ai expert for plant data model (pdm project)

oas team lead (oracle analytics server & bi delivery activities) arabic speaker

odoo functional lead – erp & business systems

officer – mea bureaus administration igs

civil site engineer

a/c technician

ai applications ops lead, gps Jobs in Qatar

ai applications ops lead, gps

ai expert for plant data model (pdm project) Jobs in Qatar

ai project manager

ai solutions architect

Team Moxim

Job Opportunity: AI Solutions ArchitectLocation: Mesaieed, Qatar Company: Team MoximAbout UsTeam Moxim is a cutting-edge technology company specializing in artificial intelligence, machine learning, and digital transformation solutions. With a strong presence in Mesaieed, we empower businesses to harness AI for smarter decision-making, operational efficiency, and innovation. As we expand, we are seeking a visionary AI Solutions Architect to design and deliver advanced AI-driven systems.Role OverviewWe are looking for an AI Solutions Architect to lead the design, development, and deployment of AI solutions. This role requires a professional with deep expertise in AI technologies, cloud platforms, and enterprise integration. You will be responsible for shaping Team Moxim&rsquo;s AI strategy, ensuring scalable solutions, and driving innovation across industries.Key Responsibilities<ul><li>Design and architect AI solutions tailored to client needs.</li><li>Oversee development and deployment of machine learning models and AI applications.</li><li>Collaborate with business leaders and technical teams to align AI strategy with organizational goals.</li><li>Ensure compliance with data governance, security standards, and ethical AI practices.</li><li>Monitor KPIs, system performance, and solution effectiveness.</li><li>Manage resources, budgets, and vendor relationships.</li><li>Lead and mentor AI engineers and data scientists.</li><li>Represent Team Moxim in AI industry forums, conferences, and professional networks.</li></ul>Qualifications<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, or related field.</li><li>8+ years of experience in AI/ML solution design, with at least 3 years in an architect-level role.</li><li>Strong knowledge of machine learning frameworks (TensorFlow, PyTorch, Scikit-learn).</li><li>Experience with cloud platforms (AWS, Azure, Google Cloud) and enterprise integration.</li><li>Proven track record of delivering scalable AI solutions.</li><li>Excellent leadership, organizational, and communication skills.</li><li>Ability to thrive in a fast-paced, innovation-driven environment.</li></ul>Why Join Us?<ul><li>Lead AI initiatives at one of Qatar&rsquo;s premier technology innovators.</li><li>Play a key role in shaping Team Moxim&rsquo;s digital future.</li><li>Competitive salary and benefits package.</li><li>Opportunities for career growth and professional development.</li><li>Collaborative and forward-thinking work culture.</li></ul>Pay: Up to QAR32,000.00 per monthWork Location: In person

