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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

DICETEK LLC

<div>Principal Full Stack Engineer - Cloud FinOps Platform
Job Summary
We are seeking an experienced Principal Engineer to lead the technical design, architecture, and delivery of an enterprise-grade Multi-Cloud FinOps Platform. This role will own the end-to-end technical vision, mentor senior engineers, and drive architectural decisions across data engineering, cloud infrastructure, and application development.
Key Responsibilities<ul><li>Define and own the overall technical architecture for the CloudFin platform spanning Azure, AWS, and OCI integration</li><li>Lead architectural decisions for data lakehouse design, API layer, and frontend applications</li><li>Establish coding standards, design patterns, and best practices across the engineering team</li><li>Conduct architecture reviews and ensure alignment with enterprise security and compliance standards</li><li>Design the medallion architecture (Bronze/Silver/Gold) using Delta Lake and Databricks</li><li>Architect data ingestion pipelines from multiple cloud providers using Event Hubs, Azure Functions, and Delta Live Tables</li><li>Define data governance strategy using Unity Catalog including row-level and column-level security</li><li>Design cost allocation, chargeback, and shared cost distribution algorithms</li><li>Architect AKS deployment for backend microservices with proper scaling and resilience</li><li>Mentor and guide senior full-stack engineers on complex technical problems</li><li>Collaborate with product management (CCoE) to translate business requirements into technical specifications</li><li>Drive technical roadmap planning and sprint execution</li><li>Conduct code reviews and ensure high-quality deliverables</li></ul>
Required Technical Qualifications<ul><li>12+ years of software engineering experience with 5+ years in principal or staff engineer roles</li><li>5+ years of experience with cloud platforms, preferably Azure with exposure to AWS and OCI</li><li>3+ years of experience with data engineering and lakehouse architectures</li><li>Proven track record of delivering enterprise-scale platforms from inception to production</li><li>Expert-level proficiency in React, Python, and TypeScript</li><li>Deep experience with Databricks, Delta Lake, and Spark</li><li>Strong knowledge of Azure services including AKS, ADLS Gen2, Event Hubs, Azure Functions, and API Management</li><li>Proficiency in designing RESTful APIs and GraphQL services using FastAPI or similar frameworks</li><li>Strong understanding of CI/CD pipelines using Azure DevOps or GitHub Actions</li><li>Experience designing multi-cloud data integration solutions</li><li>Knowledge of FinOps principles and cloud cost management concepts</li><li>Understanding of enterprise security patterns including zero-trust architecture, private endpoints, and managed identities</li><li>Experience with event-driven architectures and streaming data platforms</li><li>Excellent communication skills with ability to present to technical and non-technical stakeholders</li><li>Strong problem-solving and decision-making abilities</li><li>Experience leading distributed engineering teams</li><li>Ability to balance technical excellence with business delivery timelines</li></ul></div>

Principal Full Stack Engineer - Cloud FinOps Platform

Analog

<div>
 
 Overview
 
 
 
 
 Overview
 
 
 
 Analog is pioneering the era of physical intelligence. Where digital intelligence transformed our online lives, Analog is transforming the lived world, making cities more adaptive, industries more resilient, services more human centered, and experiences more extraordinary.
 
 
 At the heart of our approach are living world models, continuously updated, enriched by every capture point, every device, every interaction. Within them resides Ana, the Analog Neural Agent. Ana perceives, adapts, and guides, transforming raw data into foresight and orchestration that improves outcomes across sectors, from safeguarding high-value assets to enhancing human performance.
 
 
 
 Role
 
 
 
 We are seeking a highly skilled and experienced
 
 Senior Backend Engineer
 
 to join our team as a backend developer. The ideal candidate will have strong experience in cloud and services, with a focus on large cloud, edge compute, and data transfer across multiple network protocols. Experience with containerized development and cloud-to-edge development patterns is highly preferred.
 
 
 As a
 
 Senior Backend Engineer,
 
 you will be responsible for designing and implementing scalable, high-performance, and reliable backend systems and services. You will work closely with cross-functional teams to identify and solve complex technical challenges and drive the development of innovative solutions.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design and implement scalable, high-performance, and reliable backend systems and services
 </li>
 <li>
 Work with cross-functional teams to identify and solve complex technical challenges
 </li>
 <li>
 Collaborate with team members to design and implement solutions to meet business and technical requirements
 </li>
 <li>
 Understand and apply best practices in software development, including agile methodologies, continuous integration, and test-driven development
 </li>
 <li>
 Maintain and improve existing systems and services.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's or master&rsquo;s degree in computer science or a related field
 </li>
 <li>
 Minimum of 5 years of experience in C#/C++ development with large scale, in-production services
 </li>
 <li>
 Strong experience in cloud and services, with a focus on large cloud, edge compute, and data transfer across multiple network protocols
 </li>
 <li>
 Experience with containerized development and cloud-to-edge development patterns highly preferred
 </li>
 <li>
 Proficiency in agile development methodologies and continuous integration practices
 </li>
 <li>
 Strong problem-solving skills and ability to work independently as well as in a team environment.
 </li>
 <li>
 Excellent communication and collaboration skills
 
