project engineer

electrical engineer

mechanical engineer

civil engineer

site engineer

intelligence engineer

Tata Consultancy Services

<div>
 
 
 Job Title
 
 &ndash; AI Engineer
 
 
 
 Company
 
 &ndash; TCS (MEA)
 
 
 
 Location
 
 &ndash; Dubai
 
 
 
 Job type
 
 &ndash; Full time
 
 
 
 
 
 
 About Us:
 
 
 
 Tata Consultancy Services (TCS) is an IT services, consulting and business solutions organization that has been partnering with many of the world&rsquo;s largest businesses in their transformation journeys for over 50 years. TCS offers a consulting-led, cognitive powered, integrated portfolio of business, technology and engineering services and solutions. This is delivered through its unique Location Independent Agile&trade; delivery model, recognized as a benchmark of excellence in software development.
 
 
 A part of the Tata group, India's largest multinational business group, TCS has over 616,171 of the world&rsquo;s best-trained consultants with 157 nationalities in 53 countries. For more information, visit www.tcs.com and follow TCS news at @TCS_News.
 
 
 
 
 
 
 
 Job Description:
 
 
 
 
 
 
 
 
 Key Accountabilities:
 
 
 <ul>
 <li>
 
 AI Solution Design &amp; Development:
 
 </li>
 <li>
 Design, build, and deploy AI-powered applications using Azure AI Services, including Azure OpenAI Service, Azure Machine Learning, Azure Cognitive Services (Speech, Vision, Language), Azure AI Search, Azure Functions, and Azure Databricks.
 </li>
 <li>
 
 LLM Integration &amp; Generative AI:
 
 </li>
 <li>
 Develop and integrate Large Language Model (LLM) solutions using Azure OpenAI endpoints (GPT-4.1, GPT-4o, GPT-4o-mini) routed through FAB's centralized AI Hub gateway for governance, observability, and capacity management. Build enterprise use cases such as knowledge search, document intelligence, content summarization, call analytics, sentiment analysis, and workflow automation.
 </li>
 <li>
 
 Python Engineering &amp; Backend Development:
 
 </li>
 <li>
 Write clean, modular, and production-grade Python code for AI/ML model development, API integrations, data processing pipelines, backend services, and automation workflows using frameworks such as LangChain, LlamaIndex, Semantic Kernel, LangGraph, and FastAPI.
 </li>
 <li>
 
 RAG &amp; Semantic Retrieval:
 
 </li>
 <li>
 Implement Retrieval-Augmented Generation (RAG) pipelines, embeddings, vector search, semantic retrieval architectures, prompt engineering, and evaluation techniques for enterprise knowledge mining and document intelligence.
 </li>
 <li>
 
 Agentic AI Development:
 
 </li>
 <li>
 Design and develop intelligent agentic AI systems capable of planning, reasoning, tool execution, and orchestration across enterprise systems using FAB's GERNAS OS platform and Agent Development Kit (ADK) in a secure and governed manner.
 </li>
 <li>
 
 Model Evaluation &amp; Responsible AI:
 
 </li>
 <li>
 Implement model evaluation metrics for accuracy, hallucination detection, bias, latency, and throughput in alignment with FAB's Responsible AI framework. Ensure AI solutions comply with FAB's security, data privacy, model governance, and regulatory requirements, including controls for accuracy, hallucination, bias, latency, and resilience.
 </li>
 <li>
 
 Deployment &amp; Production Operations:
 
 </li>
 <li>
 Deploy, monitor, and optimize AI solutions in production environments using CI/CD practices, containerization, observability, logging, performance monitoring, and cost optimization techniques.
 </li>
 <li>
 
 Collaboration &amp; Stakeholder Engagement:
 
 </li>
 <li>
 Collaborate with data scientists, platform engineers, DevOps/MLOps engineers, business analysts, and product teams to convert business requirements into scalable AI solutions.
 </li>
 <li>
 
 Innovation &amp; Continuous Learning:
 
 </li>
 <li>
 Continuously evaluate emerging Azure AI, Generative AI, and Agentic AI capabilities and recommend practical adoption opportunities aligned with FAB's AI strategy. Stay abreast of state-of-the-art developments in generative AI and agentic architectures.
 </li>
 </ul>
 
 
 
 
 
 TECHNICAL SKILLS: minimum 3-4 yrs of working experience mandatory
 
 
 
 
 Azure AI Services:
 
 Demonstrated working experience with Microsoft Azure AI Services including Azure OpenAI, Azure Machine Learning, Azure Cognitive Services, Azure AI Search, Azure Functions, and Azure Databricks.
 
