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ai engineer

Capital Technology Solutions

Company: Capital Technology Solutions Location: DohaAbout CTSCapital Technology Solutions (CTS) is a technology-driven company delivering innovative solutions in Artificial Intelligence, Data Analytics, Business Automation, Digital Transformation, Robotics and Cloud. CTS partners with global technology leaders including Microsoft, Google, UiPath, SolarWinds, Etc&hellip; to design next-generation enterprise solutions for government, healthcare, banking, education, retail, and smart infrastructure sectors.We are looking for a highly skilled and innovation-driven AI Engineer to design, develop, deploy, and optimize AI-powered enterprise solutions aligned with CTS offerings and strategic initiatives.Position SummaryThe AI Engineer will be responsible for developing intelligent applications and enterprise AI solutions using Machine Learning, Generative AI, Agentic AI, Automation, and Cloud AI services. The role involves working closely with solution architects, developers, and occasionally with clients to deliver scalable and secure AI solutions.The ideal candidate should have strong expertise in AI/ML frameworks, LLMs, cloud-native AI services, automation platforms, and enterprise integration architectures.Key ResponsibilitiesAI &amp; Machine Learning Development<ul><li>Design, develop, train, and deploy AI/ML models for enterprise use cases.</li><li>Build Generative AI and Agentic AI applications using modern LLM frameworks.</li><li>Develop AI-powered chatbots, copilots, recommendation systems, and predictive analytics solutions.</li><li>Implement NLP, computer vision, and intelligent automation solutions.</li><li>Optimize model performance, scalability, and inference efficiency.</li></ul>Cloud &amp; Data Engineering<ul><li>Develop AI solutions on Microsoft Azure AI and cloud-native AI platforms.</li><li>Work with large-scale datasets using Databricks and modern data engineering pipelines.</li><li>Integrate AI services with APIs, databases, enterprise applications, and cloud platforms.</li><li>Collaborate with infrastructure teams for GPU, storage, and AI workload optimization.</li></ul>Automation &amp; Intelligent Workflows<ul><li>Integrate AI with UiPath RPA and workflow automation solutions.</li><li>Build AI-driven business process automation and intelligent document processing solutions.</li><li>Develop autonomous AI agents and orchestration workflows.</li></ul>Solution Architecture &amp; Client Engagement<ul><li>Participate in solution design workshops and technical presentations.</li><li>Translate customer business challenges into AI-driven solutions.</li><li>Support proposal preparation, PoCs, demos, and pilot implementations.</li><li>Collaborate with sales and business teams during pre-sales engagements.</li></ul>Security, Governance &amp; Compliance<ul><li>Implement responsible AI, AI governance, and security best practices.</li><li>Ensure compliance with cybersecurity, privacy, and data governance standards.</li><li>Collaborate with CTS cybersecurity teams for secure AI deployment architectures.</li></ul>Research &amp; Innovation<ul><li>Stay updated with latest AI trends, LLM ecosystems, AI frameworks, and enterprise AI platforms.</li><li>Evaluate emerging technologies and recommend innovative solutions aligned with CTS strategy.</li><li>Contribute to CTS IP development, accelerators, and reusable AI frameworks.</li></ul>Required Qualifications<ul><li>Bachelor&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or related field.</li><li>Around 3 years of experience in AI/ML engineering or related roles.</li><li>Strong programming skills in Python.</li><li>Experience with AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, LangChain, or similar.</li><li>Hands-on experience with LLMs, Generative AI, RAG architectures, and AI agents.</li><li>Experience with cloud platforms, preferably Microsoft Azure.</li><li>Knowledge of REST APIs, microservices, Docker, and Kubernetes.</li><li>Experience with SQL, NoSQL, and data engineering concepts.</li><li>Understanding of MLOps and CI/CD pipelines for AI deployments.</li></ul>Preferred Skills<ul><li>Experience with Microsoft Azure OpenAI Service.</li><li>Experience with Databricks Mosaic AI.</li><li>Knowledge of cybersecurity principles for AI systems.</li><li>Experience integrating AI with enterprise ERP, HIS, CRM, or banking platforms.</li><li>Familiarity with intelligent robotics and AI-human interaction systems.</li><li>Certifications in Azure AI, Data Engineering, or Machine Learning are an advantage.</li></ul>Key Competencies<ul><li>Strong analytical and problem-solving skills</li><li>Innovation and research mindset</li><li>Client-facing communication and presentation skills</li><li>Ability to work independently and collaboratively</li><li>Solution-oriented thinking</li><li>Strong documentation and reporting skills</li><li>Adaptability to emerging technologies</li></ul>Industries &amp; Use CasesThe AI Engineer will contribute to solutions across:<ul><li>Smart Government</li><li>Healthcare &amp; HIS Optimization</li><li>Banking &amp; Financial Services</li><li>Smart Retail</li><li>Education</li><li>Smart Cities &amp; Infrastructure</li><li>Robotics &amp; Intelligent Automation</li><li>Cybersecurity &amp; SOC Automation</li></ul>What CTS Offers<ul><li>Opportunity to work on cutting-edge AI and digital transformation projects.</li><li>Exposure to enterprise-scale cloud and AI technologies.</li><li>Collaboration with leading global technology partners.</li><li>Innovation-driven work culture.</li><li>Career growth in emerging technologies and enterprise AI.</li></ul>Employment Type<ul><li>Full-Time</li></ul>Experience Level<ul><li>Mid-Level / Senior-Level</li></ul>Preferred Location<ul><li>Qatar</li></ul>Joining<ul><li>Immediate / As per availability</li></ul>Job Types: Full-time, PermanentWork Location: In person