AI Solutions Architect

Al Adyat consultancy

Job Profile: Cloud Infrastructure ArchitectJob Overview:The Cloud Infrastructure Architect is responsible for designing and overseeing the deployment of scalable, secure, and high-performance infrastructure to support the implementation of Plant Data Model (PDM) system. This role focuses on hybrid architecture with a strong emphasis on Microsoft technologies, including Azure, Microsoft 365, Intune, and Power Platform.The architect will evaluate infrastructure proposals submitted by implementation partners, ensure alignment with enterprise architecture and cybersecurity standards, and supervise the setup and integration of cloud and on-premises components. The role requires deep technical expertise in cloud infrastructure, virtualization, disaster recovery, and enterprise-grade networking, with proven experience in oil and gas environments.Key Responsibilities:<ul><li>Evaluate the PDM project infrastructure-related components of bidder proposals, ensuring alignment with enterprise architecture, cybersecurity standards, and operational requirements.</li><li>Lead the implementation of hybrid cloud infrastructure to support the PDM solution, with a focus on Microsoft technologies including Azure, Microsoft 365, Intune, and Power Platform in collaboration with implementation partners.</li><li>Lead the deployment and configuration of virtual machines, storage systems, networking components, and backup solutions across on-premises and cloud environments.</li><li>Ensure seamless integration of infrastructure with Active Directory, DNS, SCCM, Intune, and other enterprise services.</li><li>Oversee disaster recovery planning and high availability setup for PDM, ensuring compliance with existing DR architecture and recovery objectives.</li><li>Monitor infrastructure performance across distributed sites (e.g., Ras Laffan, Taweelah, Abu Dhabi), optimizing for latency, bandwidth, and system responsiveness.</li><li>Collaborate with system integration experts to ensure infrastructure readiness for middleware, APIs, and real-time data systems.</li><li>Enforce security protocols including encryption, role-based access controls, and secure remote access via ZTNA and MFA.</li><li>Support infrastructure scalability planning, capacity assessments, and hardware provisioning in coordination with approved vendors.</li><li>Maintain detailed documentation of infrastructure architecture, deployment plans, and operational procedures.</li><li>Provide technical oversight during implementation, testing, and go-live phases, ensuring infrastructure stability and compliance.</li></ul>Required Qualifications:Educational Background:<ul><li>A degree in computer science, Computer Engineering, information technology, or a related field</li></ul>Certifications (Preferred)<ul><li>Microsoft Certified: Azure Solutions Architect Expert</li><li>Certified Kubernetes Administrator (CKA)</li><li>TOGAF or similar enterprise architecture framework</li></ul>Expected Experience<ul><li>Minimum: 7&ndash;10 years of experience in IT infrastructure and cloud architecture</li><li>Preferred: Experience leading or supporting cloud/hybrid deployments for industrial platforms (e.g., AVEVA, Hexagon, Siemens, Bentley)</li></ul>Technical Skills<ul><li>Deep expertise in Microsoft Azure services including Virtual Machines, Azure Active Directory, Azure Storage, Azure Networking, and Azure Monitor.</li><li>Experience with Microsoft 365, Intune, and Power Platform for enterprise productivity, device management, and workflow automation.</li><li>Strong understanding of hybrid cloud architecture, including integration between on-premises infrastructure and cloud services.</li><li>Experience with Docker, Kubernetes, and Azure Kubernetes Service (AKS) for deploying and managing containerized applications in hybrid environments</li><li>Advanced knowledge of Azure Virtual Network (VNet) design, ExpressRoute, VPN gateways, DNS, load balancing, and secure network segmentation.</li></ul>Soft Skills:<ul><li>Excellent analytical and research skills.</li><li>Strong communication skills to collaborate with cross-functional teams.</li><li>Strong presentation skills</li></ul>Job Type: Full-timePay: From QAR15,000.00 per monthEducation:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>IT infrastructure and cloud architecture: 3 years (Required)</li></ul>Language:<ul><li>Arabic (Required)</li><li>English (Required)</li></ul>License/Certification:<ul><li>degree in computer science, Computer Engineering (Required)</li></ul>Location:<ul><li>Doha (Required)</li></ul>

Cloud Infrastructure Architect

Starlink Qatar

<div>
 
 The
 
 Data Governance &amp; Privacy Lead
 
 defines and drives the governance framework for data used by smart-city capabilities (including Cognitive AI). The role establishes standards for
 
 data classification, privacy-by-design, consent, retention, lineage, and controlled sharing
 
 across multi-tenant environments and multiple vendors. Working with stakeholders, security teams, and delivery vendors, the lead ensures that
 
 data products and AI pipelines comply with applicable regulations and policies
 
 , and that governance is operationalized through tooling, processes, and automated controls embedded into platform onboarding and service delivery.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Define
 
 data governance operating model
 
 : roles (data owners/stewards), RACI, councils, and approval workflows.
 </li>
 <li>
 Establish standards for
 
 data classification, residency, retention, legal holds, and secure disposal
 
 across tenants.
 </li>
 <li>
 Define
 
 privacy-by-design requirements
 
 : consent management, purpose limitation, minimization, and data access controls.
 </li>
 <li>
 Drive
 
 data cataloging and metadata management
 
 (ownership, descriptions, schemas, sensitivity labels, quality scores).
 </li>
 <li>
 Define
 
 lineage and provenance requirements
 
 for data pipelines and AI artifacts (datasets, labels, embeddings, vector indexes).
 </li>
 <li>
 Specify
 
 DLP and egress control requirements
 
 for storage, APIs, and AI/RAG workflows; coordinate with Cybersecurity Architect.
 </li>
 <li>
 Define
 
 data-sharing policies and contracts
 
 (inter-agency sharing, vendor access boundaries, anonymization/masking rules).
 </li>
 <li>
 Establish
 
 data quality framework
 
 : validations, monitoring, SLA/KPIs, issue management, and remediation processes.
 </li>
 <li>
 Provide
 
 governance assurance for vendor deliverables
 
 (design reviews, acceptance criteria, compliance evidence packs).
 </li>
 <li>
 Enable
 
 operations
 
 : governance dashboards, audit reporting, periodic access reviews, and training for data owners/stewards.
 </li>
 </ul>
 
