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ai solutions engineer

Luxoft

<div><div><h5 class="jobSectionHeader">Project description
</h5>The Principal Full-Stack Architect (.NET &amp; Cloud) is a senior technical leader responsible for defining and driving the architecture of enterprise-scale applications across cloud, backend, frontend, data, DevOps, and AI-enabled solutions. The role combines strategic technology leadership with hands-on technical expertise, ensuring that solutions are scalable, secure, maintainable, and aligned with business objectives
</div><div><h5 class="jobSectionHeader">Responsibilities</h5>
<div><div>Drive the full SDLC for Azure solutions: planning, requirement definition, development, testing, and quality assurance.
</div><div>Develop, enhance, and integrate modules within core applications used by front-office investment teams.
</div><div>Design and build containerized applications (Docker, Kubernetes/AKS) and cloud-native data stores (Mongo, SQL).
</div><div>Develop RESTful APIs, microservices, and event-driven systems (Service Bus, Event Hubs) with strict secure-integration standards (OAuth2/OIDC, managed identities).
</div><div>Build responsive, cloud-connected front-end interfaces (React/TypeScript; real-time via SignalR).
</div><div>Design and deliver AI-enabled capabilities: document intelligence, retrieval/search (AI Search), and Azure OpenAI-based workloads over structured and unstructured data.
</div><div>Configure, maintain, and optimize CI/CD pipelines and infrastructure-as-code (Bicep/ARM, Terraform); enable self-service engineering capabilities.
</div><div>Implement large-scale data processing and advanced analytics solutions in collaboration with architecture and data teams.
</div><div>Own incident management: troubleshooting, root cause analysis, and preventive measures.
</div><div>Partner directly with senior IT and business stakeholders; own the platform narrative, adoption strategy, and delivery roadmap.
</div><div>Mentor cross-functional teams on cloud-native and AI best practices
</div></div></div><div><h5 class="jobSectionHeader">Skills</h5>
Must have
<div><div>Must have:
</div><div>10+ years overall IT experience with a proven track record of architecting and delivering scalable cloud solutions through all SDLC phases.
</div><div>10+ years of .NET (C#) development within service-oriented and microservices architectures, including: ASP.NET Core / Web API, Entity Framework Core, async and concurrency patterns, and hands-on migration from .NET Framework to .NET 6/
</div><div>Production code on a current LTS version is expected; legacy-only (.NET Framework, WebForms) profiles do not qualify.
</div><div>7+ years hands-on Microsoft Azure: App Services, Functions, Logic Apps, AKS/Container Apps, APIM, Service Bus/Event Hubs, AI Search, AI Services/Azure OpenAI, Storage, Key Vault, Application Insights, Monitor. Skills:
</div><div>Demonstrated architecture ownership: solution/application architecture defined and delivered end-to-end at enterprise scale, including presenting architectural strategy to senior leadership. Candidates with purely implementation-level experience will not be considered.
</div><div>5+ years containerization and orchestration (Docker, Kubernetes/AKS) in production.
</div><div>5+ years Azure DevOps and CI/CD, including infrastructure-as-code (Bicep/ARM mandatory; Terraform preferred).
</div><div>Practical delivery of AI/GenAI workloads on Azure (Azure OpenAI, AI Search, document intelligence, or equivalent) &mdash; in production, within the last 24 months. Proof-of-concept-only or pre-2024 experience does not qualify.
</div><div>Deep database expertise: NoSQL (Mongo) and relational SQL, including data access patterns for AI use cases.
</div><div>Expertise in designing and consuming secure REST APIs; strong understanding of network architecture and authentication protocols (OAuth2/OIDC, managed identities).
</div><div>Modern front-end delivery: React/TypeScript with real-time capabilities (SignalR).
</div><div>Experience in regulated environments (financial services / investment management strongly preferred). Required certifications:
</div><div>Microsoft Certified: Azure Solutions Architect Expert: required. Applications without it are not shortlisted.
</div><div>Plus at least one of: Azure DevOps Engineer Expert or Azure AI Engineer Associate.
</div></div>Nice to have
<div><div>AWS and/or GCP exposure (multi-cloud evaluation experience)
</div><div>Terraform in production
</div><div>Python
</div><div>Databricks (recent, Unity Catalog-era experience) or comparable data/AI platforms; Palantir exposure
</div><div>Azure Security Engineer Associate
</div><div>Experience establishing self-service platforms for citizen developers
</div></div></div><div><h5 class="jobSectionHeader">Other</h5>
<div><div><div>Languages
English: C2 Proficient
</div></div><div><div>Seniority
Lead</div></div></div></div></div>
 <div><div><div>Abu Dhabi, United Arab Emirates
</div>Req. VR-123799
</div><div></div><div><div>C#/VB.NET
</div><div>BCM Industry
</div><div>07/07/2026
</div><div>Req. VR-123799</div></div></div>

