Scale’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:

• Creating custom AI applications that will impact millions of citizens
• Generating high-quality training data for national LLMs
• Upskilling and advisory services to spread the impact of AI

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’re not just building AI solutions—we are building repeatable blocks to enable the public sector to transform their operations and better serve citizens through cutting-edge technology. If you’re ready to shape the future of AI in the public sector and be a member of our rapidly expanding team, we’d love to hear from you.

You will:

• Partner with public sector clients to deeply understand their challenges and define AI-driven solutions 
• Build and deploy end-to-end AI applications into production leveraging latest developments from the biggest AI labs, and open source models
• Collaborate with cross-functional teams, including data annotation specialists, to create high-quality training datasets
• Design and maintain robust evaluation frameworks to ensure the reliability and effectiveness of AI models
• Participate in customer engagements, including occasional travel (approximately two weeks per quarter)
• Contribute to the scaling of AI capabilities in the public sector through hands-on knowledge sharing

Ideally you’d have:

• A strong engineering background, with a Bachelor’s degree in Computer Science, Mathematics, or a related quantitative field (or equivalent practical experience)
• 7+ years of post-graduation engineering experience, with demonstrated proficiency in languages such as Python, TypeScript/JavaScript, Java, or C++.
• 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
• Familiarity with cloud-based machine learning tools and platforms (e.g. AWS, GCP, Azure)
• Strong problem-solving skills, with a data-driven approach to iterating on machine learning models and datasets
• Excellent written and verbal communication skills to collaborate effectively in a cross-functional environment

Nice to haves:

• Experience working at a startup, particularly as founding engineer
• Experience building and deploying large-scale AI solutions
• Strong written and verbal communication skills to operate in a cross-functional team environment
• Proficiency in Arabic (if focused on language models)

Scale’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:

• Creating custom AI applications that will impact millions of citizens
• Generating high-quality training data for national LLMs
• Upskilling and advisory services to spread the impact of AI

As a DevOps Engineer, you will design and develop core platforms and software systems, while supporting orchestration, data abstraction, data pipelines, identity & access management, security tools, and underlying cloud infrastructure.

At Scale, we’re not just building AI solutions—we’re enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you’re ready to shape the future of AI in the public sector and be a founding member of our team, we’d love to hear from you.

You will:

• 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.
• 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.
• 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.
• 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.
• 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.

Ideally you’d have:

• A strong engineering background, with a Bachelor’s degree in Computer Science, Mathematics, or a related quantitative field (or equivalent practical experience)
• 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++
• Extensive experience in software development and a deep understanding of distributed systems and public cloud platforms (AWS and Azure preferred)
• Track record of independent ownership of successful engineering projects
• Experience working fluently with standard containerization & deployment technologies like Kubernetes, Terraform, Docker, etc.
• Strong knowledge of software engineering best practices and CI/CD tooling (CircleCI, Github Actions)
• Solid foundation and real-world experience in network engineering

Nice to haves:

• Experience working cross functionally with operations
• Experience building solutions with LLMs and a deep understanding of the overall Gen AI landscape
• Experience with data warehouses (Snowflake, Firebolt) and data pipeline/ETL tools (Dagster, dbt)
• Experience with authentication/authorization systems (Zanzibar, Authz, etc.)
• Experience with NoSQL document databases (MongoDB) and structured databases (Postgres)
• Experience with hybrid or on-prem systems
• Experience with orchestration platforms, such as Temporal and AWS Step Functions

Scale’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:

• Creating custom AI applications that will impact millions of citizens
• Generating high-quality training data for custom LLMs
• Upskilling and advisory services to spread the impact of AI

As a Full Stack Software Engineer (Forward Deployed), you’ll collaborate directly with public sector counterparts to quickly build full-stack, AI applications, to solve their most pressing challenges and achieve meaningful impact for citizens.

At Scale, we’re not just building AI solutions—we’re enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you’re ready to shape the future of AI in the public sector and be a founding member of our team, we’d love to hear from you.

You will:

• Partner with public sector clients to scope, collect feedback and implement solutions for complex problems, including spending up to two weeks per month in client offices for feedback and delivery.
• Architect production-grade applications that integrate AI models with full-stack frameworks, managing everything from interactive UIs to backend APIs and systems. 
• Deploy and manage infrastructure within cloud environments, ensuring the highest levels of system integrity, security, scalability, and long-term reliability.
• Contribute to core platform features designed to be reused across diverse international client use cases.
• Partner with design, product, and data teams to build robust applications aligned with the broader technical architecture.