 
 
 Python Programming:
 
 Strong proficiency in Python programming, including experience with REST APIs, SDKs, asynchronous processing, data manipulation, backend development, and AI application frameworks (LangChain, LlamaIndex, Semantic Kernel, LangGraph, FastAPI).
 
 
 
 LLM &amp; Generative AI:
 
 Deep understanding of machine learning, statistical modeling, NLP, generative AI principles, LLM application development, prompt engineering, RAG architecture, embeddings, vector databases, semantic search, and model evaluation techniques.
 
 
 
 ML Libraries &amp; Frameworks:
 
 Advanced proficiency in ML libraries such as PyTorch, TensorFlow, Hugging Face Transformers, scikit-learn, and NLP libraries (spaCy, NLTK).
 
 
 
 Vector Databases:
 
 Experience with vector databases including FAISS, Azure AI Search, ChromaDB, and Pinecone.
 
 
 
 DevOps/MLOps:
 
 Hands-on experience with DevOps/MLOps practices and tools such as Git, Docker, Kubernetes, CI/CD pipelines, MLflow, Terraform, Azure Monitor, and Application Insights.
 
 
 
 Cloud Security &amp; Integration:
 
 Understanding of cloud security, identity and access management, data privacy, encryption, logging, monitoring, and secure API integration patterns.
 
 
 
 AI Ethics &amp; Governance:
 
 Awareness of ethical considerations and responsible AI practices, including fairness, accountability, transparency, bias detection, hallucination mitigation, and compliance in AI systems.
 
 
 
 
 
 
 KNOWLEDGE, SKILLS, &amp; EXPERIENCE
 
 
 
 
 
 Minimum Qualifications:
 
 
 
 
 Bachelor's degree in Computer Science, Engineering, Artificial Intelligence, Data Science, Mathematics, Statistics, or related field; Master's degree is preferred. Microsoft Certified: Azure AI Engineer Associate (AI-102) certification is highly preferred.
 
 
 
 
 Minimum Experience:
 
 
 
 
 3+ years of hands-on experience in designing, developing, and deploying AI/ML or Generative AI solutions in production environments.
 
 
 Mandatory hands-on experience with Microsoft Azure AI Services.
 
 
 Experience working with large-scale datasets and real-time enterprise data.
 
 
 Experience in financial services, banking, risk, compliance, customer service, or regulated enterprise environments is an advantage.
 
 
 
 
 Knowledge and Skills:
 
 
 
 
 
 Business Understanding:
 
 
 
 Strong understanding of business processes and the ability to identify opportunities for AI-driven optimization and automation across banking domains.
 
 
 
 Analytical &amp; Problem-Solving:
 
 
 
 Excellent analytical, problem-solving, debugging, and performance optimization skills with the ability to troubleshoot AI applications in production and translate complex business problems into AI solutions.
 
 
 
 Communication Skills:
 
 
 
 Strong verbal and written communication skills, capable of explaining complex AI concepts to both technical and non-technical stakeholders.
 
 
 
 Collaboration:
 
 
 
 Proven ability to work effectively in cross-functional teams, collaborating with data scientists, platform engineers, DevOps engineers, business analysts, and product teams.
 
 
 
 Responsible AI Mindset:
 
 
 
 Understanding of AI governance, model risk, data privacy, security, and compliance requirements in a regulated banking environment.
 
 
 
 Production Engineering:
 
 
 
 Ability to build, deploy, monitor, and optimize production-grade AI systems with attention to reliability, scalability, cost, and operational excellence.
 
 
 
 Adaptability &amp; Learning:
 
 
 
 Willingness to stay updated on the latest AI technologies, agentic frameworks, and cloud services, and the ability to apply them to solve evolving business challenges.
 
 
 Thank you for your interest in applying for this position with TCS. We will review your application and will get back to you if we are considering your interest in this opportunity.
 
 
 
 
 
 
 Application Deadline: 30- July -2026
 
 
 
 
 
 
 
 Privacy Note:
 
 
 
