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applied ai engineer

Cerebras Systems

<div><div><h2 class="jobSectionHeader">Location</h2>
UAE
</div><div><h2 class="jobSectionHeader">Employment Type</h2>
Full time
</div><div><h2 class="jobSectionHeader">Department</h2>
Software</div></div>
 <div><div>Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services.
 
 
This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation.
 
 
Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference.
About The Role
As an Applied AI Scientist in the FieldML team, you will be responsible for developing and customizing large language models and more broadly large-scale deep learning models to solve specific customer problems. You won't just advise; you will build. You will bridge the gap between state-of-the-art research and real-world applications by helping customers harness the power of the Cerebras Wafer-Scale Engine (WSE) for their AI initiatives.
We are looking for experienced AI Scientists who are passionate about the &quot;applied&quot; side of machine learning - those who enjoy not just reading papers, but implementing, training, and scaling models to solve complex business and scientific problems. You will work on a diverse range of projects, from training bespoke models from scratch to fine-tuning and optimizing the latest Large Language Models (LLMs) for specific industry verticals, to designing and building components for custom agentic systems.
The ideal candidate has experience in large model training and/or post-training, a deep understanding of training dynamics and model convergence, and expertise in data curation, combined with strong communication skills.
Key Responsibilities
<ul><li>Customer Use Case Discovery &amp; Project Scoping
<ul><li>Collaborate with customer stakeholders to identify the best approaches to their business problem with AI.
</li><li>Contribute to the technical scoping of engagements, including feasibility analysis, data quality/availability/readiness assessments, and the selection of optimal model architectures.
</li><li>Define project milestones, success metrics, and rigorous evaluation benchmarks to ensure the solution delivers measurable value to the customer&rsquo;s business.
</li></ul></li><li>Custom SOTA Models and AI Systems Development
<ul><li>Architect and execute end-to-end training recipes for custom models, tailoring model architecture and training recipes to meet customer-specific performance and accuracy requirements.
</li><li>Design and implement sophisticated adaptation strategies, including continuous pre-training on private datasets, supervised fine-tuning (SFT), and post-training alignment via RLHF or DPO.
</li><li>Take full ownership of the training pipeline, from high-performance data preprocessing and tokenization to hyperparameter tuning and loss-curve analysis.
</li><li>Navigate the nuances of model convergence on specialized hardware, performing deep-dive analysis into loss dynamics and gradient stability.
</li><li>Scale training workloads across Cerebras clusters, ensuring efficient utilization of the hardware for multi-billion parameter models.
</li><li>Build and optimize the core components of agentic systems, focusing on tool-use capabilities, long-context reasoning, and multi-step planning.
</li></ul></li><li>Technical Customer Leadership
<ul><li>Serve as an AI/ML subject matter expert during technical deep-dives, translating customer requirements into precise training recipes.
</li><li>Build and maintain strong customer relationships to become their go-to AI/ML expert.
</li></ul></li><li>Internal Research and Engineering Collaboration
<ul><li>Act as the &quot;voice of the customer&quot; for internal R&amp;D and engineering teams to drive improvements in our software stack and hardware utilization.
</li><li>Partner with internal ML teams and product teams on prioritization of novel model architectures with Cerebras software stack, development of training recipes and internal case studies.
</li><li>Distill customer-facing successful projects into internal playbooks, helping scale the FieldML team&rsquo;s ability to deliver specialized models.
</li></ul></li></ul>Skills And Qualifications
<ul><li>Education: Master&rsquo;s or PhD in Computer Science, Machine Learning, or related fields.
</li><li>Broad Deep Learning Expertise: Expert-level understanding of modern model architectures, including dense transformers, MoEs, multimodal and sequence models, scaling laws and training dynamics.
</li><li>Hands-on Trainig Experience: Proven track record of training and/or fine-tuning large models (1B+ parameters) and direct experience with the challenges of large-scale model training.
</li><li>Engineering Proficiency: Mastery of Python and PyTorch, experience with distributed training frameworks and large-scale distributed data processing pipelines and tools.
</li><li>Strong Interpersonal and Communication Skills: Effective in collaborative and fast-paced team settings, able to work autonomously and within a team in a dynamic environment, managing multiple projects and pivoting as customer needs evolve. Able to present complex technical results to diverse audience - from C-level executives to research scientists, and to work collaboratively to solve customers&rsquo; unique challenges.
</li></ul>Why Join Cerebras
People who are serious about software make their own hardware. At Cerebras, we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we&rsquo;ve reached an inflection point in our business. Members of our team tell us there are five main reasons they joined Cerebras:
<div><ul><li>Build a breakthrough AI platform beyond the constraints of the GPU.
</li></ul><ul><li>Publish and open source their cutting-edge AI research.
</li></ul><ul><li>Work on one of the fastest AI supercomputers in the world.
</li></ul><ul><li>Enjoy job stability with startup vitality.
</li></ul><ul><li>Our simple, non-corporate work culture that respects individual beliefs.</li></ul></div> 