 
 
 
 
 Skills &amp; Abilities
 
 
 <ul>
 <li>
 Strong knowledge of
 
 data governance, privacy, and compliance practices
 
 in regulated environments.
 </li>
 <li>
 Ability to
 
 operationalize governance
 
 through processes and automated technical controls (policy-as-code mindset).
 </li>
 <li>
 Understanding of
 
 modern data platforms
 
 (lakehouse, streaming, catalog/lineage) and
 
 AI data lifecycle
 
 (RAG/embeddings).
 </li>
 <li>
 Excellent
 
 stakeholder management
 
 across legal, security, business owners, and vendor teams.
 </li>
 <li>
 Strong
 
 documentation, control definition, and audit-readiness skills
 
 .
 </li>
 </ul>
 
 
 
 
 
 Education &amp; Experience
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in
 
 Computer Science, Information Technology, Cybersecurity
 
 ; Master&rsquo;s degree highly preferred.
 </li>
 <li>
 
 7+ years
 
 in data governance, privacy, compliance, or data management roles (government/telco preferred).
 </li>
 <li>
 Experience implementing
 
 data catalog/lineage tools
 
 and defining enterprise-wide data standards and policies.
 </li>
 <li>
 Experience with
 
 privacy controls
 
 (consent, RTBF/DSR processes, anonymization/masking, retention schedules).
 </li>
 <li>
 Background working with
 
 delivery vendors
 
 and integrating governance into program delivery and acceptance gates.
 </li>
 <li>
 Familiarity with
 
 AI data governance concepts
 
 (dataset/model cards, provenance, RAG content governance).
 </li>
 </ul>
 
 
 
 
 
 Preferred Tools
 
 
 <ul>
 <li>
 
 Data governance/catalog:
 
 Microsoft Purview (or equivalent), data classification/labeling tools
 </li>
 <li>
 
 Data protection:
 
 DLP tooling, encryption/CMK/HSM, key management (Key Vault/KMS)
 </li>
 <li>
 
 Data platforms:
 
 lakehouse (Delta/Iceberg), streaming (Kafka/Event Hubs), SQL/ETL orchestration (Airflow)
 </li>
 </ul>
 
 
 
 
 
 Soft Skills
 
 
 <ul>
 <li>
 Strong
 
 facilitation and consensus-building
 
 (data councils, policy workshops)
 </li>
 <li>
 Ability to
 
 translate legal/privacy requirements into actionable technical controls
 
 </li>
 <li>
 High
 
 attention to detail
 
 with pragmatic prioritization
 </li>
 <li>
 Confidence to
 
 challenge non-compliant designs
 
 and drive remediation
 </li>
 <li>
 Effective
 
 communication and training approach
 
 for non-technical stakeholders
 </li>
 </ul>
</div>

Data Governance & Privacy Lead

<div>
 
 We are seeking a
 
 Cybersecurity Architect
 
 to define and govern the end-to-end security architecture for platform capabilities and vendor-delivered solutions. The role ensures
 
 secure-by-design implementation
 
 across cloud-agnostic deployments.
 
 
 You will establish security standards, reference architectures, and assurance processes covering
 
 identity, network segmentation, application security, data protection, and operational security monitoring
 
 . Working with stakeholders, vendors, and operations teams, the architect drives
 
 threat modeling, security controls validation, and compliance evidence readiness
 
 , including SIEM/SOAR integration, vulnerability management, and incident response procedures. The role ensures consistent security posture across multi-tenant environments and multiple cloud platforms.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Define
 
 security reference architecture and baseline controls
 
 for cloud, Kubernetes, applications, and data services.
 </li>
 <li>
 Lead
 
 security governance
 
 : design reviews, threat modeling, security exceptions, and risk acceptance processes.
 </li>
 <li>
 Define
 
 identity and access controls
 
 (Entra ID, RBAC, PIM/JIT, conditional access, service principals, secrets management).
 </li>
 <li>
 Design
 
 network security architecture
 
 (segmentation/trust zones, private endpoints, WAF, egress controls, firewall policies).
 </li>
 <li>
 Establish
 
