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OnHires

<div><h4 class="jobSectionHeader">Location: Dubai, UK, Cyprus 
Time: (GMT+4)</h4><h4 class="jobSectionHeader">
About the Company</h4>
Our client is a leading liquidity and technology provider specializing in the crypto and foreign exchange (FX) industries. With over 10 years of experience, they deliver advanced B2B tech solutions that empower brokers and financial institutions to scale faster while minimizing infrastructure costs. Their clients include licensed brokers, crypto exchanges, hedge funds, and asset managers globally.
Overview:
We are currently looking for a Hub Team Platform Engineer/ FX Liquidity Platform Engineer who will ensure the smooth operation of the hubs and maintain the correct operation of the system.<h4 class="jobSectionHeader">
Key Responsibilities:</h4><ul>
<li>
FX Client Onboarding: Full management of the institutional client onboarding lifecycle, including setup and configuration of:</li>
<li>
Direct FIX connections.</li>
<li>
Connectors for MT4/MT5 Bridges.</li>
<li>
Giveup (Dropcopy) connections for reporting and trade replication.</li>
<li>
Liquidity Hub Operations: Daily monitoring, maintenance, and assurance of optimal functioning for Liquidity Hubs.</li>
<li>
Reconciliation &amp; Compliance: Conducting critical Reconciliation of the Coverage Account against the Margin Account within the Hubs to mitigate operational risks.</li>
<li>
Incident Management: Rapid identification and resolution of issues related to FIX Protocol, Network Latency, and APIs, including troubleshooting and escalation during emergencies.</li>
<li>
Reporting &amp; Data Analysis: Generation of comprehensive Volume Reports and custom reports (Custom reports) for financial control and risk analysis.</li>
<li>
Process Ownership: Full handling of Compensation cases from initial analysis to final settlement (A to Z).</li>
<li>
Conformance Testing: Execution of Conformance Testing for Taker and Maker APIs, ensuring the integration readiness of new partners.</li>
</ul><h3 class="jobSectionHeader">
Requirements:</h3><ul>
<li>
Liquidity Hubs (Mandatory) &ndash; OneZero, PrimeXM, Centroid, FXCubic</li>
<li>
Connectivity Protocols &ndash; FIX Protocol (Expert Level), REST API, RabbitMQ (or Kafka).</li>
<li>
Databases &ndash; MySQL (for complex queries, reporting, and Reconciliation tasks).</li>
<li>
Diagnostics &ndash; Network troubleshooting (traceroute, telnet, TCP/IP), Monitoring Latency.</li>
<li>
Trading Systems &ndash; MT4/MT5 (Connector / Bridge Technology).
</li><li>English &ndash; B2</li>
<li>
Experience in the fintech sector &ndash; must have</li>
<li>
Meta trader knowledge &ndash; preferably</li>
</ul>
Benefits:<ul>
<li>
Competitive salary based on knowledge and experience.</li>
<li>
24 days of annual leave (as per group policy).</li>
<li>
Fully remote.</li>
<li>
Support for continuing education, blockchain certifications, and regulatory training (after one year with the company).</li></ul></div>

Platform Engineer/ FX Liquidity Platform Engineer

Glow Beauty On Demand

Job Title ML Platform Engineer Generative AI &amp; Machine Learning Infrastructure Job Description ML Platform Engineer Generative AI &amp; Machine Learning Infrastructure Location: Dubai, UAE Industry: Technology / AI / Food &amp; Q-commerce Function: Machine Learning Engineering Gender: Any Candidate Nationality: Any Job Type: Full-time Role Overview Talabat, the leading on-demand food and Q-commerce app in the region, is seeking an experienced ML Platform Engineer to design, develop, and scale robust machine learning and generative AI platforms. The role involves building end-to-end ML infrastructure, enabling fast experimentation, efficient model deployment, and seamless monitoring to support next-generation AI-driven solutions for millions of users. Key Responsibilities * Build scalable ML platforms supporting data ingestion, model training, deployment, and monitoring for both traditional ML and generative AI models * Design standardized ML workflows using tools like MLflow, Kubeflow, and implement CI/CD pipelines with Docker and Kubernetes * Optimize generative AI deployments involving transformers, embeddings, RAG systems, and vector databases such as Pinecone, Redis, or Weaviate * Implement real-time serving frameworks like TensorFlow Serving, NVIDIA Triton, or Seldon for production-grade inference * Automate model lifecycle management and implement observability measures to track performance, detect drift, and maintain reliability * Collaborate with data engineering and product teams to align ML infrastructure with strategic business goals * Drive cloud infrastructure integration using AWS or GCP services, including Kubernetes clusters, managed ML services, and serverless components * Ensure cost efficiency, performance optimization, and adherence to best practices for MLOps and generative AI workflows Qualifications and Experience * Bachelor s degree in Computer Science, Engineering, or related field (Master s preferred) * Minimum 3 years of experience in ML platform engineering, MLOps, or generative AI infrastructure roles * Expertise in Python, ML frameworks (TensorFlow, PyTorch), and APIs such as Hugging Face and LangChain * Hands-on experience with containerization, orchestration (Docker, Kubernetes), and infrastructure-as-code tools (Terraform, Helm) * Proven ability to build real-time inference pipelines integrated with feature stores and streaming platforms like Kafka or Kinesis * Familiarity with SQL for data processing and knowledge of observability tools for monitoring AI systems * Strong understanding of model optimization techniques including quantization, batching, and prompt-tuning strategies