Principal Full-Stack Architect (.NET & Cloud)

Atain

<div>
 
 
 Job Title: AI Engineer &ndash; Azure Databricks | Agentic AI | MCP Servers
 
 
 
 
 Experience:
 
 7&ndash;12 Years
 
 
 
 Location:
 
 Abu Dhabi, UAE
 
 
 
 
 
 
 Job Summary
 
 
 
 
 
 
 We are looking for an experienced
 
 AI Engineer
 
 with strong expertise in
 
 Azure Databricks, Agentic AI, and Model Context Protocol (MCP) Servers
 
 to design and develop next-generation AI solutions for enterprise applications. The ideal candidate will have hands-on experience in building LLM-powered applications, multi-agent systems, and scalable AI data pipelines. Experience in the
 
 Revenue Management domain
 
 is a strong advantage.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 
 <ul>
 <li>
 Design, develop, and deploy AI solutions using
 
 Azure Databricks
 
 , Python, and modern AI frameworks.
 </li>
 <li>
 Build and orchestrate
 
 Agentic AI
 
 applications using multi-agent architectures and autonomous workflows.
 </li>
 <li>
 Develop, integrate, and manage
 
 Model Context Protocol (MCP) Servers
 
 for secure tool and data access.
 </li>
 <li>
 Design and implement
 
 Retrieval-Augmented Generation (RAG)
 
 pipelines for enterprise AI applications.
 </li>
 <li>
 Fine-tune, evaluate, and optimize Large Language Models (LLMs) for business use cases.
 </li>
 <li>
 Build scalable data pipelines using
 
 PySpark
 
 , SQL, and Delta Lake on Azure Databricks.
 </li>
 <li>
 Integrate AI applications with enterprise systems, APIs, and cloud services.
 </li>
 <li>
 Collaborate with data engineers, product teams, and business stakeholders to deliver AI-driven solutions.
 </li>
 <li>
 Monitor AI model performance, ensure governance, security, and responsible AI practices.
 </li>
 <li>
 Stay updated with emerging AI technologies and recommend innovative solutions.
 </li>
 </ul>
 
 
 
 
 
 Required Skills
 
 
 
 
 
 <ul>
 <li>
 7&ndash;12 years of overall IT experience with strong AI/ML development expertise.
 </li>
 <li>
 Hands-on experience with
 
 Azure Databricks
 
 ,
 
 PySpark
 
 , Python, and SQL.
 </li>
 <li>
 Strong experience building
 
 Agentic AI
 
 solutions and multi-agent orchestration.
 </li>
 <li>
 Experience developing and deploying
 
 MCP Servers
 
 .
 </li>
 <li>
 Expertise in
 
 Large Language Models (LLMs)
 
 , Prompt Engineering, RAG, Vector Databases, and AI orchestration frameworks.
 </li>
 <li>
 Experience with
 
 Azure AI Services
 
 , Azure OpenAI, or similar cloud AI platforms.
 </li>
 <li>
 Knowledge of REST APIs, microservices, and cloud-native architectures.
 </li>
 <li>
 Strong problem-solving skills and ability to work in Agile environments.
 </li>
 </ul>
 
 
 
 
 
 About Atain:
 
 
 
 
 
 
 
 (http://www.atain.com)
 
 
 
 Atain is an enterprise orchestration partner that aligns people, processes, and platforms with AI to redefine work and deliver assured outcomes. It is enabled through the SMART Frameworkdriving superior metrics with AI-redefined work, the TechBud platform, a GenAI foundation built on zero-pilot architecture and ISO 42001 standards, a robust partner ecosystem, and deep domain expertise. Atain's Unified Hub continuously senses, predicts, and re-orchestrates work across people, processes, and platforms to deliver assured outcomes. The centers of skill and scale combine deep expertise with AI to deliver assured outcomes. For more information, visit www.atain.com
 
 
 
 
 
 Atain is ISO 27001:2013, CMMI SVC Level 5 and ISAE-3402 compliant for IT, and COPC Certified v6.0, ISO 27001:2013 and PCI DSS 3.2 certified for BPO processes. The organization follows Six Sigma rigor for process improvements.
 