AI Engineer

Parsons

<div>In a world of possibilities, pursue one with endless opportunities. Imagine Next! 

At Parsons, you can imagine a career where you thrive, work with exceptional people, and be yourself. Guided by our leadership vision of valuing people, embracing agility, and fostering growth, we cultivate an innovative culture that empowers you to achieve your full potential. Unleash your talent and redefine what&rsquo;s possible. 
Job Description:
AI Specialist &ndash; Operational Digital Twin
Parsons is seeking an AI Specialist to support the end-to-end delivery of a large-scale Geospatial Digital Twin programme for a major national infrastructure owner in the Middle East. This multi-year initiative will design, build, and operationalize an Operational Digital Twin platform that integrates geospatial data, real-time IoT/SCADA feeds, asset information, and core enterprise systems to enable data-driven planning, operations, and maintenance. The role will work closely with the Software Development Lead, Data &amp; Architecture team, and a team of international experts, developers, and engineers.
The scope spans discovery and stakeholder engagement, AI assistant and use‑case design, proof-of-concept delivery, implementation of a production-grade environment, post-implementation support, and structured training and knowledge transfer. The AI Specialist will help design, implement, and train Large Language Models to operate as an AI Assistant to the Geospatial Digital Twin in a fully isolated environment (no internet connectivity), support data preparation and prompt/interaction design, contribute to testing and performance tuning, and assist in ensuring that AI capabilities are robust, secure, and aligned with key Digital Twin use cases.
What You&rsquo;ll Be Doing<ul><li>
Support the Software Development Lead and Data &amp; Architecture team in designing the AI Assistant architecture for the Operational Digital Twin, including selection and deployment of LLM models in an isolated environment</li><li>
Assist in preparing and curating training and grounding data (including documentation, schemas, geospatial and asset context) required for LLM fine‑tuning or domain adaptation, ensuring compliance with security and data-governance requirements</li><li>
Help implement, fine‑tune, and evaluate LLMs to support Digital Twin use cases (e.g., natural language querying of geospatial/asset data, explaining map views, guiding workflows, and answering &ldquo;how-to&rdquo; and operational questions) without any internet connectivity</li><li>
Support integration of the AI Assistant with the Digital Twin platform and enterprise systems, including design of prompt pipelines, tools/function-calling, and retrieval-augmented generation using internal data sources</li><li>
Assist in implementing monitoring, evaluation, and guardrails for AI Assistant behaviour (e.g., response quality, safety, hallucination reduction), and in troubleshooting issues related to accuracy, performance, and user experience</li><li>
Help prepare documentation and usage guidelines for the AI Assistant, support demonstrations and user-training sessions, and contribute to knowledge transfer and handover to client and operations teams</li></ul>
What Required Skills You&rsquo;ll Bring<ul><li>
Degree in computer science, data science, AI, engineering, or a related technical discipline from an accredited institution</li><li>
Experience implementing AI/ML solutions with a strong focus on Large Language Models, using tools and frameworks such as , , , or similar</li><li>
Working knowledge of LLM concepts and techniques, including fine‑tuning, prompt engineering, retrieval‑augmented generation, and evaluation of model outputs</li><li>
Experience deploying models in controlled or air‑gapped/on‑premises environments, with an understanding of constraints associated with no internet connectivity</li><li>
Basic understanding of geospatial and asset/operations data, or demonstrated ability to rapidly learn domain structures and incorporate them into AI solutions</li><li>
Exposure to integrating AI services with applications and APIs (e.g., wrapping models as services, tool/function-calling, or chat-oriented interfaces)</li><li>
