planning engineer

civil engineer

software engineer

mechanical engineer

project engineer

ai engineer

Contango

<div>About the Role
The future of AI doesn&rsquo;t just depend on smarter models, it depends on the systems that bring them to life. 
We&rsquo;re building those systems. 
As an AI Systems Engineer, you&rsquo;ll design and deploy intelligent architectures powered by LLMs, multi-agent systems, and RAG pipelines. You&rsquo;ll operate where AI research meets real-world engineering, transforming cutting-edge ideas into scalable products that automate complex business processes and deliver measurable impact.
This is a hands-on role for builders who love both innovation and execution - crafting autonomous AI workflows, integrating diverse APIs, and deploying production-grade AI systems in modern SaaS environments. 
Key Responsibilities<ul>
<li>
Architect and build end-to-end AI solutions leveraging LLMs, LangGraph, and FastAPI, enabling intelligent automation for enterprise-scale applications</li>
</ul><ul><li>Design, build, and optimize multi-agent frameworks for coordination, tool use, and autonomous reasoning. Implement StateGraph or similar orchestration frameworks for complex, interdependent workflows</li>
<li>Develop and deploy RAG systems using Azure AI Services or equivalent &mdash; handling document ingestion, vector database integration, and context-aware retrieval for personalized user experiences</li>
<li>Create conversational AI agents that understand multi-turn context, perform task automation (e.g., candidate/job creation, document summarization), and enhance decision-making through natural interaction</li>
<li>Integrate diverse APIs (e.g., Recall.ai, Deepgram, CRM or HR systems) for seamless, end-to-end automation across business platforms</li>
<li>Monitor and improve latency, accuracy, and scalability of AI pipelines. Define evaluation metrics for agent performance, retrieval precision, and generative reliability</li>
<li>Work closely with product, data, and backend teams to define AI features, assess feasibility, and align technical solutions with business goals</li>
</ul>
Candidate Requirements<ul>
<li>Proven experience designing, building, and shipping AI-powered features that solve real business problems</li>
<li>An experimental, curious mindset with a drive to tackle open-ended challenges.</li>
<li>Deep, hands-on familiarity with the modern AI stack &mdash; RAG, vector databases, prompt engineering, fine-tuning, and evaluation frameworks</li>
<li>Ability to balance innovation and reliability, grounding cutting-edge research in scalable, production-ready systems</li>
</ul>
Expertise in one or both areas<ul>
<li>
Software Engineering &amp; Systems Design &ndash; Strong Python skills, experience building scalable APIs/services (e.g., FastAPI, Django), and solid understanding of infrastructure, CI/CD, and system design</li>
<li>ML Engineering &amp; Research &ndash; Proficiency in ML frameworks (PyTorch, TensorFlow, Hugging Face) with a strong grasp of model architecture, training, and optimization</li>
</ul>
Disclaimer:
This job posting is not open to recruitment agencies. Any candidate profile submitted by a recruitment agency will be considered as being received directly from an applicant. Contango reserves the rights to contact the candidate directly, without incurring any obligations or liabilities for payment of any fees to the recruitment agency.</div>

Senior AI 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 AI Platform Engineer helps design, build and maintain the on-premises AI Infrastructure for our client, a market leader in the environment sector. The engineer plays a key role in enabling large-scale machine learning and generative AI workloads by developing robust, scalable, and secure platform solutions that support data scientists and ML engineers across the organisation.
The role requires deep Kubernetes and infrastructure automation experience to optimise performance, streamline deployments, and ensure reliability in an on-prem environment.
Requirements<ul>
<li>
Design, deploy, and manage on-premises Kubernetes clusters for AI and ML workloads.</li>
<li>Develop and maintain infrastructure-as-code using tools like Terraform, Helm, or Ansible</li>
<li>Build and optimise AI/ML pipelines and MLOps workflows for model training, deployment, and monitoring.</li>
<li>Collaborate with data science and engineering teams to deliver high-performance computing environments for large model training and inference.</li>
<li>Implement resource management, observability, and scaling strategies for GPU-based workloads.</li>
<li>Manage containerisation, networking, and storage solutions for AI workloads.</li>
<li>Ensure security, compliance, and reliability of the AI platform.</li>
<li>Automate operational processes and continuously improve platform efficiency.</li>
</ul>
What we need from you:<ul>
<li>
Proven experience managing Kubernetes clusters on-premises (not just cloud-managed solutions).</li>
<li>Experience working in a Consultancy capacity.</li>
<li>Strong background in container orchestration, CI/CD, and automation.</li>
<li>Proficiency in Linux administration, Docker, and networking fundamentals.</li>
<li>Hands-on experience with infrastructure-as-code (Terraform, Helm, Ansible, etc.).</li>
<li>Experience supporting AI/ML workloads (e.g., TensorFlow, PyTorch, Hugging Face, Ray, Kubeflow).</li>
<li>Familiarity with GPU scheduling and resource management on Kubernetes.</li>
<li>Knowledge of monitoring and logging tools (Prometheus, Grafana, ELK, etc.).</li>
<li>Strong scripting skills (Python, Bash, or Go).</li>
<li>Understanding of DevOps and MLOps best practices.</li>
</ul>
Benefits
Benefits &amp; Growth Opportunities:<ul><li>Competitive salary and performance bonuses</li><li>Comprehensive health insurance</li><li>Professional development and certification support</li><li>Opportunity to work on cutting-edge AI projects</li><li>International exposure and travel opportunities</li><li>Flexible working arrangements</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.</div>

