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applied ai engineer, global public sector Jobs in Doha

machine learning engineer

Scale AI

<div>
 Scale&rsquo;s mission is to develop reliable AI systems for the world's most important decisions. 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>
 Scale is hiring ML Research Engineers to bridge the gap between emerging AI capabilities and mission-critical, real-world impact. In our Global Public Sector (GPS) division, we don&rsquo;t just implement tools; we conduct applied research to solve the unique challenges of sovereign AI.
 
 
 Your role is to move beyond off-the-shelf implementations. You will lead the research into Agent Design, Reliability, and AI Safety, developing novel system architectures that power high-stakes government applications. You will be the bridge between a research paper and a production-ready system that functions at scale.
 
 
 
 The Mission
 
 
 
 <ul>
 <li>
 Applied Agent Research: Leading the design of reliable, multi-step agentic systems and long-horizon reasoning frameworks that can solve complex problems for national security and public policy.
 </li>
 <li>
 Systemic Evaluation &amp; Red-Teaming: Developing rigorous benchmarks and evaluation protocols to ensure AI systems are safe, unbiased, and performant in high-stakes, non-commercial environments.
 </li>
 <li>
 Model Optimisation &amp; Selection: Conducting deep-dive research into model performance (both open-weight and closed) to identify the best tools for niche domains, optimising them through context engineering, RAG, and other inference-time techniques.
 
 
 </li>
 </ul>
 
 What You Will Do
 
 
 
 <ul>
 <li>
 Architect Agentic Systems: Design and build agent architectures, the harnesses, tool-use protocols, and logic flows that allow LLMs to function as reliable, autonomous agents in complex workflows.
 </li>
 <li>
 Drive Reliability &amp; Safety: Research and implement robust evaluation frameworks. This includes red-teaming for sovereign AI requirements and developing strategies to mitigate hallucinations in regulated data environments.
 </li>
 <li>
 Synthesise Deep Research: Build agents capable of autonomous information synthesis and long-horizon reasoning, enabling users to analyse massive datasets and extract actionable insights.
 </li>
 <li>
 Optimize for Niche Domains: Evaluate and adapt models for specialised use cases, such as LLM reasoning for low-resource languages, complex OCR tasks, or working in GPU-constrained environments
 </li>
 <li>
 Build Evaluation Frontiers: Create new, automated benchmarks that define what success looks like for AI in the public sector, ensuring our systems meet the highest standards of accuracy and sovereignty.
 </li>
 <li>
 Consult as a Technical Authority: Act as a subject matter expert for public sector leaders, advising on the practical limits, safety requirements, and performance trade-offs of emerging AI technologies.
 
 
 </li>
 </ul>
 
 Ideally, You Have
 
 
 
 <ul>
 <li>
 Engineering Rigour: Exceptional proficiency in Python and experience building agentic harnesses or AI infrastructure. You write production-ready code that is modular, scalable, and reliable.
 </li>
 <li>
 Applied Research Mindset: A track record of taking theoretical AI concepts and turning them into functional prototypes or products. You know how to read a paper and determine if its methods are actually viable for a production system.
 </li>
 <li>
 Evaluation Expertise: Experience in LLM benchmarking, red-teaming, or building evaluations that go beyond standard academic datasets.
 </li>
 <li>
 Advanced Degree: A Master&rsquo;s or PhD in Computer Science, Mathematics, or a related field (with a focus on ML) is preferred, but we value demonstrated impact and engineering excellence.
 
 
 </li>
 </ul>
 
 Nice to Haves
 
 
 
 <ul>
 <li>
 Agentic Systems Expert: Deep experience in building multi-agent systems, including chain-of-thought optimisation and tool-calling reliability.
 </li>
 <li>
 Sovereign AI Experience: Experience working with highly regulated data environments, on-premise deployments, or sensitive government use cases.
 </li>
 <li>
 Inference Optimisation: Knowledge of how to optimise model performance for environments with limited GPU capacity or specific latency requirements.
 </li>
 <li>
 Zero-to-One Mindset: You are comfortable navigating ambiguity and enjoy defining research directions from scratch to solve a specific product or mission need.
 
 
 </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>

Machine Learning Engineer, Global Public Sector

<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>
 We are hiring Applied AI Engineers to build custom end-to-end AI applications for our public sector clients using the latest developments in the field of AI. You will also get the opportunity to develop and be part of creating custom datasets, evaluations, and fine-tuning these sophisticated models to maximize performance and apply on real world use cases with global reach.
 
 
 At Scale, we&rsquo;re not just building AI solutions&mdash;we are building repeatable blocks to enable 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 member of our rapidly expanding team, we&rsquo;d love to hear from you.
 