 https://www.tcs.com/connect-with-tcs/privacy-policy
 
</div>

AI Engineer

KAYALI

<div>Who We Are
Fueled by passion, KAYALI was founded in 2018 by beauty mogul and fragrance fanatic, Mona Kattan. Translating to &lsquo;my imagination&rsquo; in Arabic, KAYALI provides a modern fragrance experience inspired by Mona&rsquo;s rich Middle Eastern heritage and the art of layering scents to help you create your mood; where sharing scents is a ritual and smelling good is both an act of goodwill and self-love. Mona collaborates with some of the world&rsquo;s most renowned perfumers and sources the finest ingredients to create unique juices that are infinitely memorable, long-lasting, and cruelty-free. Each luxurious fragrance is an ode to true craftsmanship and tells a special story, from the addictive notes to the multi-faceted jeweled bottles. 
Our Mission
To make everyone feel like the diamond they are! To build a global community of fragrance lovers through the power of scent and by providing them with the most innovative &amp; luxurious fragrances, education and sharing our Middle Eastern fragrance rituals with the world. 
Summary
Introduction of a new role to provide expertise across data warehousing platforms including Azure Data Bricks and Power BI along with all the necessary integrations. The BI Engineer will be responsible for supporting, implementing and maintaining data warehouse Pipelines and Reports to streamline business process. 
RESPONSIBILITIES:
Data Platform &amp; Architecture<ul><li>
Manage a scalable modern Data platform leveraging the Azure ecosystem, including Azure Databricks, Azure Synapse Analytics, Azure Data Factory, and Azure Data Lake Storage.
</li><li>Design and implement Lakehouse architecture using Medallion (Bronze, Silver, Gold) patterns with Delta Lake to ensure data reliability, scalability, and performance with knowledge of Delta Lake and ACID-compliant data architectures
</li><li>Apply data modelling techniques (dimensional modelling, star/snowflake schemas) to support both operational and analytical use cases.</li></ul>
Data Engineering &amp; Pipelines<ul><li>
Develop and maintain robust, high-performance data pipelines using cloud-native technologies (Databricks, PySpark, Lakehouse Workflows) to support ingestion, transformation, and curation of large-scale datasets.
</li><li>Knowledge in identifying and resolving complex data discrepancies across multi-stage ETL/ELT pipelines, with a focus on root cause analysis (RCA) of failures, data skew, and late-arriving data etc.
</li><li>Build and optimize end-to-end data integration frameworks, including ingestion from relational databases, flat files, and third-party REST APIs (handling authentication, pagination, and incremental loads).
</li><li>Troubleshoot and resolve complex data pipeline failures, performance bottlenecks, and data inconsistencies, performing root cause analysis in production environments.</li></ul>
Business Intelligence &amp; Power BI<ul><li>
Design, develop, and optimize Power BI datasets, reports, and dashboards, applying best practices in data modelling, DAX, and performance tuning.
</li><li>High-level proficiency in performance tuning and semantic model debugging, specifically using tools like DAX Studio and Tabular Editor to isolate issues within the Filter Context, Row Context, and complex relationship cardinalities.
</li><li>Strategic ability to troubleshoot data issues and investigate Gateway connectivity failures, Direct Query latency issues, and visual-level calculation errors to ensuring report accuracy and faster response times for executive stakeholders.</li></ul>
Data Integration &amp; Consumption<ul><li>
Manage the integration of data platforms with Power BI, ensuring efficient data models and seamless data consumption for reporting and analytics.</li></ul>
Data Governance &amp; Security<ul><li>
Implement and manage data security frameworks, including role-based access control (RBAC), Row-Level Security, and governance using Unity Catalog or equivalent tools.</li></ul>
DevOps, CI/CD &amp; Deployment<ul><li>
Knowledge in CI/CD pipelines using Azure DevOps or GitHub Actions to enable automated, reliable, and consistent deployment of data solutions.</li></ul>
Performance Optimization &amp; Cost Management<ul><li>
Monitor and optimize data platform performance and cloud resource utilization, identifying cost optimization opportunities and ensuring efficient workload execution.</li></ul>
Data Quality &amp; Reliability<ul><li>
Implement data quality, validation, and monitoring frameworks to ensure accuracy, consistency, and reliability of data assets.</li></ul>
Stakeholder Collaboration &amp; Delivery<ul><li>
Collaborate with cross-functional teams including business stakeholders, analysts, and engineers to translate business requirements into scalable technical solutions.</li></ul> 

Requirements 
<ul><li>
 Minimum 5+ years in both Reporting and Data engineering domain, with at least 3+ years focused on Azure based data platforms mainly Power BI and Azure Databricks.</li><li>
 Comprehensive knowledge of the Azure Data Stack and Strong hands-on experience with Azure Databricks, Azure Data Lake Storage, Synapse, ADF and open-source cloud native tools.</li><li>
 Extensive experience in Power BI, including Dataset design and optimization, Report and dashboard development using calculated measures, DAX etc.</li><li>
Knowledge of performance tuning techniques (Query optimization, Import vs Direct Query, aggregations etc).</li><li>
Proficiency in SQL, PySpark, Python</li><li>
 Solid understanding on Data modelling techniques.</li><li>
 Effective problem-solving skills backed by strong people skills.</li><li>
 Excellent oral and written communication skills.</li></ul> 