 application security standards
 
 (OWASP, secure SDLC, SAST/DAST, dependency/SBOM, container image signing).
 </li>
 <li>
 Define
 
 data security controls
 
 (classification, encryption/CMK/HSM, DLP, key management, retention, secure deletion).
 </li>
 <li>
 Own
 
 security monitoring requirements and integrations
 
 : Defender for Cloud (CSPM/CWPP), Sentinel (SIEM), SOAR playbooks, alert tuning.
 </li>
 <li>
 Define
 
 vulnerability management and patching processes
 
 for OS/Kubernetes/runtime components, including SLA targets and reporting.
 </li>
 <li>
 Support
 
 incident response readiness
 
 : runbooks, tabletop exercises, forensic logging, evidence handling, and post-incident improvements.
 </li>
 <li>
 Provide
 
 assurance of vendor deliverables and go-live readiness
 
 (pen test coordination, remediation validation, compliance evidence packs).
 </li>
 </ul>
 
 
 
 
 
 Skills &amp; Abilities
 
 
 <ul>
 <li>
 Deep understanding of
 
 cloud security architecture, zero-trust networking, and Kubernetes/container security
 
 .
 </li>
 <li>
 Strong capability in
 
 IAM design and privileged access governance
 
 in regulated environments.
 </li>
 <li>
 Ability to translate
 
 risk and compliance requirements into practical technical controls and acceptance criteria
 
 .
 </li>
 <li>
 Experience implementing
 
 security monitoring, detection engineering, and incident response processes
 
 .
 </li>
 <li>
 Strong
 
 stakeholder influence
 
 and ability to enforce standards across multiple vendors and teams.
 </li>
 </ul>
 
 
 
 
 
 Education &amp; Experience
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in
 
 Computer Science, Information Technology, Cybersecurity
 
 ; Master&rsquo;s degree highly preferred.
 </li>
 <li>
 
 8+ years
 
 in cybersecurity architecture or security engineering roles in government, telco, finance, or critical infrastructure.
 </li>
 <li>
 Hands-on experience securing
 
 Azure and at least one other cloud
 
 (GCP/AWS), including hybrid connectivity and shared responsibility.
 </li>
 <li>
 Proven experience with
 
 SIEM
 
 (Microsoft Sentinel preferred) and
 
 CSPM/CWPP
 
 (Defender for Cloud preferred).
 </li>
 <li>
 Experience with
 
 secure SDLC, vulnerability management, penetration testing coordination, and remediation programs
 
 .
 </li>
 <li>
 Relevant certifications preferred:
 
 CISSP/CCSP, CISM, Azure Security Engineer, CKA/CKS, ISO 27001 awareness
 
 .
 </li>
 </ul>
 
 
 
 
 
 Preferred Tools
 
 
 <ul>
 <li>
 
 Security posture &amp; SIEM:
 
 Microsoft Defender for Cloud, Microsoft Sentinel, SOAR playbooks
 </li>
 <li>
 
 Container/Kubernetes security:
 
 image scanning (Trivy/Anchore), policy-as-code (OPA/Gatekeeper), cosign/Sigstore, Kubernetes audit tools
 </li>
 <li>
 
 Identity &amp; secrets:
 
 Azure Entra ID, PIM, Key Vault/KMS/HSM, PAM tooling
 </li>
 </ul>
 
 
 
 
 
 Soft Skills
 
 
 <ul>
 <li>
 Risk-based
 
 decision-making
 
 and ability to articulate trade-offs clearly
 </li>
 <li>
 Strong facilitation of
 
 threat modeling and security design reviews
 
 </li>
 <li>
 Clear, structured
 
 documentation and compliance evidence mindset
 
 </li>
 <li>
 Calm, decisive leadership during
 
 incidents and high-pressure situations
 
 </li>
 <li>
 
 Collaborative approach
 
 that enables delivery while maintaining security standards
 </li>
 </ul>
</div>

Cybersecurity Architect

Scale AI

<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, Cisco, DLA Piper, 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

