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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

Fuse Energy

<div>
 At Fuse, we're building a fully integrated energy company, from developing solar, wind, and hydrogen to power trading &amp; distributed energy installations. We sell directly to energy consumers, cutting out the middleman to reduce costs and pass on savings to customers.
 
 
 But we're not stopping there.
 
 
 We're also building the Energy Network: a decentralized network of smart devices where users get rewarded in Energy Dollars for electrifying their homes, shifting usage to off-peak hours, and helping balance the grid. The energy network helps the grid achieve energy stability, a crucial requirement for growth of AI data centers and energy intensive industries.
 
 
 We've raised $90M from top-tier investors including Multicoin, Balderton, Lakestar, Accel, Creandum, Lowercarbon, Ribbit, Box Group, and strategic angels like Nico Rosberg, co-founder of Solana, and GPs behind Meta, Revolut, Spotify, Uber, and more.
 
 
 
 Role Overview
 
 
 
 As the Head of Engineering (Platform) at Fuse Energy, you will lead the development of our core backend systems and platform infrastructure, forming the technical foundation that powers all our products and services. You will own the architecture and scalability of the platform, ensuring we build robust, high-performance systems that enable rapid product iteration and exceptional customer experiences.
 
 
 
 What You'll Do
 
 
 
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 Own the backend platform architecture, infrastructure, and foundational services
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 Drive the evolution of our platform to support scale, performance, and reliability
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 Build a real-time digital twin of renewable generation and customer demand
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 Design and manage high-volume data pipelines for energy consumption and system telemetry
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 Lead the development of integration layers and messaging interfaces with third-party services
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 Establish engineering best practices for observability, CI/CD, testing, and scalability
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 Partner closely with product and backend teams to support rapid development cycles
 
 
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 </ul>
 
 Requirements
 
 
 
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 Proven track record as a senior software engineer or tech lead, ideally with platform/backend focus
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 5+ years experience in software engineering, with 2+ years in a leadership role
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 Experience building and operating production-grade systems at scale
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 Strong understanding of system design, distributed computing, and cloud infrastructure
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 Clear and proactive communication, with the ability to align cross-functional teams
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 Hands-on approach to solving problems and making strategic decisions
 
 
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 </ul>
 
 Bonus
 
 
 
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 Experience with Infrastructure as Code (e.g., AWS CDK, Terraform)
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 Experience with event-driven architecture, messaging queues, or stream processing
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 Familiarity with building internal platforms or developer tooling
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
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 Competitive salary and a stock options sign-on bonus
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 Biannual bonus scheme
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 Fully expensed tech to match your needs!
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 Paid annual leave
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 Breakfast and dinner for office based employees
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 </ul>
</div>

Head of Engineering (Platform)

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

ML Platform Engineer Generative AI & Machine Learning Infrastructure

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

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>
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FX Client Onboarding: Full management of the institutional client onboarding lifecycle, including setup and configuration of:</li>
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Direct FIX connections.</li>
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Connectors for MT4/MT5 Bridges.</li>
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Giveup (Dropcopy) connections for reporting and trade replication.</li>
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Liquidity Hub Operations: Daily monitoring, maintenance, and assurance of optimal functioning for Liquidity Hubs.</li>
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Reconciliation &amp; Compliance: Conducting critical Reconciliation of the Coverage Account against the Margin Account within the Hubs to mitigate operational risks.</li>
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Incident Management: Rapid identification and resolution of issues related to FIX Protocol, Network Latency, and APIs, including troubleshooting and escalation during emergencies.</li>
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Reporting &amp; Data Analysis: Generation of comprehensive Volume Reports and custom reports (Custom reports) for financial control and risk analysis.</li>
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Process Ownership: Full handling of Compensation cases from initial analysis to final settlement (A to Z).</li>
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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>
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Liquidity Hubs (Mandatory) &ndash; OneZero, PrimeXM, Centroid, FXCubic</li>
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Connectivity Protocols &ndash; FIX Protocol (Expert Level), REST API, RabbitMQ (or Kafka).</li>
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Databases &ndash; MySQL (for complex queries, reporting, and Reconciliation tasks).</li>
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Diagnostics &ndash; Network troubleshooting (traceroute, telnet, TCP/IP), Monitoring Latency.</li>
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Trading Systems &ndash; MT4/MT5 (Connector / Bridge Technology).
</li><li>English &ndash; B2</li>
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Experience in the fintech sector &ndash; must have</li>
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Meta trader knowledge &ndash; preferably</li>
</ul>
Benefits:<ul>
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Competitive salary based on knowledge and experience.</li>
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24 days of annual leave (as per group policy).</li>
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Fully remote.</li>
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Support for continuing education, blockchain certifications, and regulatory training (after one year with the company).</li></ul></div>

Platform Engineer/ FX Liquidity Platform Engineer

Client of Orbis Group

As a hands on engineering leader, you d be responsible for building products 0-1 from idea through to production.
Staff Software Engineer Responsibilities
<ul>
<li>Build high-quality, production-ready code for enterprise customers tackling complex AI problems</li>
<li>Lead the design and building of AI-driven systems with emerging technologies</li>
<li>Work in a tight-knit collaborative squad, interfacing closely with the customer to craft elegant solutions</li>
</ul>
Staff Software Engineer Requirements
<ul>
<li>5+ years of experience as an engineer ideally with exposure to various technologies such as Python, Java, Typescript, React etc.</li>
<li>Compsci background strong data structures and algorithms</li>
<li>Experience working in a high performing engineering culture or founding experience</li>
<li>Some experience or interest with AI LLMs, RAG etc.</li>
</ul>
If you d like to work with an extremely talented team of engineers as they solve fascinating problems, at scale, using various tools, please do not hesitate to apply!

Staff Software Engineer Gen AI

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