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ai solutions engineer / data scientist / machine learning engineer Jobs in Doha Qatar

ai solutions engineer / data scientist / machine learning engineer

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azure devops (data) engineer Jobs in Doha Qatar

azure devops (data) engineer

azure data engineer

Mindstream

Role: Azure Data EngineerLocation: QatarDuration: 1 Year and extendableSalary: Best in marketExperience: 8+ YearsEducation: Bachelor&rsquo;s degree in Computer Science, Information Technology, or a related field.&middot; Strong expertise in Azure Databricks, Azure Data Factory (ADF), Azure Data Lake Storage (ADLS), and Event Hub&middot; Proficiency in programming languages such as PySpark, Scala, or SQL.&middot; Experience with data modeling, data warehousing, and big data technologies.&middot; Knowledge of Delta Lake and other data storage formats.&middot; Familiarity with data integration tools and techniques.&middot; Excellent problem-solving skills and attention to detail.&middot; Knowledge of data governance and data quality best practices.&middot; Strong communication and collaboration skills.&middot; Certification in Microsoft Azure Data Engineering or related areas is a plusForward resume to careers@mind-stream.netWhatsApp 974 30107270Job Type: Permanent

Azure Data Engineer

Proven experience with Azure DevOps and implementing CI/CD pipelines.<ul><li>Strong knowledge of Azure data services, specifically Azure Databricks and Azure Data Factory.</li><li>Proficiency in Databricks Asset Bundle for Databricks Ci/CD.</li><li>Experience with scripting and automation tools (e.g., PowerShell, Python).</li><li>Experience in implementing selective deployment for ADF data pipelines.</li><li>Understanding of containerization and orchestration tools (e.g., Docker, Kubernetes) is a plus.</li><li>Excellent problem-solving skills and ability to troubleshoot complex CI/CD issues.</li><li>Strong communication skills and ability to collaborate effectively with cross-functional teams.</li><li>Knowledge of security best practices for CI/CD pipelines and Azure environments.</li><li>Detail-oriented with a focus on delivering high-quality, reliable automation solutions.</li><li>Bachelor's degree in Computer Science, Information Technology, or related field.</li><li>Minimum of 5 years of experience in DevOps or related roles.</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>How many years of experience do you have working with Azure DevOps?</li><li>Do you have hands-on experience in implementing CI/CD pipelines for Azure data projects?</li><li>Have you worked with Azure Databricks and Azure Data Factory (ADF)?</li><li>Are you familiar with Databricks Asset Bundle for Databricks CI/CD?</li><li>How many years of experience do you have with Python or PowerShell scripting?</li><li>Have you implemented selective deployment for ADF pipelines?</li><li>What is your current and expected salary?</li><li>What is your notice period or earliest joining availability?</li></ul>

Azure DevOps (Data) Engineer

COZMALABS

We are looking for an experienced&#8239; Data Engineer&#8239;to join our team full-time. This role requires a strong background in building and optimizing data pipelines, with a focus on supporting AI-driven solutions. The candidate will work closely with software engineers to ensure reliable data flows for AI models and contribute to cloud-based data integration using Microsoft Azure.Key Responsibilities:<ul><li>Design, develop, and maintain scalable data pipelines and ETL processes to support AI-driven projects</li><li>Build and optimize data infrastructure to ensure efficient data management, processing, and storage in cloud environments (Azure)</li><li>Collaborate with AI engineers to facilitate data preparation for machine learning models and AI solutions</li><li>Ensure data pipelines are secure, reliable, and meet performance standards</li><li>Monitor and troubleshoot data pipeline performance to ensure timely and accurate data delivery</li><li>Implement data governance policies and ensure compliance with data security standards</li></ul>Required Qualifications:<ul><li>Proven experience as a Data Engineer, with a focus on building and maintaining complex data pipelines for AI projects</li><li>Proficiency in SQL and experience with relational databases (e.g., PostgreSQL, SQL Server) and NoSQL databases (e.g., MongoDB)</li><li>Expertise in cloud-based data solutions, specifically Microsoft Azure (e.g., Azure Data Factory, Azure Synapse, Azure Databricks)</li><li>Experience with data integration tools and ETL frameworks (e.g., Apache Airflow)</li><li>Proficiency in at least one programming language for data manipulation (e.g., Python)</li><li>Knowledge of data warehousing solutions and best practices</li><li>Experience in working with data pipelines for AI or machine learning workflows</li><li>Strong problem-solving and analytical skills</li><li>Bachelor&rsquo;s degree in Computer Science, Engineering, or a related field</li><li>Proficiency in English (written and spoken)</li></ul>Desirable Qualifications:<ul><li>Familiarity with machine learning models and data preprocessing for AI solutions</li><li>Knowledge of containerization tools (Docker, Kubernetes) for data pipeline deployments</li></ul>Job Type: Full-time