Experience working within multidisciplinary, multinational teams across multiple time zones</li><li>
Strong organisational and coordination skills, with some experience in structured project or delivery environments (e.g., PMI, PRINCE2, Agile/Hybrid)</li><li>
Excellent communication and documentation skills, with the ability to clearly explain AI concepts, limitations, and results to non‑technical stakeholders</li><li>
Fluency in spoken and written English; Arabic language skills are a strong advantage</li></ul>
What Desired Skills You&rsquo;ll Bring<ul><li>
Prior work with national infrastructure owners, transport authorities, utilities, or public works organisations</li><li>
Professional certifications in data science, AI, or cloud data/AI services</li></ul>
Parsons equally employs representation at all job levels no matter the race, color, religion, sex (including pregnancy), national origin, age, disability or genetic information.
We truly invest and care about our employee&rsquo;s wellbeing and provide endless growth opportunities as the sky is the limit, so aim for the stars! Imagine next and join the Parsons quest&mdash;APPLY TODAY!<div>
Parsons is aware of fraudulent recruitment practices. To learn more about recruitment fraud and how to report it, please refer to https://www.parsons.com/fraudulent-recruitment/.</div></div>
 <div><div><div>COMPETITIVE BENEFIT OFFERINGS</div></div><div><div><div> 
Financial Wellness</div><div> 
We care about your financial wellbeing. Parsons offers competitive pay and retirement plans to help you build wealth for the future while giving you the flexibility to diversify your investments.</div></div><div><div>
Work Life Harmony</div><div> 
Balance in life is important and time away from the office is imperative to allow you to refresh and focus your attention on the things that matter to you. Parsons supports your time away by providing paid time off and paid flexible holidays.</div></div><div><div>
Career Development</div><div> 
We are committed to fostering the personal and professional growth of our employees. Develop and advance yourself though our comprehensive training, educational and mentorship programs.</div></div><div><div> 
Veteran Support</div><div> 
We provide Industry leading benefits to support veterans and active-duty members to provide security for you and your family by offering robust leave and benefits; including paid active-duty military leave and paid time off when transitioning back to civilian life.</div></div><div><div>
Mind &amp; Body</div><div> 
At Parsons we inspire healthier habits, heathier minds, and a healthier you through our wellness program. Participate in our weekly Meditation Mondays and Wellness Wednesdays. Wellness, at Parsons, is more than just your annual checkup.</div></div><div><div>
Health</div><div> 
Health is not a one size fits all. At Parsons, we offer a robust Employee Assistance Program as well as comprehensive medical, dental and vision plans through large, national carriers with the choice of regional PPO, HDHP, or HMO networks.</div></div></div></div>

AI Specialist – Operational Digital Twin

Scale AI

<div>
 Role Overview
 
 
 Scale&rsquo;s rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of:
 
 
 <ul>
 <li>
 Creating custom AI applications that will impact millions of citizens
 </li>
 <li>
 Generating high-quality training data for national LLMs
 </li>
 <li>
 Upskilling and advisory services to spread the impact of AI
 
 
 </li>
 </ul>
 As a Production AI Ops Lead, you will design and develop the production lifecycle of full-stack AI applications, while supporting end-to-end system reliability, real-time inference observability, sovereign data orchestration, high-security software integration, and the resilient cloud infrastructure required for our international government partners.
 
 
 At Scale, we&rsquo;re not just building AI solutions&mdash;we&rsquo;re enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you&rsquo;re ready to shape the future of AI in the public sector and be a founding member of our team, we&rsquo;d love to hear from you.
 