Benefits 
<ul><li>
Premium Medical/Dental/Vision coverage</li><li>
Find your Magic Days</li><li>
Volunteer Day</li><li>
Birthday Leave</li><li>
Egg Freezing Benefits</li><li>
Employee discounts on all Kayali products</li><li>
Quarterly product gifting</li></ul> 
Kayali is committed to building diverse and inclusive teams and upholding an equal employment workplace that is free from discrimination. We hire stellar individuals regardless of their race, color, ancestry, religion, gender identity, national origin, sexual orientation, age, marital status, medical conditions, disability, or veteran status. If you need reasonable accommodations at any point in the application or interview process, please let us know.</div>

BI Engineer

TALENTMATE

<div>
 
 Job Description
 
 
 
 
 About Us
 
 
 
 At Dyson, we&rsquo;re driven by a relentless pursuit of innovation&mdash;pushing boundaries in engineering, AI, and robotics. Our new Data Intelligence team sits at the heart of this mission: shaping Dyson&rsquo;s future through data. Here, we blend creativity, precision, and audacity to power intelligent products. We craft data strategies and pipelines that fuel the next generation of connected devices.
 
 
 You&rsquo;ll work alongside brilliant minds from Dyson global engineering team and external software/hardware partners in an environment built for exploration, discovery, delivery and impact.
 
 
 
 About the role
 
 
 We are looking for a specialized Data Intelligence Machine Learning Engineer to design and implement in-house tools that automate our data labelling pipelines. Your primary goal will be to reduce our reliance on manual annotation by leveraging techniques like Active Learning, Weak Supervision, and Synthetic Data Generation. You will bridge the gap between raw data collection and model-ready datasets, ensuring high-quality labels at scale.
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Architect Labelling Pipelines: Design and deploy end-to-end automated labelling systems using frameworks like Snorkel, Cleanlab, or custom active learning loops.
 </li>
 <li>
 Develop "Human-in-the-Loop" (HITL) Systems: Build interfaces and workflows where models pre-label data and humans only intervene on high-uncertainty samples.
 </li>
 <li>
 Quality Assurance &amp; Denoising: Implement algorithmic checks to identify and correct mislabelled or "noisy" data within existing datasets.
 </li>
 <li>
 Tooling &amp; Integration: Collaborate with software engineers to integrate labelling tools with our existing data lakes and ML training infrastructure.
 </li>
 <li>
 Model Optimization: Fine-tune "teacher" models to generate high-quality pseudo-labels for "student" models.
 </li>
 <li>
 Set up and maintain robust data preparation infrastructure&mdash;optimising for data quality, speed, and seamless integration with downstream MLOps pipelines.
 </li>
 <li>
 Perform data visualization and in-depth analysis using advanced data and feature engineering techniques. You&rsquo;ll help transform raw data into actionable insight, supporting both research and deployment.
 </li>
 <li>
 Work closely with Data Scientists, Software Engineers, and Product teams to ensure high data quality and usability across products and projects.
 
 
 </li>
 </ul>
 
 About you
 
 
 
 <ul>
 <li>
 At least 3+ years of professional experience in Machine Learning engineering, specifically focused on data centric-AI or computer vision/NLP pipelines.
 </li>
 <li>
 Proficiency in Python: Mastery of the Machine Learning stack (PyTorch or TensorFlow, NumPy, Pandas, Scikit-learn).
 </li>
 <li>
 Automated Labelling Expertise: Proven experience with Weak Supervision (labelling functions) or Active Learning strategies (uncertainty sampling, diversity sampling).
 </li>
 <li>
 Data Engineering: Experience with SQL and NoSQL databases, and managing large-scale unstructured data (images, text, or audio).
 </li>
 <li>
 Cloud Infrastructure: Familiarity with AWS (SageMaker Ground Truth), GCP (Vertex AI), or Azure ML labelling services.
 </li>
 <li>
 Version Control for Data: Experience with DVC (Data Version Control) or similar tools to track dataset iterations.
 </li>
 <li>
 Hands-on expertise building auto-labelling solutions or working with large-scale data annotation workflows.
 </li>
 <li>
 Advanced skills in Python (and/or other relevant languages), and experience with key ML/data science libraries (e.g. TensorFlow, PyTorch, scikit-learn, pandas).
 </li>
 <li>
 Experience designing, deploying, and maintaining scalable data pipelines, including data cleansing, transformation, and storage (cloud, on-prem, or hybrid).
 </li>
 <li>
 Strong background in feature engineering, data analysis, and data visualization&mdash;comfortable using tools like Jupyter, Tableau, or Power BI.
 </li>
 <li>
 Great communicator who documents solutions clearly and collaborates effortlessly across technical and non-technical teams.
 </li>
 <li>
 Able to balance speed and quality, stay curious about new developments, and deliver results in a fast-moving environment.
 </li>
 <li>
 Bachelor&rsquo;s or Master's degree in computer science, Engineering, Mathematics, Data Science, or a related field.
 
