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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

UAE Nationals Only | Fresh Graduates Encouraged to Apply | Full-Time RoleA leading hospital in the UAE is expanding its Artificial Intelligence and Digital Innovation team and is looking for multiple Junior AI Engineers to join its technology initiatives.We are seeking UAE Nationals and fresh graduates who are passionate about Artificial Intelligence, Machine Learning, and building innovative solutions in the healthcare sector.Key Responsibilities Support the development and implementation of AI/ML solutions. Assist with data analysis, model development, testing, and optimization. Work with technology teams to deliver AI-driven applications and automation solutions. Research and apply emerging AI technologies to solve real-world challenges. Document technical solutions and project outcomes.Requirements UAE Nationals only. Bachelor’s degree in Artificial Intelligence, Computer Science, Data Science, Software Engineering, or related fields. Fresh graduates are encouraged to apply. Basic knowledge of AI/ML concepts and programming (Python preferred). Familiarity with AI frameworks, data analytics, or software development is an advantage. Strong analytical, problem-solving, and teamwork skills.BenefitsFull-time opportunity with a leading UAE healthcare organization.Exposure to real-world AI and digital transformation projects.Opportunity to grow alongside experienced technology professionals.Multiple positions available.If you are a UAE National graduate looking to begin your career in Artificial Intelligence and contribute to innovative healthcare solutions, we encourage you to apply.

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!

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.

About DataCampDataCamp's mission is to empower everyone with the data and AI skills essential for 21st-century success. By providing practical, engaging learning experiences, DataCamp equips learners and organizations of all sizes to harness the power of data and AI. As a trusted partner to over 17 million learners and 6,000+ companies, including 80% of the Fortune 1000, DataCamp is leading the charge in addressing the critical data and AI skills shortage.About the roleResearch has consistently shown that one-on-one tutoring dramatically outperforms traditional classroom instruction—a finding known as Bloom's 2 Sigma Problem. Despite decades of awareness, no solution has successfully delivered personalized tutoring at scale. Until now.We're building an AI Creator that turns learning into action—empowering users to instantly build, experiment, and solve real-world problems, transforming knowledge into tangible impact from day one.. You will work on the core AI system that delivers real-time, adaptive learning experiences to learners. If you're excited about building the future of human learning, this role is for you.About youAt DataCamp, we seek individuals who embody our core values of data-driven decision-making, action, transparency, ownership, and customer focus. You thrive in a fast-paced, high-performing environment and are driven by a passion for making a meaningful impact. You're adaptable, embracing change and ambiguity with enthusiasm. Your initiative and entrepreneurial spirit push you beyond just meeting targets—you aim to understand the "why" behind our goals and take ownership to drive the business forward. You're a collaborative team player who values transparency and always seeks to improve and innovate. If this sounds like you, we encourage you to apply!ResponsibilitiesBuild and evolve the core AI tutoring system, including prompt architectures, agentic workflows, and real-time adaptive behaviors.Run rigorous experimentation and evaluation, developing custom metrics and frameworks to measure learning effectiveness and improve model reliability.Design and implement scalable, maintainable software, integrating AI capabilities with platform systems, content pipelines, and user experience components.Collaborate cross-functionally with educators, content creators, and product teams to translate pedagogical goals into technical solutions.Prototype and productionize novel model interactions, leveraging emerging research and capabilities to advance the tutor's intelligence.Ensure quality, safety, and observability through monitoring, testing, guardrails, and iterative refinement of model behavior.Share knowledge and elevate teammates, contributing to a culture of clarity, simplicity, and continuous learning.QualificationsTechnical1+ years building complex LLM-based systems, with strong prompt engineering intuition and experience designing agentic workflows.Ability to design meaningful evaluation methods, including custom metrics and frameworks when off-the-shelf options fall short.Strong software engineering fundamentals, architectural thinking, and fluency in Python; comfortable working with production infrastructure, cloud environments, and CI/CD.Actively follows AI research and emerging capabilities, applying new ideas creatively to real problems.Product & PedagogyStrong empathy for learners and content creators; able to translate pedagogical goals into system behavior and product decisions.Ability to reason holistically across AI behavior, content structure, platform features, and user experience.Familiarity with learning science or a desire to develop expertise.Character & CollaborationDrawn to difficult, ambiguous problems with no clear blueprint; persistent in exploring and refining solutions.Preference for elegance and simplicity in system design.Communicates clearly across mediums and enjoys mentoring and collaborating in small, high-ownership teams.Why Datacamp? Joining DataCamp means becoming part of a dynamic, creative, and international start-up. Here are just a few of the reasons why you'll love being on our team:Exciting challenges: Face new technical challenges daily, keeping your work engaging and rewarding.Competitive compensation: We offer a competitive salary with attractive benefits.Flexibility: Benefit from flexible working hours because the future is flexible! Continuous learning: Access a yearly learning budget for conferences & training to support your professional growth.Global retreats: Participate in international company retreats, fostering a global team spirit.Equipment: Yearly refreshment of your IT Equipment budget for your home working setup.Amazing team: Collaborate with a truly exceptional team—seriously, we're awesome!

We're excited to be partnering with a leading institution in the UAE that is building a digital-first, AI-enabled financial services organization from the ground up. This is a unique opportunity to join at an early stage and help shape the technology, data, and AI foundations of a business with significant institutional backing and long-term ambition. If you're passionate about AI engineering, agentic systems, and building enterprise-scale AI platforms, we'd love to hear from you. As AI Engineering Lead, you will be responsible for building and operating the bank's enterprise AI platform, enabling AI agents, LLMs, and machine learning capabilities to operate safely, securely, and at scale. Working closely with Data Engineering, Enterprise Architecture, Information Security, Compliance, and Product teams, you will help establish one of the region's most ambitious AI-native banking platforms from day one. Responsibilities• Lead the design, build, and operation of the bank's AI platform, including model serving, registries, AI gateways, and MLOps/LLMOps capabilities. • Build and manage the platform supporting AI agents, orchestration services, tool integration, agent governance, and human-in-the-loop controls. • Establish evaluation frameworks, guardrails, monitoring, and testing processes for models and AI agents. • Deliver production-grade GenAI and RAG capabilities, including retrieval pipelines, vector databases, and LLM integrations. • Partner with Data Engineering and Governance teams to ensure trusted, compliant, and governed AI solutions. • Build, mentor, and lead a high-performing AI Engineering team while driving adoption of AI-native development practices. Requirements• 8+ years of experience in AI Engineering, Machine Learning Engineering, or MLOps, including leadership responsibility. • Production experience deploying machine learning models, LLMs, and agentic systems at scale. • Strong experience with MLOps/LLMOps platforms, model serving, model governance, and AI lifecycle management. • Experience building GenAI, RAG, vector database, and AI orchestration solutions. • Experience operating within banking, financial services, fintech, or another highly regulated environment. • Strong understanding of AI governance, explainability, monitoring, model risk, and responsible AI practices.Ready to join us? Apply today and take the next step in your career.