artificial 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

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

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)

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

WeRide

<div>
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Accurately label and categorize large datasets, including text, audio, images, and video.
 </li>
 <li>
 Review and correct data annotations to ensure quality and consistency
 </li>
 <li>
 Work closely with the AI and Machine Learning teams to understand project-specific guidelines.
 </li>
 <li>
 Provide feedback to improve the data annotation process.
 </li>
 <li>
 Meet daily/weekly annotation targets while maintaining high-quality standards
 
 
 
 </li>
 </ul>
 
 Requirements:
 
 
 
 <ul>
 <li>
 Fluent in English (B2 or above).
 </li>
 <li>
 Basic computer skills and familiarity with online tools.
 </li>
 <li>
 Ability to follow detailed instructions and adapt to changing project needs.
 </li>
 <li>
 Prior experience in data annotation or related fields is a plus but not required.
 </li>
 <li>
 Experience in Data Annotation is a MUST
 
 
 
 </li>
 </ul>
 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>

Data Annotator

Synolon Systems

About the CompanyWe are building a global robotics news platform focused exclusively on robotics, automation, artificial intelligence, and emerging technologies.Our mission is to become one of the world's leading sources for robotics news, robot launches, manufacturer developments, real-world deployments, industry analysis, executive interviews, market intelligence, and public understanding of the robot era.This is not a generic technology blog and this is not a traditional content-writing role.We are creating a serious editorial platform designed to serve robotics manufacturers, founders, investors, integrators, service providers, enterprise buyers, industry professionals, researchers, and technology decision-makers worldwide.We are looking for an experienced journalist and editor who wants to help build a respected global media brand from the ground up.Employment DetailsPosition: Senior Journalist / Managing Editor Location: Dubai, United Arab Emirates Work Model: Full-Time, Office-Based Employment Type: PermanentThis is not a freelance, contributor, or remote-only role.Candidates should already be based in the UAE or be willing to relocate to Dubai for a full-time office-based position.The OpportunityAs Senior Journalist / Managing Editor, you will help shape the editorial voice of a fast-growing global robotics publication.You will identify important stories, develop editorial angles, conduct interviews, write articles, coordinate with correspondents, and transform complex robotics developments into compelling journalism.You do not need to be a robotics expert today.However, you must be highly curious, intellectually ambitious, capable of learning quickly, and comfortable working in a rapidly evolving technology sector.Your role is not simply to publish content.Your role is to create journalism that attracts attention, generates industry conversations, encourages company responses, and helps establish the publication as a trusted voice within the robotics ecosystem.Key ResponsibilitiesEditorial Leadership<ul><li>Identify significant developments across the global robotics industry</li><li>Develop strong editorial concepts and story angles</li><li>Write and edit news articles, interviews, reports, analysis pieces, and market coverage</li><li>Maintain high editorial standards for accuracy, fairness, and clarity</li><li>Ensure stories are relevant to industry professionals and decision-makers</li></ul>Journalism &amp; Reporting<ul><li>Research robotics companies, products, technologies, deployments, and market trends</li><li>Conduct interviews with founders, executives, engineers, investors, and industry experts</li><li>Request official statements and company responses</li><li>Verify information and distinguish marketing claims from confirmed facts</li><li>Build relationships with manufacturers, startups, and industry stakeholders</li></ul>Editorial FormatsYou will create content such as:<ul><li>Robot comparison reports</li><li>Market analysis articles</li><li>Manufacturer briefings</li><li>Industry explainers</li><li>Deployment case studies</li><li>CEO and founder interviews</li><li>Reality-check investigations</li><li>Buyer intelligence reports</li><li>Weekly industry question campaigns</li><li>Technology trend analysis</li></ul>CollaborationWork closely with:Research &amp; Partnerships Team<ul><li>Use company data, market research, and industry contacts to strengthen editorial coverage</li><li>Define information requirements for major stories</li></ul>Global Correspondents<ul><li>Brief reporters attending events, factory visits, demonstrations, and conferences</li><li>Develop structured interview questions and reporting objectives</li></ul>Video &amp; Social Media Team<ul><li>Convert major stories into video concepts</li><li>Generate ideas for YouTube content, short-form videos, LinkedIn posts, and newsletters</li><li>Support multimedia storytelling initiatives</li></ul>Core Editorial FormatsRobot ComparisonCompare robot models, technologies, or manufacturers using objective criteria.Examples:<ul><li>Which humanoid robots are closest to commercial deployment?