project engineer

software developer

software engineer

senior software engineer

junior software developer

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
 
 
 
 <ul>
 <li>
 Own the backend platform architecture, infrastructure, and foundational services
 </li>
 <li>
 Drive the evolution of our platform to support scale, performance, and reliability
 </li>
 <li>
 Build a real-time digital twin of renewable generation and customer demand
 </li>
 <li>
 Design and manage high-volume data pipelines for energy consumption and system telemetry
 </li>
 <li>
 Lead the development of integration layers and messaging interfaces with third-party services
 </li>
 <li>
 Establish engineering best practices for observability, CI/CD, testing, and scalability
 </li>
 <li>
 Partner closely with product and backend teams to support rapid development cycles
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Proven track record as a senior software engineer or tech lead, ideally with platform/backend focus
 </li>
 <li>
 5+ years experience in software engineering, with 2+ years in a leadership role
 </li>
 <li>
 Experience building and operating production-grade systems at scale
 </li>
 <li>
 Strong understanding of system design, distributed computing, and cloud infrastructure
 </li>
 <li>
 Clear and proactive communication, with the ability to align cross-functional teams
 </li>
 <li>
 Hands-on approach to solving problems and making strategic decisions
 
 
 </li>
 </ul>
 
 Bonus
 
 
 
 <ul>
 <li>
 Experience with Infrastructure as Code (e.g., AWS CDK, Terraform)
 </li>
 <li>
 Experience with event-driven architecture, messaging queues, or stream processing
 </li>
 <li>
 Familiarity with building internal platforms or developer tooling
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Competitive salary and a stock options sign-on bonus
 </li>
 <li>
 Biannual bonus scheme
 </li>
 <li>
 Fully expensed tech to match your needs!
 </li>
 <li>
 Paid annual leave
 </li>
 <li>
 Breakfast and dinner for office based employees
 </li>
 </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

Client of Orbis Group

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>
The organization offers significant equity, unlimited PTO, full medical/dental/vision, and many other perks.
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

talabat

ROLE SUMMARY
<ul>
<li>Participate in continuous discovery of your customer/business needs/desires/problems to drive desired outcomes</li>
<li>Design, write and release software as a solution to an end-to-end problem in your business domain and deliver value in small batches in accordance with our engineering standards</li>
<li>Understand scalability &amp; complexity of your services and own &amp; innovate the entire SDLC</li>
<li>Mentor and inspire other engineers and continually optimize your team s practices to develop it into a self organized, continuously improving unit</li>
<li>Critically question and simplify our tech org systems/processes and solutions</li>
</ul>
Note:
On top of very good technical skills, this role requires someone willing to assume end-to-end ownership of a specific area/initiative and thrives on emphasizing with their user pains/desires/needs. You are keen to explore alternative ways of working that optimize for co-creation and continuous improvement.

Software Engineer II - Flutter

Qube Research & Technologies

Your future role within QRT: 
As a Quantitative Developer, you'll work in a close-knit global team of Multi-Asset Quant Developers and Researchers. Working directly with Researchers and Portfolio Managers, you'll enhance our research platform to meet the needs of a constantly evolving environment. You will have a large impact on the success of the team by recommending innovative software solutions - solving problems by building new tools and systems.
 Responsibilities 
<ul>
<li>Automate and streamline data preparation and cleaning</li>
<li>Build and support new quantitative trading framework</li>
<li>Industrialize trading strategies developed by quant researchers</li>
<li>Drive "best practice" amongst the researchers and portfolio managers</li>
<li>Continually expand and upgrade the team s software platform to accommodate the changing business needs</li>
</ul>
 Your present skillset: 
<ul>
<li>3-8 years of experience as a software engineer</li>
<li>Python language experience is a must</li>
<li>Ability to multitask, set project priorities and work in a team</li>
<li>Strong communication skills is a must</li>
<li>Ability to work in a fast-paced environment</li>
<li>Very high standards in code quality and good development practices</li>
<li>Experience in finance and/or machine learning would be beneficial</li>
</ul>

Quantitative Developer - Python

Explore 3956+ Platform software engineer in Dubai this October. Find roles across top companies and apply now to boost your career.