 
 
 
 
 It is our policy to provide equal employment opportunities to all individuals based on job-related qualifications and ability to perform a job, without regard to age, gender, gender identity, sexual orientation, race, color, religion, creed, national origin, disability, genetic information, veteran status, citizenship or marital status, and to maintain a non-discriminatory environment free from intimidation, harassment or bias based upon these grounds.
 
</div>

Artificial Intelligence Engineer

Discovered MENA

<div>
 
 
 AI Software Engineer
 
 
 
 
 
 
 
 Location:
 
 Abu Dhabi
 
 
 
 Package:
 
 30,000 - 35,000 AED per month TAX FREE plus benefits
 
 
 
 Duration:
 
 Permanent
 
 
 
 
 
 I am currently partnered with a brilliant company committed to delivering cutting-edge solutions and enhancing user experiences for various sectors. Their mission is to empower teams with innovative technologies that optimise operations and facilitate efficient issue resolution.
 
 
 
 
 
 We are currently seeking a highly skilled and enthusiastic AI Software Engineer with expertise in Python &amp; AI to join the team in Abu Dhabi.
 
 
 
 
 
 Responsibilities:
 
 
 Conduct in-depth research, design, and development of advanced cellular communications solutions
 
 
 Design and implement systems based on cutting-edge methodologies such as Domain-Driven Design, Reactive Architecture, and Actor model.
 
 
 Develop and maintain CI/CD pipelines, perform comprehensive unit tests, integration tests, and end-to-end tests.
 
 
 Collaborate closely with a team of experienced developers, system architects, and product managers to deliver top-quality technical solutions.
 
 
 Contribute to crucial technological and architectural decisions.
 
 
 Work collaboratively in agile, multidisciplinary teams, embracing Agile principles, methodologies, and tools.
 
 
 
 
 
 Requirements:
 
 
 Expertise in Python with a strong grasp of asynchronous programming and concurrency patterns.
 
 
 Experience building high-performance APIs, ideally using modern Python frameworks.
 
 
 Skilled in integrating and orchestrating LLM-based systems, including function-calling and local model setup.
 
 
 Practical understanding of prompt design and AI-driven workflow optimisation.
 
 
 Hands-on experience with retrieval-augmented generation (RAG) concepts&mdash;such as text segmentation, embeddings, and vector databases (e.g., Milvus, FAISS, Pinecone).
 
 
 Proficient in data handling and validation using Python data frameworks and schema-based approaches.
 
 
 Comfortable working with real-time communication protocols (e.g., WebSockets, Server-Sent Events, gRPC, REST).
 
 
 Knowledge of containerization and deployment pipelines using Docker and CI/CD tools.
 
 
 Experience writing automated tests and maintaining high code quality with Python testing frameworks.
 
 
 Understanding of message-driven architectures and queueing systems (e.g., RabbitMQ).
 
 
 Awareness of GPU-accelerated environments and performance tuning for compute-intensive tasks.
 
 
 Strong command of the English language, both spoken and written (upper-intermediate level).
 
</div>

AI Software Engineer

Klanik

<div>
 
 🚀
 
 Hiring: AI Engineer
 
 
 
 
 
 
 📍
 
 Location:
 
 Abu Dhabi, UAE
 
 
 
 
 
 We are looking for an experienced
 
 AI Engineer
 
 to design, develop, and deploy scalable AI solutions for enterprise applications. This role combines AI/ML engineering, data engineering, and modern software development to build intelligent, production-ready systems powered by large language models and advanced AI technologies.
 
