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We Are Hiring | AI Specialist (AI, Automation & Digital Transformation)Work Location: Dubai Investment Park (DIP) 2, Dubai, UAEWe are looking for a Full Stack Developer with strong AI, automation, functional, and technical knowledge to build and support our in-house software and digital transformation initiatives.The role will focus on understanding business processes, identifying manual work, developing software solutions, integrating departmental workflows, implementing AI, and continuously improving business operations.Key ResponsibilitiesDevelop and maintain in-house business applications.Understand departmental workflows and convert manual and Excel-based processes into software automation.Work with Joinery, MEP, Manufacturing, Projects, Procurement, Finance, HR, and other departments to identify automation opportunities.Develop AI-powered solutions for production planning, scheduling, reporting, estimation, material planning, quality analysis, and workflow optimization.Build dashboards, reports, and management information systems to support decision-making.Develop an in-house AI chatbot to help employees access information, interact with internal systems, and support business processes.Develop an internal task and work management system similar to Jira to assign, track, prioritize, monitor, and report departmental tasks and projects.Develop AI-assisted workflows for SOPs, documentation, reports, and operational records.Design and develop solutions with a clean, well-structured, and scalable architecture, always considering scalability, performance, efficiency, maintainability, and future business growth. Work directly with Department Heads, stakeholders, and the Assistant General Manager to understand business requirements.Implement AI, automation, APIs, and emerging technologies to improve business processes.Support employees in adopting AI tools and provide AI training and guidance where required.Continuously evaluate emerging technologies and implement solutions that provide measurable business value.Take ownership of development from requirement gathering, design, development, testing, deployment, and support.Server-related activities will be handled by the Headquarters IT & Intelligence Team. Ensure fast and efficient development and implementation, without compromising clean architecture, scalability, maintainability, or overall solution quality.Mandatory Technical Skills.NET / C#PythonSQLReact / Next.jsREST APIs & API IntegrationAI / LLM / AI API IntegrationRequirementsMinimum 2+ years of Full Stack Software Development experience.Strong Functional and Technical knowledge.Ability to understand business processes and independently develop practical software solutions.Strong interest in AI, automation, and emerging technologies.Ability to work with changing requirements and develop flexible solutions.Strong analytical and problem-solving skills.Ability to work independently while collaborating with the Headquarters IT & Intelligence Team.Willingness to learn, experiment, and introduce new technology ideas to the organization.This is an opportunity for someone who wants to go beyond traditional software development and contribute to building an integrated in-house technology ecosystem connecting business processes, people, tasks, data, and AI across the organization.

About the Role Explore data, engineer features, and build machine learning models for real business challenges. Design, run, and evaluate experiments to support products such as fraud detection, recommendation engines, ranking, and personalisation. Collaborate closely with ML engineers and backend developers to bring successful models into production. Present insights and findings to both technical and non-technical stakeholders. Contribute to a collaborative, data-driven environment focused on continuous learning and innovation.Requirements 0–2 years of experience in Data Science (internships, research projects, and academic work are welcomed). Strong Python skills with experience using pandas, NumPy, and scikit-learn. Solid understanding of machine learning, statistics, and experimental design. Good SQL skills. Strong analytical thinking and communication skills. Nice to have: Exposure to Spark, Databricks, recommendation systems, fraud detection, or SaaS/high-scale product environments.Benefits Competitive salary with annual performance bonus. Comprehensive medical insurance. Annual flight allowance. Visa sponsorship. Annual leave entitlement. Learning and conference budget to support your professional growth. Hybrid working model with flexibility. Opportunity to work alongside experienced engineers and data scientists on cutting-edge AI/ML products with a distributed team across Dubai and Europe.

AI Strategy and Vision Develop a comprehensive AI and data science strategy that aligns with the company's objectives and long-term vision. Identify and evaluate opportunities for integrating AI and data science into existing processes and operations to improve efficiency and decision making. Lead end-to-end project management of AI initiatives, from conception to deployment and post-implementation evaluation. Collaborate with cross-functional teams to define project scope, requirements, and deliverables. Data Analysis and Modeling Oversee the development of machine learning models and algorithms for various applications, such as predictive analytics, natural language processing, and computer visionEnsure data quality and integrity and implement best practices for data preprocessing and feature engineering and model evaluationEvaluate and select appropriate tools, technologies and frameworks for data analysis and modelingEstablish monitoring mechanisms to track project performance, identify areas for improvement, and report progress to stakeholdersCreate repeatable, interpretable, dynamic, and scalable models seamlessly incorporated into analytic data productsInnovation and Research Stay abreast of the latest developments and trends in AI and data science, exploring innovative solutions and emerging technologies that can benefit the organizationRegularly evaluate the performance of AI projects and data science initiatives and provide detailed reports to senior managementUse data-driven insights to propose improvements and optimizations to existing processesData PrivacyEnsure compliance with data privacy regulations and ethical guidelines throughout all data science activitiesImplement data protection measures and maintain confidentiality of sensitive informationIdentify potential risks and challenges associated with AI projects and data science initiatives RequirementsBachelor's or Master's Degree in Computer Sciences / Data Science/ AIStrong background in machine learning, statistical analysis, and data visualization