 
 </li>
 </ul>
 Dyson is an equal opportunity employer. We know that great minds don&rsquo;t think alike, and it takes all kinds of minds to make our technology so unique. We welcome applications from all backgrounds and employment decisions are made without regard to race, colour, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other any other dimension of diversity.
 
 
 Job Details
 
 
 Role Level: Not Applicable Work Type: Full-Time Country: United Arab Emirates City: Dubai Company Website: http://careers.dyson.com Job Function: Engineering Company Industry/
 
 
 Sector: Appliances Electrical and Electronics Manufacturing
 
 
 What We Offer
 
 
 
 About The Company
 
 
 
 Searching, interviewing and hiring are all part of the professional life. The TALENTMATE Portal idea is to fill and help professionals doing one of them by bringing together the requisites under One Roof. Whether you're hunting for your Next Job Opportunity or Looking for Potential Employers, we're here to lend you a Helping Hand.
 
 
 Report
 
 
 Disclaimer: talentmate.com is only a platform to bring jobseekers &amp; employers together. Applicants are advised to research the bonafides of the prospective employer independently. We do NOT endorse any requests for money payments and strictly advice against sharing personal or bank related information. We also recommend you visit Security Advice for more information. If you suspect any fraud or malpractice, email us at abuse@talentmate.com.
</div>

Data Intelligence Machine Learning Engineer

ALBA CORP

<div>
 We are looking for an
 
 AI Engineer
 
 to design, build, and own production-grade systems powered by modern AI development tools, automation platforms, databases, and intelligent agents.
 
 
 This role is suited to an experienced, hands-on developer who thinks in databases, APIs, workflows, and scalable system architecture&mdash;not isolated prototypes. You should be comfortable moving quickly with tools such as Claude Code and Codex while maintaining reliability, security, and clean technical standards. If you have shipped systems that teams or customers actively depend on, keep reading.
 
 
 
 Key Responsibilities
 
 
 
 
 AI Systems &amp; Database Architecture
 
 
 
 <ul>
 <li>
 Design, implement, and maintain scalable database architectures using Supabase and MongoDB.
 </li>
 <li>
 Deploy and manage AI agents, including Openclaw, Hermes, and Cowork, across multiple operational use cases.
 </li>
 <li>
 Build production-ready applications and internal systems using modern AI-assisted development workflows.
 </li>
 <li>
 Monitor system reliability, troubleshoot technical issues, and improve performance as usage grows.
 
 
 </li>
 </ul>
 
 Automation &amp; Systems Integration
 
 
 
 <ul>
 <li>
 Build, maintain, and scale workflow automations using n8n, Make, and Zapier.
 </li>
 <li>
 Integrate third-party APIs and connect systems across business functions from end to end.
 </li>
 <li>
 Develop reliable data flows between databases, AI agents, CRMs, ERPs, and external platforms.
 </li>
 <li>
 Create clear technical documentation for workflows, integrations, and system dependencies.
 
 
 </li>
 </ul>
 
 Business Platforms &amp; Technical Delivery
 
 
 
 <ul>
 <li>
 Customize and extend CRM and ERP platforms to support real operational requirements.
 </li>
 <li>
 Translate business challenges into practical, maintainable technical solutions.
 </li>
 <li>
 Collaborate with internal stakeholders to define requirements, test implementations, and deliver improvements.
 </li>
 <li>
 Take ownership of systems from initial architecture and development through deployment and ongoing support.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Several years of hands-on experience building and supporting production systems&mdash;not only demonstrations or prototypes.
 </li>
 <li>
 Proven experience creating workflow automations with n8n, Make, or Zapier.
 </li>
 <li>
 Strong proficiency with modern AI coding tools such as Claude Code and Codex.
 </li>
 <li>
 Solid database architecture experience using Supabase and MongoDB.
 </li>
 <li>
 Practical experience deploying AI agents such as Openclaw, Hermes, or Cowork.
 </li>
 <li>
 Strong API development and third-party integration capabilities.
 </li>
 <li>
 A portfolio of shipped systems that you can explain and demonstrate during the interview process.
 
 
 </li>
 </ul>
 Experience with
 
 Python, Odoo, ReactJS, Node.js, Vite, Tailwind CSS, or hands-on CRM and ERP customization
 
 will be an advantage.
 
