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Deeplight

<div>DeepLight AI is a specialist AI and data consultancy with extensive experience implementing intelligent enterprise systems across multiple industries, with particular depth in financial services and banking. Our team combines deep expertise in data science, statistical modeling, AI/ML technologies, workflow automation, and systems integration with a practical understanding of complex business operations.
The Cloud Ops Engineering Lead is a highly technical role dedicated to the design, deployment, and management of scalable AI infrastructure on Azure. You will be responsible for creating the backbone of the Bank&rsquo;s AI initiatives, integrating Machine Learning Operations (MLOps), containerization, and robust data engineering practices. By leveraging Infrastructure as Code (Terraform) and advanced cloud-native services, you will ensure that AI applications are secure, high-performing, and compliant with global banking standards. This role bridges the gap between raw data and production-ready AI, providing the platforms that allow Data Scientists and Engineers to deploy impactful solutions at scale.
As the Cloud Ops Engineering Lead, your responsibilities will include:<ul><li>
Building and managing scalable AI environments using Azure Virtual Machines, Azure Kubernetes Service (AKS), and Azure Functions.</li><li>
Developing and maintaining CI/CD pipelines for automated model deployment, versioning (MLflow), and monitoring using Azure DevOps and GitHub Actions.</li><li>
Leading &quot;Infrastructure as Code&quot; (IaC) initiatives using Terraform to automate resource provisioning and ensure environment consistency.</li><li>
Configuring secure networking (Firewalls, VNETs, NSGs) and manage access control through Azure RBAC, Key Vault, and Azure Policy.</li><li>
Designing and implementing data pipelines using Azure Data Factory, Databricks, and Synapse Analytics to facilitate real-time data ingestion and warehousing.</li><li>
Tracking model performance, data drift, and infrastructure costs using Azure Monitor, Application Insights, and Cost Management tools.</li><li>
Organizing and supervising team activities, ensuring targets are met in line with ADCB&rsquo;s policies and continuous improvement initiatives.</li><li>
Supporting, Coaching and Mentoring more junior members of the team, when required</li><li>
Additional responsibilities on occasion, on management request</li></ul>
As an AI consultancy, our greatest asset is the expertise of our people. 
 
While technical mastery is the foundation of what we do, the ability to bridge the gap between complex data science and actionable business value is what defines your success with Deeplight. 
 
We're looking for individuals who are not only world-class in their fields of specialism, but also compelling communicators and persuasive advocates for their own skills. 
 
You will be the face of our firm, tasked with building trust, articulating the &quot;why&quot; behind your technical decisions, and effectively &quot;selling&quot; your vision to high-level stakeholders. 
 
If you thrive on the challenge of presenting cutting-edge solutions as much as you do on building them, you will fit right in. 
Requirements 
What we need from you:<ul><li>
Minimum of 5 years in designing and deploying AI/ML solutions on Azure.</li><li>
Bachelor&rsquo;s degree in Computer Science, AI, Software Engineering, Statistics, or a related quantitative field.</li><li>
Azure Certifications (e.g., Azure Solutions Architect, Azure AI Engineer, or Azure Administrator) are highly preferred.</li><li>
Proven track record of managing secure, compliant systems in a high-stakes environment (e.g., Banking or Finance).</li><li>
Deep proficiency in Azure infrastructure management, including Subscriptions, Resource Groups, and Blueprints.</li><li>
Hands-on experience building and managing container images via Azure Container Registry (ACR) and deploying via AKS or Container Apps.</li><li>
Advanced expertise in Terraform for automating complex cloud architectures.</li><li>
Strong grasp of secure cloud networking and secret management (Azure Key Vault).</li><li>
Proficient in Azure DevOps, GitHub, and data processing frameworks like Apache Spark.</li></ul>
What we'd like from you:<ul><li>
Familiarity with AWS services (SageMaker, S3, CloudWatch) for cross-cloud or hybrid deployment scenarios.</li><li>
Ability to optimize cloud spend while maintaining high availability and performance.</li><li>
Understanding of GDPR, ISO standards, and how to apply them via Microsoft Defender for Cloud and Azure Purview.</li><li>
Strong communication skills to act as a bridge between IT infrastructure teams and AI development squads.</li></ul> 
Benefits 
Benefits &amp; Growth Opportunities:<ul><li>
Competitive salary.</li><li>
Visa Sponsorship for the successful individual.
</li><li>Comprehensive health insurance for the successful individual.
</li><li>Professional development and certification support.</li><li>
Opportunity to work on cutting-edge AI projects.</li><li>
Career advancement opportunities in a rapidly growing AI company.</li></ul>
This position offers a unique opportunity to shape the future of AI implementation while working with a talented team of professionals at the forefront of technological innovation. The successful candidate will play a crucial role in driving our company's success in delivering transformative AI solutions to our clients.
At DeepLight AI, we recognise that diversity drives innovation. We are committed to fostering an inclusive environment where individuals with different thinking styles can thrive and contribute their unique strengths to our specialised AI and data solutions.
Our goal is to ensure our application and interview process is accessible, predictable, and fair for all candidates.
If you require any specific adjustments to the application process, or if you require any reasonable adjustments should you be successful in being processed to the interview stage, please do let us know. This information will be kept strictly confidential and will not impact hiring decisions.</div>

Cloud Ops Engineering Lead

Deeplight AI

<div>
 DeepLight AI is a specialist AI and data consultancy with extensive experience implementing intelligent enterprise systems across multiple industries, with particular depth in financial services and banking. Our team combines deep expertise in data science, statistical modeling, AI/ML technologies, workflow automation, and systems integration with a practical understanding of complex business operations.
 