We offer flexibility in location for this role, enabling you to support our international customer base and contribute to our continued growth.At Datafusion.AI, we are revolutionizing voice and data capturing and processing for telecommunications and governmental agencies through innovative IP and Voice data stream processing and analytics. Our cutting-edge solutions shape the future of global communication, processing billions of data points daily and directly impacting government operations.We are seeking a talented and exceptional Artificial Intelligence/Machine Learning Engineer who wants to make a difference in the world, has a strong drive for continuous learning and development, is open and collaborative, and never stops striving to improve themselves and the products or services they are responsible for. You will be responsible for developing and optimizing advanced machine learning (ML) models across various domains, including natural language processing (NLP), computer vision, and speech processing. This role requires broad expertise in large language modelsKey ResponsibilitiesDesign, implement, and fine-tune Large Language Models (LLMs) for various NLP tasks, including text classification, entity extraction, sentiment analysis, and conversational AI applications.Develop and optimize diffusion models for generating synthetic data, augmenting data, and creating multimodal content to enhance training datasets.Build and maintain end-to-end machine learning pipelines for text processing, speech recognition, and multimodal data analysis.Implement state-of-the-art transformer architectures and attention mechanisms for various sequence modeling tasks across different data modalities.Research and integrate cutting-edge ML techniques, including few-shot learning, transfer learning, and multi-task learning approaches.Collaborate with engineering teams to deploy ML models in production environments, ensuring scalability and reliability.Develop custom training strategies, loss functions, and evaluation frameworks for domain-specific applications in telecommunications and government sectors.Optimize model performance, inference speed, and resource utilization for deployment across various hardware configurations.Conduct comprehensive model evaluation, A/B testing, and performance monitoring to ensure continuous improvement.Create technical documentation, research reports, and best practice guidelines for ML development processes.Mentor junior team members and contribute to the advancement of ML practices across the organization.Required QualificationsAdvanced degree in Computer Science, Machine Learning, Data Science, Mathematics, or a related field.4+ years of experience in machine learning engineering with a focus on deep learning and neural networks.Strong proficiency in Python and extensive experience with PyTorch, TensorFlow, and the HuggingFace ecosystem.Demonstrated expertise with Large Language Models including GPT, BERT, T5, LLaMA, and similar transformer-based architectures.Hands-on experience with diffusion models such as Stable Diffusion, DDPM, DDIM, or similar generative modeling techniques.Experience with ASR (Automatic Speech Recognition) systems and speech processing pipelines, including models like Whisper, Wav2Vec2, or similar technologies.Solid understanding of natural language processing techniques, including tokenization, embeddings, attention mechanisms, and sequence modeling.Experience with parameter-efficient fine-tuning methods, including LoRA, QLoRA, AdaLoRA, and other PEFT techniques.Knowledge of distributed training, model parallelism, and large-scale data processing frameworks.Familiarity with MLOps practices, model deployment, and production monitoring systems.Strong mathematical foundation in statistics, linear algebra, and optimization theory.Technical SkillsProgramming Languages: Expert-level Python; proficiency in C/C++, JavaScript, or Julia for performance optimization.Deep Learning Frameworks: Advanced experience with PyTorch, TensorFlow, JAX, and HuggingFace Transformers.LLM Technologies: Extensive knowledge of transformer architectures, attention mechanisms, tokenizers, and model scaling techniques.Generative Models: Hands-on experience with diffusion models, VAEs, GANs, and other generative modeling approaches.Fine-Tuning Techniques: Proficiency with LoRA, QLoRA, prefix tuning, prompt tuning, adapters, and instruction tuning methodologies.NLP Libraries: Experience with spaCy, NLTK, Gensim, sentence-transformers, and domain-specific NLP tools.Speech Processing: Familiarity with librosa, torchaudio, SpeechBrain, and audio processing pipelines.Model Optimization: Knowledge of quantization, pruning, distillation, ONNX, TensorRT, and inference optimization.Data Processing: Expertise in pandas, NumPy, Apache Spark, Dask, and distributed computing frameworks.MLOps Tools: Experience with Docker, Kubernetes, MLflow, Weights & Biases, Ray, and cloud ML platforms.Proficient in version control using Git, DVC, and collaborative ML development workflows.Preferred QualificationsExperience with multimodal learning combining text, audio, and visual data modalities.Knowledge of reinforcement learning from human feedback (RLHF) and constitutional AI approaches.Familiarity with federated learning and privacy-preserving machine learning techniques.Experience with real-time inference systems and streaming data processing.Understanding of model interpretability, explainable AI, and bias detection methodologies.Knowledge of graph neural networks and knowledge graph embedding techniques.Experience with AutoML frameworks and neural architecture search (NAS).Contributions to open-source ML projects or published research in top-tier conferences.Experience with edge deployment and mobile optimization for ML models.Understanding of cybersecurity applications and adversarial machine learning.Personal AttributesExceptional problem-solving skills and ability to approach complex ML challenges from first principles.Strong research mindset with the ability to stay current with the rapidly evolving ML/AI landscape.Excellent communication skills, both written and verbal, with the ability to explain complex concepts to diverse audiences.Self-driven and proactive, with a passion for pushing the boundaries of machine learning technology.Adaptable and open-minded, able to work effectively across different problem domains and data modalities.Collaborative team player with experience working in cross-functional environments.Strong attention to detail with commitment to reproducible and ethical AI practices.Additional InformationLanguage: Fluent oral and written English is mandatory.Good interpersonal skillsExcellent organizational skillsTeam player but able to work on own initiativeGood written and oral communication skillsEnthusiastic, self-starter and highly self-motivatedAppreciation of cultural differencesAttention to detailTravel: Occasional travel may be required for conferences, client meetings, or inter-office collaboration.We offer a very competitive package with excellent benefits and the opportunity to work on cutting-edgetechnologies that shape the future of telecommunications and data analytics. If you are a visionary technologist passionate about advancing the state-of-the-art in machine learning and making a global impact through innovative AI solutions, we want to hear from you!

