in enterprise or regulated environments Deep understanding of LLMs, vector search, embeddings, and GenAI design patterns (e.g., RAG, prompt injection protection, tool use with agents) Proficiency in Python and fluency with frameworks and libraries like LangChain, Transformers, Hugging Face, and OpenAI SDKs Experience with vector databases such as FAISS, Qdrant, or Pinecone Familiarity with cloud infrastructure (AWS, GCP, or Azure) and core MLOps concepts (CI/CD, monitoring, containerization) A delivery mindset—you know how to balance speed, quality, and feasibility in fast-moving projects Nice to Have Experience building multi-tenant GenAI platforms Exposure to enterprise-grade AI governance and security standards Familiarity with multi-modal architectures (e.g., text + image or audio) Knowledge of cost-optimization strategies for LLM inference and token usage This Role Is Not For ML researchers focused on academic model development without delivery experience Data scientists unfamiliar with vector search, LLM prompt engineering, or system architecture Engineers who haven’t shipped GenAI products into production environments Benefits Benefits & Growth Opportunities: ·       Competitive salary and performance bonuses ·       Comprehensive health insurance ·       Professional development and certification support ·       Opportunity to work on cutting-edge AI projects ·       International exposure and travel opportunities ·       Flexible working arrangements ·       Career advancement opportunities in a rapidly growing AI company This position offers a unique opportunity to shape the future of AI implementation while working with a talented team of professionals at the forefront of technological innovation. The successful candidate will play a crucial role in driving our company's success in delivering transformative AI solutions to our clients.

BlackStone eIT is in search of a talented Senior TAMM Developer to join our growing team. As a Senior TAMM Developer, you will be responsible for designing and developing customized solutions using the TAMM (Targeted Application Modernization Methodology) framework. You will collaborate with cross-functional teams to translate business requirements into effective technical solutions that optimize application performance and enhance user experience. Responsibilities Design and develop applications using the TAMM methodology, ensuring best practices and standards are followed Analyze business requirements and translate them into technical specifications and solution designs Collaborate with project stakeholders to deliver high-quality solutions within project timelines Develop and maintain documentation for designed solutions, including user guides and technical specifications Troubleshoot and resolve application issues, ensuring minimal disruption to business operations Mentor junior developers and provide guidance on TAMM best practices Stay current with industry trends and advancements in application modernization and development methodologies Requirements Bachelor's degree in Computer Science, Information Technology, or a related field Minimum of 3 years of experience in software development, with a focus on application modernization and TAMM Strong experience with programming languages such as Java, C#, or Python Proficiency in database technologies, including SQL and NoSQL databases Understanding of web services and APIs (RESTful and SOAP) Familiarity with cloud platforms and DevOps principles Excellent problem-solving and analytical skills Strong communication and teamwork skills Prior experience in Agile development methodologies is a plus Knowledge of best practices in application architecture and design is highly desirable