AI Platform Engineer

CMETS Energy Solutions LLC

Job SummaryWe are seeking a highly motivated Software Engineer to join our Instrumentation &amp; Automation Systems (IAS) Division. The ideal candidate will design and implement AI-driven and automation solutions that enhance industrial efficiency, predictive maintenance, and digital transformation across energy projects. In addition, the role will support IT &amp; Admin functions, ensuring smooth operation, security, and optimization of company systems, networks, and digital infrastructure.Key ResponsibilitiesAI &amp; Automation:<ul><li>Lead the full lifecycle of automation projects (RPA, intelligent automation) &mdash; from discovery and design through implementation and optimization.</li><li>Design and implement AI/ML models for system monitoring, predictive analysis, system simulations, incident response, and resource allocation.</li><li>Integrate AI solutions with cloud platforms (AWS, Azure) and on-premises systems for seamless operation.</li><li>Develop and maintain APIs to enable AI model integration with enterprise applications and databases.</li><li>Ensure all AI and automation data pipelines adhere to strict security, data governance, and compliance standards.</li><li>Perform system administration and maintenance of deployed AI solutions and automation platforms.</li><li>Collaborate closely with the IAS team to align AI solutions with project and client requirements.</li></ul>IT &amp; Admin Support:<ul><li>Manage installation, configuration, and maintenance of company servers, routers, and networking equipment.</li><li>Provide IT support for hardware, software, and user-related issues across departments.</li><li>Ensure data security, system backups, and user access management are maintained.</li><li>Oversee license renewals, antivirus updates, and IT asset tracking.</li><li>Coordinate with vendors for procurement, repair, or upgrade of IT infrastructure.</li><li>Support the Admin team in managing digital tools, office systems, and communication platforms.</li></ul>Qualifications<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, Information Technology, Data Science, or a related field.</li><li>3&ndash;6 years of relevant experience in AI/ML model development, IT systems, and automation projects.</li><li>Hands-on experience with Python, TensorFlow, PyTorch, OpenCV, or scikit-learn.</li><li>Familiarity with RPA tools (UiPath, Power Automate, Blue Prism) and API integration.</li><li>Good understanding of networking, system security, and cloud infrastructure (AWS, Azure, GCP).</li><li>Experience with containerization (Docker/Kubernetes) preferred.</li><li>Strong analytical and troubleshooting skills with the ability to work across technical and administrative functions.</li></ul>Benefits<ul><li>Competitive salary package.</li><li>Health insurance and leave benefits as per UAE labor law.</li><li>Opportunity to work on cutting-edge AI and industrial automation projects.</li><li>Exposure to IT systems management and cross-functional collaboration.</li><li>Continuous learning and career growth within the CMETS Group.</li></ul>Job Types: Full-time, Permanent