 
 
 
 
 🔹
 
 Key Responsibilities
 
 
 
 
 
 
 &bull; Strong data-engineering foundation &mdash; data pipelines, ETL / ELT &amp; data modelling
 
 
 &bull; Big-data &amp; streaming (Spark, Kafka, Airflow); data lakehouse/warehouse (Databricks, Snowflake)
 
 
 &bull; Python (FastAPI), Node.js &bull; Agentic AI systems (LLMs, Agents, Tool Calling, Multi-Agent Orchestration)
 
 
 &bull; RAG, Knowledge Graphs &amp; Vector Databases (Qdrant, Milvus, FAISS)
 
 
 &bull; AI workflow orchestration &amp; event-driven architectures
 
 
 &bull; AI/ML model deployment &amp; inference optimization
 
 
 &bull; REST APIs, microservices &amp; distributed systems
 
 
 &bull; Integration of AI services with enterprise applications and data platforms
 
 
 
 
 
 🔹
 
 
 Languages
 
 :
 
 
 
 &middot; English
 
 
 . Excellent communication, verbal and written skills.
 
 
 
 
 
 Are you looking for a great opportunity to be part of an amazing challenge with great development possibilities? This job is for you !!!
 
 
 
 
 
 
 
 About KLANIK:
 
 
 
 
 Klanik is an IT consulting company providing solutions to some of the world&rsquo;s largest industrial and services groups for 14 years. We support our clients with the creation and development of their new products and services around 4 main business lines:
 
 
 
 
 
 ➜ Information Technology and Systems (IT &amp; IS)
 
 
 ➜ DevOps and Cloud
 
 
 ➜ Big Data and AI
 
 
 ➜ Cybersecurity
 
 
 
 
 
 Klanik is a community of +500 passionate experts empowering clients in 6 countries throughout Europe, Middle East and the Americas.
 
 
 Our Team is dedicated to offer our global clients project support while guaranteeing a consistent level of service alongside a commitment to excellence and strong core values.
 
 
 We&rsquo;re always looking for smart, talented, driven, down-to-earth, fun-to-work-with people who want to make a positive and meaningful impact!
 
 
 
 
 
 
 
 Being a &ldquo;KLANIK&rdquo;
 
 
 
 
 That means being an out of the box thinker, a precursor who is keen to create, innovate and collaborate in an environment where you can enjoy being yourself and valued for your ideas. It&rsquo;s being part of a community of experts that have a passion for and stay abreast of the latest technologies.
 
 
 You feel like a technology pioneer, full of creative ideas, supported by a strong know how and expertise in the latest technologies? We believe you could be a good fit to our culture!
 
 
 
 
 
 
 
 Our culture is our pride
 
 
 
 
 
 
 
 At Klanik, we believe that we are stronger together than we are alone. Trust, ethics, respect and transparency are deeply fixed in our culture, alongside with the pride in a job well done.
 
 
 Our community motto is that people give the best of them when they feel listened, respected and empowered to develop themselves. Therefore the better we treat our people, the bigger the success they will achieve. We apply those values on day to day basis among our teams, with our clients and even with our competitors.
 
 
 Being part of the Klanik community means relying on each other, learning from each other&rsquo;s and growing all together. Our community fosters creativity, innovation and development within our teams to tackle more and more complex challenges and deliver the best solutions to our clients.
 
</div>

AI Engineer

<div>
 
 Job Description
 
 
 
 
 Who we are
 
 
 
 With over 14,000 professionals globally, GHD is a leading multidisciplinary professional services company delivering engineering, design, and advisory solutions across water, energy, resources, environment, property &amp; buildings, and transportation sectors.
 
 
 
 About The Role
 
 
 
 We are seeking an experienced and driven Lead Electrical Engineer to join our Global Data Centre Design Team (Mission Critical), based in our UAE offices. This is a high-profile leadership role for a technically accomplished engineer with a proven track record in the design and delivery of complex data centre projects.
 
 
 You will have the opportunity to lead the electrical engineering design on some of the most advanced AI and hyperscale data centre projects worldwide. These projects range from deploying and refining standardised, high-performance designs for global clients to delivering fully bespoke, cutting-edge facilities that set new benchmarks for innovation, resilience, and sustainability.
 