ML Platform Engineer

Job Title ML Platform Engineer Generative AI &amp; Machine Learning Infrastructure Job Description ML Platform Engineer Generative AI &amp; Machine Learning Infrastructure Location: Dubai, UAE Industry: Technology / AI / Food &amp; Q-commerce Function: Machine Learning Engineering Gender: Any Candidate Nationality: Any Job Type: Full-time Role Overview Talabat, the leading on-demand food and Q-commerce app in the region, is seeking an experienced ML Platform Engineer to design, develop, and scale robust machine learning and generative AI platforms. The role involves building end-to-end ML infrastructure, enabling fast experimentation, efficient model deployment, and seamless monitoring to support next-generation AI-driven solutions for millions of users. Key Responsibilities * Build scalable ML platforms supporting data ingestion, model training, deployment, and monitoring for both traditional ML and generative AI models * Design standardized ML workflows using tools like MLflow, Kubeflow, and implement CI/CD pipelines with Docker and Kubernetes * Optimize generative AI deployments involving transformers, embeddings, RAG systems, and vector databases such as Pinecone, Redis, or Weaviate * Implement real-time serving frameworks like TensorFlow Serving, NVIDIA Triton, or Seldon for production-grade inference * Automate model lifecycle management and implement observability measures to track performance, detect drift, and maintain reliability * Collaborate with data engineering and product teams to align ML infrastructure with strategic business goals * Drive cloud infrastructure integration using AWS or GCP services, including Kubernetes clusters, managed ML services, and serverless components * Ensure cost efficiency, performance optimization, and adherence to best practices for MLOps and generative AI workflows Qualifications and Experience * Bachelor s degree in Computer Science, Engineering, or related field (Master s preferred) * Minimum 3 years of experience in ML platform engineering, MLOps, or generative AI infrastructure roles * Expertise in Python, ML frameworks (TensorFlow, PyTorch), and APIs such as Hugging Face and LangChain * Hands-on experience with containerization, orchestration (Docker, Kubernetes), and infrastructure-as-code tools (Terraform, Helm) * Proven ability to build real-time inference pipelines integrated with feature stores and streaming platforms like Kafka or Kinesis * Familiarity with SQL for data processing and knowledge of observability tools for monitoring AI systems * Strong understanding of model optimization techniques including quantization, batching, and prompt-tuning strategies What We Offer * Opportunity to work on advanced ML and AI projects impacting millions of users in the Middle East * Competitive salary and benefits package * A collaborative, innovation-driven environment with cutting-edge tools and technologies * Career development in one of the fastest-growing tech ecosystems in the region

