Director of Artificial Intelligence & Data Analytics

Join Delivery Hero as a Senior Data Scientist specializing in Artificial Intelligence and Machine Learning. In this pivotal role, you will leverage advanced analytical skills to drive innovative solutions that enhance our delivery services. Collaborate with cross-functional teams to develop algorithms and models that improve operational efficiency and customer satisfaction.

Join Envision Employment Solutions as we seek a talented Senior Data Scientist for our esteemed partner, a global frontrunner in IT Services and Consulting.Position Overview:We are on the lookout for a highly knowledgeable Senior Data Scientist who will take charge of designing, constructing, and implementing cutting-edge machine learning and natural language processing (NLP) solutions, including applications based on large language models. The successful candidate will possess significant production experience, deep understanding of transformer architectures, and the capability to spearhead technical projects from inception through to deployment.Key Responsibilities:Machine Learning & NLP DevelopmentCraft and develop comprehensive machine learning models, with a strong emphasis on NLP applications.Fine-tune and deploy large language models, including GPT, BERT, and LLaMA, tailored for specific applications.Construct, train, and assess deep learning models utilizing frameworks like TensorFlow, PyTorch, or Keras.Implement Retrieval-Augmented Generation (RAG) and embedding-based semantic search solutions.Enhance and optimize transformer-based models for tasks such as summarization, Q&A, and document intelligence.Assess and refine prompt engineering strategies for improved context efficiency.Data Engineering & PipelinesDevelop robust data pipelines utilizing tools such as Airflow, Spark, or Dataiku.Engage in data wrangling and preprocessing using libraries like pandas and NumPy.Design and oversee feature stores.Integrate and manage vector databases such as Pinecone, FAISS, or Chroma.Model Deployment & ProductionEstablish and maintain RESTful APIs for deploying ML models in production environments.Implement scalable AI services and manage continuous integration/continuous deployment (CI/CD) pipelines.Monitor model performance, including drift detection and lifecycle management.Conduct A/B testing, ensemble blending, and utilize explainability techniques such as SHAP and LIME.Statistical & Analytical ExpertiseUtilize advanced statistics, probability theory, and experimental design.Conduct hypothesis testing and data-driven analyses to inform business decisions.Collaboration & IntegrationCollaborate effectively with product and engineering teams to integrate AI solutions into production systems.Work alongside cross-functional stakeholders to deliver scalable AI capabilities.Requirements:Qualifications:Bachelor’s or Master’s degree in Data Science, Artificial Intelligence, Computer Science, or a related field.At least 4 years of experience in machine learning and data science roles.Demonstrated history of delivering production-grade ML and NLP projects.Experience in leading small data science teams or technical projects.

Modeling Expertise:Proven experience in designing and implementing propensity models focused on cross-selling and upselling opportunities.In-depth knowledge of Next Best Action / Next Best Offer systems.Solid understanding of supervised learning methodologies, uplift modeling, and causal inference techniques.Programming & Engineering:Proficient in Python (required); knowledge of R or Scala is advantageous.Experience with distributed computing frameworks such as Spark, Dask, or Ray.Skilled in developing production-level ML pipelines using tools like Airflow, MLflow, or Kubeflow.Strong familiarity with software engineering best practices including version control, CI/CD, and thorough testing.Data Infrastructure:Experience with cloud platforms (AWS/GCP/Azure) and data warehouses (Snowflake, BigQuery, Redshift).Excellent SQL skills; adept at optimizing queries and handling large datasets.MLOps & Deployment:Proven ability to deploy models to production using APIs or streaming technologies (Kafka, Flink).Experienced in model versioning, experiment management, and deployment practices with MLflow, SageMaker, or Vertex AI.Monitoring & Observability:Capable of establishing model monitoring, drift detection, and alerting systems utilizing Prometheus, Grafana, Evidently, or custom dashboards.Familiarity with logging frameworks and performance profiling for ML services.GenAI (Preferred):Experience with Large Language Models, embeddings, prompt engineering, and vector databases (e.g., FAISS, Pinecone).Ability to incorporate GenAI into decision-making systems or customer-facing applications.Leadership & Collaboration:Proven leadership skills to guide senior data scientists while maintaining a hands-on approach.Adept at collaborating with product managers, engineers, and business stakeholders.