 
 </li>
 </ul>
 
 What Working At Analog Offers
 
 
 
 <ul>
 <li>
 Culture: A collaborative, globally minded team building the future of physical intelligence. We value curiosity, courage, and creativity, and we&rsquo;re united by a belief that technology should amplify human potential rather than replace it.
 </li>
 <li>
 Impact: The opportunity to work on projects with national and global significance, from adaptive cities and resilient infrastructure to next generation sports, entertainment, healthcare, and energy. Every product you help build contributes to shaping a safer, smarter, more human centered world.
 </li>
 <li>
 Growth: Outstanding opportunities for learning and career development. You&rsquo;ll collaborate with leaders across AI, robotics, mixed reality, and systems engineering, while working on industry first, frontier scale solutions.
 </li>
 <li>
 Rewards: A competitive compensation package with healthcare, education support, and generous leave benefits, reflecting the high value we place on our people and their families.
 
 
 </li>
 </ul>
 
 If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.
 
</div>

Senior Backend Engineer

<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 Backend Engineer is a pivotal role within the Technology Services group, designed to drive digital transformation and innovation in banking. You will be responsible for developing scalable, AI-powered applications and Generative AI (GenAI) solutions that enhance core banking processes and customer digital journeys. By integrating advanced analytics, conversational AI, and cloud-native architectures, you will build secure, modular systems that bridge the gap between complex data requirements and strategic business outcomes. This role requires a blend of technical mastery in modern frameworks and a deep understanding of banking operations to deliver high-impact enterprise platforms.
As the Backend Engineer, your responsibilities will include:<ul>
<li>
Application Development: Design, build, and deploy full-stack, AI-powered web applications using microservices and RESTful APIs.</li>
<li>GenAI Integration: Implement Generative AI engineering principles, including Retrieval-Augmented Generation (RAG) and agentic workflows, into enterprise-grade digital platforms.</li>
<li>Architecture &amp; Design: Create modular, scalable architectures and establish documentation standards and reusable templates for AI projects.</li>
<li>Data Engineering: Design and implement robust data pipelines, pre-processing workflows, and governance frameworks to handle large, complex datasets.</li>
<li>DevOps &amp; Deployment: Manage containerization (Docker) and CI/CD pipelines to ensure automated, secure, and scalable deployments.</li>
<li>Collaboration: Act as an &quot;analytics translator&quot; between business units and IT, coordinating with UI/UX teams, Data Scientists, and AI Engineers to align technical builds with business growth.</li>
<li>Compliance &amp; Standards: Adhere to all organizational policies, service standards, and procedural instructions to ensure consistent, high-quality delivery.</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
The key requirements for this role are:<ul>
<li>
Proficiency in back-end frameworks (FastAPI, Flask, or Node.js) and front-end frameworks (React.js, Angular, or Vue.js).</li>
<li>Strong grasp of GenAI engineering, LLM integration (Azure OpenAI), and RAG workflows.</li>
<li>Hands-on experience with Azure or AWS ecosystems, including serverless deployments (Azure Functions/AWS Lambda) and cloud storage (S3, Blobs).</li>
<li>Advanced coding skills in Python and JavaScript/TypeScript.</li>
<li>Expert-level knowledge of Docker, container registries (ACR), and CI/CD automation.</li>
</ul>
You should also have the following:<ul>
<li>
A Bachelor&rsquo;s degree in a quantitative field such as Computer Science, Software Engineering, or a related discipline.</li>
<li>A minimum of 5+ years in professional software development.</li>
<li>Proven track record in building scalable, secure web applications and integrating AI models within a cloud-native environment (Azure preferred).</li>
<li>Advanced knowledge of banking operations, terminologies, and financial services products.</li>
</ul>
It would be preferable if you also have:<ul>
<li>
The ability to analyse complex banking products and services to drive innovation and decision-making.</li>
<li>Proven ability to translate complex technical/data requirements for non-technical internal stakeholders.</li>
<li>The capacity to manage and motivate team members to contribute to change initiatives and continuous improvement.</li>
<li>The ability to work effectively in an ad-hoc, fast-paced environment across different functional teams.</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>