Apply today and become part of the forefront of groundbreaking advancements in AI!
Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them.</div></div>

Applied AI/ML Scientist

Reneco International Wildlife Consultants LTD

<div>
 
 RENECO's mission is to implement a global conservation strategy aiming to restore and preserve the Houbara bustard populations of North Africa (Chlamydotis undulata) and Asia (Chlamydotis macqueenii).
 
 
 
 
 
 To achieve these goals, RENECO has developed a multidisciplinary approach within different centers in Morocco, Central Asia, and the Arabian Peninsula by combining fundamental and applied research.
 
 
 
 
 
 To cope with the expansion of its activities and due to the development of new conservation projects, RENECO is opening new positions, giving a unique opportunity to be part of an ambitious conservation program.
 
 
 
 
 
 Reneco International Wildlife Consultants is seeking an
 
 AI &amp; Data Workflow Specialist
 
 to support the development and optimization of advanced data processing workflows across the organization.
 
 
 
 
 
 Working under the functional supervision of the Senior Database Manager, you will contribute to the integration of artificial intelligence, advanced analytics, and automation into our business processes. This role combines AI technologies, data science, workflow optimization, and user support to improve operational efficiency and enhance data-driven decision-making across conservation, ecology, veterinary, laboratory, and research activities.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Analyse existing business data workflows and integrate advanced AI and data processing solutions.
 </li>
 <li>
 Identify opportunities to optimize workflows by implementing cost-effective and innovative technologies.
 </li>
 <li>
 Monitor emerging AI technologies and recommend practical solutions aligned with business needs.
 </li>
 <li>
 Develop and maintain technical documentation, user guides, and activity reports.
 </li>
 <li>
 Deliver user training and provide ongoing support on AI tools, their capabilities, limitations, and business applications.
 </li>
 <li>
 Coordinate technical activities with external service providers and technology partners.
 </li>
 <li>
 Support the implementation of AI-driven solutions across multiple operational domains.
 </li>
 <li>
 Participate in international missions as required.
 </li>
 </ul>
 
 
 
 
 
 Requirements:
 
 
 <ul>
 <li>
 Master's degree (or equivalent) in Artificial Intelligence, Data Science, Computer Science, or a related field.
 </li>
 <li>
 Previous professional experience in AI, advanced data analysis, or a related technical role.
 </li>
 <li>
 Strong knowledge of AI technologies, including machine learning, automated recognition, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AI agents.
 </li>
 <li>
 Proficiency in Python and R for data processing, analytics, and AI development.
 </li>
 <li>
 Experience working with SQL Server and T-SQL.
 </li>
 <li>
 Strong analytical and problem-solving skills with the ability to improve complex business processes.
 </li>
 <li>
 Interest in applying AI solutions to scientific and operational environments such as conservation, ecology, laboratory, and veterinary activities.
 </li>
 <li>
 Ability to work independently while collaborating effectively with multidisciplinary teams.
 </li>
 <li>
 Willingness to travel internationally when required.
 </li>
 </ul>
 
 
 
 
 
 Preferred Qualifications
 
 
 <ul>
 <li>
 Experience with Business Intelligence platforms, preferably Tableau.
 </li>
 <li>
 Basic knowledge of system and network administration (Active Directory, IP, DNS).
 </li>
 <li>
 Familiarity with GIS software, particularly Esri ArcGIS Pro.
 </li>
 <li>
 Fluency in English is required.
 </li>
 <li>
 French, Arabic, Russian, Kazakh, or Uzbek language skills are considered an advantage.
 </li>
 </ul>
 
 
 
</div>

AI & Data Analysis Specialist

WSP in the Middle East

<div>
 
 Job Description
 
 
 
 WSP Middle East is seeking an experienced AI Business Partner to work in direct partnership with the Property &amp; Buildings (P&amp;B) Business Unit leadership. This senior role sits at the intersection of design, engineering, and applied intelligence, driving the integration of emerging technologies into core business and project delivery processes.
 
