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ai deployment lead

BRAIN

<div><h1 class="jobSectionHeader">About Brain Co.</h1>
Brain Co. is at the leading edge of productionizing artificial intelligence for real world problems, propelling advancements and shaping the future with pioneering work. Our mission is to ensure that the transformative powers and automation of AI are applied to real world problems in various governments where manual work is still dominant.
<h2 class="jobSectionHeader">About the Role</h2>
We&rsquo;re growing our AI Deployment team in Abu Dhabi and Doha. In this role, you'll work at the intersection of AI product delivery and customer engagement helping define, shape, and drive AI-powered solutions that address mission-critical challenges in finance, energy, and government sectors.
You&rsquo;ll collaborate closely with data scientists, engineers, and senior stakeholders to translate complex business needs into actionable technical solutions. As the voice of the customer, you&rsquo;ll lead agile delivery cycles, ensure high-quality outcomes, and foster long-term relationships built on trust and impact.<h2 class="jobSectionHeader">
Key Responsibilities</h2><ul><li>
Define &amp; Prioritize Features: Work with customers to identify high-impact problems and define AI-driven product features to address them.</li><li>
Translate Business Needs: Convert customer requirements into clear technical specifications and use cases for internal teams.</li><li>
Lead Agile Delivery: Oversee agile sprints and project timelines, ensuring timely and high-quality solution delivery.</li><li>
Drive Adoption: Travel regionally to engage with users, onboard stakeholders, and gather direct product feedback for continuous improvement.</li><li>
Collaborate Cross-Functionally: Serve as the bridge between customers and internal teams including data scientists, engineers, and product leads.</li><li>
Act as Customer Champion: Build trusted relationships and ensure the long-term success of deployed solutions.</li></ul><h2 class="jobSectionHeader"> 
What We&rsquo;re Looking For</h2><ul><li>
Experience:<ul><li>
3-5 years in customer success, product management, delivery consulting, or technical account management.</li><li>
Experience at top-tier product or consulting organizations (e.g., Palantir, Google, Amazon, BCG, McKinsey, etc.)
</li></ul></li><li>Technical Fluency:<ul><li>
Strong understanding of AI/ML concepts, data workflows, and model deployment processes.</li><li>
Ability to discuss and assess technical trade-offs with engineering teams.</li></ul></li><li>
Communication &amp; Relationship Skills:<ul><li>
Proven ability to build rapport and trust with enterprise customers and senior stakeholders.</li><li>
Excellent written and verbal communication, including the ability to simplify technical details for non-technical audiences.</li></ul></li><li>
Execution &amp; Ownership:<ul><li>
Hands-on mindset with a bias for action and a strong sense of ownership.</li><li>
Experience managing agile product or project delivery cycles.</li></ul></li><li>
Mobility:<ul><li>
Willingness to travel within the region to meet customers and oversee deployments on-site.</li></ul></li></ul><h2 class="jobSectionHeader"> 
Why Join Us?</h2><ul><li>
Work on transformative AI projects with high-impact clients.</li><li>
Join a collaborative, mission-driven team at the forefront of applied machine learning.</li><li>
Operate in a fast-paced, agile environment with real-world outcomes.</li></ul></div>