 
 
 Salary &amp; Benefits
 
 
 
 <ul>
 <li>
 Competitive Salary: AED 6,000&ndash;8,000 per month, based on experience and demonstrated technical ability
 </li>
 <li>
 Work visa sponsorship
 </li>
 <li>
 Medical insurance
 </li>
 <li>
 30 days of paid annual leave
 </li>
 <li>
 Access to modern AI development tools and technical platforms
 </li>
 <li>
 Opportunities for technical training and continuous learning
 </li>
 <li>
 A fast-moving, collaborative environment with ownership of meaningful projects
 </li>
 <li>
 Company-provided equipment required for the role
 
 
 </li>
 </ul>
 
 Work Arrangement
 
 
 
 
 Type:
 
 Full-time, on-site position
 
 
 Remote or hybrid work is not available. Candidates must be based in or willing to relocate to the UAE.
 
 
 
 Why Join Us?
 
 
 
 <ul>
 <li>
 Build AI systems and automations that are used in real business operations.
 </li>
 <li>
 Work with modern AI agents, databases, development tools, and automation platforms.
 </li>
 <li>
 Own projects from architecture and development through deployment and optimization.
 </li>
 <li>
 Grow within a team that values technical initiative, rapid execution, and practical problem-solving.
 
 
 </li>
 </ul>
 
 Join us and code the future&mdash;apply now to make your mark.
 
</div>

AI Engineer (Vibe Coder)

Yassir

<div>
 
 About Yassir
 
 
 
 Yassir is the Super App designed to make your life easier. Yassir&rsquo;s Mission is to serve Africans in the continent and its diaspora while creating economic opportunities for service providers and infusing social values. We aspire towards providing our users with the most essential services to their door by leveraging technology and a large ecosystem of partners. We at Yassir stand for: Ambition, Transparency &amp; Trust, Quality, Performance. And we are growing fast - super fast.By choosing a career at Yassir, you choose to be part of one of the most impactful, fastest-growing Tech companies in Africa.
 
 
 
 About The Role
 
 
 
 <ul>
 <li>
 Yassir is seeking a highly skilled and motivated Data Scientist, of any level, to join our Artificial Intelligence (AI) team and contribute to some of our key projects, such as Dynamic Pricing and Trip Dispatching. As a Data Scientist, you will play a crucial role in analyzing and modelling data to optimize our Machine Learning (ML) systems. Your expertise in both predictive modelling and software development will be essential in driving our solutions and providing value to Yassir. This is a very exciting opportunity, tackling some of Yassir&rsquo;s most critical problems
 
 
 
 </li>
 </ul>
 
 About The Team
 
 
 
 <ul>
 <li>
 The AI team is part of Yassir&rsquo;s central Data &amp; AI domain, which is responsible for all data related activities in the organization - from Data Engineering, Data Platform management and Data Analytics all the way to AI solutions and MLOps infrastructure development. We are a global team of Data and AI / ML experts, encompassing diverse backgrounds and skills. We strive to build state-of-the-art Data and ML infrastructure and solutions, and ultimately a Data Culture supported by responsible and democratized data access, data-driven decision making and automation. We push the envelope of what&rsquo;s feasible, we challenge each other, we support each other, and we take great pride in our work. Most of all we are value-driven to create impact from our data solutions. If you have an inherent curiosity about the fields Data and AI, a relevant background and an internal zeal and drive to contribute, please come join us!
 
 
 
 </li>
 </ul>
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Become an expert point of contact and thought leader on your scope by mastering the details and principles pertaining to it
 </li>
 <li>
 Some key areas we have to focus include: optimizing our Pricing capabilities, such as Dynamic / Surge Pricing, Discounts / Commissioning Optimization and Personalized Pricing, optimizing our Dispatching capabilities, optimizing our Fraud Detection / Revenue Leakage Prevention capabilities, optimizing our Recommendations / Personalization capabilities, amongst others
 </li>
 <li>
 Identify and propose ML opportunities related to your scope and beyond
 </li>
 <li>
 Support with requirements definition and prioritization of ML projects
 </li>
 <li>
 Collaborate with cross-functional Engineering and Product teams
 </li>
 <li>
 Champion Data Quality as a critical input component to all ML solutions and Analytics
 </li>
 <li>
 Conduct Exploratory Data Analysis and subsequent Feature Selection / Engineering
 </li>
 <li>
 Utilize Statistical and ML techniques, as appropriate, for model training
 </li>
 <li>
 Validate and tune ML models
 </li>
 <li>
 Visualize analysis / modelling results focusing on meaningful, actionable metrics and insights
 </li>
 <li>
 Deploy and test ML applications using our MLOps infrastructureMonitor ML models on their technical performance, business impact and underlying data / concept drift
 </li>
 <li>
 Explain technical solutions in a business-friendly manner, supporting Product teams in their communications and reporting
 </li>
 <li>
 Maintain and improve technical documentation of delivered solutions
 </li>
 <li>
 Support the Data &amp; AI domain in developing its technical capabilities, improving its ways of working and collaboration with other dependent teams
 </li>
 <li>
 Champion Data Culture, proactively share knowledge across teams, and participate and drive team building activities
 