 
 The Cloud Ops Engineering Lead is a highly technical role dedicated to the design, deployment, and management of scalable AI infrastructure on Azure. You will be responsible for creating the backbone of the Bank's AI initiatives, integrating Machine Learning Operations (MLOps), containerization, and robust data engineering practices. By leveraging Infrastructure as Code (Terraform) and advanced cloud-native services, you will ensure that AI applications are secure, high-performing, and compliant with global banking standards. This role bridges the gap between raw data and production-ready AI, providing the platforms that allow Data Scientists and Engineers to deploy impactful solutions at scale.
 
 
 As the Cloud Ops Engineering Lead, your responsibilities will include:
 
 
 <ul>
 <li>
 Building and managing scalable AI environments using Azure Virtual Machines, Azure Kubernetes Service (AKS), and Azure Functions
 </li>
 <li>
 Developing and maintaining CI/CD pipelines for automated model deployment, versioning (MLflow), and monitoring using Azure DevOps and GitHub Actions
 </li>
 <li>
 Leading "Infrastructure as Code" (IaC) initiatives using Terraform to automate resource provisioning and ensure environment consistency
 </li>
 <li>
 Configuring secure networking (Firewalls, VNETs, NSGs) and manage access control through Azure RBAC, Key Vault, and Azure Policy
 </li>
 <li>
 Designing and implementing data pipelines using Azure Data Factory, Databricks, and Synapse Analytics to facilitate real-time data ingestion and warehousing
 </li>
 <li>
 Tracking model performance, data drift, and infrastructure costs using Azure Monitor, Application Insights, and Cost Management tools
 </li>
 <li>
 Organizing and supervising team activities, ensuring targets are met in line with ADCB's policies and continuous improvement initiatives
 </li>
 <li>
 Supporting, Coaching and Mentoring more junior members of the team, when required
 </li>
 <li>
 Additional responsibilities on occasion, on management request
 
 
 </li>
 </ul>
 
 As an AI consultancy, our greatest asset is the expertise of our people.
 
 
 
 
 While technical mastery is the foundation of what we do, the ability to bridge the gap between complex data science and actionable business value is what defines your success with Deeplight.
 
 
 
 
 We're looking for individuals who are not only world-class in their fields of specialism, but also compelling communicators and persuasive advocates for their own skills.
 
 
 
 
 You will be the face of our firm, tasked with building trust, articulating the "why" behind your technical decisions, and effectively "selling" your vision to high-level stakeholders.
 
 
 
 
 If you thrive on the challenge of presenting cutting-edge solutions as much as you do on building them, you will fit right in.
 
 
 
 
 Requirements
 
 
 
 
 What we need from you:
 
 
 
 <ul>
 <li>
 Minimum of 5 years in designing and deploying AI/ML solutions on Azure
 </li>
 <li>
 Bachelor's degree in Computer Science, AI, Software Engineering, Statistics, or a related quantitative field
 </li>
 <li>
 Azure Certifications (e.g., Azure Solutions Architect, Azure AI Engineer, or Azure Administrator) are highly preferred
 </li>
 <li>
 Proven track record of managing secure, compliant systems in a high-stakes environment (e.g., Banking or Finance)
 </li>
 <li>
 Deep proficiency in Azure infrastructure management, including Subscriptions, Resource Groups, and Blueprints
 </li>
 <li>
 Hands-on experience building and managing container images via Azure Container Registry (ACR) and deploying via AKS or Container Apps
 </li>
 <li>
 Advanced expertise in Terraform for automating complex cloud architectures
 </li>
 <li>
 Strong grasp of secure cloud networking and secret management (Azure Key Vault)
 </li>
 <li>
 Proficient in Azure DevOps, GitHub, and data processing frameworks like Apache Spark
 
 
 </li>
 </ul>
 
 What we'd like from you:
 
 
 
 <ul>
 <li>
 Familiarity with AWS services (SageMaker, S3, CloudWatch) for cross-cloud or hybrid deployment scenarios
 </li>
 <li>
 Ability to optimize cloud spend while maintaining high availability and performance
 </li>
 <li>
 Understanding of GDPR, ISO standards, and how to apply them via Microsoft Defender for Cloud and Azure Purview
 </li>
 <li>
 Strong communication skills to act as a bridge between IT infrastructure teams and AI development squads
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 
 Benefits &amp; Growth Opportunities:
 
 
 
 <ul>
 <li>
 Competitive salary
 </li>
 <li>
 Visa Sponsorship for the successful individual.
 </li>
 <li>
 Comprehensive health insurance for the successful individual.
 </li>
 <li>
 Professional development and certification support
 </li>
 <li>
 Opportunity to work on cutting-edge AI projects
 </li>
 <li>
 Career advancement opportunities in a rapidly growing AI company
 
 
 </li>
 </ul>
 This position offers a unique opportunity to shape the future of AI implementation while working with a talented team of professionals at the forefront of technological innovation. The successful candidate will play a crucial role in driving our company's success in delivering transformative AI solutions to our clients.
 