AI Deployment Lead

Oracle

<div>Qualifications &amp; Experience
<ul><li>8+ years of total experience, with 4+ years in AI/ML Engineering roles.
</li><li>Demonstrated experience leading end-to-end AI/ML solution design and production deployment.
</li><li>Proven track record in Generative AI, LLMs, NLP, and AI agent development.
</li><li>Expert in Python and familiar with modern ML/NLP frameworks: HuggingFace, LangChain, PyTorch, TensorFlow, etc.
</li><li>Experience fine-tuning LLMs for domain-specific applications (e.g., Q&amp;A systems, auto-documentation, predictive insights).
</li><li>Hands-on experience building, scaling, and optimizing AI systems on OCI, with knowledge of hybrid/multi-cloud architectures.
</li><li>Strong knowledge of machine learning algorithms, prompt engineering, vector databases, and RAG pipelines.
</li><li>Familiar with MLOps, model governance, and CI/CD for ML workflows.</li></ul></div>
 <div>Key Responsibilities
<ul><li>Architect, build, and deploy production-grade AI/ML models with a strong focus on GenAI, LLMs, and intelligent agents.
</li><li>Serve as a lead architect across multiple cross-functional teams delivering AI-enabled applications.
</li><li>Design scalable, cloud-native AI solutions using Oracle Cloud Infrastructure (OCI) and other multi-cloud platforms.
</li><li>Mentor teams on solution design, best practices, and delivery excellence for AI projects.
</li><li>Guide enterprise-wide AI architecture strategy, ensuring alignment with data strategy, DevOps, and security best practices.
</li><li>Engage with C-suite stakeholders to define AI priorities, value propositions, and roadmaps.
</li><li>Lead solution estimation, technical governance, and program oversight.
</li><li>Contribute to GTM initiatives, including customer-facing demos and proposal development.
</li><li>Stay current with the latest advancements in GenAI, LLM optimization, AI agent architectures, and model integration strategies.
</li>Publish internal whitepapers, present at leadership forums, and help grow the AI practice through coaching and community engagement. 
<li>
</li></ul><div></div>Core Competencies &amp; Technical Expertise
<ul><li>Enterprise Architecture &amp; AI Strategy
</li><li>Application Development (with focus on integrating AI into existing stacks)
</li><li>Multi-cloud &amp; Distributed Architecture (OCI expertise is a must; experience with AWS, Azure, or GCP also valuable)
</li><li>AI/ML Security &amp; Compliance
</li><li>DevOps &amp; Agile AI Delivery
</li><li>Integration &amp; Data Engineering Strategy
</li><li>Stakeholder Engagement &ndash; including Executive Leadership
</li><li>Program Oversight &amp; Governance
</li><li>Solution Design, Proposals, and Estimates
</li><li>Industry Vertical: Proficiency in at least one Industry vertical will be an added advantage.</li></ul></div>

AI Architect – GenAI, LLMs & AI Agents

Whiteshield

<div>Location: Barcelona, Spain (Hybrid)
Contract: Permanent
Start: Immediate / ASAP preferred
Whiteshield combines artificial intelligence with economic expertise to solve real policy challenges. Our AI Economics unit transforms complex data into actionable insights that shape how governments and businesses design policies, manage resources, and plan for growth.
As a Full-Stack Developer in Whiteshield&rsquo;s AI Economics Unit, you will build and scale modern, data-intensive web applications that power our policy advisory products and decision-support platforms. You will deliver end-to-end features across the stack, shipping Next.js/React front ends, Python (FastAPI) APIs, and PostgreSQL data models, while collaborating closely with economists, data scientists, and product teams to translate complex policy questions into intuitive, production-grade software.
This role suits an engineer who is comfortable owning features from design through deployment, has strong product judgment, and cares about performance, reliability, and clean architecture. Familiarity with .NET/C# is appreciated, particularly for middleware and enterprise integration scenarios.
Whiteshield&rsquo;s AI Economics Unit sits at the intersection of economic policy, data engineering, and applied AI. We design and deploy tools that help public-sector leaders understand economic systems, monitor outcomes, allocate budgets, and simulate policy scenarios using advanced analytics and machine learning.
Typical initiatives include:<ul><li>Interactive dashboards and decision platforms for ministries and public entities</li><li>Data pipelines integrating administrative and alternative data sources</li><li>Policy indices, forecasting models, and scenario simulators</li><li>AI-enabled workflows, including LLM-assisted insights, with strong governance and security</li></ul>
You will;<ul><li>Own end-to-end feature delivery from technical design through implementation, testing, deployment, and monitoring</li><li>Build high-quality front ends using Next.js and React, delivering responsive, accessible, and maintainable UI components</li><li>Design and implement backend services using Python and FastAPI, including RESTful APIs, validation, and performance optimization</li><li>Model, query, and optimize relational data layers in PostgreSQL, including schemas, indexing, migrations, and query tuning</li><li>Work within a container-first development workflow, building and running services with Docker as a default</li><li>Collaborate with cross-functional teams to translate policy and analytics needs into robust technical solutions</li><li>Implement authentication and authorization patterns such as OAuth2/JWT, role-based access, and audit-friendly logging</li><li>Contribute to integration and middleware patterns; .NET/C# experience is a plus for service orchestration and interoperability</li><li>Maintain strong engineering standards across code review, documentation, automated testing, and release hygiene</li><li>Build and operate CI/CD workflows using Azure DevOps, with familiarity expected for pipelines, artifacts, and release processes</li></ul>
Requirements<ul><li>2 to 5 years of professional experience delivering full-stack web applications in production environments</li><li>Strong proficiency with React and Next.js, including modern routing patterns, component design, and state management</li><li>Strong backend development skills with Python, ideally using FastAPI or equivalent frameworks</li><li>Solid experience with SQL and relational databases, particularly PostgreSQL</li><li>Hands-on experience with Docker for local development and deployment workflows</li><li>Working familiarity with Azure DevOps and DevOps pipelines, including CI/CD concepts and practical usage</li><li>Strong analytical mindset and attention to detail across security, performance, and UX</li><li>Fluency in English; Spanish and Arabic are assets</li></ul>
Nice to have:<ul><li>.NET / C# experience, especially for middleware, integration services, and enterprise deployments</li><li>Experience with cloud environments such as Azure or GCP</li><li>Experience with observability tooling, including structured logging, metrics, and tracing</li><li>Familiarity with data engineering practices such as ETL/ELT workflows and analytics-ready schemas</li><li>Exposure to integrating AI/LLM capabilities into products, including secure API usage and retrieval/embedding patterns</li><li>Experience implementing UI from Figma and using modern CSS approaches such as TailwindCSS</li></ul>
Benefits
Equal Opportunity and Inclusion: We are committed to an inclusive workplace where diverse perspectives are valued.
Impact at Scale: Build products that support high-stakes public-sector decision-making and economic policy delivery.
High Ownership Environment: Take meaningful responsibility in a fast-moving unit with strong engineering standards.
Hybrid Flexibility: A working model designed to support sustainable delivery and high performance.
Growth and Recognition: We support development through mentorship, challenging work, and clear progression opportunities.
Submit your CV and, if available, links to relevant work such as GitHub or shipped products. Shortlisted candidates will complete a structured technical interview focused on full-stack delivery, architecture judgment, and practical problem-solving.</div>