Dataiku is at the forefront of AI innovation, providing an enterprise orchestration layer that simplifies the creation, deployment, and governance of AI solutions. Our platform empowers teams to design and operate analytics, machine learning, and AI agents within a collaborative environment that emphasizes transparency and control. By integrating seamlessly with various data platforms, cloud infrastructures, and AI services, Dataiku enables organizations to implement AI strategies effectively across diverse vendor environments with centralized governance.Renowned companies across the globe depend on Dataiku to transform AI into a genuine driver of business performance, delivering measurable outcomes. For further insights, visit the Dataiku blog, LinkedIn, X, and YouTube.As a Senior Data Scientist at Dataiku, you will play a pivotal role in addressing real-world challenges by developing innovative solutions while also engaging directly with clients throughout their journey. Your responsibilities will encompass assisting clients in exploring the Dataiku platform, integrating it with other technologies, delivering user training, and collaboratively developing data science projects from inception to deployment.In this position, both technical and interpersonal skills are essential. You will leverage the Dataiku platform daily, utilizing primarily Python and SQL, with opportunities to work in other languages such as R, PySpark, and JavaScript. The ideal candidate will possess a passion for mastering complex technologies and modeling techniques and will be adept at articulating their work to both fellow data scientists and clients.Your contributions will include:Co-developing production-level data science projects in partnership with our clients.Analyzing diverse datasets and exploring machine learning applications across various industries and use cases.Facilitating user training sessions and providing ongoing consultative support to help users maximize their use of the Dataiku platform.Offering data science expertise to both customers and internal teams, including sales and marketing.

Join Careem as a Staff Data Scientist I specializing in matching algorithms. In this role, you will leverage your expertise to enhance our platform's capabilities, driving innovation and maintaining our competitive edge in the market.

Role Overview Delivery Hero is hiring a Staff Data Scientist focused on Artificial Intelligence (AI) and Machine Learning (ML) in Dubai. This senior position plays a key role in advancing how the company uses data to make decisions and improve services. What You Will Do Work with teams across the business to design and build advanced algorithms and models. Apply AI and ML techniques to solve real problems and improve customer experiences. Help guide the direction of data science projects that influence the future of Delivery Hero’s offerings. Location This role is based in Dubai.

Envision Employment Solutions is actively seeking a Lead Data Scientist for our esteemed partner, a prominent player in the IT Services and IT Consulting sector.Job Overview:We are in search of a forward-thinking AI leader who will spearhead our enterprise-scale AI initiatives, including strategy formulation, architecture design, and successful project execution. This pivotal role necessitates profound knowledge of large language models (LLMs), AI governance, and robust machine learning platforms, along with exceptional leadership and communication skills that resonate with executive stakeholders.The ideal candidate will possess a wealth of experience in constructing and scaling enterprise AI ecosystems while managing interdisciplinary teams in multifaceted environments.Key Responsibilities:Strategic AI LeadershipEstablish and execute AI roadmaps that are in harmony with corporate objectives.Oversee the comprehensive model lifecycle, from research and experimentation through to production deployment.Ensure that AI projects deliver quantifiable ROI and tangible business benefits.LLM & NLP Architecture (Enterprise Level)Architect LLM ecosystems, including RAG pipelines, orchestration layers, and fine-tuning methodologies.Guide domain-specific model fine-tuning and pretraining utilizing proprietary datasets.Integrate state-of-the-art platforms such as Azure OpenAI, AWS Bedrock, Anthropic Claude, and Google Vertex AI.Define governance, compliance, and security frameworks for LLM implementations.Establish evaluation criteria for hallucination rates, factual accuracy, bias, and toxicity.Infrastructure & GovernanceDevelop and manage data governance policies and feature store strategies.Lead frameworks for model observability, monitoring, and drift management.Collaborate with DevOps and Security teams to guarantee scalability, resilience, and compliance.Team & Stakeholder LeadershipAssemble and mentor multidisciplinary AI teams, including Data Scientists, ML Engineers, and Data Engineers.Provide mentorship to senior scientists and establish research best practices.Engage directly with executive leadership and non-technical stakeholders.Assess AI vendors and explore technology partnerships.Qualifications:Master’s or PhD in AI, Machine Learning, Computer Engineering, Applied Mathematics, or a related field.A minimum of 7 years of overall professional experience.At least 2 years in AI/ML leadership positions.Demonstrated capability to build and scale enterprise-level AI/LLM platforms.Leadership Competencies:Innovative mindset that propels enterprise-wide transformation.Exceptional executive communication and influence skills.Focused on delivering measurable ROI, scalability, and ethical AI practices.