 
 At DeepLight AI, we recognise that diversity drives innovation. We are committed to fostering an inclusive environment where individuals with different thinking styles can thrive and contribute their unique strengths to our specialised AI and data solutions.
 
 
 Our goal is to ensure our application and interview process is accessible, predictable, and fair for all candidates.
 
 
 If you require any specific adjustments to the application process, or if you require any reasonable adjustments should you be successful in being processed to the interview stage, please do let us know. This information will be kept strictly confidential and will not impact hiring decisions.
</div>

<div>DeepLight AI is a specialist AI and data consultancy with extensive experience implementing intelligent enterprise systems across multiple industries, with particular depth in financial services and banking. Our team combines deep expertise in data science, statistical modeling, AI/ML technologies, workflow automation, and systems integration with a practical understanding of complex business operations.
The ML Ops and DevOps Lead is a specialised technical role focused on bridging the gap between AI development and production-grade operations. You will design, deploy, and manage scalable AI solutions primarily across AWS and Azure environments, integrating Machine Learning Operations (MLOps) and Large Language Model Operations (LLMOps). By leveraging containerization, automated CI/CD pipelines, and robust data engineering, you will ensure that the Bank&rsquo;s AI-driven applications&mdash;including Generative AI and LLM agents&mdash;are secure, efficient, compliant, and highly available.
Your responsibilities as the MLOps and DevOps Lead include:<ul><li>
Design and deploy scalable AI infrastructure using GitHub Actions, EKS, ECS, and AWS Lambda; automate all resource provisioning via Terraform.</li><li>
Create and manage end-to-end CI/CD pipelines for model deployment, versioning, and lifecycle management using Azure DevOps and GitHub Actions.</li><li>
Deploy machine learning and large language models via Amazon SageMaker, EKS, and Azure ML Endpoints.</li><li>
Implement comprehensive monitoring for model performance and drift using Amazon CloudWatch, SageMaker Model Monitor, and OpenSearch.</li><li>
Integrate advanced services including Azure OpenAI, Azure Cognitive Services, and AWS Rekognition into enterprise workflows.</li><li>
Design robust data pipelines and real-time ingestion streams using AWS Glue, Amazon Redshift, Athena, and Apache Spark.</li><li>
Enforce cloud security through AWS WAF, Azure Key Vault, and RBAC, ensuring all deployments meet GDPR and ISO compliance standards.</li><li>
Supervise team activities and contribute to change initiatives in line with the Bank&rsquo;s continuous improvement standards.</li><li>
Supporting, Coaching and Mentoring more junior members of the team, when required</li><li>
Additional responsibilities on occasion, on management request</li></ul>
As an AI consultancy, our greatest asset is the expertise of our people. 
 
While technical mastery is the foundation of what we do, the ability to bridge the gap between complex data science and actionable business value is what defines your success with Deeplight. 
 
We're looking for individuals who are not only world-class in their fields of specialism, but also compelling communicators and persuasive advocates for their own skills. 
 
You will be the face of our firm, tasked with building trust, articulating the &quot;why&quot; behind your technical decisions, and effectively &quot;selling&quot; your vision to high-level stakeholders. 
 
If you thrive on the challenge of presenting cutting-edge solutions as much as you do on building them, you will fit right in. 
Requirements 
What we need from you:<ul><li>
A Bachelor&rsquo;s degree in Computer Science, AI, Software Engineering, Statistics, Mathematics, or a related quantitative field.</li><li>
A minimum of 5 years in designing and deploying AI solutions in cloud environments, specifically within MLOps/LLMOps frameworks.</li><li>
Proficiency with GitHub Actions, Spark, Redshift, MongoDB, and Azure Purview.</li><li>
Deep hands-on expertise in AWS (SageMaker, EKS, S3) and Azure (OpenAI, Cognitive Services) ecosystems.</li><li>
Mastery of Terraform for multi-cloud resource automation.</li><li>
Proven experience in both MLOps (standard ML) and LLMOps (Large Language Models), focusing on fine-tuning, orchestration, and monitoring.</li><li>
Expertise in managing container images via ECR/ACR and deploying via Kubernetes (EKS/AKS).</li><li>
Strong understanding of secure networking (WAF, NSGs) and secret management.</li></ul>
It would be beneficial if you also have: 
<ul><li>
Azure and/or AWS certifications (e.g., AWS Certified Machine Learning - Specialty or Azure AI Engineer Associate) are highly preferred.</li><li>
Ability to seamlessly manage workloads that span across both AWS and Azure.</li><li>
Skill in communicating complex technical infrastructure requirements to non-technical business stakeholders.</li><li>
Adaptability in troubleshooting model drift and performance bottlenecks in real-time agentic workflows.</li><li>
Proactive identification of new tools (e.g., Vector DBs, orchestration frameworks) to improve deployment velocity.</li></ul> 