Full Stack Developer - AI

<div>
 
 Location:
 
 Barcelona, Spain (Hybrid)
 
 
 
 Contract:
 
 Permanent
 
 
 
 Start:
 
 Immediate / ASAP preferred
 
 
 Whiteshield combines artificial intelligence with economic expertise to solve real policy challenges. Our AI Economics unit transforms complex data into actionable insights that shape how governments and businesses design policies, manage resources, and plan for growth.
 
 
 As a Full-Stack Developer in Whiteshield's AI Economics Unit, you will build and scale modern, data-intensive web applications that power our policy advisory products and decision-support platforms. You will deliver end-to-end features across the stack, shipping Next.js/React front ends, Python (FastAPI) APIs, and PostgreSQL data models, while collaborating closely with economists, data scientists, and product teams to translate complex policy questions into intuitive, production-grade software.
 
 
 This role suits an engineer who is comfortable owning features from design through deployment, has strong product judgment, and cares about performance, reliability, and clean architecture. Familiarity with .NET/C# is appreciated, particularly for middleware and enterprise integration scenarios.
 
 
 Whiteshield's AI Economics Unit sits at the intersection of economic policy, data engineering, and applied AI. We design and deploy tools that help public-sector leaders understand economic systems, monitor outcomes, allocate budgets, and simulate policy scenarios using advanced analytics and machine learning.
 
 
 
 Typical initiatives include:
 
 
 
 <ul>
 <li>
 Interactive dashboards and decision platforms for ministries and public entities
 </li>
 <li>
 Data pipelines integrating administrative and alternative data sources
 </li>
 <li>
 Policy indices, forecasting models, and scenario simulators
 </li>
 <li>
 AI-enabled workflows, including LLM-assisted insights, with strong governance and security
 
 
 </li>
 </ul>
 You will;
 
 
 <ul>
 <li>
 Own end-to-end feature delivery from technical design through implementation, testing, deployment, and monitoring
 </li>
 <li>
 Build high-quality front ends using Next.js and React, delivering responsive, accessible, and maintainable UI components
 </li>
 <li>
 Design and implement backend services using Python and FastAPI, including RESTful APIs, validation, and performance optimization
 </li>
 <li>
 Model, query, and optimize relational data layers in PostgreSQL, including schemas, indexing, migrations, and query tuning
 </li>
 <li>
 Work within a container-first development workflow, building and running services with Docker as a default
 </li>
 <li>
 Collaborate with cross-functional teams to translate policy and analytics needs into robust technical solutions
 </li>
 <li>
 Implement authentication and authorization patterns such as OAuth2/JWT, role-based access, and audit-friendly logging
 </li>
 <li>
 Contribute to integration and middleware patterns; .NET/C# experience is a plus for service orchestration and interoperability
 </li>
 <li>
 Maintain strong engineering standards across code review, documentation, automated testing, and release hygiene
 </li>
 <li>
 Build and operate CI/CD workflows using Azure DevOps, with familiarity expected for pipelines, artifacts, and release processes
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 2 to 5 years of professional experience delivering full-stack web applications in production environments
 </li>
 <li>
 Strong proficiency with React and Next.js, including modern routing patterns, component design, and state management
 </li>
 <li>
 Strong backend development skills with Python, ideally using FastAPI or equivalent frameworks
 </li>
 <li>
 Solid experience with SQL and relational databases, particularly PostgreSQL
 </li>
 <li>
 Hands-on experience with Docker for local development and deployment workflows
 </li>
 <li>
 Working familiarity with Azure DevOps and DevOps pipelines, including CI/CD concepts and practical usage
 </li>
 <li>
 Strong analytical mindset and attention to detail across security, performance, and UX
 </li>
 <li>
 Fluency in English; Spanish and Arabic are assets
 