 
 
 </li>
 </ul>
 
 Key Requirements - Essential
 
 
 
 <ul>
 <li>
 Solid Mathematical / Statistical / Machine Learning as well as Software Development technical skills - supported by a Masters degree or above in a relevant quantitative field such as Mathematics, Statistics, Data Science, Machine Learning, Operational Research, Computer Science, Software Engineering, Physics
 </li>
 <li>
 Comfortable in efficient, production quality Python and SQL coding at a professional setting with at least 2 years of industry experience (more years of experience would be required for more Senior roles)
 </li>
 <li>
 Comfortable with key software engineering concepts, such as code / memory profiling, code optimization, scalability, code / QA testing, cost optimization and associated best practices
 </li>
 <li>
 Comfortable with key Statistical concepts, such as statistical testing and causal analysis
 </li>
 <li>
 Analytical thinking and problem solving skills
 </li>
 <li>
 Engineering mindset focused towards delivering robust applied data science solutions
 </li>
 <li>
 Visualization skills, including experience with common Python ecosystem libraries and/or Analytics / BI tooling
 </li>
 <li>
 Familiarity and prior use of Cloud solutions and their data / ML services - at Yassir we use Google Cloud Platform (GCP), experience with which is highly preferred
 </li>
 <li>
 Mastering of the end-to-end (ML) model development lifecycle
 </li>
 <li>
 Excellent communication skills, including presentation and oral / written communication (clear articulation, concise documentation) in professional English
 </li>
 <li>
 Positive attitude and resilience
 </li>
 <li>
 Strong interpersonal skills focused on peer support, empathy, active listening, team building and stakeholder relationships building
 </li>
 <li>
 Internal drive, self-motivation and ability to work independently including own effective project management
 
 
 
 </li>
 </ul>
 
 Nice to have
 
 
 
 <ul>
 <li>
 Experience with On-demand, Mobility or Financial Services companies
 </li>
 <li>
 Experience working on ML features for Digital Products (apps, websites)
 </li>
 <li>
 Experience with one or more from: Pricing / Economics related projects and/or modelling techniques (we welcome Economics / Econometrics backgrounds and experience), Fraud Detection related projects, Dispatching related projects, Personalization related projects
 
 
 
 </li>
 </ul>
 
 Join the ride!
 
 
 