Job Title: Lead Data Scientist / Expert in Data Insights.Roles and Responsibilities:Demonstrated proficiency in Business Intelligence tools, particularly Tableau and MicroStrategy, ensuring a continuous flow of actionable data.Strong understanding of the transformative impact of data analytics on business operations, highlighting its advantages.Innovate by developing decision analytics solutions utilizing advanced methodologies and techniques.Design user-friendly processes and reporting models that empower business units to access and manage their data in real-time.Oversee engagement methodologies to ensure compliance, mitigate risks, and maintain the highest quality standards, collaborating with teams to implement necessary adjustments.

We are looking for a talented and experienced Senior Data Engineer to join our dynamic Data Engineering team in Dubai. The successful candidate will play a pivotal role in designing, constructing, and enhancing scalable data pipelines, while also facilitating advanced analytics and machine learning applications. This position demands a deep understanding of big data technologies, data processing frameworks, and feature engineering to effectively support machine learning models in a live production setting.Key ResponsibilitiesCollect and assess business and technical requirements for effective data solutions.Conduct Exploratory Data Analysis (EDA) to reveal data patterns and assess data quality.Design, develop, and maintain high-performance, scalable data pipelines.Ingest both structured and unstructured data from various sources.Transform and process extensive datasets using PySpark and Python.Apply feature engineering techniques to enhance machine learning models.Optimize Spark jobs for peak performance and cost efficiency.Ensure the quality, integrity, and security of data across all pipelines.Collaborate closely with Data Scientists, Analytics Teams, and Delivery Leads.Participate in an Agile environment alongside cross-functional teams.Effectively communicate with stakeholders, providing valuable technical insights.Utilize Git for version control and manage CI/CD workflows.Required Skills & ExpertiseProven experience in Python and PySpark.In-depth knowledge of Apache Spark (performance tuning and optimization).Comprehensive understanding of the Hadoop ecosystem.Advanced skills in SQL.Experience in building end-to-end data and ML pipelines.Strong grasp of data modeling and warehousing concepts.Experience with feature engineering for ML applications.Familiarity with Git and version control systems.Exposure to cloud platforms (AWS/Azure/GCP) is advantageous.QualificationsBachelor’s or Master’s degree in Computer Science, Engineering, or a related field.8–10+ years of experience in Data Engineering / Big Data.Experience in the banking or financial services sector is preferred.Soft SkillsExceptional problem-solving and analytical skills.Strong communication and stakeholder management abilities.Capability to work both independently and collaboratively within a team.Adaptability to fast-paced Agile workflows.

flatgigs is hiring a Senior Machine Learning DevOps Engineer & IT Support specialist for its Dubai office. This onsite position focuses on building, securing, and maintaining the core systems that power our AI infrastructure. Role Overview This role combines MLOps, cloud networking, and IT service management. The position covers both hardware and software frameworks supporting machine learning workloads. Reliable support for production GPU environments and internal connectivity is essential to keep our team productive. Main Responsibilities Manage and scale multi-cluster GPU environments and high-compute AI workloads. Provide hands-on IT support, including user access, device management, and internal systems. Design and maintain secure cloud network architectures on Azure and GCP. Support MLOps pipelines and help deploy machine learning models. Administer internal IT infrastructure, including identity and access management (IAM), single sign-on (SSO), and mobile device management (MDM). Set up monitoring and alerting for GPU health, system performance, and security. Apply cloud security best practices across infrastructure and endpoints. Troubleshoot and resolve system, deployment, and connectivity issues. Work closely with AI engineers to optimize infrastructure for machine learning tasks. Location This is a full-time, onsite role based in Dubai, United Arab Emirates.

Join Careem as a Senior Data Scientist II, specializing in supply chain analytics. In this role, you will leverage advanced data science techniques to drive decision-making and optimize operations across our supply chain network.Your responsibilities will include analyzing complex datasets, developing predictive models, and collaborating with cross-functional teams to implement data-driven solutions that enhance efficiency and reduce costs.

Join Careem as a Staff Data Scientist I in our dynamic ETA (Expected Time of Arrival) team, where you will leverage data science techniques to enhance our services. You will work with cross-functional teams to solve complex challenges, drive insights from data, and contribute to product development.