Job Profile: AI Expert for Plant Data Model (PDM Project)Job SummaryWe are seeking a highly skilled AI Expert to design, build, and operationalize AI/ML solutions that deliver measurable business outcomes. The ideal candidate combines deep machine learning expertise with strong software engineering practices, MLOps proficiency, and stakeholder collaboration. This role will lead end-to-end projects&mdash;from problem framing and data acquisition to model development, deployment, monitoring, and continuous improvement&mdash;while ensuring compliance with security, privacy, and governance policies.Key Responsibilities&middot; Partner with business stakeholders to translate strategic objectives into AI use cases with clear KPIs and ROI.&middot; Own the full ML lifecycle: data sourcing, feature engineering, model selection, training, evaluation, and production deployment.&middot; Implement robust MLOps: CI/CD for ML, model registry, automated testing, reproducible pipelines, and monitoring (drift, performance, fairness).&middot; Design scalable data/feature pipelines using best practices for data quality, lineage, and governance.&middot; Develop models across domains (e.g., predictive analytics, time series, NLP, computer vision, recommender systems).&middot; Optimize models for efficiency and cost across CPU/GPU, leveraging quantization, distillation, or serving optimizations.&middot; Deploy and maintain models on cloud and on-prem platforms; orchestrate with containers and microservices (Docker/Kubernetes).&middot; Establish and enforce responsible AI practices: privacy-preserving methods, bias detection/mitigation, explainability, and secure handling of data.&middot; Produce high-quality documentation: design docs, runbooks, experiment logs, and user guides; present results to technical and non-technical audiences.&middot; Mentor engineers and analysts; contribute to standards, templates, and reusable components within the AI platform.Minimum Qualifications&middot; Bachelor&rsquo;s degree in computer science, Data Science, Engineering, Mathematics, or related field (or equivalent experience).&middot; 5+ years building and deploying ML models in production environments.&middot; Strong programming skills in Python and experience with ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch).&middot; Hands-on experience with data processing frameworks (e.g., Pandas, Spark), SQL/NoSQL databases, and feature stores.&middot; Proficiency in MLOps tooling (e.g., MLflow, DVC, Kubeflow, Airflow) and CI/CD for ML.&middot; Experience deploying to cloud platforms (e.g., Azure Machine Learning, AWS SageMaker, GCP Vertex AI) and container orchestration (Docker/Kubernetes).&middot; Solid understanding of statistics, experiment design (A/B testing), and model validation techniques.&middot; Excellent communication and stakeholder management skills; ability to articulate complex concepts clearly.Preferred Qualifications&middot; Master&rsquo;s or PhD in a quantitative field.&middot; Experience with NLP (transformers, LLMs, RAG) and computer vision (CNNs, detection/segmentation).&middot; Exposure to time-series forecasting, optimization, and reinforcement learning for industrial use cases.&middot; Experience with Azure ecosystem (Azure ML, Databricks, Data Factory, Synapse) and enterprise integration patterns.&middot; Familiarity with privacy-preserving techniques (differential privacy, federated learning) and model interpretability (SHAP, LIME).&middot; Track record of delivering AI solutions in manufacturing, energy, or operations (e.g., predictive maintenance, process optimization).Technical Stack &amp; Tools&middot; Languages: Python (preferred), SQL; familiarity with C++/Java is a plus.&middot; ML/AI: scikit-learn, TensorFlow, PyTorch, XGBoost, Hugging Face; experiment tracking (MLflow).&middot; Data: Pandas, Spark, Delta/Parquet; data versioning (DVC); feature stores.&middot; Pipelines &amp; Orchestration: Airflow, Prefect, Kubeflow; Docker/Kubernetes for serving.&middot; Monitoring &amp; Observability: Prometheus/Grafana; model drift/performance monitoring tools.&middot; DevOps: Git, GitHub/GitLab, CI/CD, testing frameworks (pytest).&middot; Cloud: Azure (preferred), AWS, GCP; serverless and managed ML services.Core Competencies &amp; Soft Skills&middot; Business acumen with the ability to prioritize use cases based on value and feasibility.&middot; Structured problem solving and hypothesis-driven experimentation.&middot; Clear written and verbal communication, storytelling with data, and visualization skills.&middot; Collaboration and mentorship across cross-functional teams (engineering, operations, compliance).&middot; Ownership mindset with a focus on reliability, safety, and continuous improvement.AI Governance, Security &amp; Compliance&middot; Adhere to corporate data governance policies, security standards, and regulatory requirements (e.g., GDPR where applicable).&middot; Implement role-based access controls, encryption, secure secrets management, and audit trails across the ML stack.&middot; Ensure models meet fairness, transparency, and explainability guidelines; conduct regular risk assessments and reviews.Success Criteria &amp; KPIs&middot; Cycle time from ideation to production (weeks).&middot; Model performance against business KPIs (e.g., accuracy, precision/recall, uplift, cost savings).&middot; Operational reliability (SLA adherence, downtime, incident rate).&middot; Adoption and user satisfaction for AI-enabled products and workflows.Compliance metrics (governance checks passed, audits completed).Job Type: Full-timePay: From QAR15,000.00 per monthEducation:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>AI Expert for Plant Data Model (PDM Project) : 3 years (Required)</li></ul>Language:<ul><li>Arabic (Required)</li><li>English (Required)</li></ul>License/Certification:<ul><li>degree in computer science, Data Science (Required)</li></ul>Location:<ul><li>Doha (Required)</li></ul>