</li><li>Best service robots for hospitality environments</li><li>Robot dogs compared by use case and availability</li><li>Robotics platforms for industrial applications</li></ul>Robot Reality CheckSeparate real-world deployment from marketing hype.Examples:<ul><li>Prototype versus commercial product</li><li>Announced versus available</li><li>Demonstration versus deployment</li><li>Claims versus verified performance</li></ul>Deployment WatchTrack real-world robot adoption across industries.Examples:<ul><li>Healthcare robotics</li><li>Warehouse automation</li><li>Hospitality robotics</li><li>Security robots</li><li>Manufacturing applications</li><li>Elderly care technologies</li></ul>Question of the WeekInterview multiple industry participants around a single topic.Examples:<ul><li>What is slowing humanoid robot adoption?</li><li>Which industries will deploy robots first?</li><li>What misconceptions do buyers have about robotics?</li><li>What does successful deployment actually require?</li></ul>Manufacturer BriefingsCreate concise profiles of robotics companies, including:<ul><li>Company overview</li><li>Product portfolio</li><li>Market positioning</li><li>Commercial readiness</li><li>Recent developments</li><li>Open questions and company responses</li></ul>Buyer IntelligenceHelp readers make informed decisions.Examples:<ul><li>Questions buyers should ask before purchasing robots</li><li>Why robotics pilot programs fail</li><li>Evaluating service and support networks</li><li>Understanding deployment risks</li></ul>What Success Looks LikeYou will be successful if:<ul><li>Our stories become trusted resources for industry professionals</li><li>Companies actively respond to editorial inquiries</li><li>We gain access to executive interviews and industry events</li><li>Readers share and discuss our reporting</li><li>Our coverage influences conversations within the robotics sector</li><li>The publication becomes recognized as a credible and independent source of robotics journalism</li></ul>Success will be measured through:<ul><li>Quality of reporting</li><li>Industry engagement</li><li>Company responses</li><li>Interview opportunities</li><li>Newsletter performance</li><li>Story impact</li><li>Audience trust</li><li>Editorial influence</li></ul>Required Qualifications<ul><li>5+ years of experience in journalism, editing, publishing, media, research, or industry analysis</li><li>Exceptional written English</li><li>Strong editorial judgment</li><li>Excellent research and interviewing skills</li><li>Ability to simplify complex topics without losing accuracy</li><li>Experience working with multiple information sources</li><li>Strong headline writing and story structuring abilities</li><li>Ability to work independently and meet deadlines</li><li>High standards of accuracy and factchecking</li><li>Strong communication and organizational skills</li><li>Ability to collaborate with global teams</li></ul>Preferred BackgroundsStrong candidates may come from:<ul><li>Technology journalism</li><li>Business journalism</li><li>B2B publishing</li><li>Trade media</li><li>Industry publications</li><li>AI and emerging technology media</li><li>Startup and venture coverage</li><li>Market intelligence</li><li>Research and analysis</li><li>Newsletter publishing</li><li>Investigative journalism</li></ul>Experience in robotics, automation, industrial technology, artificial intelligence, or deep technology sectors is highly desirable but not required.Preferred Skills<ul><li>Experience interviewing founders and executives</li><li>Experience writing analytical or comparison-based articles</li><li>Familiarity with newsletters and audience development</li><li>Experience supporting video or multimedia editorial projects</li><li>Understanding of social media publishing strategies</li><li>Experience using AI tools to improve editorial workflows</li><li>Existing network within technology, startup, AI, robotics, or media ecosystems</li></ul>What This Role Is NotThis role is not:<ul><li>A generic SEO content writing position</li><li>A copywriting role</li><li>A PR or communications role</li><li>A social-media-only role</li><li>A press release rewriting position</li><li>A freelance contributor opportunity</li><li>A remote-only position</li></ul>We are seeking a journalist and editor capable of producing meaningful, independent, and industry-relevant reporting.Example Weekly OutputA typical week may include:<ul><li>One major analysis, interview, or comparison article</li><li>Two to three shorter news updates</li><li>One company outreach campaign</li><li>One correspondent briefing</li><li>One newsletter contribution</li><li>One video or social content concept</li><li>Coordination with research and partnerships teams</li></ul>The emphasis is on quality, impact, and industry relevance rather than publishing volume alone.How to ApplyPlease submit:<ul><li>Your CV or r&eacute;sum&eacute;</li><li>Three to five writing samples</li><li>Examples of business, technology, analytical, or investigative work</li><li>Links to interviews, newsletters, videos, or editorial projects (if available)</li><li>A short note explaining your interest in robotics, AI, automation, and future technologies</li></ul>Please also confirm:<ul><li>Whether you are currently based in Dubai/UAE</li><li>Or whether you are willing to relocate to Dubai for a full-time office-based position</li></ul>Optional:Please include three article ideas you would propose during your first month covering the global robotics industry.Work Location: In person

Senior Journalist / Managing Editor – Global Robotics News

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