Data Engineer

Dataline

Cloud &amp; DevOps Engineer (On-site, Qatar)Company InformationCompany: DataLine (dataline-qa.com)Location: Lusail, Qatar (On-site or Relocation Required)Experience Level: Mid/Senior (5+ Years)Employment Type: Full-TimeAbout DataLineDataLine delivers secure, scalable, and high-performance digital platforms for government and enterprise clients across the GCC. Our engineering focus is centered on Azure cloud technologies, automation, DevOps, modern application architecture, compliance, and high availability. We are seeking a Cloud &amp; DevOps Engineer who can manage cloud infrastructure and drive deployment automation across mission&#8209;critical systems.Role SummaryThe Cloud &amp; DevOps Engineer will be responsible for designing, implementing, and maintaining cloud infrastructure while also building and automating CI/CD pipelines. The role combines cloud engineering, automation, release management, monitoring, and environment security. The ideal candidate has deep experience in Azure, DevOps tooling, infrastructure-as-code, networking, and application deployment automation.Key Responsibilities<ul><li>Design, deploy, and maintain Azure cloud infrastructure (App Services, VNets, Storage, VMs)</li><li>Implement CI/CD pipelines using Azure DevOps or GitHub Actions</li><li>Manage networking components including subnets, firewalls, load balancers, NSGs, and routing</li><li>Build and maintain automated deployment workflows for .NET and containerized applications</li><li>Implement infrastructure-as-code using ARM, Bicep, or Terraform</li><li>Configure and manage Azure AD/Entra ID, RBAC, managed identities, and identity governance</li><li>Deploy and manage Azure SQL, PostgreSQL, caching layers, and other data services</li><li>Build and manage container registries, Docker images, and automated release pipelines</li><li>Configure monitoring, logging, alerts, dashboards, and performance insights using Azure Monitor</li><li>Ensure cloud environments meet security, compliance, and CIS hardening requirements</li><li>Troubleshoot production issues, perform root-cause analysis, and improve reliability</li><li>Collaborate closely with development, QA, and project teams for successful end&#8209;to&#8209;end delivery</li></ul>Required Qualifications<ul><li>5+ years of experience in cloud engineering, DevOps, or related fields</li><li>Strong hands-on experience with Microsoft Azure (IaaS, PaaS, Networking, Security)</li><li>Proficiency with CI/CD pipelines, YAML, release automation, and DevOps workflows</li><li>Experience with Azure App Services, Functions, API Management, and container services</li><li>Strong understanding of networking concepts: load balancers, routing, subnets, VPN, NSG</li><li>Experience with Infrastructure-as-Code (ARM, Bicep, Terraform)</li><li>Proficiency with Docker, registries, automated build pipelines</li><li>Strong understanding of identity and access management with Azure AD/Entra ID</li><li>Knowledge of monitoring, logging, performance tuning, and operational stability</li><li>Strong scripting skills (PowerShell or Bash)</li><li>Excellent communication and documentation abilities</li><li>Ability to work on-site in Qatar or relocate</li><li>Applicants must attach valid Microsoft certificates (AZ&#8209;104, AZ&#8209;400, AZ&#8209;700, AZ&#8209;305, AZ&#8209;500, or equivalent) with their CV</li></ul>Bonus Points<ul><li>Experience with AKS and container orchestration</li><li>Familiarity with Zero Trust architecture and CIS benchmarks</li><li>Experience with hybrid cloud or on&#8209;prem connectivity (VPN/ExpressRoute)</li><li>Knowledge of cost optimization and FinOps practices</li><li>Experience supporting government environments or secure deployments</li></ul>What We Offer<ul><li>Full-time on-site role in Doha, Qatar</li><li>Competitive salary with relocation assistance</li><li>Opportunity to work on high-security government platforms</li><li>Modern engineering environment using Azure &amp; Microsoft ecosystem</li><li>Training, certifications, and continuous professional development</li><li>Supportive and collaborative engineering culture</li></ul>How to ApplyApplicants must send their CV with &ldquo;Microsoft Certificates&rdquo; toweb-support@dataline-qa.com (Applications submitted through Indeed will not be considered; only email applications will be reviewed).Subject line: &ldquo;Cloud &amp; DevOps Engineer &ndash; Qatar&rdquo;Applications without Microsoft certificates will not be considered.Job Types: Full-time, PermanentPay: QAR10,000.00 - QAR15,000.00 per month