 
 The successful candidate will combine deep architectural or engineering expertise with the ability to apply AI, computational design, and digital tools to deliver measurable performance improvements across major programmes.
 
 
 As the single point of accountability for the P&amp;B AI agenda, you will define priorities, lead delivery, and embed scalable solutions that enhance design quality, operational efficiency, and client outcomes.
 
 
 
 Responsibilities
 
 
 
 
 Strategic Partnership &amp; Leadership
 
 
 
 <ul>
 <li>
 Act as the dedicated AI Business Partner to P&amp;B leadership across the Middle East.
 </li>
 <li>
 Develop and maintain a clear AI and digital roadmap aligned to business priorities and project demands.
 </li>
 <li>
 Provide informed, experience-led advisory to senior stakeholders on opportunities, risks, and investment decisions.
 
 
 
 </li>
 </ul>
 
 Use Case Development &amp; Value Realisation
 
 
 
 <ul>
 <li>
 Identify and prioritise high-impact use cases across the full project lifecycle&mdash;from concept design to delivery.
 </li>
 <li>
 Build structured business cases with clear KPIs, ROI, and measurable outcomes.
 </li>
 <li>
 Maintain a transparent pipeline from opportunity identification through to scaled deployment.
 
 
 
 </li>
 </ul>
 
 Computational Design &amp; Technical Enablement
 
 
 
 <ul>
 <li>
 Lead the integration of AI and computational design approaches into project workflows.
 </li>
 <li>
 Drive AI adoption within tools including Revit, Dynamo, Rhino, Grasshopper, AutoCAD, and Power BI to support data-driven design.
 </li>
 <li>
 Promote a culture of continuous improvement and innovation within design and engineering teams.
 
 
 
 </li>
 </ul>
 
 Delivery &amp; Change Management
 
 
 
 <ul>
 <li>
 Oversee the end-to-end implementation of AI solutions within live project environments.
 </li>
 <li>
 Ensure solutions are practical, scalable, and adopted effectively by multidisciplinary teams.
 </li>
 <li>
 Lead change management efforts to embed new ways of working across large programmes.
 
 
 
 </li>
 </ul>
 
 Governance, Risk &amp; Compliance
 
 
 
 <ul>
 <li>
 Establish and maintain governance frameworks for AI deployment within P&amp;B.
 </li>
 <li>
 Ensure adherence to WSP standards relating to data security, intellectual property, and risk management.
 </li>
 <li>
 Support client engagement on responsible and ethical use of AI technologies.
 
 
 
 </li>
 </ul>
 
 Performance Tracking &amp; Reporting
 
 
 
 <ul>
 <li>
 Track and report on performance, benefits, and adoption of AI initiatives.
 </li>
 <li>
 Provide clear, executive-level reporting aligned to business outcomes.
 </li>
 <li>
 Continuously refine strategy based on performance insights and evolving requirements.
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Degree in Architecture, Engineering, or a related discipline; professional accreditation (e.g. RIBA, ARB) is advantageous.
 </li>
 <li>
 Minimum 10 years&rsquo; experience within a Design Manager, Architect, or equivalent role, delivering large-scale projects.
 </li>
 <li>
 Strong understanding of multidisciplinary engineering principles within the built environment.
 </li>
 <li>
 Proven experience managing complex, multi-stakeholder programmes.
 </li>
 <li>
 Demonstrated ability to influence senior stakeholders and drive strategic initiatives.
 </li>
 <li>
 Experience delivering digital, data-driven, or AI-enabled solutions within the AEC sector.
 </li>
 <li>
 Strong regional experience within the Middle East market.
 