Join our dynamic team as a Data Scientist | Quantitative Analyst at connecthum, a rapidly expanding trading firm dedicated to enhancing its research and analytical capabilities.About connecthum:Experience a quant-driven trading environment.Engage in fast decision-making cycles that have a measurable impact on P&L.Be part of a data-first culture.Help scale research throughput to expedite strategy development.In this pivotal role, you will bridge the gap between trading, data science, and strategic decision-making.Your Contributions:Establish yourself as the primary expert in trading-related analytics and dashboards.Take ownership of and enhance strategy rebalance frameworks.Conduct hypothesis testing and backtesting on trading strategies.Assess and optimize existing trading strategies.Enhance access to clean, structured, and actionable data.Develop reporting pipelines and insightful dashboards.You will gain direct visibility into trading performance and the strategic impact of your work.Technical Environment Overview:Utilize Python for production-grade analytical workflows.Engage in large-scale SQL querying and work with analytical databases.Employ data visualization and dashboard tools.Implement statistical modeling and hypothesis validation techniques.Perform time-series analysis.Your Strengths:Proficient in Python with the ability to write clean, reproducible analytical code.Confident in handling large datasets using SQL.Strong grasp of statistics and probability principles.Experience in data visualization and reporting.Demonstrates an independent and self-motivated mindset.Excellent communicator — able to translate complex data into actionable decisions.Fluent in English.Willingness to relocate to Dubai.Preferred Qualifications:Background in trading or financial domains is a plus.

AECOM is seeking a Graduate Data Scientist to join its Dubai office. This position is open exclusively to Emirati nationals. The role centers on supporting client projects that involve technology and analytics, working as part of a team of experienced data professionals. Key responsibilities Assist with data-driven projects, contributing from the initial analysis through to final delivery Collaborate with senior team members to help develop tailored solutions for clients Build practical skills in data science and analytics while working on real-world assignments Who can apply This role is open to Emirati nationals who are interested in starting a career in data science and analytics.

Join our innovative team at mexdigital as an AI Data Engineer. In this role, you will be instrumental in shaping our data-driven solutions, leveraging cutting-edge AI technologies to enhance business processes and deliver impactful insights. Collaborate with cross-functional teams to design, implement, and maintain scalable data pipelines and machine learning models that drive our projects forward.

About KAYALIKAYALI, founded in 2018 by renowned beauty entrepreneur Mona Kattan, embodies the essence of modern fragrance culture. The name 'KAYALI' translates to 'my imagination' in Arabic, reflecting our commitment to crafting unique scent experiences inspired by Mona’s rich Middle Eastern heritage. Each fragrance is a luxurious journey, meticulously blended with the finest ingredients and crafted by celebrated perfumers, allowing you to express your mood and share the ritual of scent with others. Our VisionAt KAYALI, we aspire to empower individuals to embrace their unique beauty through the transformative power of scent. Our mission is to foster a global community of fragrance enthusiasts by offering innovative, luxurious fragrances and sharing the cherished Middle Eastern traditions of scent. Role OverviewWe are excited to introduce a new opportunity for a Business Intelligence Engineer who will leverage data warehousing expertise across platforms such as Azure Data Bricks and Power BI. This role is integral to supporting, implementing, and maintaining data warehouse pipelines and reporting systems that enhance business processes. Key Responsibilities:Data Platform & ArchitectureOversee a scalable modern data platform utilizing the Azure ecosystem, including Azure Databricks, Azure Synapse Analytics, Azure Data Factory, and Azure Data Lake Storage.Design and implement Lakehouse architecture employing Medallion patterns (Bronze, Silver, Gold) paired with Delta Lake to ensure data integrity, scalability, and high performance.Utilize advanced data modeling techniques (dimensional modeling, star/snowflake schemas) to support both operational and analytical requirements.Data Engineering & PipelinesDevelop and maintain high-performance data pipelines using cloud-native technologies (Databricks, PySpark, Lakehouse Workflows) for the ingestion, transformation, and curation of large datasets.Identify and resolve intricate data discrepancies within multi-stage ETL/ELT pipelines, focusing on root cause analysis and data optimization.Create and refine comprehensive data integration frameworks, including data ingestion from various sources such as relational databases, flat files, and third-party REST APIs.Troubleshoot complex data pipeline issues, performance bottlenecks, and data inconsistencies.