Benefits 
Benefits &amp; Growth Opportunities:<ul><li>
Competitive salary.</li><li>
Visa Sponsorship for the successful individual.
</li><li>Comprehensive health insurance for the successful individual.
</li><li>Professional development and certification support.</li><li>
Opportunity to work on cutting-edge AI projects.</li><li>
Career advancement opportunities in a rapidly growing AI company.</li></ul>
This position offers a unique opportunity to shape the future of AI implementation while working with a talented team of professionals at the forefront of technological innovation. The successful candidate will play a crucial role in driving our company's success in delivering transformative AI solutions to our clients.
At DeepLight AI, we recognise that diversity drives innovation. We are committed to fostering an inclusive environment where individuals with different thinking styles can thrive and contribute their unique strengths to our specialised AI and data solutions.
Our goal is to ensure our application and interview process is accessible, predictable, and fair for all candidates.
If you require any specific adjustments to the application process, or if you require any reasonable adjustments should you be successful in being processed to the interview stage, please do let us know. This information will be kept strictly confidential and will not impact hiring decisions.</div>

ML Ops and DevOps Lead

EWEC

<div>
 
 
 About EWEC
 
 
 
 EWEC (Emirates Water and Electricity Company) is the sole procurer and supplier of water and electricity in the emirate of Abu Dhabi. EWEC drives the planning, forecasting, purchasing, and system despatch services of water and electricity. EWEC fulfils these vital responsibilities through the short-term and long-term balancing of bulk supply and demand for distribution companies and authorities in Abu Dhabi and other Emirates. EWEC is supporting the government of Abu Dhabi and the government of the UAE by enabling the reduction of cost whilst also providing the increased security of supply that comes from a cleaner, larger, and more integrated system.
 
 
 
 
 
 EWEC is mandated to implement strategic initiatives that will achieve the 60 per cent clean energy target outlined in the Abu Dhabi Department of Energy's (DoE) Clean Energy Strategic Target 2035 for Electricity Production in Abu Dhabi, in addition to enabling the achievement of UAE Water Security Strategy 2036, UAE Energy Strategy by 2050, and the UAE Net Zero by 2050 strategic initiative. EWEC is accelerating Abu Dhabi and the UAE&rsquo;s energy transition by diversifying the country&rsquo;s energy mix through developing and deploying renewable and clean energy as well as low-carbon intensive water desalination capacities. EWEC is part of ADQ, one of the region&rsquo;s largest holding companies with a broad portfolio of major enterprises spanning key sectors of Abu Dhabi&rsquo;s diversified economy. For more information, please visit www.ewec.ae.
 
 
 
 
 
 The
 
 Senior Cloud Engineer
 
 is responsible for defining and implementing the organization&rsquo;s cloud strategy through a comprehensive and enterprise-wide perspective, ensuring alignment with all business and regulatory requirements. The role oversees cloud systems architecture, installation, configuration, and ongoing optimization of cloud infrastructure services.
 
 
 The position leads the design, planning, execution, and continuous maintenance of cloud environments, ensuring high availability, performance, scalability, and security. Responsibilities include establishing performance and resource utilization metrics, actively monitoring infrastructure health, and ensuring adherence to agreed service levels.
 
 
 The Senior Cloud Engineer conducts root cause analysis for incidents, implements corrective and preventive measures, and proactively manages capacity across all cloud infrastructure environments. The role also drives automation of operational tasks, health checks, and performance monitoring processes, supports internal and external audit reporting requirements (including vendor audits and compliance exercises), and provides operational support outside regular working hours when required to ensure service continuity.
 
 
 
 Job Specific Responsibilities:
 
 
 
 
 Cloud Strategy &amp; Enterprise Architecture Alignment
 
 
 <ul>
 <li>
 Define and implement the organization&rsquo;s cloud strategy aligned with enterprise architecture principles, business capabilities, and long-term digital roadmap.
 </li>
 <li>
 Develop target-state cloud architecture and transition roadmaps aligned with EA standards and governance.
 </li>
 <li>
 Ensure cloud architecture decisions support scalability, resilience, security, cost optimization, and regulatory compliance.
 </li>
 <li>
 Contribute to enterprise technology standards, reference architectures, and architecture review boards.
 </li>
 <li>
 Assess financial and operational impact of cloud technology alternatives and provide strategic recommendations.
 </li>
 <li>
 Supports monitoring of the external environment and assessment of emerging technologies.
 </li>
 <li>
 Contributes to the creation of reports, technology road mapping and the sharing of knowledge and insights
 </li>
 <li>
 Maximize utilization on existing investments.
 </li>
 <li>
 Drive the success of cloud initiatives and lead the implementation of new features.
 </li>
 <li>
 Ensure correct and complete reporting, including performance and breaches against SLA
 </li>
 <li>
 Contribute to monitor and evaluate the infrastructure control environment, including self-assessments.
 </li>
 <li>
 Plan, organize and maintain standards for internal infrastructure control assessment and process control effectiveness
 </li>
 </ul>
 