 
 
 </li>
 </ul>
 
 Technical Capability
 
 
 
 <ul>
 <li>
 Proficiency in BIM and computational design tools (Revit, Dynamo, Grasshopper, Rhino).
 </li>
 <li>
 Understanding of data workflows, automation, and emerging AI capabilities within design and engineering contexts.
 
 
 
 </li>
 </ul>
 
 Desirable Experience
 
 
 
 <ul>
 <li>
 Exposure to Generative AI, advanced analytics, and automation platforms.
 </li>
 <li>
 Familiarity with project delivery systems such as P6, Aconex, ACC, and Power BI.
 </li>
 <li>
 Experience working within structured enterprise governance environments.
 </li>
 <li>
 Background in digital engineering, BIM leadership, or design technology roles.
 
 
 
 </li>
 </ul>
 Imagine a better future for you and a better future for us all.
 
 
 Join our close-knit community of talented individuals who share your passion for making a positive impact. Our global team includes more than 69,000 employees, working together to make a difference in communities both close to home and around the world.
 
 
 
 With us, you can. Apply today.
 
</div>

AI Business Partner – Property & Buildings

Salesforce

<div>
 
 To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
 
 
 
 Job Category
 
 
 Sales
 
 
 Job Details
 
 
 
 About Salesforce
 
 
 
 Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn&rsquo;t a buzzword &mdash; it&rsquo;s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
 
 
 Ready to level-up your career at the company leading workforce transformation in the agentic era? You&rsquo;re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
 
 
 Salesforce is hiring Senior Forward Deployed Engineers &mdash; the Technical Builders, responsible for deciding that leads who design, build, and deploy the most complex agentic AI solutions directly inside enterprise customer environments. You'll lead technical delivery on your team, mentor the next wave of engineers, and set the engineering standards that define how agentic AI gets deployed at scale. Partnering closely with a Deployment Strategist (Strategic Builder - a customer-facing advisor who shapes AI strategy and drives adoption), you'll own outcomes end-to-end, from architecture decision to production. Your passion for well-crafted software that solves real problems will be supported by best-in-class AI tools and a team of talented builders around you.
 
 
 
 The Senior Builder Experience
 
 
 
 <ul>
 <li>
 Technical Ownership: Partner with a Deployment Strategist to own customer outcomes end-to-end. You're the senior technical authority in the room, ensuring deliverables meet the highest engineering standards, whether it was generated by an AI tool by a colleague or written by you directly.
 </li>
 <li>
 AI-Supported Engineering: Cursor, Claude, and Salesforce coding products like Vibes are embedded in your daily workflow. The conventions and patterns you develop tend to propagate through the team because other Builders look to your work as reference.
 </li>
 <li>
 Roadmap Influence: Your field experience routes directly to Product and Engineering. The gaps you hit and the edge cases you encounter in real life customer environments become the features they ship. Senior Forward Deployed Engineers are the most credible voice in agentic AIproduct evolution.
 </li>
 <li>
 Continuous Innovation: You're expected to stay at the forefront &mdash; piloting emerging AI tools, experimenting with new models and frameworks, and sharing what you learn with your team and customers.
 
 
 </li>
 </ul>
 
 What You'll Actually Be Building
 
 
 
 <ul>
 <li>
 Own end-to-end build and deployment of agentic AI solutions for Salesforce's most strategic customers &mdash; from architecture decisions through production handoff.
 </li>
 <li>
 Design and ship agentic systems on the Agentforce platform: agent logic, tool calls, multi-agent orchestration, deterministic guardrails, and the integration patterns that hold up in enterprise environments. Your reference implementations become the basis for how other Builders approach similar problems.
 </li>
 <li>
 Own the data lifecycle: model design, processing pipelines, and data readiness for AI applications across Salesforce Data 360, Snowflake, Databricks, and customer-specific platforms.
 </li>
 <li>
 Resolve the technical blockers that other engineers can't &mdash; data integration failures, model deployment issues, orchestration breakdowns, performance regressions. These problems are routed to you because of your track record of solving them.
 </li>
 <li>
 Build and maintain agent performance dashboards and customer KPI reporting to track deployment health and business outcomes across engagements.
 </li>
 <li>
 Develop proofs-of-concept and MVPs quickly, with the judgment to know which decisions can be deferred and which need to be right the first time.
 </li>
 <li>
 Codify what you learn. The patterns, reusable assets, and internal frameworks that come out of your real customer work become the playbooks the rest of the org draws from.
 </li>
 <li>
 Mentor other Engineers through code reviews, pair sessions, and shared work. Most of your influence on developing engineers happens inside the same codebases you're building in.
 </li>
 <li>
 Provide technical depth on at-risk or strategically critical deployments when senior engineering judgment is needed.
 </li>
 <li>
 Surface field insights directly to Product and Engineering. The gaps and edge cases you encounter in real customer environments are some of the most valuable inputs to the Agentforce roadmap.
 </li>
 <li>
 Partner with the Deployment Strategist on your team to translate complex customer business challenges into agentic solutions that actually ship.
 