Cloud & DevOps Engineer (On-site, Qatar)

Codvo.ai

<div><div><div>Senior Cloud Network Security Engineer (Category &ndash; Architect)
Sector: Oil and Gas
Department: IT Infrastructure &amp; Security
Location: Doha, Qatar 
Company Overview:
At Codvo, software and people transformations go hand-in-hand. We are a global empathy-led technology services company. Product innovation and mature software engineering are part of our core DNA. Respect, Fairness, Growth, Agility, and Inclusiveness are the core values that we aspire to live by each day. 
We continue to expand our digital strategy, design, architecture, and product management capabilities to offer expertise, outside-the-box thinking, and measurable results. 
Job Description 
The Senior Cloud &amp; Network Security Engineer will be responsible for designing, implementing, and safeguarding the company&rsquo;s core digital and network infrastructure through robust architecture, secure connectivity, and proactive defence strategies. The role encompasses network design, routing and switching, firewalls, load balancers (LB), web application firewalls (WAF), VPNs, and hybrid cloud security across on-premises and cloud (Azure, GCP) environments. 
The engineer will ensure high availability, resilience, and compliance of all network and security systems, providing expert guidance to cross-functional teams and ensuring alignment with corporate cybersecurity and infrastructure standards. 
Key Responsibilities
Infrastructure &amp; Network Security Management<ul><li>Design, deploy, and manage secure enterprise network architectures spanning on-premises data centers, field assets, and multi-cloud environments (Azure and GCP).</li><li>Configure and maintain routing and switching infrastructure, including VLANs, BGP, OSPF, and WAN/LAN connectivity.</li><li>Manage enterprise firewalls, VPNs, load balancers (F5, Azure Application Gateway), WAFs, and IDS/IPS systems to ensure end-to-end network security.</li><li>Implement and enforce network segmentation, access control lists (ACLs), and zero trust network policies to secure sensitive environments.</li><li>Ensure availability, performance, and scalability of network services through continuous monitoring, optimization, and proactive capacity planning.</li><li>Integrate network telemetry and logs into enterprise SIEM platforms to support threat detection, visibility, and response.</li><li>Collaborate with DevOps, Cloud, and Infrastructure teams to embed security principles within all network and infrastructure deployments.</li><li>Ensure compliance with internal cybersecurity frameworks and external standards such as ISO 27001, NIA Qatar, and energy sector security mandates.</li></ul>
Cloud Security (Azure &amp; GCP)<ul><li>Design and enforce cloud network topologies and security configurations using native controls such as Azure Virtual Networks, Network Security Groups (NSGs), Firewalls, Private Endpoints, and Google VPC Service Controls.</li><li>Secure interconnectivity between on-premises and cloud through ExpressRoute, VPN gateways, and hybrid peering.</li><li>Integrate security-by-design practices into infrastructure-as-code (IaC) and DevSecOps pipelines to ensure consistent and automated network provisioning.</li><li>Manage cloud-native load balancing, WAF, DDoS protection, and application gateways for secure application delivery.</li></ul> 
Threat Detection, Incident Response &amp; Compliance<ul><li>Monitor and analyze network traffic to detect anomalies, intrusions, and advanced threats.</li><li>Respond to network security incidents, coordinate investigation and remediation efforts, and implement corrective actions.</li><li>Maintain configuration baselines, patch management routines, and ensure full compliance with corporate and regulatory security standards.</li><li>Perform periodic risk assessments, vulnerability scans, and network penetration reviews to identify and mitigate risks.</li></ul>
Advisory &amp; Architecture Support<ul><li>Participate in design reviews of new digital transformation projects, ensuring alignment with network and security architecture standards.</li><li>Provide technical leadership and mentorship to network and infrastructure teams, fostering a culture of secure design and continuous improvement.</li><li>Advise stakeholders on network resilience, redundancy, and secure connectivity strategies across all business units.</li></ul> 
Required Skills and Qualifications:<ul><li>Bachelor's degree in Computer Engineering, Cybersecurity, Information Systems, or related field.</li><li>10+ years of experience in network and infrastructure security within large-scale enterprise IT or OT environments.</li><li>Proven expertise in:</li></ul>
o Routing and switching (Cisco, Juniper, or equivalent)
o Enterprise firewalls (Palo Alto, Fortinet, Cisco ASA)
o Load balancers (F5, Azure Application Gateway, NGINX Plus)
o Web Application Firewalls (WAF) and reverse proxy systems
o VPN, IPSec, SSL/TLS, and Zero Trust network architectures
o Cloud networking and security (Azure, GCP)
o Network automation (Terraform, Ansible, ARM templates)<ul><li>Experience with SIEM, SOAR, and threat intelligence platforms (e.g., Azure Sentinel, Chronicle, Splunk).</li><li>Excellent problem-solving skills and ability to lead incident response efforts under pressure.</li></ul>
Technical Proficiencies<ul><li>Enterprise Firewalls &amp; Security Appliances: Palo Alto, Fortinet, Cisco ASA</li><li>Load Balancers &amp; WAF: F5, Azure Application Gateway, Cloudflare, GCP equivalents</li><li>Routing &amp; Switching: Cisco, Juniper, Layer 3 segmentation, BGP/OSPF</li><li>Cloud Security Tools: Azure Security Center, Microsoft Defender for Cloud, GCP Security Command Center</li><li>IAM &amp; Access Control: Azure AD Conditional Access, GCP IAM, MFA, SSO</li><li>Automation &amp; IaC: Terraform, Ansible, ARM templates</li></ul>
Preferred Qualifications<ul><li>Professional certifications such as CISSP, CCSP, Cybersecurity Architect Expert (SC-100) or AZ-500 (Azure Security Engineer) or Google Cloud Security Engineer</li><li>Experience in oil &amp; gas, energy, utilities, or critical infrastructure sectors</li><li>Familiarity with OT (Operational Technology) environments and ICS/SCADA systems</li><li>Exposure to multi-cloud security strategy and cloud-native DevSecOps practices</li></ul></div> 