 
 </li>
 </ul>
 
 Nice to have:
 
 
 
 <ul>
 <li>
 .NET / C# experience, especially for middleware, integration services, and enterprise deployments
 </li>
 <li>
 Experience with cloud environments such as Azure or GCP
 </li>
 <li>
 Experience with observability tooling, including structured logging, metrics, and tracing
 </li>
 <li>
 Familiarity with data engineering practices such as ETL/ELT workflows and analytics-ready schemas
 </li>
 <li>
 Exposure to integrating AI/LLM capabilities into products, including secure API usage and retrieval/embedding patterns
 </li>
 <li>
 Experience implementing UI from Figma and using modern CSS approaches such as TailwindCSS
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 
 Equal Opportunity and Inclusion:
 
 We are committed to an inclusive workplace where diverse perspectives are valued.
 
 
 
 Impact at Scale:
 
 Build products that support high-stakes public-sector decision-making and economic policy delivery.
 
 
 
 High Ownership Environment:
 
 Take meaningful responsibility in a fast-moving unit with strong engineering standards.
 
 
 
 Hybrid Flexibility:
 
 A working model designed to support sustainable delivery and high performance.
 
 
 
 Growth and Recognition:
 
 We support development through mentorship, challenging work, and clear progression opportunities.
 
 
 Submit your CV and, if available, links to relevant work such as GitHub or shipped products. Shortlisted candidates will complete a structured technical interview focused on full-stack delivery, architecture judgment, and practical problem-solving.
</div>

GSSTech Group

<div><h3 class="jobSectionHeader">Role Overview</h3>
We are looking for a highly skilled Senior Automation Engineer with strong expertise in Node.js and full-stack development. The ideal candidate must have hands-on experience with AI code generation tools and the ability to leverage them to enhance development speed, code quality, and overall engineering efficiency.
This role requires strong backend capability, solid frontend exposure, and a deep understanding of scalable system design. Arabic language proficiency is mandatory.
Experience : 7+ years<h3 class="jobSectionHeader">
Key Responsibilities</h3><ul>
<li>Design, develop, and maintain full-stack applications using Node.js and React
</li><li>Build scalable and secure RESTful APIs and microservices
</li><li>Develop responsive and high-performance user interfaces
</li><li>Integrate and effectively utilize AI code generation tools (e.g., GitHub Copilot, Claude Code, Cursor) to accelerate development workflows
</li><li>Write clean, maintainable, scalable, and well-tested code
</li><li>Collaborate with cross-functional teams to define, design, and deliver features
</li><li>Participate in code reviews and enforce engineering best practices
</li><li>Troubleshoot, debug, and resolve production issues
</li><li>Contribute to CI/CD automation and deployment pipelines
</li></ul><h3 class="jobSectionHeader">Required Qualifications</h3><ul>
<li>8+ years of experience in full-stack development
</li><li>Strong proficiency in Node.js (Express, NestJS, or similar frameworks)
</li><li>Strong experience with TypeScript
</li><li>Hands-on experience with AI code generation tools and understanding of prompt engineering for coding
</li><li>Experience with SQL and NoSQL databases (PostgreSQL, MongoDB, Redis)
</li><li>Solid understanding of RESTful API design principles
</li><li>Experience with Git and CI/CD pipelines
</li><li>Strong problem-solving and debugging skills
</li><li>Fluent Arabic speaker (Mandatory)
</li></ul><h3 class="jobSectionHeader">Preferred Qualifications</h3><ul>
<li>Experience in Banking / Fintech domain
</li><li>Exposure to Microservices architecture
</li><li>Cloud platform experience (AWS / Azure / GCP)
</li><li>Experience working in Agile environments</li></ul></div>