 
 
 You will:
 
 
 
 <ul>
 <li>
 Partner with public sector clients to deeply understand their challenges and define AI-driven solutions
 </li>
 <li>
 Build and deploy end-to-end AI applications into production leveraging latest developments from the biggest AI labs, and open source models
 </li>
 <li>
 Collaborate with cross-functional teams, including data annotation specialists, to create high-quality training datasets
 </li>
 <li>
 Design and maintain robust evaluation frameworks to ensure the reliability and effectiveness of AI models
 </li>
 <li>
 Participate in customer engagements, including occasional travel (approximately two weeks per quarter)
 </li>
 <li>
 Contribute to the scaling of AI capabilities in the public sector through hands-on knowledge sharing
 
 
 </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>
 7+ years of post-graduation engineering experience, with demonstrated proficiency in languages such as Python, TypeScript/JavaScript, Java, or C++.
 </li>
 <li>
 2+ years of experience applying AI/ML in production environments, such as deploying deep learning solutions, building generative/agentic AI applications or setting up evaluations pipelines
 </li>
 <li>
 Familiarity with cloud-based machine learning tools and platforms (e.g. AWS, GCP, Azure)
 </li>
 <li>
 Strong problem-solving skills, with a data-driven approach to iterating on machine learning models and datasets
 </li>
 <li>
 Excellent written and verbal communication skills to collaborate effectively in a cross-functional environment
 
 
 </li>
 </ul>
 
 Nice to haves:
 
 
 
 <ul>
 <li>
 Experience working at a startup, particularly as founding engineer
 </li>
 <li>
 Experience building and deploying large-scale AI solutions
 </li>
 <li>
 Strong written and verbal communication skills to operate in a cross-functional team environment
 </li>
 <li>
 Proficiency in Arabic (if focused on language models)
 
 
 </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>

Applied AI Engineer, Global Public Sector

Confidential

Role Overview: Drive advanced analytics, predictive modeling, and machine learning initiatives to support business and operational decisions. Key Responsibilities:<ul><li>Develop predictive and statistical models</li><li>Identify trends, anomalies, and optimization opportunities</li><li>Translate data insights into actionable strategies</li><li>Support deployment of analytics solutions</li></ul> Requirements:<ul><li>Master’s or PhD in Data Science, AI, or related field</li><li>10–13+ years in advanced analytics</li><li>Strong programming (Python, AI/ML frameworks)</li></ul>

Applied Analytics Specialist

EPAM Systems

<div>We're looking for a Senior AI Engineer (Python) to join our team in Doha, Qatar, in an onsite working mode.
This role offers the opportunity to work at the forefront of AI-driven software engineering, building scalable, production-ready AI solutions and transforming development processes to an AI spec-driven model. You will design and implement architectures for high-performance AI systems, optimize operational efficiency, and contribute to building and hardening agentic workflows. You will collaborate with global engineering teams to enhance standards, security, and reliability while driving innovation across AI-enabled development workflows.
Responsibilities<ul><li>
Design and deploy token-efficient AI search and retrieval architectures optimized for relevance and latency
</li><li>Define, evolve and operationalize AI specifications and templates for feature, architecture, code, test and deployment automation
</li><li>Develop metrics and tools to measure AI-driven development efficiency, quality and accuracy
</li><li>Build and productionize end-to-end pipelines including embeddings, vector stores, retrieval frameworks, prompt engineering and LLM integrations
</li><li>Create and strengthen agentic systems to orchestrate multi-step agent behaviors for engineering workflows
</li><li>Implement operational reliability and observability frameworks including monitoring, CI/CD pipelines, version management and reproducible deployments
</li><li>Coach and mentor engineering and product teams, review designs and elevate AI engineering practices
</li><li>Establish security guardrails, input/output validation and safety mechanisms for robust AI solutions
</li></ul>Requirements<ul><li>
Bachelor&rsquo;s degree in Computer Science, Software Engineering or related field
</li><li>4+ years of experience building production-grade AI systems or 2+ years focusing on LLM/RAG solutions
</li><li>Proven experience with Retrieval-Augmented Generation (RAG) patterns, embeddings and vector databases
</li><li>Experience integrating with commercial and self-hosted LLM models
</li><li>Hands-on experience with AI agent frameworks such as LangChain or equivalent
</li><li>Strong backend engineering skills with Python as primary language and intermediate Java proficiency
</li><li>Experience with REST/gRPC APIs, containerized deployments and Kubernetes orchestration
</li><li>Familiarity with cloud services and infrastructure automation tools such as Ansible
</li><li>Strong knowledge of CI/CD processes applied to models, prompts and testing for AI-driven workflows
</li><li>Understanding of embeddings, semantic search and large-scale vector indexing
</li><li>Awareness of AI productivity tools such as GitHub Copilot, GitLab Duo or similar</li></ul>
We offer<ul><li>
Private healthcare and life insurance</li><li>
End of service gratuity</li><li>
Annual air travel tickets for expatriates</li><li>
Corporate Programs including Employee Referral Program with rewards</li><li>
Learning and development opportunities including in-house training and coaching, professional certifications, and courses</li></ul></div>