<div><div>Sub-Department:</div>
<div>Business analyst</div></div></div></div>

Senior Cloud Network Security Engineer

Advanced Artificial Mind

AI Solutions Engineer / Data Scientist / Machine Learning EngineerLocation: Qatar Department: ITResponsibilities:<ul><li>Develop and deploy custom AI models &mdash; particularly in Arabic NLP, document classification, and chatbots.</li><li>Work on data preprocessing, training, and fine-tuning large language models.</li><li>Build APIs or applications integrating AI capabilities into client systems.</li><li>Collaborate with cross-functional teams to define problem statements and evaluate solutions.</li></ul>Requirements:<ul><li>Experience with Python, TensorFlow / PyTorch, Hugging Face, or similar frameworks.</li><li>Familiarity with n8n workflows.</li><li>Knowledge of Arabic language processing and text analytics.</li><li>Strong problem-solving and research skills.</li><li>Familiarity with deploying AI models in cloud environments (Azure, AWS, GCP).</li></ul>Job Type: Full-time

AI Solutions Engineer / Data Scientist / Machine Learning Engineer

Oscar

<div>
 
 
 Role: AI Security Engineer
 
 
 
 
 Location: Doha, Qatar
 
 
 
 
 Salary: Negotiable (Tax Free) + Relocation Allowance
 
 
 
 
 
 
 
 Summary:
 
 
 
 
 
 
 Oscar Technology has partnered with a leading consultancy firm to recruit a specialist for an exciting two-year project based in Qatar. The successful candidate will play a key role in ensuring the security posture of the firm. A relocation package is available and can be negotiated.
 