 
 
 You will:
 
 
 
 <ul>
 <li>
 Own the production outcome: Take full accountability for the long-term performance and reliability of AI use cases deployed across international government agencies.
 </li>
 <li>
 Ensure Full-Stack integrity: Oversee the end-to-end health of the platform, ensuring seamless integration between the AI core and all full-stack components, from APIs to UI, to maintain a responsive and production-ready environment.
 </li>
 <li>
 Scale the feedback loop: Build automated systems to monitor model performance and data drift across geographically dispersed environments, ensuring the right levels of reliability.
 </li>
 <li>
 Navigate global compliance: Manage the technical lifecycle within diverse regulatory frameworks.
 </li>
 <li>
 Incident command: Lead the response for production issues in mission-critical environments, ensuring rapid resolution and building the guardrails to prevent them from happening again.
 </li>
 <li>
 Bridge the gap: Translate deep technical performance metrics into clear insights for senior international government officials.
 </li>
 <li>
 Drive product evolution: Partner with our Engineering and ML teams to ensure the lessons learned in the field directly influence the technical architecture and decisions of future use cases.
 
 
 </li>
 </ul>
 
 Ideally, you have:
 
 
 
 <ul>
 <li>
 Experience: 6+ years in a high-impact technical role (SRE, FDE or MLOps) with experience in the public sector.
 </li>
 <li>
 Global perspective: Familiarity with international government security standards and the complexities of deploying sovereign AI.
 </li>
 <li>
 System architecture proficiency: Proven experience maintaining production-grade applications with a deep understanding of the full request lifecycle-connecting frontend/API layers to the backend and AI core.
 </li>
 <li>
 Modern AI Stack expertise: Proficiency in coding and the modern AI infrastructure, including Kubernetes, vector databases, agentic development, and LLM observability tools.
 </li>
 <li>
 Ownership: You treat every production deployment as your own. You race toward solving hard problems before the customer even sees them.
 </li>
 <li>
 Reliability: You understand that in the public sector, a model failure may be a risk to public safety or privacy.
 </li>
 <li>
 Customer communication: The ability to explain to a high-ranking official why the performance of the system has degraded and how we are fixing it.
 
 
 </li>
 </ul>
 
 
 PLEASE NOTE:
 
 
 
 Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
 
 
 
 
 About Us:
 
 
 
 
 At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta,
 
 
 Ernst
 
 
 &amp;
 
 
 Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
 
 
 
 
 We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
 
 
 
 
 We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's
 
 
 Know Your Rights poster
 
 
 for additional information.
 
 
 
 
 We comply with the United States Department of Labor's
 
 
 Pay Transparency provision
 
 
 .
 
 
 
 
 
 PLEASE NOTE:
 
 We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants&rsquo; needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
 