AI Expert for Plant Data Model (PDM Project)

COZMALABS

About the RoleApplab is a Microsoft Gold Partner and one of Qatar's leading AI and enterprise technology companies, serving government entities, energy sector clients, and major commercial organizations. As we scale our growth and ventures division, we are looking for a Business Development Officer who is built for one thing: closing complex enterprise deals.This is not a lead-generation role. You will operate at the final mile of our sales cycle, working alongside senior leadership to convert high-value opportunities into signed contracts. You will be deeply involved in shaping proposals, structuring commercial terms, and presenting to senior government and enterprise stakeholders across Qatar and the wider GCC.Key ResponsibilitiesProposal &amp; Deal Architecture<ul><li>Lead the development of sales presentations, Statements of Work (SOWs), and commercial proposals for enterprise software and AI engagements.</li><li>Structure deal terms in coordination with technical, legal, and finance teams to ensure proposals are competitive, compliant, and profitable.</li><li>Translate complex technical solutions into clear, persuasive value propositions tailored to government and enterprise buyers.</li></ul>Government &amp; Public Sector Engagement<ul><li>Manage and advance active opportunities with government ministries, regulatory bodies, and public sector entities in Qatar.</li><li>Navigate formal procurement processes including RFPs, RFQs, and tender submissions, ensuring compliance with public sector requirements.</li><li>Build and maintain trusted relationships with decision-makers and procurement officers across government accounts.</li></ul>Partner &amp; Stakeholder Alignment<ul><li>Act as the connective tissue between Applab and clients to move opportunities from qualified to contracted.</li><li>Coordinate with Partner&rsquo;s account teams to align on co-selling opportunities, and partner incentive programs.</li><li>Prepare and deliver executive-level pitch decks and product demonstrations for C-suite and government stakeholders.</li></ul>Pipeline &amp; Reporting<ul><li>Maintain accurate deal tracking and forecasting, with clear visibility into pipeline health and projected close timelines.</li><li>Identify upsell and cross-sell opportunities within the existing client base, particularly in government and commercial sectors.</li></ul>RequirementsEssential<ul><li>5 to 7 years of experience in B2B enterprise technology sales, business development, or pre-sales, with a demonstrable record of closing deals above QAR 500K.</li><li>Proven experience managing government or public sector deals, including familiarity with Qatar or GCC procurement processes.</li><li>Exceptional written and verbal communication skills, with the ability to produce high-quality presentations, SOWs, and commercial proposals independently.</li><li>Strong executive presence and presentation skills, comfortable engaging C-level and government decision-makers.</li></ul>Preferred<ul><li>Working knowledge of Microsoft Azure or similar cloud platform ecosystems.</li><li>Prior exposure to AI, digital transformation, or enterprise software solutions in a sales or BD capacity.</li><li>Arabic language proficiency is a strong advantage for stakeholder engagement in the Qatar market.</li><li>Bachelor's degree in Business, Engineering, Computer Science, or a related field.</li></ul>What You Will Be Part OfAt Applab, you will work at the intersection of AI, enterprise technology, and some of Qatar's most significant digital transformation programs. Our clients include government ministries, energy sector leaders, and major commercial organizations. We are a Microsoft Partner with a growing footprint across the GCC, and this role puts you at the center of our most strategic deals.<ul><li>Direct exposure to high-value, complex enterprise and government deals.</li><li>Close collaboration with senior leadership and partner teams.</li><li>Work on AI-powered solutions and enterprise platforms at the frontier of Qatar's digital agenda.</li><li>A team culture that values initiative, ownership, and professional growth.</li></ul>Job Type: Full-timeWork Location: In person

Business Development Officer

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