 
 
 
 
 We need a technically focused AI Security Engineer with 5 years' hands‑on experience securing machine learning systems, LLM deployments, and data pipelines in enterprise environments. Deep expertise in adversarial ML, secure MLOps, model integrity, and privacy-preserving techniques. Proven record of designing production-safe inference services, automating adversarial testing, and reducing model exposure and data leakage risk.
 
 
 
 
 
 This is an excellent opportunity for someone looking to advance their career with a major Qatari firm while enjoying tax-free earnings. Salary is dependant on experience and negotiable.
 
 
 
 
 
 
 Technical expertise we are looking for:
 
 
 
 
 
 
 
 AI &amp; Automation:
 
 
 
 
 
 <ul>
 <li>
 Workflow Automation (Make.com, Zapier, n8n, MS Power Automate)
 </li>
 <li>
 AI Agents &amp; Chatbots (OpenAI, LangChain, Rasa, Dialogflow)
 </li>
 <li>
 Business Process Automation (RPA, API-Integration, SaaS Workflows)
 </li>
 <li>
 Generative AI &amp; LLMs (GPT, Prompt Engineering, Agentic Workflows)
 </li>
 </ul>
 
 
 
 
 
 Technologies &amp; Tools:
 
 
 
 
 
 <ul>
 <li>
 OpenAI API, LangChain, n8n, Make.com, Zapier
 </li>
 <li>
 MS Power Platform, Power Automate, SharePoint
 </li>
 <li>
 Docker, SQL, REST APIs, Postman, GitHub
 </li>
 <li>
 Confluence, JIRA, MS Project, Trello, Asana
 </li>
 </ul>
 
 
 
 
 
 Programming &amp; Test Automation:
 
 
 
 
 
 <ul>
 <li>
 Python, Java, C#, C/C++
 </li>
 <li>
 Test Automation (Pytest, Robot Framework, Playwright, Selenium)
 </li>
 <li>
 QA &amp; Test Management (Azure DevOps, CI/CD, Test Strategies)
 </li>
 </ul>
 
 
 
 
 
 Cloud &amp; Infrastructure:
 
 
 
 
 
 <ul>
 <li>
 Microsoft Azure (AI, Automation, Data Services)
 </li>
 <li>
 Amazon Web Services (AWS AI, Lambda, EC2)
 </li>
 <li>
 Cloud Integrations &amp; Deployment
 </li>
 <li>
 Consulting &amp; Project Management
 </li>
 <li>
 IT Project Management (Agile, Scrum, Kanban)
 </li>
 <li>
 Process Optimization &amp; Digital Transformation in SMEs
 </li>
 <li>
 Workshops, Trainings &amp; Coaching for AI Automation
 </li>
 <li>
 Stakeholder Management &amp; Change Management
 </li>
 </ul>
 
 
 
 
 
 Soft Skills:
 
 
 
 
 
 <ul>
 <li>
 Intercultural Collaboration
 </li>
 <li>
 Structured &amp; Solution-Oriented Approach to Work
 </li>
 </ul>
 
 
 
 
 
 What you will be responsible for:
 
 
 
 
 
 <ul>
 <li>
 Model Security &amp; Hardening: adversarial training, gradient masking, model watermarking, integrity verification
 </li>
 <li>
 Privacy &amp; Data Protection: differential privacy, secure aggregation, federated learning, synthetic data
 </li>
 <li>
 MLOps &amp; Infrastructure: Kubernetes, Docker, MLflow, CI/CD for ML, Terraform, Vault
 </li>
 <li>
 Secure Deployment: encrypted inference, API gateway hardening, rate limiting, runtime monitors
 </li>
 <li>
 Threat Modeling &amp; Testing: ATT&amp;CK for ML mapping, red-team adversarial scenarios, prompt-injection testing
 </li>
 <li>
 Languages &amp; Frameworks: Python, Bash, Go, PyTorch, TensorFlow, Hugging Face Transformers, ONNX
 </li>
 <li>
 Cloud &amp; DevSecOps: AWS (SageMaker, ECR, IAM), Azure ML, GCP Vertex AI, GitHub Actions
 </li>
 <li>
 Monitoring &amp; Observability: Prometheus, Grafana, ELK Stack, model drift detection
 </li>
 </ul>
 
 
</div>

AI Security Engineer

Explore 1133+ Azure data engineer in Doha Qatar this November. Find roles across top companies and apply now to boost your career.