 
 You will play a central role in influencing future data centre design approaches, working closely with clients, multidisciplinary teams, and industry experts to deliver efficient, sustainable, and commercially viable engineering solutions that meet the rapidly evolving demands of AI-driven infrastructure.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Lead the electrical design for mission critical facilities, covering all aspects including medium and low voltage power distribution, UPS systems, standby generation, lighting, earthing, and lightning protection.
 </li>
 <li>
 Drive technical excellence by producing high-quality designs, specifications, reports, and calculations in accordance with client requirements, local regulations, and international standards.
 </li>
 <li>
 Conduct load assessments, redundancy strategy planning, fault/discrimination studies, and resilience planning for high-availability facilities.
 </li>
 <li>
 Coordinate with mechanical, structural, ICT, security, and other disciplines to ensure integrated, clash-free, and optimised designs.
 </li>
 <li>
 Provide technical leadership and mentoring, supporting the growth of less experienced engineers and fostering a culture of continuous improvement.
 </li>
 <li>
 Oversee project budgets, deliverables, and programmes, ensuring compliance with contractual and quality requirements.
 </li>
 <li>
 Maintain direct client engagement, presenting solutions, managing expectations, and offering proactive technical input during all project phases.
 </li>
 <li>
 Contribute to the development, adaptation, and improvement of client standard reference designs, as well as the design of bespoke facilities.
 </li>
 <li>
 Champion innovation, integrating energy efficiency, sustainability, and emerging technologies into design strategies.
 
 
 </li>
 </ul>
 
 Experience &amp; Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Electrical Engineering (Master&rsquo;s degree or Chartered Engineer status preferred).
 </li>
 <li>
 Minimum 10 years&rsquo; relevant experience, with at least 3 years in mission critical and/or data centre projects.
 </li>
 <li>
 Proven expertise in MV/LV distribution systems, UPS and generator systems, and advanced redundancy schemes.
 </li>
 <li>
 Strong understanding of cooling integration, ICT systems, and commissioning processes specific to high-availability environments.
 </li>
 <li>
 Familiarity with hyperscale and AI data centre design considerations is highly desirable.
 </li>
 <li>
 Proficiency in ETAP, Amtech, AutoCAD, Revit, and other relevant design tools.
 </li>
 <li>
 Track record of producing detailed designs including schematic diagrams, fault and discrimination studies, technical reports, and specifications.
 </li>
 <li>
 Strong leadership, problem-solving, and stakeholder management skills.
 </li>
 <li>
 Excellent communication skills with the ability to lead discussions, influence decision-making, and collaborate across multiple disciplines.
 
 
 </li>
 </ul>
 
 Why Join Us?
 
 
 
 <ul>
 <li>
 Work on globally significant projects, influencing the next generation of AI and hyperscale data centre design.
 </li>
 <li>
 Be part of a globally recognised, fast-growing mission critical team delivering projects that blend technical excellence, sustainability, and commercial success.
 </li>
 <li>
 Collaborate in a multi-disciplinary, innovative environment where your input shapes both standardised and bespoke solutions.
 </li>
 <li>
 Join a team that values knowledge-sharing, mentorship, and professional excellence.
 </li>
 <li>
 Be part of a workplace that combines collaboration, flexibility, and connection. Join us in the office three days per week to contribute, connect and excel in our vibrant environment.
 
 
 </li>
 </ul>
 
 Our Pledge to You
 
 
 
 At GHD, we don&rsquo;t just believe in the power of commitment, we live and breathe it every day.
 
 
 That&rsquo;s why we pledge to empower our people to make a positive impact. Combining our deep technical expertise with the capabilities of our clients and partners, we respond to some of the most complex challenges facing our planet today.
 
 
 See where your commitment could take you.
 