Software Engineer

New York University

<div></div><div><div><div><div><div><div>New York University: NYU - Global: Abu Dhabi: AD_Engineering: AD_General Engineering
</div></div></div><div><div><h3 class="jobSectionHeader">Location
</h3><div>Abu Dhabi, UAE
</div></div><div><h3 class="jobSectionHeader">Open Date
</h3><div>Nov 10, 2025
</div></div></div><div><div><h3 class="jobSectionHeader">Description
</h3><div><div><div>The Embodied AI and Robotics (AIR) Laboratory in the Division of Engineering, New York University Abu Dhabi, seeks to recruit a Senior Research Engineer to advance applied research in artificial intelligence and robotics. The successful applicant will contribute to cutting-edge research and development in Embodied AI, with a focus on integrating AI-driven perception, reasoning, and action to enable intelligent robotic behavior across diverse real-world environments. The position involves working on embodied intelligence systems that combine vision-language-action (VLA) modeling, robotic perception and interaction, and autonomous task execution. The Senior Research Engineer will play a key role in bridging algorithmic innovation and robot deployment, leading experimental design, system integration, and evaluation on real robotic platforms. The Embodied AI and Robotics Lab (AIR) develops intelligent robotic systems capable of understanding, learning, and acting in complex, dynamic settings. The team works at the intersection of computer vision, multimodal learning, and robotics to create next-generation embodied agents that interact naturally and safely with humans and their environments. The lab operates in close collaboration with NYU&rsquo;s global network, including NYU New York, and provides a dynamic, interdisciplinary environment involving faculty, postdoctoral researchers, engineers, and students.

Applicants must hold a PhD in Computer Science, Robotics, Electrical Engineering, or a related field, or have equivalent research and development experience. Strong technical expertise in one or more of the following areas is required:
<ul>
<li>Embodied AI and robot learning</li>
<li>Vision-language-action (VLA) modeling</li>
<li>Perception, control, and interaction for real-world robotic systems</li>
<li>Deep learning, multimodal learning, or large-scale AI systems</li>
</ul>
Demonstrated experience in robot deployment, experimentation, and applied AI development is essential. The successful candidate is expected to work collaboratively within a multidisciplinary team and contribute to both research innovation and system implementation.

For consideration, applicants should submit a cover letter, curriculum vitae, transcript, statement of research and technical interests, and and three references, all in PDF format. For further information, please contact Prof. Yi Fang, Director of the Embodied AI and Robotics Lab, at [yfangl@nyu.edu].

The terms of employment are very competitive and include housing and educational subsidies for children. Applications will be accepted immediately and candidates will be considered until the position is filled. To be considered, all applicants must submit a cover letter, curriculum vitae, transcript of degree, a one-page summary of research accomplishments and interests, and at least 2 letters of recommendation, all in PDF format. Please visit our website at http://nyuad.nyu.edu/en/about/careers/faculty-positions.html for instructions and information on how to apply. If you have any questions, please email: mrasras@nyu.edu.
</div>
About NYU Abu Dhabi 
https://nyuad.nyu.edu/en/
 
NYU Abu Dhabi is the first comprehensive liberal arts and research campus in the Middle East to be operated abroad by a major American research university. Times Higher Education ranks NYU among the top 30 universities in the world, making NYU Abu Dhabi the highest-ranked university in the UAE and MENA region. NYU Abu Dhabi has integrated a highly selective undergraduate curriculum across the disciplines with a world center for advanced research and scholarship. The university enables its students in the sciences, engineering, social sciences, humanities, and arts to succeed in an increasingly interdependent world and advance cooperation and progress on humanity&rsquo;s shared challenges. NYU Abu Dhabi&rsquo;s high-achieving students have come from over 120 countries and speak over 100 languages. Together, NYU's campuses in New York, Abu Dhabi, and Shanghai form the backbone of a unique global university, giving faculty and students opportunities to experience varied learning environments and immersion in other cultures at one or more of the numerous study-abroad sites NYU maintains on six continents.

NYUAD is committed to upholding a culture of non-discrimination, anti-harassment, dignity, and mutual respect; providing equal access and opportunity; and fostering academic excellence in learning, research, and teaching.

UAE Nationals are encouraged to apply.</div>
</div>
</div></div></div><div><div><div><h3 class="jobSectionHeader">Application Process
</h3><div>This institution is using Interfolio's Faculty Search to conduct this search. Applicants to this position receive a free Dossier account and can send all application materials, including confidential letters of recommendation, free of charge.</div></div></div></div></div></div>

Senior Research Engineer in the Division of Engineering – Dr. Yi Fang

Khazna Data Centers

<div>
 
 
 Khazna was founded in 2012 and has grown rapidly into becoming the leading and trusted wholesale Data Center provider in the Middle East and North Africa region. Through our Data Centers, we provide industry benchmark levels of power supply and cooling services to better serve the growing need for data center operations in the UAE and wider region.
 