 
 Cloud Infrastructure Architecture &amp; Engineering
 
 
 <ul>
 <li>
 Design, plan, and manage cloud systems architecture, installation, configuration, and integration.
 </li>
 <li>
 Develop and maintain scalable, secure, and resilient cloud environments.
 </li>
 <li>
 Ensure architecture consistency across cloud and on-premises environments.
 </li>
 <li>
 Oversee configuration management and architectural documentation standards.
 </li>
 <li>
 Takes responsibility for elements of a larger consulting engagement.
 </li>
 <li>
 Collaborates with clients as part of formal or informal consultancy engagements. Understands client requirements by collecting data and delivering analysis.
 </li>
 <li>
 Works collaboratively to develop and implement solutions. Seeks to address client needs within the defined scope of responsibility.
 </li>
 <li>
 Ensures that proposed solutions are properly understood and appropriately exploited.
 </li>
 </ul>
 
 
 Infrastructure Management &amp; Operations (Cloud &amp; On-Premises)
 
 
 <ul>
 <li>
 Plan, execute, and maintain infrastructure services across cloud and on-premises environments in alignment with enterprise service management practices.
 </li>
 <li>
 Establish performance, availability, and capacity metrics aligned with business SLAs for both cloud-based and on-premises systems.
 </li>
 <li>
 Proactively manage resource utilization, cost optimization, and infrastructure lifecycle across all deployment models.
 </li>
 <li>
 Monitor and optimize system software, configurations, and service reliability in hybrid environments.
 </li>
 </ul>
 
 
 Automation, Engineering Excellence &amp; Innovation (Cloud &amp; On-Premises)
 
 
 <ul>
 <li>
 Lead automation initiatives, including Infrastructure as Code (IaC), monitoring automation, and operational process optimization across cloud and on-premises environments.
 </li>
 <li>
 Promote DevOps, cloud-native, and on-premises engineering best practices to ensure consistent, efficient operations.
 </li>
 <li>
 Maximize return on technology investments through performance tuning and optimization for both cloud and on-premises infrastructure.
 </li>
 <li>
 Evaluate emerging technologies and recommend adoption aligned with enterprise architecture strategy for hybrid environments.
 </li>
 </ul>
 
 
 Incident, Problem, Risk &amp; Service Continuity Management (Cloud &amp; On-Premises)
 
 
 <ul>
 <li>
 Lead root cause analysis for critical incidents and ensure preventive controls are implemented across cloud and on-premises infrastructure.
 </li>
 <li>
 Identify technical risks, infrastructure debt, and architectural vulnerabilities in hybrid environments.
 </li>
 <li>
 Develop mitigation and contingency strategies to ensure business continuity and operational resilience.
 </li>
 <li>
 Ensure high availability, resilience, and disaster recovery readiness across all infrastructure environments.
 </li>
 <li>
 Analyses service and component availability, reliability, maintainability and serviceability.
 </li>
 <li>
 Contributes to the availability management process and its operation. Performs defined availability management tasks. Ensures that services and components meet and continue to meet all of their agreed performance targets and service levels.
 </li>
 <li>
 Implements arrangements for disaster recovery and documents recovery procedures. Conducts testing of recovery procedures.
 </li>
 </ul>
 
 
 Security, Governance &amp; Compliance (Cloud &amp; On-Premises)
 
 
 <ul>
 <li>
 Ensure cloud and on-premises solutions comply with enterprise security architecture and governance frameworks.
 </li>
 <li>
 Apply and maintain security controls aligned with risk management policies for hybrid infrastructure.
 </li>
 <li>
 Support internal, regulatory, and vendor audits across all environments.
 </li>
 <li>
 Maintain accurate documentation to support compliance, accreditation, and risk transparency.
 </li>
 </ul>
 
 
 Project, Stakeholder &amp; Technical Leadership
 
 
 <ul>
 <li>
 Act as Technical Lead and hybrid infrastructure Subject Matter Expert across enterprise initiatives.
 </li>
 <li>
 Support project lifecycle governance, including architecture validation, solution review, and acceptance testing for both cloud and on-premises systems.
 </li>
 <li>
 Define and manage infrastructure requirements, acceptance criteria, and traceability across hybrid deployments.
 </li>
 <li>
 Provide strategic technical advisory services to business and IT stakeholders regarding cloud and on-premises infrastructure strategies
 </li>
 </ul>
 
 
 
 
 
 Minimum Experience Level
 
 
 