 
 That&rsquo;s the
 
 #PowerOfCommitment
 
</div>

Lead Electrical Engineer- Mission Critical (Data Centres)

Deeplight

<div>DeepLight AI is a specialist AI and data consultancy dedicated to transforming the regional corporate landscape through bespoke, high-impact intelligent systems. Based in the UAE, we partner with organizations across diverse sectors&mdash;with a deep-rooted expertise in Financial Services and Banking&mdash;to bridge the gap between complex data and actionable business strategy.
At DeepLight, we don't believe in &quot;off-the-shelf&quot; fixes. We deliver tailored AI solutions designed to integrate seamlessly into existing enterprise architectures, ensuring that innovation is both scalable and secure. From building robust data foundations to deploying sophisticated AI platforms, we empower our clients to lead in an increasingly automated world.
As a Senior Full Stack AI Engineer, you will be the ultimate bridge between advanced data science and enterprise-scale software architecture. This role is designed for a rare breed of engineer: someone who possesses the deep mathematical and modeling background required to design advanced AI and Generative AI systems, paired with the full-stack infrastructure capabilities needed to deploy, containerize, scale, and monitor them across hybrid, cloud, and on-premise environments.
Operating within complex client landscapes&mdash;such as premier banking and financial institutions (e.g., ADCB)&mdash;you will own the full engineering lifecycle of AI applications. You will design secure, highly performant systems, orchestrate massive data pipelines, optimize cloud spend, and establish robust MLOps practices that guarantee production stability.
Key ResponsibilitiesEnd-to-End AI Architecture &amp; Full-Stack Design<ul><li>
Architect end-to-end, highly secure AI and Generative AI systems capable of running seamlessly across both secure on-premise data centers and public cloud infrastructures (Azure/AWS).</li><li>
Design, build, and optimize high-throughput, secure APIs to serve complex AI models and agentic workflows to consuming client applications.</li><li>
Seamlessly integrate proprietary cloud foundation models (GPT, Claude, Gemini) and fine-tuned open-source models into unified software ecosystems.</li></ul>
Deep Learning &amp; Advanced AI Engineering<ul><li>
Leverage a deep theoretical understanding of Transformers, PyTorch, and TensorFlow to implement, evaluate, and optimize deep learning models across NLP and Computer Vision domains.</li><li>
Design scalable knowledge retrieval frameworks using embedding models and enterprise-grade Vector Databases (e.g., Azure DocumentDB, Elasticsearch, Faiss).</li><li>
Build and evaluate robust systematic prompting frameworks and compile complex models using ONNX for optimized, low-latency production inference.</li></ul>
Infrastructure, MLOps &amp; FinOps<ul><li>
Own the containerization and scaling of AI services utilizing Docker and Kubernetes clusters across development and production environments.</li><li>
Build and automate robust MLOps continuous integration and deployment pipelines to track model lineage, versions, evaluations, and production drift.</li><li>
Implement strict FinOps practices to track, monitor, and radically optimize token usage, cloud compute consumption, and inferencing costs.</li><li>
Architect and optimize large-scale data processing systems using modern Big Data tools to feed raw information into AI training and embedding workflows.</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 
We need you to have:<ul><li>
Extensive experience designing, launching, and managing containerized AI/ML or data-intensive applications in highly regulated enterprise environments.</li><li>
A proven track record applying deep learning models across both Natural Language Processing (NLP) and Computer Vision (CV) fields.</li><li>
Practical experience implementing production-grade model monitoring frameworks and optimizing complex cloud/token expenditure.</li><li>
Deep operational command of Docker and enterprise Kubernetes infrastructure for running distributed AI applications.</li><li>
Expert-level knowledge of Azure (or alternative major clouds) alongside a strong architectural grasp of on-premise deployment constraints, data security, and network topologies.</li><li>
Strong proficiency in Big Data toolsets and modern API gateway designs.</li><li>
A rigorous, foundational grasp of transformer architectures, embedding mechanics, and deep learning implementations via PyTorch/TensorFlow.</li><li>
High proficiency across SQL, NoSQL, and Vector Database engines.</li><li>
&quot;Perfect-tier&quot; software engineering skills in Python and advanced data processing techniques.</li></ul>
It would also be great if you have:<ul><li>
An MSc or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a highly relevant quantitative discipline.</li><li>
Deep domain experience within banking, understanding strict data residency laws, financial compliance protocols, and legacy core banking interactions.</li><li>
Practical experience with agentic frameworks (e.g., LangChain, LlamaIndex, AutoGen) and modern cloud MLOps suites (e.g., Azure AI Studio, Kubeflow).</li></ul> 
Benefits 
The benefits you'll enjoy as part of this role include: 
<ul><li>
Competitive salary
</li><li>Comprehensive personal health insurance
</li><li>Visa Sponsorship for the successful individual</li><li>
Professional development and certification support</li><li>
Subscription reimbursement relating to your role</li><li>
Opportunity to work on cutting-edge AI projects</li><li>
Monthly Employee Incentive program</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>