I’m partnering with a fast-growing fintech to hire a Lead AI Engineer for a highly technical, hands-on leadership role.This isn’t a typical “AI Engineer” position. We’re looking for someone whose foundations are genuinely in AI/ML, data science and research — someone who understands the mathematics behind the models, can read cutting-edge research and turn it into working software, but who has also developed the engineering breadth to build and ship complete products.A PhD / significant academic research background in AI, Machine Learning, Computer Science or a closely related discipline is essential for this search.What you’ll be doingLead forward-looking AI/ML research and development from 0 → 1Build, train, validate and calibrate ML models — not simply integrate model APIsTurn new research papers and emerging techniques into working prototypes and production systemsWork across foundation models, agents, causal inference, real-time ML and streaming analyticsTake ideas from research through to production across models, data infrastructure, backend services and product interfacesSet the technical and architectural direction for ambitious AI initiativesRemain highly hands-on — coding, experimenting and prototypingHelp build and mentor a high-performing AI/engineering teamWhat we’re looking forPhD / strong research background — essentialDeep foundations in Machine Learning / Data Science / AI8+ years’ experience across AI, ML and engineering with evidence of having built and shipped real ML modelsStrong Python and modern ML frameworks such as PyTorch / TensorFlowExperience with distributed data technologies such as Spark, Kafka, Snowflake or DatabricksAbility to understand and implement ideas from academic AI/ML researchStrong engineering capability across production-grade systemsExperience taking AI/ML research from experimentation into scalable productsStrong product mindset — you care about how what you build is actually usedComfortable operating as a senior individual contributor, not simply managing from a distancePublished research, open-source AI contributions and experience within fintech would be particularly interesting.This is a rare opportunity for someone who wants to sit at the intersection of AI research, machine learning, engineering and product, with genuine ownership over what gets built.If your career started closer to models and research and expanded into engineering — rather than the other way around — I’d particularly like to hear from you.

AI Software EngineerLocation: Hybrid(UAE)Type: Full-TimeAbout the RoleWe are working with an innovative technology company looking for an AI Software Engineer to join a high-performing engineering team building next-generation AI-powered applications.This is an opportunity to work on complex LLM-based systems, designing intelligent workflows and developing production-ready AI solutions that solve challenging real-world problems. You'll collaborate with software engineers, product teams and domain experts to build scalable, reliable AI capabilities while staying at the forefront of emerging technologies.ResponsibilitiesDesign, build and enhance production-grade LLM-powered applications.Develop prompt architectures and agentic AI workflows.Build evaluation frameworks and define meaningful metrics to measure model performance and reliability.Design and implement scalable software solutions using Python and modern engineering best practices.Integrate AI capabilities into existing platforms, services and backend systems.Prototype, test and productionise new AI features and model interactions.Improve quality, safety and observability through monitoring, testing and guardrails.Collaborate closely with cross-functional teams to deliver high-quality technical solutions.Contribute to architecture discussions and share knowledge with the wider engineering team.Required Skills & ExperienceCommercial experience building complex LLM-based applications.Strong prompt engineering skills with experience designing agentic AI workflows.Experience creating evaluation frameworks, benchmarks and custom performance metrics for AI systems.Strong software engineering fundamentals with excellent Python development experience.Experience building scalable production systems.Familiarity with cloud platforms, CI/CD pipelines and modern software engineering practices.Passion for keeping up to date with the latest AI research and emerging technologies.Excellent problem-solving and communication skills.Comfortable working in a fast-paced, collaborative engineering environment.Desirable ExperienceExperience working on production AI platforms.Understanding of model monitoring, evaluation and observability.Knowledge of software architecture and distributed systems.Experience collaborating across engineering, product and technical teams.What's on OfferFully remote working across the UAE.Competitive salary and benefits package.Flexible working hours.Annual learning and development budget.Home office equipment allowance.Opportunity to work on cutting-edge AI technology.Collaborative, high-performing engineering culture.Long-term career growth within an innovative technology business.