 
 </li>
 </ul>
 
 You're Our Senior Forward Deployed Engineer If&hellip;
 
 
 
 <ul>
 <li>
 You have 6+ years of software engineering or technical delivery experience, with proven end-to-end ownership of scalable production systems in enterprise AI, cloud, or SaaS environments.
 </li>
 <li>
 You have a degree in Computer Science or a related field
 </li>
 <li>
 You're an expert in at least one of Python, JavaScript/TypeScript, Java, or Apex, and conversant in the others.
 </li>
 <li>
 You've integrated LLMs into production, used frameworks like LangChain or LlamaIndex, and applied prompt engineering and responsible AI practices in real customer contexts.
 </li>
 <li>
 You have deep experience in data modeling, processing, and analytics, with demonstrable proficiency across platforms like Salesforce Data 360, Snowflake, or Databricks.
 </li>
 <li>
 You bring deep Salesforce platform expertise: Agentforce, Apex, LWC, Flows, and Salesforce APIs.
 </li>
 <li>
 You have an entrepreneurial, get-things-done mindset focused on fast, impactful delivery &mdash; and the judgment to know when "fast" is the wrong call.
 </li>
 <li>
 You've mentored technical talent and created reusable assets &mdash; frameworks, playbooks, internal tooling.
 </li>
 <li>
 You communicate clearly and credibly with engineering peers, customer architects, and executive stakeholders.
 </li>
 <li>
 You actively tinker with the evolving AI/data landscape &mdash; piloting new tools, experimenting with new models, and staying genuinely curious about what's coming next.
 </li>
 <li>
 Ability to travel to customer sites as needed to ensure client success
 </li>
 <li>
 Business level proficiency in Arabic and English
 </li>
 <li>
 Computer Science (CS) degree or related.
 
 
 </li>
 </ul>
 
 Nice-to-Haves
 
 
 
 <ul>
 <li>
 Salesforce certifications (Administrator, Platform Developer I/II, Agentforce Specialist, System Architect)
 </li>
 <li>
 Familiarity with DevOps/CI-CD practices, observability tooling, or data governance frameworks
 </li>
 <li>
 Experience architecting multi-cloud, multi-system enterprise AI solutions for Global 500 customers
 </li>
 <li>
 Track record of influencing enterprise software product roadmaps through field engineering insight
 </li>
 <li>
 Open-source contributions, published technical writing, or conference presentations
 
 
 </li>
 </ul>
 Unleash Your Potential
 
 
 When you join Salesforce, you&rsquo;ll be limitless in all areas of your life. Our benefits and resources support you to find balance and
 
 be your best
 
 , and our AI agents accelerate your impact so you can
 
 do your best
 
 . Together, we&rsquo;ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future &mdash; but to redefine what&rsquo;s possible &mdash; for yourself, for AI, and the world.
 
 
 Accommodations
 
 
 If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.
 
 
 Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates&rsquo; resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.
 