 
 
 
 
 
 We are seeking a
 
 Data Scientist (AI/ML)
 
 to join our
 
 Command &amp; Control Center &ndash; Data Analytics &amp; Reporting
 
 team, reporting to the
 
 Manager, Data &amp; BI
 
 . This centralized role is responsible for developing AI-driven solutions, machine learning models, and advanced analytics to enhance data center operations, efficiency, and innovation. The Data Scientist will apply predictive modeling, deep learning, and other data science techniques to enable data-driven decision-making and automation across the data center ecosystem.
 
 
 
 
 
 
 Key Accountabilities:
 
 
 
 
 
 <ul>
 <li>
 In collaboration with the line manager, develop Data Center AI/ML models for predictive maintenance, anomaly detection and capacity planning, reducing downtime and optimizing resource allocation
 </li>
 <li>
 Support in simulation models to assess potential business impact, forecasting power demand, cooling efficiency and IT workload fluctuations
 </li>
 <li>
 Work with big data technologies and cloud platforms, optimizing AI model deployment across hybrid and multi-cloud architectures
 </li>
 <li>
 Optimize Data Center models for performance, scalability and interpretability, ensuring they align with real-time decision-making needs of mission-critical facilities
 </li>
 <li>
 Conduct statistical analysis and hypothesis testing, providing data-driven insights for risk assessment, asset lifecycle management and energy efficiency improvements
 </li>
 <li>
 Collaborate with Data Engineers to ensure seamless data pipeline integration, enabling real-time AI-driven monitoring and automation
 </li>
 <li>
 Support in develop anomaly detection algorithms to proactively identify deviations in data center power usage effectiveness (PUE), cooling efficiency etc.
 </li>
 <li>
 Research and implement emerging AI/ML technologies within data center, such as federated learning, reinforcement learning and generative AI, to enhance operational resilience
 </li>
 <li>
 Evaluate and improve the performance of existing AI models within data center, incorporating adaptive learning techniques to refine predictions over time
 </li>
 <li>
 Ensure AI/ML models in data center are continuously updated with live data streams, adapting to infrastructure expansions, workload shifts and market trends
 </li>
 <li>
 Extract findings from AI-driven analysis and present actionable insights to executives at Khazna and CCC leadership to inform strategic decision-making
 </li>
 <li>
 Support in defining and prioritize potential data center operational scenarios, using AI simulations to model the likelihood and impact of various facility and market dynamics
 </li>
 <li>
 Update data center models and forecasts based on real-time data, industry benchmarks and shifting internal prioritises to maintain competitive intelligence
 </li>
 <li>
 Drive automation in incident response and capacity forecasting, integrating AI insights with CAFM and orchestration tools for proactive management
 </li>
 <li>
 Ensure AI governance, model explainability and compliance with regulatory standards in data center operations, including SOC 2, ISO 27001 and Uptime Institute guidelines as recommended
 </li>
 </ul>
 
 
 
 
 
 Minimum Qualifications:
 
 
 
 
 
 <ul>
 <li>
 Master&rsquo;s or Bachelor&rsquo;s in Computer Science, AI/ML (or) Data Science
 </li>
 <li>
 Certifications in AI/ML or data science preferred (e.g., Google AI, Microsoft AI)
 </li>
 <li>
 3-5 years of experience in AI/ML model development, data science or analytics
 </li>
 <li>
 Proficiency in Python, TensorFlow or PyTorch
 </li>
 <li>
 Hands-on experience with cloud-based ML platforms (AWS SageMaker, Azure ML, Google AI)
 </li>
 <li>
 Strong background in statistical modeling, probability and data structures
 </li>
 <li>
 Experience with big data frameworks like Apache Spark or Hadoop
 </li>
 </ul>
 
 
 
 
 
 Additional Qualifications:
 
 
 
 
 
 <ul>
 <li>
 Ability to translate complex data into actionable insights for business and operational teams
 </li>
 <li>
 Expertise in explaining AI/ML concepts to non-technical leadership, ensuring alignment between data science and business strategy
 </li>
 <li>
 Work effectively across Engineering and Operations, adapting models to shifting business priorities and technological advancements
 </li>
 </ul>
 
 
 
 
 
 Trainings/Certifications Preferred:
 
 
 
 
 
 <ul>
 <li>
 Google TensorFlow Developer Certification
 </li>
 <li>
 AWS Certified Machine Learning &ndash; Specialty
 </li>
 <li>
 Microsoft Certified: Azure AI Engineer Associate
 </li>
 </ul>
 