Senior Full Stack Engineer

<div>
 
 
 🚀
 
 Hiring: Machine Learning Engineer
 
 
 
 
 
 
 📍
 
 Location:
 
 Abu Dhabi, UAE
 
 
 
 
 
 We are looking for a talented
 
 Machine Learning Engineer
 
 to design, build, and deploy scalable machine learning models and AI solutions. This role combines model development, data engineering, and production deployment to deliver innovative, high-impact AI applications.
 
 
 
 
 
 🔹
 
 Key Responsibilities
 
 
 
 
 
 
 &bull; Model deployment using Docker, Kubernetes
 
 
 &bull; Model optimization (TensorRT, OpenVINO, ONNX, triton, sparsing, pruning)
 
 
 &bull; CI/CD pipelines for ML (Git, Jenkins, GitHub Actions)
 
 
 &bull; Integration with backend &amp; edge devices
 
 
 &bull; Performance tuning (latency, throughput, FPS)
 
 
 &bull; Monitoring model drift &amp; production performance
 
 
 &bull; Strong Python &amp; system design skills
 
 
 &bull; Experience with inference pipelines for video streams
 
 
 
 
 
 🔹
 
 Qualifications:
 
 
 
 
 
 
 Bachelor's or Master's degree in Computer Science, Machine Learning, Data Science, AI, or a related field.
 
 
 Additional qualifications, such as certifications or publications in the field of machine learning, are a plus
 
 
 
 
 
 🔹
 
 
 Years of Experience
 
 
 
 
 
 
 
 5 to 9 years of experience
 
 
 
 
 
 🔹
 
 
 Languages
 
 :
 
 
 
 
 
 
 &middot; English
 
 
 . Excellent communication, verbal and written skills.
 
 
 
 
 
 Are you looking for a great opportunity to be part of an amazing challenge with great development possibilities? This job is for you!
 
 
 
 
 
 
 
 About KLANIK:
 
 
 
 
 
 
 
 Klanik is an IT consulting company providing solutions to some of the world&rsquo;s largest industrial and services groups for 10 years.
 
 
 We support our clients with the creation and development of their new products and services around 4 main business lines:
 
 
 
 
 
 ➜ Information Technology and Systems (IT &amp; IS)
 
 
 ➜ DevOps and Cloud
 
 
 ➜ Big Data and AI
 
 
 ➜ Cybersecurity
 
 
 
 
 
 Klanik is a community of +500 passionate experts empowering clients in 6 countries throughout Europe, the Middle East, and the Americas. Our Team is dedicated to offering our global clients project support while guaranteeing a consistent level of service alongside a commitment to excellence and strong core values. We&rsquo;re always looking for smart, talented, driven, down-to-earth, fun-to-work-with people who want to make a positive and meaningful impact!
 
 
 
 
 
 
 
 Being a &ldquo;KLANIK&rdquo;
 
 
 
 
 
 
 
 That means being an out-of-the-box thinker, a precursor who is keen to create, innovate, and collaborate in an environment where you can enjoy being yourself and be valued for your ideas. It&rsquo;s being part of a community of experts who have a passion for and stay abreast of the latest technologies.Do you feel like a technology pioneer, full of creative ideas, supported by strong know-how and expertise in the latest technologies? We believe you could be a good fit to our culture!
 
 
 
 
 
 
 
 Our culture is our pride
 
 
 
 
 At Klanik, we believe that we are stronger together than we are alone. Trust, ethics, respect, and transparency are deeply fixed in our culture, alongside with the pride in a job well done.
 
 
 Our community motto is that people give the best of them when they feel listened to, respected and empowered to develop themselves. Therefore the better we treat our people, the bigger the success they will achieve. We apply those values on day to day basis among our teams, with our clients and even with our competitors.
 
 
 Being part of the Klanik community means relying on each other&rsquo;s, learning from each other&rsquo;s and growing all together. Our community fosters creativity, innovation and development within our teams to tackle more and more complex challenges and deliver the best solutions to our clients.
 
 
 
 
</div>

Machine Learning Engineer

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