Senior AI Engineer (Python)

malomatia

<div>
 
 Job Description
 
 
 
 Must Have
 
 
 <ul>
 <li>
 3&ndash;5 years of software engineering experience, including hands-on experience building LLM or generative-AI features.
 </li>
 <li>
 Production experience with RAG pipelines, embeddings, and vector databases.
 </li>
 <li>
 Demonstrated ability to design, test, and refine prompts and orchestration logic for LLM-driven workflows.
 </li>
 <li>
 Focus on the generative-AI application layer &mdash; distinct from classical model training and MLOps.
 </li>
 <li>
 Enthusiasm for working with fast-moving generative-AI technologies.
 
 
 </li>
 </ul>
 Nice to Have
 
 
 <ul>
 <li>
 Exposure to OCI Generative AI services or other cloud AI platforms.
 </li>
 <li>
 Familiarity with agent frameworks and tool integration.
 </li>
 <li>
 Experience deploying applications to the cloud, ideally Oracle Cloud Infrastructure (OCI).
 </li>
 <li>
 Awareness of responsible-AI and safety considerations.
 </li>
 <li>
 Experience with vector database tuning and retrieval optimization.
 </li>
 <li>
 AI or cloud certifications.
 
 
 </li>
 </ul>
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Develop generative-AI features and applications using large language models and foundation-model APIs.
 </li>
 <li>
 Implement retrieval-augmented generation (RAG) pipelines, including document processing, embeddings, and vector search.
 </li>
 <li>
 Design, test, and refine prompts and orchestration logic for LLM-driven workflows.
 </li>
 <li>
 Build and integrate agentic components, tool-calling, and multi-step flows.
 </li>
 <li>
 Integrate AI capabilities into applications and services, including OCI Generative AI services.
 </li>
 <li>
 Evaluate model outputs against quality criteria and implement guardrails and validation checks.
 </li>
 <li>
 Build evaluation sets and run experiments to compare prompts, models, and configurations.
 </li>
 <li>
 Collaborate with senior AI engineers and product teams to deliver working AI features.
 </li>
 <li>
 Iterate on solutions based on evaluation results, performance, and user feedback.
 </li>
 <li>
 Document AI components, prompts, and integration patterns for maintainability.
 </li>
 <li>
 Contribute to internal reusable components and accelerators for generative-AI delivery.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, or a related field; equivalent experience accepted.
 </li>
 <li>
 Proficiency in Python and experience with LLM frameworks (e.g., LangChain, LlamaIndex) and foundation-model APIs.
 </li>
 <li>
 Working knowledge of RAG, embeddings, and vector databases.
 </li>
 <li>
 Understanding of prompt engineering and orchestration techniques.
 </li>
 <li>
 Ability to evaluate and improve the quality and reliability of AI outputs.
 </li>
 <li>
 Solid general software-engineering skills, including version control and testing.
 </li>
 <li>
 Experience integrating APIs and building application features.
 </li>
 </ul>
</div>