Ideally you’d have:

• Bachelor’s degree in Computer Science or a related quantitative field 
• 5+ years of post-graduation, full-stack engineering experience with demonstrated proficiency in React (required), TypeScript, Next.js, Python,  Node.js, PostgreSQL or MongoDB plus hands-on experience with Docker, Kubernetes, and Azure/AWS/GCP.
• Proven ability to architect scalable, production-grade applications with a strong handle on cloud environments and infrastructure health.
• Experience working directly within customer infrastructure to deploy, maintain, and troubleshoot complex, end-to-end solutions.
• A self-starting approach with the technical maturity to navigate ambiguous requirements and deliver reliable software.
• Driven async communication methodologies to reduce communication frictions

Nice to haves:

• Proficient in Arabic 
• Past experience working in a forward deployed engineer / dedicated customer engineer role
• Experience working cross functionally with operations
• Experience building solutions with LLMs and a deep understanding of the overall Gen AI landscape

Scale’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:

• Creating custom AI applications that will impact millions of citizens
• Generating high-quality training data for custom LLMs
• Upskilling and advisory services to spread the impact of AI

As a Full Stack Software Engineer (Forward Deployed), you’ll collaborate directly with public sector counterparts to quickly build full-stack, AI applications, to solve their most pressing challenges and achieve meaningful impact for citizens.

At Scale, we’re not just building AI solutions—we’re enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you’re ready to shape the future of AI in the public sector and be a founding member of our team, we’d love to hear from you.

You will:

• Collaborate with senior engineers to implement features for public sector clients, including spending time with the client  to understand user feedback and assist with delivery.
• Develop and maintain full-stack components that integrate with AI models, focusing on building responsive UIs and reliable backend APIs.
• Assist in deploying and monitoring applications within cloud environments, ensuring basic system stability and security.
• Help build and refine reusable features that support diverse international client use cases.
• Work within a multi-disciplinary team of design, product, and data specialists to build robust features that follow established technical architectures.

Ideally you’d have:

• Bachelor’s degree in Computer Science or a related quantitative field 
• Professional full-stack experience with a focus on React, TypeScript, and Python/Node.js. Familiarity with Next.js and NoSQL/Relational databases, along with exposure to containerization (Docker) and cloud deployments.
• Experience building and deploying web applications with a good understanding of cloud fundamentals and scalable coding practices.
• A self-starting approach to navigate ambiguous requirements and deliver reliable software.

Nice to haves:

• Proficient in Arabic 
• Experience working cross functionally with operations
• Experience building solutions with LLMs

About us:

Artefact is a global services company that sits at the intersection of consulting, data science, AI technologies and marketing. Our 1700+ people break Business and Tech silos and transform organizations into consumer-centric leaders using digital, data and AI.

Key Responsibilities:

• Data Quality Analysis & Remediation: Collect, extract, and clean data from various sources to prepare comprehensive datasets for analysis This includes handling missing data, removing inconsistencies, and ensuring the data is structured correctly for further analysis.
• Analyze data using appropriate statistical techniques and tools to uncover trends, patterns, and anomalies in the information. This could involve anything from simple descriptive analysis to more complex exploratory data analysis
• Validate and cross-check analysis results to ensure accuracy. This involves verifying calculations, comparing findings against external or historical data for consistency, and investigating any irregularities in the results. Data Analysts are expected to be vigilant about data quality during analysis, catching any issues that might have passed initial data processing.
• Create clear, concise reports and visualizations to communicate findings. While the focus is on analysis rather than just creating dashboards, analysts will use tools like Power BI to illustrate key insights. They should present data in an understandable way for internal stakeholders, writing summaries that interpret the numbers and highlight important conclusions.
• Work closely with statisticians and other team members to interpret results and refine analysis approaches. This collaborative approach ensures that the analysis aligns with methodological standards and project goals. Analysts may adjust their methods based on feedback, contribute to discussions on what the data means, and help integrate their findings into broader census reports.