ML Platform Engineer Generative AI & Machine Learning

Job Title ML Platform Engineer Generative AI &amp; Machine Learning Infrastructure Job Description ML Platform Engineer Generative AI &amp; Machine Learning Infrastructure Location: Dubai, UAE Industry: Technology / AI / Food &amp; Q-commerce Function: Machine Learning Engineering Gender: Any Candidate Nationality: Any Job Type: Full-time Role Overview Talabat, the leading on-demand food and Q-commerce app in the region, is seeking an experienced ML Platform Engineer to design, develop, and scale robust machine learning and generative AI platforms. The role involves building end-to-end ML infrastructure, enabling fast experimentation, efficient model deployment, and seamless monitoring to support next-generation AI-driven solutions for millions of users. Key Responsibilities * Build scalable ML platforms supporting data ingestion, model training, deployment, and monitoring for both traditional ML and generative AI models * Design standardized ML workflows using tools like MLflow, Kubeflow, and implement CI/CD pipelines with Docker and Kubernetes * Optimize generative AI deployments involving transformers, embeddings, RAG systems, and vector databases such as Pinecone, Redis, or Weaviate * Implement real-time serving frameworks like TensorFlow Serving, NVIDIA Triton, or Seldon for production-grade inference * Automate model lifecycle management and implement observability measures to track performance, detect drift, and maintain reliability * Collaborate with data engineering and product teams to align ML infrastructure with strategic business goals * Drive cloud infrastructure integration using AWS or GCP services, including Kubernetes clusters, managed ML services, and serverless components * Ensure cost efficiency, performance optimization, and adherence to best practices for MLOps and generative AI workflows Qualifications and Experience * Bachelor s degree in Computer Science, Engineering, or related field (Master s preferred) * Minimum 3 years of experience in ML platform engineering, MLOps, or generative AI infrastructure roles * Expertise in Python, ML frameworks (TensorFlow, PyTorch), and APIs such as Hugging Face and LangChain * Hands-on experience with containerization, orchestration (Docker, Kubernetes), and infrastructure-as-code tools (Terraform, Helm) * Proven ability to build real-time inference pipelines integrated with feature stores and streaming platforms like Kafka or Kinesis * Familiarity with SQL for data processing and knowledge of observability tools for monitoring AI systems * Strong understanding of model optimization techniques including quantization, batching, and prompt-tuning strategies

ML Platform Engineer Generative AI & Machine Learning Infrastructure

GSSTech Group

<div>We are looking for an experienced DevOps / Platform Engineer with strong expertise in OpenShift, Kafka, CI/CD, Cloud, and distributed systems to join our technology team. The ideal candidate will have hands-on experience building scalable, secure, and cloud-native platforms in high-throughput environments.
Education
Degree, Postgraduate in Computer Science or related field (or equivalent industry experience)
Experience
Minimum 5+ years of development and design experience in OpenShift/Jenkins, ArgoCD and Kafka.
Technical Skills<ul><li>Containerization and orchestration (Docker and OpenShift/Kubernetes)</li><li>Enterprise and Open Source Redis setup, configuration and support.
</li><li>Kafka setup and configuration experience with high throughput environment.</li><li>Source control (GIT), automated build/deployment pipelines (Jenkins, ArgoCD, Kaniko, Shipwright etc.)</li><li>Public Cloud preferably Azure and OCI</li><li>Linux OS configuration and using shell scripting</li><li>Working with streaming data sets at scale</li><li>Public Cloud automation toolset</li><li>Cloud Native applications</li><li>Understanding of GitOps</li><li>Extensive coding experience and knowledge in event driven and streaming architecture</li><li>Good hands-on experience with design patterns and their implementation</li><li>Experience doing automated unit and integration testing</li><li>Well versed with CI/CD principles (GitHub, Jenkins etc.), and actively involved in solving, troubleshooting issues in distributed services ecosystem</li><li>Familiar with Distributed services resiliency and monitoring in a production environment.</li><li>Responsible for adhering to established policies, following best practices, developing, and possessing an in-depth understanding of exploits and vulnerabilities, resolving issues by taking the appropriate corrective action.</li><li>High level knowledge of compliance and regulatory requirements of data including but not limited to encryption, anonymization, data integrity, policy control features in large scale infrastructures</li><li>Understand data sensitivity in terms of logging, events and in memory data storage&ndash; such as no card numbers or personally identifiable data in logs.</li><li>Distributed systems</li><li>Network fundamentals and host-level routing</li><li>Tuning distributed systems</li><li>Automated testing, Security engineering practices and tools.</li><li>Event driven architecture</li><li>Good to have Flink, Beam / Kafka streams, Apache Spark or similar streaming technologies</li></ul>
Functional Skills
<ul><li>Experience in Agile methodology.</li><li>Ensure quality of technical and application architecture and design of systems across the organization.</li><li>Analytical thinking
</li><li>Effectively research and benchmark technology against other best in class technologies.</li><li>Able to influence multiple teams on technical considerations, increasing their productivity and effectiveness, by sharing deep knowledge and experience.</li><li>Self-motivator and self-starter, ability to own and drive things without supervision and works collaboratively with the teams across the organization.</li></ul>
Soft Skills<ul><li>Have excellent soft skills and interpersonal skills to interact team members.
</li><li>Strategic Thinking with Research and Development mindset</li><li>Excellent communication skills (verbal, written, and presentation)</li></ul></div>

Senior DevOps / Platform Engineer (OpenShift | Kafka | ArgoCD)