 
</div>

Data Scientist (AI/ML)

NorthBay Solutions

<div>Enterprise Architect &ndash; GenAI 
Experience: 12+ years 
Location: Onsite &ndash; Abu Dhabi, UAE
Note: This is a full-time onsite role based in Abu Dhabi, UAE. Candidates must be willing to relocate for long-term client engagements.
About the Role 
NorthBay Solutions seeks an Enterprise Architect with proven GenAI leadership, strong AI/ML foundation, and solid enterprise architecture background. We want seasoned professionals with deployment experience across on-premises, cloud, and hybrid environments to lead strategic AI initiatives for a leading client in Abu Dhabi.
Core Responsibilities<ul><li>
Design end-to-end AI-powered enterprise solutions integrating traditional systems with AI/ML</li><li>
Lead 8&ndash;12 engineers across full-stack, DevOps, and AI/ML specializations in Agile environments</li><li>
Drive technical decisions spanning infrastructure, databases, APIs, microservices, and AI components</li><li>
Act as the key technical liaison with client stakeholders in Abu Dhabi</li></ul>
Technical Requirements
GenAI Leadership (3+ Years) &ndash; PRIMARY<ul><li>
Expert-level LLM experience (LLAMA, Mistral, GPT) including fine-tuning and deployment</li><li>
Agentic AI, MultiAgent systems, Agentic RAG implementations</li><li>
Vector Databases, LangChain, Langraph, and modern GenAI toolchains</li><li>
Advanced prompt engineering and Chain-of-Thought techniques</li><li>
3+ production GenAI applications successfully implemented</li></ul>
AI/ML Foundation (4&ndash;5 Years)<ul><li>
Hands-on AI/ML experience building production systems with Python, TensorFlow, PyTorch</li><li>
ML model lifecycle management from development to deployment and monitoring</li><li>
Integration of AI/ML models with existing enterprise architectures</li></ul>
Enterprise Architecture &amp; Deployment (8+ Years)<ul><li>
Full-stack development with MERN stack or equivalent</li><li>
Deployment experience across on-premises, cloud, and hybrid environments</li><li>
Kubernetes expertise for container orchestration and deployment</li><li>
Database proficiency: SQL (PostgreSQL/MySQL) and NoSQL (MongoDB/DynamoDB)</li><li>
API development: RESTful services, GraphQL, microservices architecture</li><li>
DevOps experience: Docker, CI/CD pipelines, infrastructure automation</li></ul>
Cloud &amp; Infrastructure<ul><li>
Strong cloud experience (AWS/Azure/GCP) with ML services</li><li>
AWS: SageMaker, Bedrock, Lambda, API Gateway or equivalent</li><li>
Hybrid architecture design combining on-prem, cloud, and AI/ML systems</li></ul>
Proven Delivery<ul><li>
7+ complex projects delivered across enterprise systems and AI/ML solutions</li><li>
Team leadership experience managing diverse technical teams</li><li>
Experience working directly with enterprise customers and stakeholders</li></ul>
Requirements<ul><li>
(Good to have) AWS/Azure/GCP certifications (Solutions Architect + ML Specialty preferred)</li><li>
Valid passport and willingness to relocate to Abu Dhabi</li><li>
Strong communication skills bridging business and technical requirements</li><li>
Agile/Scrum leadership experience with measurable team performance improvements</li></ul>
Ideal Candidate 
Priority expertise: GenAI Leadership AI/ML Foundation Enterprise Architecture with deployment experience across on-premises, cloud, and hybrid environments. Candidates must be relocation-ready and prepared for onsite leadership and client engagement in Abu Dhabi.
Ji8Z5PIhLf</div>

Enterprise Architect – GenAI

TALENTMATE

<div>
 
 
 
 Overview:
 
 
 
 
 
 Job Description
 
 
 
 About Presight
 
 
 
 Presight is an ADX-listed public company with G42 (Abu Dhabi) as its majority shareholder and the region&rsquo;s leading big data analytics company powered by GenAI. We combine big data, advanced analytics, and AI to drive business and societal impact, helping public and private sector organizations realize their AI strategies faster.
 
 
 
 
 Overview
 
 
 
 
 We are seeking a Data Scientist with solid experience in applied machine learning and working knowledge of large language models (LLMs). This role involves contributing to the design and implementation of AI solutions that power intelligent applications such as natural language interfaces, search, and knowledge-driven tools. You will collaborate with senior scientists, engineers, and product managers to help deliver production-ready AI systems.
 
