Al-Haffar | AlHaffar – The Specialist in Job Search in United Arab Emirates
Welcome to Al-Haffar, the leading job search platform in United Arab Emirates! We specialize in gathering the latest job opportunities from top companies and presenting them in an organized and easy-to-read format. Our goal is to connect job seekers with the right opportunities by providing clear and detailed job postings, including company information, job descriptions, and application guidelines.
At Al-Haffar, we strive to make job searching easier and more efficient. Whether you're looking for
your next career move or exploring new opportunities, we're here to help! 🚀
↚Available Job Vacancies
Welcome to Al-Haffar, the leading job search platform in United Arab Emirates! We specialize in gathering the latest job opportunities from top companies and presenting them in an organized and easy-to-read format. Our goal is to connect job seekers with the right opportunities by providing clear and detailed job postings, including company information, job descriptions, and application guidelines.
At Al-Haffar, we strive to make job searching easier and more efficient. Whether you're looking for
your next career move or exploring new opportunities, we're here to help! 🚀
↚
Available Job Vacancies
Senior Data Engineer
Skills and Attributes
Strong technical expertise in data modeling, data ingestion, distributed processing, data warehousing, and ETL processes.
Experience working with Apache Kafka and Spark Streaming.
Exposure to connecting and querying different data sources, including NoSQL databases (e.g., MongoDB), MySQL, Elasticsearch, and Kafka topics.
Proficiency in SQL, Python, PySpark, Spark SQL and a solid understanding of the Databricks platform.
Ability to build large-scale batch and real-time data pipelines.
Knowledge of best practices for optimizing Databricks cluster configurations (size, type, memory) based on data requirements and delivering optimized code.
Experience in maintaining, monitoring, and handling enhancement requests for data pipelines.
Familiarity with visualization tools such as Kibana and QlikView.
Data Scientist
Requirements
MS degree in Statistics, Math, Data Analytics, or a related quantitative field
5+ years Professional experience in Advanced Data Science, such as predictive modeling, statistical analysis, machine learning, text mining, geospatial analytics, time series forecasting, optimization
Experience with one or more Advanced Data Science software languages (R, Python, Scala, SAS)
Hand on experience with Deep Learning models such as Image classification, Object Detection, Style transfer and similar
Hands-on experience with any of Python DL libraries such as PyTorch, TensorFlow on keras
Hands-on experience with working on CUDA backend
Hands-on experience with Linux system terminal, shell scripting
Working knowledge of ELK stack and Message Broker queues
Proven ability to deploy machine learning models from the research environment (Jupyter Notebooks) to production via procedural or pipeline approaches
Artificial Intelligence Engineer
Responsibilities:
Build, deploy, and manage AI models and applications in production environments, ensuring scalability and reliability.
Productionize AI deployments, leveraging Kubernetes, Ray, and LLMOps to run models and services at scale.
Develop and optimize APIs using FastAPI, enabling smooth integration of AI models into various applications.
Use tools like Chainlit, Streamlit, and vllm to build and deploy interactive AI applications, including chatbots and intelligent agents.
Integrate large language models (LLMs) with external APIs (e.g., internet search or other services) to create advanced, multi-functional agents.
Work with cloud platforms such as AWS and Azure to deploy, monitor, and scale AI applications effectively.
Collaborate with Data Scientists, AI Engineers, and Software Engineers to design solutions that support both research and production needs.
Manage and version control code using Git, ensuring efficient collaboration and deployment processes.
Senior CloudOps Engineer
Responsibilities & Authorities
• Design, deploy, and manage cloud-based infrastructure and services on platforms such as AWS, Azure or Google Cloud.
• Act as a subject matter expert (SME) for designing resilient, high-availability (HA) cloud architectures that span multiple regions and clouds.
• Expertise in managing multi-account cloud environments, including account creation, organization, and governance across AWS Organizations, Azure Management Groups, or Google Cloud Resource Hierarchies.
• Proficiency in using tools like AWS Control Tower, Azure Blueprints, or Google Cloud Resource Manager to automate and standardize account setup and governance.
• Experience in designing and implementing cloud landing zones that serve as secure, scalable, and compliant foundations for deploying workloads in multi-account environments.
• Expertise in automating the enforcement of organizational policies, tagging strategies, and compliance requirements across multiple accounts using IaC and policy-as-code tools like AWS Config, Azure Policy, or Google Cloud Organization Policies.
• Deep understanding of the Well-Architected Framework with a focus on the five pillars: Operational Excellence, Security, Reliability, Performance Efficiency, and Cost Optimization.
Senior Software Engineer - Backend
Key Responsibilities:
Design, develop, and maintain scalable and efficient backend services using NestJS and TypeScript.
Work with microservices architecture to build distributed systems that meet the needs of high-volume user traffic.
Integrate and optimize various databases, including MySQL, DynamoDB, and Neptune, ensuring data integrity and performance.
Implement caching strategies using ElasticCache for performance optimization.
Develop and deploy media compression, transcoding, and streaming solutions, leveraging technologies such as Amazon Media Elementals and Amazon
Interactive Video Service.
Utilize AWS services like Lambda, Step Functions, S3, and WAF to enhance application functionality, security, and scalability.
Use Kafka, gRPC, protocol buffers, SNS, and SQS for effective asynchronous communication and event-driven architecture.
Ensure secure, low-latency, real-time communication through native WebSockets and XMPP.
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Application Steps:
- Open the application link
- Browse the available jobs and select the one that suits you.
- Click on "Apply Now" and enter the required information.
- Ensure that your details are entered correctly, then click "Submit".
- Open the application link
- Browse the available jobs and select the one that suits you.
- Click on "Apply Now" and enter the required information.
- Ensure that your details are entered correctly, then click "Submit".