AI Engineer

Al Khuwair Construction

About UsAl Khuwair Construction is a leading construction and infrastructure development company specializing in residential, commercial, industrial, and civil engineering projects. We are committed to delivering high-quality construction solutions through innovation, safety, operational excellence, and sustainable growth.As part of our digital transformation strategy, we are seeking a visionary and experienced AI Technology Director to lead the adoption and implementation of artificial intelligence technologies that will enhance project delivery, operational efficiency, safety performance, and business intelligence across the organization.Position OverviewThe AI Technology Director will be responsible for developing and executing the company's AI strategy, identifying opportunities for innovation, and leading the deployment of advanced technologies across construction operations, project management, engineering, procurement, and corporate functions. This executive leadership role will work closely with senior management to drive technology-enabled growth and competitive advantage.Key Responsibilities<ul><li>Develop and implement the company's artificial intelligence and digital innovation strategy</li><li>Identify opportunities to leverage AI, machine learning, predictive analytics, automation, and data science across construction and engineering operations</li><li>Lead enterprise-wide AI initiatives that improve project planning, scheduling, resource allocation, cost management, and risk assessment</li><li>Oversee the design, development, deployment, and management of AI-powered solutions and intelligent business systems</li><li>Implement predictive analytics for project forecasting, equipment maintenance, workforce planning, and operational performance</li><li>Utilize AI technologies to enhance safety monitoring, quality assurance, and compliance management</li><li>Establish AI governance frameworks, cybersecurity standards, data privacy controls, and ethical AI practices</li><li>Collaborate with executive leadership to align technology investments with business objectives</li><li>Lead multidisciplinary teams of AI engineers, data scientists, software developers, analysts, and technology professionals</li><li>Evaluate emerging technologies, strategic partnerships, and vendor solutions</li><li>Develop advanced business intelligence platforms and reporting capabilities</li><li>Manage AI project portfolios, budgets, timelines, resources, and performance metrics</li></ul>Qualifications<ul><li>Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Information Technology, Engineering, or a related field</li><li>Master's degree, MBA, or PhD preferred</li><li>Minimum 8+ years of progressive technology leadership experience</li><li>Proven experience implementing AI, machine learning, automation, and advanced analytics solutions within enterprise environments</li><li>Strong knowledge of cloud computing, data engineering, AI platforms, enterprise systems, and cybersecurity frameworks</li><li>Experience leading digital transformation and innovation initiatives</li><li>Excellent leadership, communication, and stakeholder management skills</li><li>Strong strategic thinking, analytical, and problem-solving capabilities</li></ul>Preferred Qualifications<ul><li>Experience within construction, engineering, infrastructure, industrial services, or project-based industries</li><li>Knowledge of Building Information Modeling (BIM), construction management software, digital twins, IoT technologies, and smart construction solutions</li><li>Experience with predictive maintenance, computer vision, intelligent automation, and AI-driven project controls</li><li>Professional certifications in AI, cloud technologies, project management, cybersecurity, or data science are highly desirable</li><li>Familiarity with construction regulations, safety standards, and large-scale infrastructure projects</li></ul>What We Offer<ul><li>Competitive executive-level compensation package</li><li>Performance-based bonus opportunities</li><li>Comprehensive health and benefits program</li><li>Professional development and executive leadership growth opportunities</li><li>Innovative and technology-focused work environment</li><li>Opportunity to lead transformative AI initiatives within a growing construction organization</li><li>Direct involvement in strategic planning, digital transformation, and business innovation</li><li>Long-term career growth and leadership opportunities</li></ul>Pay: QAR45,000.00 - QAR50,000.00 per monthWork Location: In person

AI Technology Director

SAPIR Technology

Job Description: SAPIR Technology is seeking a skilled and motivated IT Technical Engineer to join our growing team. The ideal candidate will be responsible for configuring, deploying, and supporting IT infrastructure, including servers, firewalls, and network systems. This role requires strong technical expertise, problem-solving skills, and the ability to work in a dynamic client-focused environment.Key Responsibilities:<ul><li>Installation, configuration, and maintenance of servers (Windows/Linux)</li><li>Configuration and management of firewalls, routers, and switches</li><li>Network setup, monitoring, and troubleshooting (LAN/WAN/VPN)</li><li>Server and network security implementation and best practices</li><li>Backup, disaster recovery, and system performance monitoring</li><li>Technical support for internal teams and customers</li><li>Documentation of configurations, procedures, and network diagrams</li><li>Coordination with vendors and OEMs when required</li><li>On-site and remote troubleshooting and support</li></ul>Requirements:<ul><li>Bachelor&rsquo;s degree or diploma in IT, Computer Science, or a related field</li><li>CCNA Certified</li><li>Proven experience as an IT Technical Engineer or similar role</li><li>Hands-on experience with server configuration and management</li><li>Strong knowledge of firewalls (FortiGate, Cisco, Sophos, or similar)</li><li>Good understanding of networking concepts and protocols</li><li>Experience with virtualization and backup solutions is an advantage</li><li>Ability to diagnose and resolve technical issues efficiently</li><li>Strong communication and customer-handling skills</li><li>Valid Qatar driving license is a plus</li></ul>What We Offer:<ul><li>Competitive salary package</li><li>Opportunity to work with diverse technologies and clients</li><li>Professional growth and learning opportunities</li><li>Supportive and collaborative work environment</li></ul>How to Apply: Interested candidates are invited to apply via Indeed with their updated CV or email info@sapirtechnology.com. Shortlisted candidates will be contacted for further discussion.Job Type: Full-timePay: QAR3,000.00 - QAR4,000.00 per monthEducation:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>Network Engineer: 2 years (Required)</li></ul>License/Certification:<ul><li>Driving License (Preferred)</li><li>CCNA Certification (Required)</li></ul>Work Location: In person

IT Technical Engineer

Explore 161+ Machine learning engineer in Doha this July. Find roles across top companies and apply now to boost your career.