</div>

AI Applications Ops Lead, GPS

BRAIN

<div>IT Support Engineer &mdash; Part-Time MENA
About Brain Co.
Brain Co. is an applied AI startup co-founded by Jared Kushner and Elad Gil, backed by leading Silicon Valley builders including Patrick Collison and Andrej Karpathy. We build AI applications for governments, healthcare systems, and critical industries.<ul><li>
Automated construction permitting for a sovereign government 80% faster, unlocking $375M+ in value</li><li>
Optimized supply chains for a global energy company 30% lower cost, preventing $100M+ in losses</li><li>
Streamlined hospital patient care 40% better outcomes, 80% less admin work</li><li>
$55M Series A &middot; 70+ person team from Tesla, Google DeepMind, NVIDIA, and Databricks</li></ul>
The Role
As our part-time IT Support Engineer, you&rsquo;ll be the frontline of our IT operations &mdash; keeping a fast-growing team unblocked while supporting the corporate security programs that keep Brain Co. safe. You&rsquo;ll own help desk, onboarding, offboarding, and access requests, working closely with the Security &amp; IT team. There&rsquo;s room to grow into a full-time role as the team scales.
What You&rsquo;ll Work On
Help Desk &amp; Employee Support<ul><li>
First-line IT support for a 70+ person team &mdash; hardware, software, and account issues</li><li>
On-site and remote support across macOS and Windows</li><li>
Maintain runbooks and self-service resources to reduce repeat requests</li></ul>
Onboarding<ul><li>
Own Day 1 setup end-to-end: accounts, devices, and Okta provisioning</li><li>
Execute provisioning workflows and fulfill access requests per our access entitlement model</li><li>
Coordinate with HR and hiring managers on start dates and equipment needs</li></ul>
Offboarding<ul><li>
Run offboarding on last days: disable accounts, revoke access, recover equipment</li><li>
Keep offboarding logs accurate and audit-ready for SOC 2</li></ul>
Access Requests<ul><li>
Own the access request queue and fulfill approved requests within our 2-hour SLA</li><li>
Route Tier 2/3 requests to the right approvers and track to resolution</li></ul>
AV, Network &amp; MENA Offices<ul><li>
Support conference room AV across office locations &mdash; setup, troubleshooting, and keeping meetings running</li><li>
Help maintain office network infrastructure and troubleshoot connectivity issues</li><li>
Serve as the IT point-of-contact for our MENA offices &mdash; remote support, new hire setup, and hardware logistics</li></ul>
You Might Be a Great Fit If You&hellip;<ul><li>
Have 2+ years of IT support or helpdesk experience, ideally at a startup</li><li>
Are comfortable in Okta &mdash; provisioning, groups, and SSO troubleshooting</li><li>
Have run onboarding and offboarding workflows and understand the security stakes</li><li>
Are organized and dependable &mdash; you juggle open requests without dropping the ball</li><li>
Communicate clearly with non-technical employees</li><li>
Work independently and surface issues proactively</li></ul>
Bonus points for:<ul><li>
Google Workspace administration</li><li>
MDM experience (Jamf, Kandji)</li><li>
SOC 2 access control or IT audit exposure</li><li>
Basic scripting (Python, Bash)</li></ul>
Why Join Us<ul><li>
Real ownership from day one &mdash; you&rsquo;ll run IT operations, not just execute tickets</li><li>
Work at a company deploying AI to governments, hospitals, and critical industries</li><li>
Flexible part-time hours (~20 hrs/week) with potential to grow into a full-time role</li><li>
Competitive hourly compensation</li></ul></div>

IT Support Engineer, MENA

<div>
 Scale&rsquo;s rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of:
 
 
 <ul>
 <li>
 Creating custom AI applications that will impact millions of citizens
 </li>
 <li>
 Generating high-quality training data for national LLMs
 </li>
 <li>
 Upskilling and advisory services to spread the impact of AI
 
 
 </li>
 </ul>
 As a DevOps Engineer, you will design and develop core platforms and software systems, while supporting orchestration, data abstraction, data pipelines, identity &amp; access management, security tools, and underlying cloud infrastructure.
 
 
 At Scale, we&rsquo;re not just building AI solutions&mdash;we&rsquo;re enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you&rsquo;re ready to shape the future of AI in the public sector and be a founding member of our team, we&rsquo;d love to hear from you.
 
 
 
 You will:
 
 
 
 <ul>
 <li>
 Backend Development and System Ownership: Design and implement secure, scalable backend systems for customers using modern, cloud-native AI infrastructure. Own services or systems, define long-term health goals, and improve the health of surrounding components.
 </li>
 <li>
 Collaboration and Standards: Collaborate with cross-functional teams to define and execute backend and infrastructure solutions tailored for secure environments. Enhance engineering standards, tooling, and processes to maintain high-quality outputs.
 </li>
 <li>
 Infrastructure Automation and Management: Write, maintain, and enhance Infrastructure as Code templates (e.g., Terraform, CloudFormation) for automated provisioning and management. Manage networking architecture, including secure VPCs, VPNs, load balancers, and firewalls, in cloud environments.
 </li>
 <li>
 Deployment and Scalability: Design and optimize CI/CD pipelines for efficient testing, building, and deployment processes. Scale and optimize containerized applications using orchestration platforms like Kubernetes to ensure high availability and reliability.
 </li>
 <li>
 Disaster Recovery and Hybrid Strategies: Develop and test disaster recovery plans with robust backups and failover mechanisms. Design and implement hybrid and multi-cloud strategies to support workloads across on-premises and multiple cloud providers.
 