Key Qualifications:

• Bachelor’s degree in a quantitative field such as Statistics, Data Science, Economics, Mathematics, or similar. This educational background provides a solid foundation in data analysis techniques and statistical reasoning.
• Strong proficiency in data analysis tools and languages, particularly SQL for database querying, Excel for data manipulation, and programming in Python or R for more advanced analysis and automation. Experience with statistical libraries or packages (e.g., pandas, R’s tidyverse) is highly valuable.
• Demonstrated ability to perform in-depth data analysis and not just generate visuals. We need analysts who can write complex queries, perform calculations, and apply statistical tests if necessary – beyond assembling dashboard components. An analytical mindset and attention to detail are crucial for interpreting data correctly and spotting outliers or errors.
• Familiarity with business intelligence and visualization tools, especially Power BI, to aid in presenting analysis outcomes. While creating polished dashboards is not the primary focus, the analyst should be capable of using Power BI (and similar tools like Tableau if needed) to turn data into interpretable charts and graphs for reporting purposes. They should also understand data visualization best practices to communicate information effectively.
• Excellent communication skills, both written and verbal, with the ability to explain data findings in layman’s terms. A collaborative attitude is important, as Data Analysts will frequently interact with other teams (IT, field operations, subject-matter experts) to gather context and ensure that analyses meet the needs of the census project. They should be proactive in sharing insights and contributing to data-driven decisions within the organization.

About the Job:

AcuTech Consulting Group is growing rapidly and seeking highly qualified and motivated Process Safety Consultants in Qatar to help fuel our growth. Candidates would join a highly respected team of industry leading PSM experts on challenging projects for many of the world’s and region's largest corporations. Assignments will primarily be based out of Qatar, KSA and other GCC Countries.

These positions offer an excellent opportunity for personal and professional growth. AcuTech is a well-established, successful, and growing company that offers competitive salary, bonus and benefits based on experience and position.

What You’ll Do:

As part of AcuTech’s Qatar team, you will work directly with clients on projects spanning all aspects of process safety and risk management. Successful candidates will proactively apply engineering and problem-solving skills to meet challenging safety and business objectives while seeking out leadership and growth opportunities. Candidates must have high technical acumen, be self-motivated, independent, organized, able to work effectively under direction of senior engineers, and handle multiple work assignments and projects.

What’s Required:

• Senior Consultants: 10-15+ years’ experience required; ability to develop and lead cross-functional teams, manage client relationships, develop business and utilize strong project and people management skills.
• Consultants: 5-10+ years’ experience; self-motivated, independent, organized, able work effectively under direction of senior engineers, handle multiple work assignments and projects and seek professional growth and development.
• All Roles:
• BE/BTech/BS/ME/MTech/MS in related engineering field (chemical, electrical, mechanical, fire protection, safety)
• Relevant experience in process safety management, process or engineering design environment, manufacturing operations, and/or consulting environment.
• Ability to develop consulting business, including developing proposals and making presentations
• Self-motivated, independent, strong leadership and organizational skills.
• Excellent English verbal and written communication skills, interpersonal skills, client service and commitment to client satisfaction.
• Strong analytical, problem-solving, and facilitation skills and a consultative approach in supporting customer projects.

• Experience in developing, implementing, or managing PSM programs
• Demonstrated experience in developing, writing, and implementing PSM plans, procedures, design philosophies, design bases, engineering specifications, standard operating procedures
• Demonstrated experience developing and evaluating/auditing PSM management systems and advising management at all levels of the organization to effect positive change to operational excellence.
• Demonstrated experience in developing and delivering technical training, workshops, and train-the-trainer programs.
• Act as a mentor to client personnel, ensuring effective knowledge transfer and building the client’s capacity to sustain the PSM program long-term.
• Proven experience working in brownfield operating environments

What’s Preferred

• Experience and expertise in PSM Technical Services such as:
• Process hazard analyses (PHA), and risk assessments, or related studies, such as Design Review, HAZID, What-If, HAZOP, FMEA, ENVID, SIMOPS, Layer of Protection Analysis (LOPA), Bowtie Analysis, ALARP Demonstration
• Safety Instrumented Systems services such as:
• Safety integrity level (SIL) assessment, safety integrity level (SIL) assessment based on recognized knowledge of IEC61511 and related standards
• Experience with Quantitative Risk Assessment Studies such as:
• Consequence Modelling
• QRA, and Occupied Building Risk Assessment
• Toxic Gas Risk Assessment
• Fire and Explosion Risk Assessment
• EERA, ESSA
• 3-D F&G Mapping

• Safety Critical Equipment Identification and Performance Standards Development
• Proficiency in Qatar Energy MAHM Framework, Saudi ARAMCO Standards is an advantage
• Experience in the Middle East is an advantage
• Ideal candidates will be “Seller Doers” with existing client connections and an ability to generate new business.