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
</div>

Mid/Senior - Data Scientist

Kirpa Properties LLC

Job descriptions:-We&rsquo;re Hiring: AI OfficerDubai, UAE | Kirpa Properties | Full-timeThis is a builder&rsquo;s role, not an advisory one. You will personally architect, build, and ship AI systems &mdash;writing the automations, wiring the integrations, standing up the agents, and owning them in production.You will sit close to the founders, translate business problems into working software, and raise the whole group&rsquo;s capability with AI.You will own the full lifecycle: identify the opportunity &rarr; design the solution &rarr; build it &rarr; deploy it&rarr; measure it &rarr; train the team on it.What You&rsquo;ll DoBuild AI-integrated systems* Sales &amp; CRM automation &mdash; speed-to-lead calling, intelligent lead routing, follow-up sequences, and WhatsApp/Instagram DM automation for the brokerage.* Agentic workflows &mdash; build and maintain AI agents that draft offers, qualify leads, summarise calls, and handle repetitive back-office work.* Content &amp; media tooling &mdash; AI pipelines for script generation, avatar/voice workflows, image and video assets, and publishing across The Kirpa Show and social channels.Kirpa Group &middot; Built on loyalty and trust &middot;* Internal operations &mdash; reporting automation, performance dashboards, document generation(contracts, brochures, pitch decks), and data flows between systems.* Integrations &mdash; connect CRMs, telephony, messaging, Google Workspace, accounting, andbespoke tools into reliable end-to-end systems. Own strategy &amp; delivery* Define and maintain the group&rsquo;s AI roadmap &mdash; prioritising by business impact and feasibility.* Evaluate and select models, platforms, and vendors; manage costs, usage, and data governance.* Set standards for security, privacy, and responsible AI use across the group.* Establish metrics and report on ROI, adoption, and performance of every system you ship.Raise the team&rsquo;s capability* Train agents, content creators, and operations staff to use AI tools effectively in their daily work.* Create internal playbooks, prompt libraries, and lightweight documentation so systems are usableand maintainable.* Act as the group&rsquo;s go-to expert &mdash; the person who turns &ldquo;can AI do this?&rdquo; into a working system.What You&rsquo;ll Bring Must-have* Hands-on building &mdash; demonstrable experience personally building and shipping AI/automation systems &mdash; not just advising on them.* Engineering ability &mdash; strong programming skills (Python and/or JavaScript/TypeScript) and comfort with APIs, webhooks, and databases.* LLM fluency &mdash; practical experience with large-language-model APIs (e.g. Anthropic Claude,OpenAI), prompt engineering, RAG, and agent frameworks.* Automation platforms &mdash; proficiency with tools such as n8n, Make, or Zapier, and integrating third-party services (telephony like Twilio, messaging/WhatsApp, CRMs).* Product sense &mdash; able to take a vague business problem and independently scope, build, and deliver a working solution end-to-end.* Ownership &mdash; self-directed, fast-moving, and accountable for systems in production &mdash;comfortable being the only AI person in the room. Nice-to-have* Experience in real estate, e-commerce/retail, or media/content production.* Front-end skills (React/HTML) for building internal tools and dashboards.* Familiarity with voice/avatar and generative-media tools (e.g. ElevenLabs, HeyGen, image/videogeneration).* Data engineering, analytics, or BI experience.* Experience training non-technical teams to adopt new tools.What Success Looks Like* First 90 days &mdash; ship at least one high-impact system in production (e.g. speed-to-leadautomation) and map the group-wide AI roadmap.Kirpa Group &middot; Built on loyalty and trust &middot; Page 2* First 6 months &mdash; measurable gains in sales response time, content output, and operationalefficiency from systems you&rsquo;ve built.* First 12 months &mdash; a connected stack of AI systems across the group, an enabled team usingthem daily, and AI established as a durable Kirpa advantage.Why Join Kirpa* A rare blank-canvas mandate: build the entire AI function from the ground up, your way.* Direct access to the founders and the authority to ship &mdash; no layers, no bureaucracy.* Exposure across five distinct businesses &mdash; real estate, development, retail, media, andinvestment.* A fast-growing group that genuinely values technology and rewards results.* Competitive package, commensurate with experience and impact.How to ApplySend your CV, a short note on why this role fits, and &mdash; most importantly &mdash; examples of AI systemsyou have personally built and shipped (links, demos, repos, or a brief write-up). We care more aboutwhat you&rsquo;ve built than where you&rsquo;ve worked.Apply to: [careers@kirpaproperties.com] Business Bay, Dubai.Kirpa GroupAbility to commute/relocate:<ul><li>Dubai: Reliably commute or planning to relocate before starting work (Preferred)</li></ul>Application Question(s):<ul><li>What is your last salary &amp; salary expectation? </li></ul>Education:<ul><li>Bachelor's (Required)</li></ul>Location:<ul><li>Dubai (Preferred)</li></ul>Work Location: In person

AI Officer

Speechify

<div>The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading &ndash; PDFs, books, Google Docs, news articles, websites &ndash; into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.
Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting &ndash; Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.

What You'll Do
<ul>
<li>Be scrappy to find new sources of audio data and bring it into our ingestion pipeline</li>
<li>Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.</li>
<li>Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.</li>
<li>Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team's dataset roadmap to power Speechify's next-generation consumer and enterprise products.</li>
</ul>
An Ideal Candidate Should Have
<ul>
<li>BS/MS/PhD in Computer Science or a related field.</li>
<li>5+ years of industry experience in software development.</li>
<li>Proficiency with bash/Python scripting in Linux environments</li>
<li>Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)</li>
<li>Experience with web crawlers, large-scale data processing workflows is a plus</li>
<li>Ability to handle multiple tasks and adapt to changing priorities.</li>
<li>Strong communication skills, both written and verbal.</li>
</ul>
What we offer
<ul>
<li>A fast-growing environment where you can help shape the company and product.</li>
<li>An entrepreneurial-minded team that supports risk, intuition, and hustle.</li>
<li>A hands-off management approach so you can focus and do your best work.</li>
<li>An opportunity to make a big impact in a transformative industry.</li>
<li>Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.</li>
<li>Opportunity to work on a life-changing product that millions of people use.</li>
<li>Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.</li>
<li>Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.</li>
</ul>
Think you're a good fit for this job?

Tell us more about yourself and why you're interested in the role when you apply.
 
And don't forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit?

Refer them!

Speechify is committed to a diverse and inclusive workplace.

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.</div>

Software Engineer, Data Infrastructure & Acquisition - Dubai, United Arab Emirates

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