 
 Technical Expertise
 
 
 <ul>
 <li>
 5+ years hands-on cloud experience; hybrid infrastructure knowledge.
 </li>
 <li>
 Proficient with IaC, automation (PowerShell/Python/Bash), Windows/Linux admin.
 </li>
 <li>
 Experience in HA/DR design, capacity planning, and cost optimization.
 </li>
 </ul>
 
 
 Experience &amp; Leadership
 
 
 <ul>
 <li>
 8&ndash;10 years IT Infrastructure/Cloud Engineering experience.
 </li>
 <li>
 Led medium-to-large cloud/infrastructure projects.
 </li>
 </ul>
 
 
 Security &amp; Compliance
 
 
 <ul>
 <li>
 Knowledge of ITIL, ISO 20000 or ISO 27000 , audit readiness, and regulatory compliance.
 </li>
 <li>
 Experience with security frameworks in hybrid cloud environments.
 </li>
 </ul>
 
 
 Mandatory Certifications
 
 
 <ul>
 <li>
 Azure Solutions Architect Expert.
 </li>
 <li>
 AWS or GCP certifications highly desirable.
 </li>
 </ul>
 
 
</div>

Lead- Cloud Engineer

Presight

<div>
 
 
 
 About The Role:
 
 
 
 
 Presight is seeking a Principal Solutions Architect &ndash; Financial Services to play a pivotal role in shaping, designing, and delivering large-scale AI-driven solutions for banks, insurers, capital markets firms, and regulators across the GCC and international markets.
 
 
 This is a senior, customer-facing role for an individual who combines deep Financial Services domain expertise with strong architectural leadership across data, AI, and cloud platforms. You will act as a trusted advisor to C-suite and senior technology leaders, helping institutions translate strategic business priorities into secure, scalable, and outcome-driven AI architectures.
 
 
 You will work closely with Presight&rsquo;s Financial Services leadership, product teams, and delivery partners to define industry-specific solutions, accelerate adoption, and shape Presight&rsquo;s go-to-market strategy across priority FSI clients.
 
 
 
 
 
 
 
 
 
 
 Responsibilities:
 
 
 
 
 
 FSI Client Advisory &amp; Solution Leadership
 
 
 <ul>
 <li>
 Serve as a lead architectural + technical authority for Financial Services engagements, advising clients on enterprise-grade AI, data, and cloud architectures aligned to regulatory and operational constraints.
 </li>
 <li>
 Engage directly with C-suite, CIOs, CTOs, CDOs, and Heads of Risk, Compliance, and Business Lines to shape AI-enabled transformation agendas.
 </li>
 <li>
 Translate complex FSI business challenges (e.g. risk, compliance, growth, customer intelligence, financial crime, operational efficiency) into end-to-end solution architectures.
 </li>
 </ul>
 
 
 
 
 
 Architecture &amp; Platform Design
 
 
 <ul>
 <li>
 Define secure, scalable, and sovereign-ready architectures spanning data platforms, AI/ML, GenAI, analytics, and cloud infrastructure
 </li>
 <li>
 Lead the design of industry-specific AI solutions across banking, insurance, payments, capital markets, and regulatory use cases
 </li>
 <li>
 Support solution design across hybrid, on-prem, and cloud environments, working closely with hyperscales and sovereign cloud platforms
 </li>
 </ul>
 
 
 
 
 
 Go-to-Market &amp; Industry Strategy
 
 
 <ul>
 <li>
 Act as a core member of the FSI go-to-market leadership team, supporting country and regional strategies
 </li>
 <li>
 Partner with sales and industry teams to shape propositions, solution narratives, and client-specific roadmaps
 </li>
 <li>
 Provide structured feedback to Presight&rsquo;s product and engineering teams to influence platform evolution based on real-world FSI requirements
 </li>
 </ul>
 
 
 
 
 
 Technical Leadership &amp; Enablement
 
 
 <ul>
 <li>
 Coach and mentor other architects, engineers, and delivery teams working on Financial Services engagements
 </li>
 <li>
 Lead executive workshops, whiteboarding sessions, and solution deep dives with both technical and non-technical stakeholders
 </li>
 <li>
 Represent Presight as a thought leader in client forums, industry events, and executive briefings
 </li>
 </ul>
 
 
 
 
 
 Delivery &amp; Execution Oversight
 
 
 <ul>
 <li>
 Support early-stage solution definition through implementation oversight, ensuring architectural integrity and alignment with client outcomes
 </li>
 <li>
 Collaborate with system integrators, technology partners, and internal delivery teams to ensure successful execution
 </li>
 </ul>
 
 
 
 
 
 
 
 
 
 Qualifications:
 
 
 
 <ul>
 <li>
 10+ years of experience across enterprise architecture, cloud, data, data analytics, AI/ML, or large-scale technology platforms
 </li>
 <li>
 Significant hands-on experience working with Financial Services institutions (banking, insurance, capital markets, payments, or regulators)
 </li>
 <li>
 Proven ability to define, evangelise and execute end-to-end technology roadmaps supporting large-scale transformation initiatives
 </li>
 <li>
 Strong track record engaging and influencing senior executives and C-level stakeholders
 </li>
 <li>
 Excellent analytical, communication, and stakeholder-facing presentation skills
 </li>
 <li>
 Proven experience working in Agile environments and leading distributed engineering teams
 </li>
 </ul>
 