 
 
 
 
 Responsibilities:
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Contribute to the design and development of AI Agent and Multi-Agent systems based on LLMs, supporting autonomous decision-making and task execution.
 </li>
 <li>
 Participate in prompt engineering tasks such as Chain of Thought, ReAct, and context management strategies.
 </li>
 <li>
 Support the development of agent tool interfaces, enabling integration with external systems and APIs.
 </li>
 <li>
 Work on RAG-based retrieval-augmented QA systems and apply domain-specific model improvements.
 </li>
 <li>
 Collaborate in building scalable frameworks for workflow, agent, and multi-agent coordination.
 </li>
 <li>
 Stay updated on the latest AI and LLM advancements and help apply them to enhance product features.
 
 
 </li>
 </ul>
 
 
 Qualifications:
 
 
 
 
 
 Requirements:
 
 
 
 
 Qualifications
 
 
 
 <ul>
 <li>
 Master&rsquo;s or Ph.D. in Computer Science, Data Science, Machine Learning, Applied Mathematics, or related field.
 
 
 </li>
 </ul>
 
 Experience
 
 
 
 <ul>
 <li>
 3+ years of hands-on experience in AI, machine learning, or intelligent agent system development.
 </li>
 <li>
 Familiarity with LLMs, VLMs, Generative AI, and agent system design.
 </li>
 <li>
 Has practical project experience in developing agent or multi-agent systems with integration to external systems or data sources.
 </li>
 <li>
 Understanding of reasoning models and Model Context Protocol (MCP).
 </li>
 <li>
 Knowledge of agent tools, retrieval-augmented generation (RAG), workflow orchestration, and prompt engineering techniques.
 
 
 </li>
 </ul>
 
 Skills
 
 
 
 <ul>
 <li>
 Proficient in Python with solid foundations in data structures and algorithms.
 </li>
 <li>
 Experience with backend frameworks (FastAPI or similar).
 </li>
 <li>
 Familiarity with deep learning frameworks such as PyTorch.
 </li>
 <li>
 Good understanding of machine learning algorithms and applied mathematics.
 </li>
 <li>
 Experience with containerization tools (Docker).
 </li>
 <li>
 Knowledge of relational and non-relational databases (e.g., PostgreSQL, Redis).
 </li>
 <li>
 Comfortable with Git and modern development workflows.
 </li>
 <li>
 Strong communication and collaboration skills in a team-oriented, agile environment.
 </li>
 <li>
 Specialize in leveraging AI tools (Cursor/Claude code/ copilots/ChatGPT) to accelerate efficiency, boost productivity, and deliver quick results.
 </li>
 <li>
 Curious, motivated, and eager to learn and grow while tackling technical challenges.
 
 
 </li>
 </ul>
 What Presight Offers
 
 
 <ul>
 <li>
 Culture: Inclusive, diverse, and innovation-driven environment with a global vision.
 </li>
 <li>
 Career: High-impact projects, continuous learning, and career growth opportunities.
 </li>
 <li>
 Rewards: Competitive package with healthcare, education support, leave benefits, and more.
 
 
 </li>
 </ul>
 Job Details
 
 
 Role Level: Mid-Level Work Type: Full-Time Country: United Arab Emirates City: Abu Dhabi Company Website: https://www.presight.ai Job Function: Information Technology (IT) Company Industry/
 
 
 Sector: IT Services and IT Consulting
 
 
 What We Offer
 
 
 
 About The Company
 
 
 
 Searching, interviewing and hiring are all part of the professional life. The TALENTMATE Portal idea is to fill and help professionals doing one of them by bringing together the requisites under One Roof. Whether you're hunting for your Next Job Opportunity or Looking for Potential Employers, we're here to lend you a Helping Hand.
 
 
 Report
 
 
 Disclaimer: talentmate.com is only a platform to bring jobseekers &amp; employers together. Applicants are advised to research the bonafides of the prospective employer independently. We do NOT endorse any requests for money payments and strictly advice against sharing personal or bank related information. We also recommend you visit Security Advice for more information. If you suspect any fraud or malpractice, email us at abuse@talentmate.com.
</div>

Data Scientist

Explore 542+ Ai engineer in Abu Dhabi this November. Find roles across top companies and apply now to boost your career.