 
 </li>
 </ul>
 
 Ideally you&rsquo;d have:
 
 
 
 <ul>
 <li>
 A strong engineering background, with a Bachelor&rsquo;s degree in Computer Science, Mathematics, or a related quantitative field (or equivalent practical experience)
 </li>
 <li>
 5+ years of post-graduation engineering experience, with a focus on back-end systems and proficiency in at least one of Python, Typescript, Javascript, or C++
 </li>
 <li>
 Extensive experience in software development and a deep understanding of distributed systems and public cloud platforms (AWS and Azure preferred)
 </li>
 <li>
 Track record of independent ownership of successful engineering projects
 </li>
 <li>
 Experience working fluently with standard containerization &amp; deployment technologies like Kubernetes, Terraform, Docker, etc.
 </li>
 <li>
 Strong knowledge of software engineering best practices and CI/CD tooling (CircleCI, Github Actions)
 </li>
 <li>
 Solid foundation and real-world experience in network engineering
 
 
 </li>
 </ul>
 
 Nice to haves:
 
 
 
 <ul>
 <li>
 Experience working cross functionally with operations
 </li>
 <li>
 Experience building solutions with LLMs and a deep understanding of the overall Gen AI landscape
 </li>
 <li>
 Experience with data warehouses (Snowflake, Firebolt) and data pipeline/ETL tools (Dagster, dbt)
 </li>
 <li>
 Experience with authentication/authorization systems (Zanzibar, Authz, etc.)
 </li>
 <li>
 Experience with NoSQL document databases (MongoDB) and structured databases (Postgres)
 </li>
 <li>
 Experience with hybrid or on-prem systems
 </li>
 <li>
 Experience with orchestration platforms, such as Temporal and AWS Step Functions
 
 
 </li>
 </ul>
 
 
 PLEASE NOTE:
 
 
 
 Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
 
 
 
 
 About Us:
 
 
 
 
 At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta,
 
 
 Ernst
 
 
 &amp;
 
 
 Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
 
 
 
 
 We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
 
 
 
 
 We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's
 
 
 Know Your Rights poster
 
 
 for additional information.
 
 
 
 
 We comply with the United States Department of Labor's
 
 
 Pay Transparency provision
 
 
 .
 
 
 
 
 
 PLEASE NOTE:
 
 We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants&rsquo; needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
 
</div>

DevOps Engineer, GPS

CV Sumber Daya Global

Job Opportunity: Lab EngineerWe are seeking a dedicated and detail-oriented Lab Engineer for our laboratory operations. The ideal candidate will ensure that all laboratory practices, procedures, and results comply with established standards, regulations, and client requirements.Position: Lab EngineerA Lab Engineer is responsible for managing, maintaining, and supporting laboratory equipment, experiments, and technical operations.Location: Doha, QatarEmployment Type: Full-time<ul><li>Salary: will be commensurate with experience and qualifications</li></ul>Qualification:<ul><li>Bachelor&rsquo;s Degree in Civil Engineering or Geology</li><li>Minimum 4 years in the material testing laboratory field</li></ul>Application:Interested candidates should send their CV (clearly highlighting your working experience) and cover letter.Job Type: Full-timeEducation:<ul><li>Diploma (Preferred)</li></ul>Experience:<ul><li>Material Testing Laboratory: 4 years (Preferred)</li><li>Lab Engineer: 4 years (Preferred)</li></ul>Work Location: In person

Lab Engineer

Telloric

Telloric (https://telloric.com) is looking for a growth-focused AI Product Marketing Expert to drive user acquisition and revenue. This is a commission-based role with uncapped earning potential, work can be done remotely or in-person as needed.Key ResponsibilitiesGrowth Marketing: Run campaigns to acquire customers for our AI platform.Localization: Create marketing materials in both English and Arabic.Lead Generation: Execute performance ads, outbound, and organic growth.RequirementsAI Marketing: Experience marketing AI products or tech solutions.Bilingual: Professional fluency in both English and Arabic.Driven: Thrives in a high-reward, commission-only structure.BenefitsUncapped Commission: Earn a high percentage of every sale you generate.Flexible Location: Hybrid setup with remote options and in-person collaboration when required.ApplySend your resume through Email or WhatsApp71818447novastackqa@gmail.comWork Location: Hybrid remote in Doha

AI Product Marketing Expert (English/Arabic)

Explore 60+ Ai engineer in Doha this June. Find roles across top companies and apply now to boost your career.