Backend Engineer

Moreton Capital Partners

<div><h3 class="jobSectionHeader">Data Engineer - Systematic Commodities Hedge Fund</h3>
Moreton Capital Partners is a systematic commodities hedge fund preparing to launch live trading across global futures markets. Our research and trading systems rely on robust, scalable data infrastructure. We are looking for Data Engineers to help us design, build, and optimize that infrastructure alongside senior engineers and the CIO.
Key Responsibilities 
You&rsquo;ll work on projects such as:<ul>
<li>
Designing and maintaining data pipelines to collect, clean, and transform market and alternative datasets (e.g., futures, options, weather, satellite, fundamentals).</li>
<li>Building ETL workflows using Python (pandas/polars) and orchestration tools such as Airflow or Prefect.</li>
<li>Structuring data warehouses and APIs (SQL, Snowflake, or similar) for efficient query and analysis.</li>
<li>Developing data quality and monitoring systems for latency, completeness, and integrity.</li>
<li>Assisting in cloud deployments (AWS, Docker) and automation for data ingestion and versioning.</li>
<li>Collaborating with Quant Researchers to make research datasets reproducible and production-ready.</li>
<li>Contributing to internal documentation and code standards to ensure long-term maintainability.</li>
</ul>
Requirements<ul><li>
Strong programming skills in Python and familiarity with SQL.</li></ul><ul>
<li>Understanding of data structures, algorithms, and software engineering best practices.</li>
<li>Interest in large-scale data systems, cloud computing, or distributed processing.</li>
<li>Self-starter with curiosity and attention to detail.</li>
</ul>
Bonus points for: 
<ul>
<li>
Experience with Airflow, Docker, or AWS.</li>
<li>Familiarity with Snowflake, Polars, or Pandas workflows.</li>
<li>Exposure to financial or time-series data.</li>
<li>Understanding of CI/CD, version control, or testing frameworks.</li>
</ul>
Benefits<ul>
<li>
Real-world impact: Help build data systems that directly feed institutional-grade trading research and live execution.</li>
<li>Technical depth: Gain hands-on experience with distributed data pipelines, cloud infrastructure, and production data engineering.</li>
<li>Mentorship: Work closely with senior engineers, the CIO, and Quant Researchers on live projects.</li>
<li>Collaborative culture: Inclusive, high-trust team that values initiative and learning.</li>
<li>Compensation: Competitive stipend/salary based on experience.</li></ul></div>

Data Engineer - Systematic Commodities Hedge Fund

ERTIKAZ CONTRACTING & GENERAL MAINTAINANCE

Job Titles: Technical Office EngineerResponsibilities:o Monitoring daily construction, verifying work against drawings, and managing timelines/budgets.o Implementing quality control, reviewing work, and ensuring adherence to specifications.o Monitor all the drawings/documentation are correctly identified, distributed and filed/stored .o General document control activities such as photocopying, scanning, analysis of supplier&rsquo;s documents compliance with Project standards regarding numbering and all other aspect related to document quality.o Monitor technical documents review and approval in accordance with Engineer&rsquo;s comments and comply to all of their requirements.o Verified and reviewed material quantities for contractor work based on the approved BOQ.o Confirmed project milestones and progress payments.o Delivered technical reports to clients and stakeholders regarding contractor performance.o Supervised and coordinated construction activities to ensure adherence to technical specificationso Reviewed and coordinated executive drawings with tender documents to produce as-built drawings.Requirements:<ul><li>Software: ( AutoCAD-Revit -3ds Max -Photoshop &ndash; Primavera P6)</li><li>Microsoft Office (Word, Excel, PowerPoint).</li><li>BIM Tools: (Autodesk Construction Cloud, Navisworks, Dynamo)</li><li>Languages : Arabic &amp; English (Fluent in Speaking, Reading, and Writing)</li><li>Experience : Minimum of 3 years</li><li>Industry : Construction &amp; Contracting Companies</li><li>Location : UAE</li></ul>نوع الوظيفة: دوام كاملسؤال (أسئلة) طلب التقدم:<ul><li>Can you join immediately?</li><li>What is the required salary?</li></ul>الخبرة:<ul><li>Technical Office Engineer: 3 سنوات (مطلوب)</li></ul>

Technical Office Engineer

<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

Explore 299+ Cloud engineer in Abu Dhabi this February. Find roles across top companies and apply now to boost your career.