Innovation Markets Ltd

About UsInnovation Markets is one of the leading educational companies in the trading and investing world, specifically Foreign Exchange and Cryptocurrencies. We offer the full suite of education within our members-only mobile and desktop apps, ranging from course lessons, tutorials, live webinars, podcasts, a digital library full of books, guides and newsletters, and daily guidance in the form of videos and text updates from our educators.OverviewWe are seeking a highly motivated and experienced Cross-Platform Software Engineer to join our team. You will be instrumental in designing, developing, and maintaining scalable applications across our multi-platform ecosystem including Windows, macOS, iOS, and Android, with desktop applications built using Electron frameworks. You'll work across the full software development lifecycle, tackling front-end interfaces, back-end systems, and database integrations. Your code will help deliver seamless user experiences and ensure reliability and performance for our global platform.We're looking for a strong developer and a great problem solver who has a passion for creating high quality software products with incredible performance, stability, and smooth user experience.A creative and innovative mind is crucial. We want someone who doesn't just execute tasks but stays up to date with industry trends, emerging technologies, and best practices. We want you to think outside of the box, be daring and bring innovative ideas to the team!Responsibilities<ul><li>Design, develop, and deliver secure, scalable, and high-quality mobile and desktop applications.</li><li>Assess and maintain existing applications across multiple platforms, working with diverse codebases and frameworks.</li><li>Lead software development projects ensuring delivery of clean, maintainable, and high-performing code.</li><li>Optimise application performance to ensure reliability, scalability, and efficient resource usage across all platforms.</li><li>Explore and integrate emerging technologies including AI-driven features as part of our product roadmap.</li><li>Stay up to date with emerging technologies, continuously evaluating and adopting innovations that enhance product development.</li><li>Maintain and improve product quality through bug fixes, performance analysis and tuning.</li></ul>Skills<ul><li>3-5 years of cross-platform application development experience including Windows, Mac, iOS and Android platforms.</li><li>Ability to quickly assess and work with existing codebases across different mobile frameworks including Electron.js and React Native.</li><li>Advanced knowledge of Electron framework, JavaScript/TypeScript, HTML, CSS and npm (node package manager).</li><li>Experience with reactive programming patterns and structured data modelling frameworks.</li><li>Experience maintaining auto-updating systems and deployment processes.</li><li>Cross-platform deployment experience including app store submission processes.</li><li>Proficiency using debugging tools and performance profiling across multiple platforms.</li><li>Skilled in managing memory usage, CPU usage, and overall application performance tuning.</li><li>Experience with back-end systems and database integrations.</li><li>Able to work quickly and efficiently with a strong eye for detail and catching errors.</li><li>Impeccable communication skills in English.</li><li>Ability to work independently.</li></ul>ExperienceYou must have experience working with the following:<ul><li>Languages: Go, Preact, JavaScript, HTML, CSS, Handlebars, SASS, Typescript</li><li>Framework: Electron.js, React Native</li><li>Database: Postgres, Redis, Firebase</li></ul>You must have experience with some of the following third-party platforms:<ul><li>Discord, Firebase, Zoom, Intercom, Rewardful, Sentry, Ably, BunnyCDN, Shopify, Heroku, CrunchyBridge, Make.com, Codemagic, GitHub, Sectigo, Apple Developer, Google Play Developer, Stripe, Wasabi, and Cloudflare.</li></ul>While we don&rsquo;t expect you to have hands on experience with every tool listed, proficiency in several and a demonstrated ability to learn and adapt to new systems quickly will be key to success in this role.This is a hybrid role. Being able to work alongside us in our Dubai office would be preferable.Job Type: Full-time