 
 
 
 
 
 
 
 
 Technical Strengths
 
 
 
 <ul>
 <li>
 Deep understanding of:
 </li>
 <li>
 Distributed systems and large-scale data platforms
 </li>
 <li>
 Cloud and hybrid architectures
 </li>
 <li>
 AI / ML and emerging GenAI architectures
 </li>
 <li>
 Global security, governance, and regulatory considerations in FSI
 </li>
 <li>
 Comfortable operating across architecture, strategy, and execution rather than purely technical delivery
 </li>
 </ul>
 
 
 
 
 
 
 
 
 
 Communication &amp; Leadership
 
 
 
 <ul>
 <li>
 Exceptional communication skills with the ability to bridge business and technology conversations
 </li>
 <li>
 Highly confident in executive presentations, whiteboarding, and facilitation
 </li>
 <li>
 Natural mentor and coach with experience guiding senior engineers and architects
 </li>
 </ul>
 
 
 
 
 
 
 
 
 
 Preferred Qualifications:
 
 
 
 <ul>
 <li>
 Enterprise, microservices, and event-driven architecture patterns
 </li>
 <li>
 End-to-end infrastructure and platform architecture (cloud, hybrid, containerized
 </li>
 <li>
 environments) Cloud platforms: Azure (mandatory), G42 Cloud, Huawei Cloud, AWS GCP
 </li>
 <li>
 Frontend &amp; Backend technologies: JavaScript, HTML, CSS, React, Node.js
 </li>
 <li>
 AI/ML architectures and Python-based development
 </li>
 <li>
 Databases and data platforms: Oracle, MySQL, MongoDB, Maria
 </li>
 <li>
 DBAPI &amp; integration technologies: REST, SOAP, event streaming
 </li>
 <li>
 Identity &amp; Access Management: IAM, SSO, OAuth, AD/LDAP
 </li>
 <li>
 Containerization &amp; orchestration: Docker, Kubernetes
 </li>
 <li>
 Observability, logging, and performance tuning (e.g. ELK stack)
 </li>
 <li>
 DevOps &amp; CI/CD pipelines and automation
 </li>
 </ul>
</div>

Principal Solution Architect

<div>DeepLight AI is a specialist AI and data consultancy with extensive experience implementing intelligent enterprise systems across multiple industries, with particular depth in financial services and banking. Our team combines deep expertise in data science, statistical modeling, AI/ML technologies, workflow automation, and systems integration with a practical understanding of complex business operations.
The ML Ops and DevOps Engineer is a specialised technical role focused on bridging the gap between AI development and production-grade operations. You will design, deploy, and manage scalable AI solutions primarily across AWS and Azure environments, integrating Machine Learning Operations (MLOps) and Large Language Model Operations (LLMOps). By leveraging containerization, automated CI/CD pipelines, and robust data engineering, you will ensure that the Bank&rsquo;s AI-driven applications&mdash;including Generative AI and LLM agents&mdash;are secure, efficient, compliant, and highly available.
Your responsibilities as the MLOps and DevOps Engineer include:<ul><li>
Design and deploy scalable AI infrastructure using GitHub Actions, EKS, ECS, and AWS Lambda; automate all resource provisioning via Terraform.</li><li>
Create and manage end-to-end CI/CD pipelines for model deployment, versioning, and lifecycle management using Azure DevOps and GitHub Actions.</li><li>
Deploy machine learning and large language models via Amazon SageMaker, EKS, and Azure ML Endpoints.</li><li>
Implement comprehensive monitoring for model performance and drift using Amazon CloudWatch, SageMaker Model Monitor, and OpenSearch.</li><li>
Integrate advanced services including Azure OpenAI, Azure Cognitive Services, and AWS Rekognition into enterprise workflows.</li><li>
Design robust data pipelines and real-time ingestion streams using AWS Glue, Amazon Redshift, Athena, and Apache Spark.</li><li>
Enforce cloud security through AWS WAF, Azure Key Vault, and RBAC, ensuring all deployments meet GDPR and ISO compliance standards.</li><li>
Supervise team activities and contribute to change initiatives in line with the Bank&rsquo;s continuous improvement standards.</li></ul>
As an AI consultancy, our greatest asset is the expertise of our people. 
 
While technical mastery is the foundation of what we do, the ability to bridge the gap between complex data science and actionable business value is what defines your success with Deeplight. 
 
We're looking for individuals who are not only world-class in their fields of specialism, but also compelling communicators and persuasive advocates for their own skills. 
 
You will be the face of our firm, tasked with building trust, articulating the &quot;why&quot; behind your technical decisions, and effectively &quot;selling&quot; your vision to high-level stakeholders. 
 