 
 Posting Statement
 
 
 Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that&rsquo;s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications &ndash; without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
</div>

Forward Deployed Engineer, Arabic Speaking

DICETEK LLC

<div>Technical Skills:- 
Senior, hands-on engineer who ships, with recent production AI delivery experience.<ul><li>Production LLM and agentic AI: RAG, orchestration and multi-step agent workflows.</li><li>MLOps depth: CI/CD, model registries, monitoring and evaluation pipelines.</li><li>Strong Python and modern software-engineering practice.</li><li>Consulting-adjacent skills to work with non-technical operational stakeholders, identify the real problem and manage
</li></ul>delivery end to end.<ul><li>Self-driven with minimal direction: scope the work, set the plan and drive it to production without waiting for a brief.</li><li>Technical leadership without formal authority across engineers, analysts and operational staff; ability to set adopted
</li></ul>standards and influence senior stakeholders.<ul><li>Strong product mindset: user feedback, feature prioritization, technical trade-offs and adoption.</li><li>Deep AI evaluation expertise: groundedness, hallucination detection, task success, latency, safety, business KPIs, A/B
</li></ul>testing and continuous regression testing.
Production AI cost optimization: model selection/routing, prompt and token optimization, caching and inference-cost management.
NICE-TO-HAVES<ul><li>Domain exposure to container terminals, maritime logistics, free zones or freight operations, including TOS data, gate and yard processes, customs/trade documentation, or warehouse/contract-logistics workflows.</li><li>GCC or comparable multi-country regional experience; Arabic is a plus.</li><li>Platform engineering or developer-experience background, including internal tooling adopted by other engineers.</li></ul></div>

Senior AI Forward Deployed Engineer

Peloton WorkReady

We Are Hiring Nozzleman!Are you an experienced Nozzleman with expertise in spray applied fireproofing systems? We are seeking skilled professionals to join our clients' workforce and support the application of passive fire protection systems for commercial and industrial construction projects.In this role, you will be responsible for applying spray applied fire resistive materials (SFRM) to structural steel, operating spray equipment, and ensuring fireproofing applications meet project specifications and quality standards. The ideal candidate has strong experience with fireproofing systems, excellent attention to detail, and a commitment to safe and high quality workmanship.Qualifications &amp; Experience:<ul><li>At least 5 years of experience in the application of spray applied fire resistive materials (SFRM) to structural steel, including vermiculite based fireproofing systems.</li><li>Proven experience as a Nozzleman applying SFRM or similar spray applied fire protection systems.</li><li>Experienced in operating spray equipment, including pumps, hoses, nozzles, and associated application systems.</li><li>Ability to set up and maintain consistent spray quality, material thickness, and surface finish throughout the application process.</li><li>Experience working with fireproofing products such as Isolatek, CAFCO, Monokote, or similar products is preferred.</li><li>Strong understanding of material density, yield calculations, and fireproofing material performance.</li><li>Ability to consistently achieve specified coating thicknesses and finishes in accordance with project requirements.</li><li>Experience operating continuous mixers and high output pump systems.</li><li>Ability to read construction drawings and follow fireproofing thickness schedules accurately.</li></ul>Must-Have Requirements:<ul><li>With a valid passport.</li><li>Must either be exempt from the English language test or have passed an English test (IELTS or PTE Academic).</li><li>Effective communication skills, both verbal and written.</li><li>Must possess a valid driver's license and be able to drive a four wheeled vehicle.</li></ul>Submit your updated CV or resume through this link: https://bit.ly/PWRApplyTodayReminder:We will respond only if your current work experience, industry, and qualifications match our clients' requirements.FOR MANPOWER POOLING ONLY, NO FEES IN ANY FORM AND/OR PURPOSE WILL BE COLLECTED FROM THE APPLICANTS. BEWARE OF ILLEGAL RECRUITERS AND HUMAN TRAFFICKERS.Company DescriptionPeloton WorkReady has successfully placed over 13,000 skilled workers in various locations around the world since 2004, with around 12,000 placements in Australia. As a preferred firm for skilled workers actively seeking employment globally, we take pride in our no fee policy. We believe that no candidate should pay to secure employment, and thus, we do not charge any fees or recover any expenses from our candidates.#PelotonWorkReadyDubai #TransformingLives #Hiring #Nozzleman #Fireproofing #PassiveFireProtection #SFRM #StructuralSteel #ConstructionJobs #SkilledTrades #JobOpening #ApplyNow #CareerOpportunity #WorkWithUs #EthicalRecruitmentJob Type: Full-timeWork Location: In person

Nozzleman

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>
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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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