Senior Automation Engineer - Node.js (Arabic Speaker)

Darktrace

<div>Darktrace is a global leader in AI for cybersecurity that keeps organizations ahead of the changing threat landscape every day. Founded in 2013, Darktrace provides the essential cybersecurity platform protecting nearly 10,000 organizations from unknown threats using its proprietary AI.
The Darktrace Active AI Security Platform&trade; delivers a proactive approach to cyber resilience to secure the business across the entire digital estate &ndash; from network to cloud to email. Breakthrough innovations from our R&amp;D teams have resulted in over 200 patent applications filed. Darktrace&rsquo;s platform and services are supported by over 2,400 employees around the world. To learn more, visit http://www.darktrace.com . 
Job D escription :
The Customer Success Engineer (CSE) is a member of the Customer Experience (CX) team at Darktrace. The CSE team is focused on providing existing Darktrace customers with technical product solutions. Responsibilities in this pursuit range and include supporting the adoption of the Darktrace platform and services within the customer environment; providing deployment health and value interventions; and identifying additional or new use cases for Darktrace usage within the customer environment, among other value-adding endeavors.
Darktrace is currently expanding the CSE team to accommodate a rapidly growing customer base and accelerating revenue. This role is a dynamic and varied customer focused technical management position. This position is a critical customer-facing technical role within the Darktrace CX organization which requires thorough knowledge of cybersecurity and the Darktrace product suite, as well as excellent communication and collaboration skills to work with a variety of customer stakeholders. A CSE will need to liaise internally with Darktrace Customer Success Managers, Renewals Managers, Analysts, Operations Engineers, and Sales members to ensure customer needs are met, and to sustain consistent renewal and growth of customer accounts.
 
 
What will I be doing:
 
 
Act as a Darktrace and security expert and consultant to customers.
<ul><li>Develop and maintain excellent, hands-on knowledge of the Darktrace solution, with the expectations of self-sufficiency and proficiency across all coverage areas of the Darktrace platform
</li><li>Conduct deployment discovery and architecture design reviews for existing customers to ensure maximum value delivery across Network, Email, and Cloud deployments
</li><li>Work towards and maintain relevant Darktrace certifications
</li><li>Have and use industry knowledge and experience to provide consultative guidance to customers on cybersecurity priorities and initiatives
</li><li>Understand and engage with the evolving cybersecurity landscape, and work towards/ maintain relevant external certifications on this knowledge as relevant
</li></ul>Work with customers to learn their priorities and map to technical solutions.
<ul><li>Develop and refine discovery techniques to work with customer contacts of various personas, from IT, Cloud, and Security administrators to C-Suite executives
</li><li>Document and utilize the values statements and needs of Darktrace customers
</li><li>Have a mindset of taking ownership over your quota number and KPIs to improve customer deployments and value delivery, and ultimately retention and expansion
</li></ul>Work with customers, peers, and stakeholders efficiently and reliably
<ul><li>Utilize strong, respectful communication to form productive relationships with customers, partners, peers, and cross-functional internal teams
</li><li>Demonstrate confident presentation skills
</li><li>Maintain organized and timely documentation, account administration, and updates of internal systems
</li><li>Be mentored by and in turn provide mentorship to members of the CSE team on areas of particular expertise
</li></ul>What experience do I need?
<ul><li>2+ years of experience in a relevant role, ideally with the cybersecurity industry (i.e: Customer Success Engineering, Technical Account Management, etc)
</li><li>Strong knowledge of both on-premise and cloud networking (AWS, Azure, GCP)
</li><li>Experience within the cyber security industry preferred
</li><li>Additional experience in one or more of the following areas also preferred: Email Security; Incident Response; Cloud Security Architecture
</li><li>Confident, polished communicator with a proven ability to build lasting, critical business relationships
</li><li>Fluency in Arabic and English is essential</li></ul> 
Benefits:
<ul><li>24 days&rsquo; holiday + All national public holidays,
</li><li>Additional day off for your birthday,
</li><li>Life insurance,
</li><li>Medical insurance,
</li><li>Employee Assistance Program.</li></ul></div>

Customer Success Engineer

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 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

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732 ai deployment lead jobs In Nursing Jobs In Dubai

AI Deployment Lead

AI Architect – GenAI, LLMs & AI Agents

Full Stack Developer - AI

Full Stack Developer - AI

Senior Automation Engineer - Node.js (Arabic Speaker)

Customer Success Engineer

Backend Engineer