If you thrive on the challenge of presenting cutting-edge solutions as much as you do on building them, you will fit right in. 
Requirements 
What we need from you:<ul><li>
A Bachelor&rsquo;s degree in Computer Science, AI, Software Engineering, Statistics, Mathematics, or a related quantitative field.</li><li>
A minimum of 5 years in designing and deploying AI solutions in cloud environments, specifically within MLOps/LLMOps frameworks.</li><li>
Proficiency with GitHub Actions, Spark, Redshift, MongoDB, and Azure Purview.</li><li>
Deep hands-on expertise in AWS (SageMaker, EKS, S3) and Azure (OpenAI, Cognitive Services) ecosystems.</li><li>
Mastery of Terraform for multi-cloud resource automation.</li><li>
Proven experience in both MLOps (standard ML) and LLMOps (Large Language Models), focusing on fine-tuning, orchestration, and monitoring.</li><li>
Expertise in managing container images via ECR/ACR and deploying via Kubernetes (EKS/AKS).</li><li>
Strong understanding of secure networking (WAF, NSGs) and secret management.</li></ul>
It would be beneficial if you also have: 
<ul><li>
Azure and/or AWS certifications (e.g., AWS Certified Machine Learning - Specialty or Azure AI Engineer Associate) are highly preferred.</li><li>
Ability to seamlessly manage workloads that span across both AWS and Azure.</li><li>
Skill in communicating complex technical infrastructure requirements to non-technical business stakeholders.</li><li>
Adaptability in troubleshooting model drift and performance bottlenecks in real-time agentic workflows.</li><li>
Proactive identification of new tools (e.g., Vector DBs, orchestration frameworks) to improve deployment velocity.</li></ul> 

Benefits 
Benefits &amp; Growth Opportunities:<ul><li>
Competitive salary.</li><li>
Visa Sponsorship for the successful individual.
</li><li>Comprehensive health insurance for the successful individual.
</li><li>Professional development and certification support.</li><li>
Opportunity to work on cutting-edge AI projects.</li><li>
Career advancement opportunities in a rapidly growing AI company.</li></ul>
This position offers a unique opportunity to shape the future of AI implementation while working with a talented team of professionals at the forefront of technological innovation. The successful candidate will play a crucial role in driving our company's success in delivering transformative AI solutions to our clients.
At DeepLight AI, we recognise that diversity drives innovation. We are committed to fostering an inclusive environment where individuals with different thinking styles can thrive and contribute their unique strengths to our specialised AI and data solutions.
Our goal is to ensure our application and interview process is accessible, predictable, and fair for all candidates.
If you require any specific adjustments to the application process, or if you require any reasonable adjustments should you be successful in being processed to the interview stage, please do let us know. This information will be kept strictly confidential and will not impact hiring decisions.</div>

ML Ops and DevOps Engineer

VCE Network Solutions

VCE Network Solutions is a technology-driven organization delivering advanced IT infrastructure, digital transformation, and intelligent systems across the UAE. We specialize in scalable enterprise solutions, secure cloud environments, and data-driven innovation for corporate and government clients.Position OverviewWe are seeking an experienced Machine Learning Lead to head our AI initiatives in Abu Dhabi. This role combines technical leadership with hands-on development, driving the design, deployment, and optimization of machine learning models that power business-critical systems.The ideal candidate will have strong expertise in ML engineering, data science, and production-grade AI deployment, along with proven experience leading technical teams.Key Responsibilities<ul><li>Lead the design and implementation of machine learning models and AI solutions</li><li>Define ML architecture standards and best practices</li><li>Oversee data preprocessing, feature engineering, and model training pipelines</li><li>Deploy models into production environments with scalability and reliability</li><li>Collaborate with product, engineering, and infrastructure teams</li><li>Mentor and manage ML engineers and data scientists</li><li>Ensure compliance with data governance and security standards</li><li>Monitor model performance and continuously optimize systems</li></ul>Required Qualifications<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, AI, or related field</li><li>5+ years of experience in machine learning or data science roles</li><li>Proven experience leading technical teams or projects</li><li>Strong proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn)</li><li>Experience with cloud platforms (AWS, Azure, or GCP)</li><li>Solid understanding of statistics, algorithms, and model evaluation techniques</li><li>Experience building and deploying production ML systems</li></ul>Preferred Skills<ul><li>Experience with NLP, computer vision, or predictive analytics</li><li>Knowledge of MLOps tools and CI/CD pipelines</li><li>Experience with big data technologies (Spark, Hadoop)</li><li>Familiarity with containerization and orchestration (Docker, Kubernetes)</li></ul>What We Offer<ul><li>Competitive executive-level compensation</li><li>Performance-based incentives</li><li>Opportunity to lead high-impact AI initiatives</li><li>Modern office environment in Abu Dhabi</li><li>Career growth within a rapidly expanding technology company</li></ul>VCE Network Solutions is committed to innovation, collaboration, and excellence. We welcome visionary professionals ready to shape the future of AI-driven enterprise solutions in the UAE.Job Types: Full-time, PermanentPay: AED35,000.00 - AED38,000.00 per month

Machine Learning Lead

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725 cloud ops engineering lead jobs In Abu Dhabi

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