Cross-Platform Software Engineer

Delivery Hero

<div>Company Description 
Since launching in Kuwait in 2004, talabat, the leading on-demand food and Q-commerce app for everyday deliveries, has been offering convenience and reliability to its customers. talabat&rsquo;s local roots run deep, offering a real understanding of the needs of the communities we serve in eight countries across the region.
We harness innovative technology and knowledge to simplify everyday life for our customers, optimize operations for our restaurants and local shops, and provide our riders with reliable earning opportunities daily.
Here at talabat, we are building a high performance culture through engaged workforce and growing talent density. We're all about keeping it real and making a difference. Our 6,000+ strong talabaty are on an awesome mission to spread positive vibes. We are proud to be a multi great place to work award winner. 
Job Description 
Summary
 As the leading delivery platform in the region, we have a unique responsibility and opportunity to positively impact millions of customers, restaurant partners, and riders. To achieve our mission, we must scale and continuously evolve our machine learning capabilities, including cutting-edge Generative AI (genAI) initiatives. This demands robust, efficient, and scalable ML platforms that empower our teams to rapidly develop, deploy, and operate intelligent systems.
As an ML Platform Engineer, your mission is to design, build, and enhance the infrastructure and tooling that accelerates the development, deployment, and monitoring of traditional ML and genAI models at scale. You&rsquo;ll collaborate closely with data scientists, ML engineers, genAI specialists, and product teams to deliver seamless ML workflows&mdash;from experimentation to production serving&mdash;ensuring operational excellence across our ML and genAI systems. 
Qualifications 
Responsibilities<ul><li>
Design, build, and maintain scalable, reusable, and reliable ML platforms and tooling that support the entire ML lifecycle, including data ingestion, model training, evaluation, deployment, and monitoring for both traditional and generative AI models. 
</li><li>Develop standardized ML workflows and templates using MLflow and other platforms, enabling rapid experimentation and deployment cycles. 
</li><li>Implement robust CI/CD pipelines, Docker containerization, model registries, and experiment tracking to support reproducibility, scalability, and governance in ML and genAI. 
</li><li>Collaborate closely with genAI experts to integrate and optimize genAI technologies, including transformers, embeddings, vector databases (e.g., Pinecone, Redis, Weaviate), and real-time retrieval-augmented generation (RAG) systems. 
</li><li>Automate and streamline ML and genAI model training, inference, deployment, and versioning workflows, ensuring consistency, reliability, and adherence to industry best practices. 
</li><li>Ensure reliability, observability, and scalability of production ML and genAI workloads by implementing comprehensive monitoring, alerting, and continuous performance evaluation. 
</li><li>Integrate infrastructure components such as real-time model serving frameworks (e.g., TensorFlow Serving, NVIDIA Triton, Seldon), Kubernetes orchestration, and cloud solutions (AWS/GCP) for robust production environments. 
</li><li>Drive infrastructure optimization for generative AI use-cases, including efficient inference techniques (batching, caching, quantization), fine-tuning, prompt management, and model updates at scale. 
</li><li>Partner with data engineering, product, infrastructure, and genAI teams to align ML platform initiatives with broader company goals, infrastructure strategy, and innovation roadmap. 
</li><li>Contribute actively to internal documentation, onboarding, and training programs, promoting platform adoption and continuous improvement.</li></ul>
Requirements
Technical Experience<ul><li>
Strong software engineering background with experience in building distributed systems or platforms designed for machine learning and AI workloads. 
</li><li>Expert-level proficiency in Python and familiarity with ML frameworks (TensorFlow, PyTorch), infrastructure tooling (MLflow, Kubeflow, Ray), and popular APIs (Hugging Face, OpenAI, LangChain). 
</li><li>Experience implementing modern MLOps practices, including model lifecycle management, CI/CD, Docker, Kubernetes, model registries, and infrastructure-as-code tools (Terraform, Helm). 
</li><li>Demonstrated experience working with cloud infrastructure, ideally AWS or GCP, including Kubernetes clusters (GKE/EKS), serverless architectures, and managed ML services (e.g., Vertex AI, SageMaker). 
</li><li>Proven experience with generative AI technologies: transformers, embeddings, prompt engineering strategies, fine-tuning vs. prompt-tuning, vector databases, and retrieval-augmented generation (RAG) systems. 
</li><li>Experience designing and maintaining real-time inference pipelines, including integrations with feature stores, streaming data platforms (Kafka, Kinesis), and observability platforms. 
</li><li>Familiarity with SQL and data warehouse modeling; capable of managing complex data queries, joins, aggregations, and transformations. 
</li><li>Solid understanding of ML monitoring, including identifying model drift, decay, latency optimization, cost management, and scaling API-based genAI applications efficiently.</li></ul>
Qualifications<ul><li>
Bachelor&rsquo;s degree in Computer Science, Engineering, or a related field; advanced degree is a plus. 
</li><li>2+ years in a tech lead role, 5+ years of experience in ML platform engineering, ML infrastructure, generative AI, or closely related roles.</li><li>
Proven track record of successfully building and operating ML infrastructure at scale, ideally supporting generative AI use-cases and complex inference scenarios. 
</li><li>Strategic mindset with strong problem-solving skills and effective technical decision-making abilities. 
</li><li>Excellent communication and collaboration skills, comfortable working cross-functionally across diverse teams and stakeholders. 
</li><li>Strong sense of ownership, accountability, pragmatism, and proactive bias for action.</li></ul></div>

Staff Engineer - ML Platform

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