Learning Strategist, Enterprise Learning Operations | Onsite UAEThe OpportunityWe are excited to announce an opening for a Learning Strategist within our dynamic Enterprise Learning Operations team in Dubai. This position is crucial in driving the design and development of innovative learning solutions tailored for a large-scale enterprise environment. You will engage in in-depth discovery processes, apply strong instructional design principles, and uphold the highest standards of quality and coherence across all learning initiatives.The Learning Strategist is pivotal in determining how learning experiences are crafted, ensuring alignment with real business objectives while focusing on the learner's needs. This hands-on role is perfect for someone who thrives on inquiry, challenges existing assumptions, and excels at simplifying complex concepts into impactful learning experiences.In this role, you will actively engage with stakeholders, conduct discovery sessions, and work both onsite and in a hybrid capacity within the UAE.What You Will OwnDiscovery and Learning RequirementsLead comprehensive discovery initiatives to identify learning needs, performance gaps, and organizational context.Conduct thorough needs assessments through engaging conversations, observations, and data analysis.Transform business and performance requirements into precise learning objectives and design specifications.Develop detailed design briefs and documentation to guide the design and development teams effectively.Instructional Design Across ModalitiesCreate high-quality learning experiences across various modalities, including instructor-led, virtual, digital, and on-the-job training.Consistently apply best practices in instructional design and adult learning theories.Design engaging, learner-centered experiences that enhance retention and practical application.Establish evaluation approaches to assess learning outcomes and skill acquisition.Develop structured learning pathways that promote ongoing capability enhancement.Learning Brand and Design ConsistencyEnsure all learning solutions reflect and reinforce a cohesive enterprise learning identity.Maintain uniformity in tone, structure, and design methodology across all solutions.Question and challenge design or content decisions that compromise quality or consistency.Collaborate with stakeholders to ensure alignment on design expectations and standards.Working with Subject Matter ExpertsWork closely with subject matter experts to extract and distill critical knowledge.Challenge overly technical or dense content to ensure learning remains accessible and actionable.Facilitate collaborative sessions that convert expertise into clear, user-friendly learning content.

About SFORS SFORS stands out in the global financial markets for its proprietary trading and leadership in pre-market activity. With more than 20 years in the stock market, the firm’s track record is built on talent development, advanced trading technology, strong risk management, and innovative strategies. SFORS operates solely with proprietary funds, focusing on internal growth and long-term sustainability. Role Overview: Data Analyst The Data Analyst will turn complex data into clear, actionable insights that shape business strategy. This role partners with stakeholders to define key performance indicators, build accessible dashboards, and deliver analysis that drives strategic decisions. The analyst helps connect detailed data sets with business needs, ensuring data stories are both accurate and engaging. Main Responsibilities Analyze data to spot trends, anomalies, and areas for growth. Design and maintain automated Business Intelligence dashboards that provide real-time KPI insights. Translate business questions into technical requirements and present findings to non-technical stakeholders. Work with the Data Engineering team to validate data quality and support data model verification. Location This position is based in Dubai, United Arab Emirates.

Learning Operations Manager for Enterprise Learning | Onsite in UAEAbout the RoleWe are seeking a dynamic and driven Learning Operations Manager to spearhead the daily operations of a comprehensive enterprise learning program across various locations in the UAE. This pivotal role ensures the smooth execution of scheduling, administration, contractor management, and communication, fostering a seamless learning experience.In this hands-on leadership position, you will oversee a distributed operations function responsible for high-volume training activities, ensuring service quality, operational efficiency, and adherence to client standards. The ideal candidate thrives in fast-paced, complex environments and excels at establishing structure and clarity to large-scale operations.Your Key ResponsibilitiesOperational LeadershipDirect the end-to-end learning operations across multiple sites, guaranteeing consistent and high-quality administrative support.Develop and uphold operational standards, processes, and service level expectations.Implement continuous improvement initiatives to enhance efficiency and scalability.Multi-Site Scheduling & CoordinationManage training schedules across Jebel Ali, Al Taweelah, and other locations.Balance capacity, learner demand, and operational limitations across sites.Resolve scheduling conflicts promptly and adjust to changing priorities effectively.Contractor & Vendor CoordinationOversee contractor support for administrative and operational activities.Manage onboarding, performance evaluation, and service delivery of contractors.Ensure contractors meet quality and compliance requirements.Communication & Mailbox ManagementHandle triage and response processes for communications channels related to learning operations.Provide timely, clear, and professional responses to learners and stakeholders.Monitor communication volume, response times, and escalation pathways.Compliance & Quality AssuranceEnsure all administrative processes comply with client policies and standards.Maintain thorough documentation, audit trails, and operational records.Support audit activities and implement corrective actions as necessary.Team LeadershipLead and develop a dedicated team of Training Coordinators and administrative personnel.Set clear expectations, provide coaching, and drive team performance.Foster a service-oriented, accountable team culture.