civil engineer

project engineer

planning engineer

estimation engineer

mechanical engineer

ai ml engineer

Deeplight

<div><p><b>About DeepLight AI:</b> DeepLight AI is a specialist AI and data consultancy with extensive experience implementing intelligent enterprise systems across multiple industries. Our team combines deep expertise in AI/ML technologies, workflow automation, and systems integration with a practical understanding of complex business operations.</p><p><b>
Role Overview:</b> We are looking for a Senior AI/ML Engineer to design, develop and implement machine learning models and AI-powered solutions for our enterprise clients. The successful candidate will work on complex data processing pipelines, model development, and performance optimisation across various business domains.</p><p><b>
Key Responsibilities:</b></p><ul>
<li>Design and implement AI/ML models to solve complex business problems</li>
<li>Develop data processing pipelines for model training and deployment</li>
<li>Implement algorithm optimizations for performance improvement</li>
<li>Create prediction engines and pattern recognition systems</li>
<li>Tune models based on performance metrics and feedback</li>
<li>Test AI models for accuracy, bias, and robustness</li>
<li>Implement AI monitoring and logging mechanisms</li>
<li>Collaborate with data engineers and full-stack developers to integrate AI solutions</li>
<li>Provide technical expertise on AI/ML best practices and methodologies</li>
</ul><p><b>Requirements</b></p><ul>
<li>8+ years of experience in machine learning and AI development</li>
<li>Strong proficiency in Python and relevant ML frameworks (TensorFlow, PyTorch, scikit-learn)</li>
<li>Experience with NLP, computer vision, or predictive analytics</li>
<li>Knowledge of data processing and feature engineering techniques</li>
<li>Experience with model deployment and production ML pipelines</li>
<li>Understanding of cloud platforms (AWS, Azure, or GCP)</li>
<li>Strong problem-solving skills and attention to detail</li>
<li>Experience with financial data or enterprise solutions a plus</li>
</ul><p><b>Benefits</b></p><p><b>
Benefits &amp; Growth Opportunities:</b></p><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><p>
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.</p></div>

AI / ML Engineer

Make Fortune Business Solutions

<p><b>About Us</b></p><p>Real Law AI is a legal tech startup in the UAE. Founded in 2024, we already have 500+ paying users.</p><p><b>What You&rsquo;ll Do (Key Responsibilities)</b></p><ul><li>Build the core AI chatbot with RAG.</li><li>Optimize RAG pipelines.</li><li>Develop semantic search (Elasticsearch).</li><li>Work with LLMs.</li><li>Engineer data pipelines.</li><li>Ensure integrations and collaboration across systems.</li></ul><p><b>Who You Are (Required Skills)</b></p><ul><li>Proven experience as an AI/ML Engineer with a strong project portfolio in NLP and/or Conversational AI.</li><li>Solid hands-on expertise with Python and ML frameworks (e.g., PyTorch, Hugging Face, LangChain).</li><li>Strong track record in building and deploying RAG systems and working with vector databases (e.g., Pinecone, Milvus, Weaviate).</li><li>Strong understanding of search technologies, especially Elasticsearch.</li><li>Strong foundation in NLP concepts, including transformers, embeddings, and NER.</li><li>Experience with cloud infrastructure and services (e.g., AWS S3).</li><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, or a related field.</li></ul><p><b>Nice to Have (Preferred Skills)</b></p><ul><li>Experience with different open-source and proprietary LLMs.</li><li>Experience with Arabic NLP.</li><li>Familiarity with MLOps principles and tools for deploying and monitoring models.</li><li>Passion for building intuitive user interfaces.</li></ul><p>If you are a creator passionate about developing intelligent conversational AI to solve real, meaningful problems, we want to hear from you. Apply now and help us build the future of law.</p><p><b>What We Offer</b></p><ul><li>Competitive salary (negotiable).</li><li>Friendly, non-toxic team culture.</li><li>Flexible format: hybrid or remote work.</li></ul><p>Job Types: Full-time, Temporary, Contract</p><p>Application Question(s):</p><ul><li>How many years of work experience do you have with Python?</li></ul><ul><li>How many years of proven experience as an AI/ML Engineer in NLP do you have?</li></ul>

AI Engineer

Fuse Energy

<div><p>Fuse Energy is a forward-thinking renewable energy startup on a mission to deliver a terawatt of renewable energy - fast. We're combining first-principles thinking with cutting-edge technology to build a radically better energy system. We raised $100M from top-tier investors including Multicoin, Balderton, Lakestar, Accel, Creandum, Lowercarbon, Ribbit, Box Group and strategic angels like Nico Rosberg, the Co-Founder of Solana and GPs behind Meta, Revolut, Spotify, Uber and more.<br>
<br>
We&rsquo;re creating a fully integrated energy company: from developing solar, wind and hydrogen projects to real-time power trading and distributed energy installations. By selling directly to consumers, we cut out the middleman, lower costs and pass on savings to customers.<br>
<br>
But we&rsquo;re not stopping there. We&rsquo;re also building the Energy Network: a decentralised platform of smart devices that rewards users in Energy Dollars for electrifying their homes, shifting usage to off-peak hours, and helping balance the grid. This network strengthens grid stability - a critical foundation for scaling AI data centers and other energy-intensive industries.<br>
<br>
We're now looking to establish a cutting-edge AI team. As an Applied AI Engineer, this position is ideal for someone who possesses the technical expertise of a backend engineer but is specifically interested in applied AI and how it can be used to enhance the energy experience for our customers and our internal operations. You'll be working on a variety of exciting projects, including consumer-focused features like the Energy Co-Pilot and the Speedy Onboarding process (leveraging tools such as VLM/LLM). You will also collaborate across teams to build AI tools that enhance productivity and streamline processes within Fuse.</p><h3 class="jobSectionHeader"><b><br>
</b><br>
<b>Responsibilities</b></h3><ul>
<li>Design, develop and deploy AI-powered features that directly impact consumer experiences, including personalised energy recommendations and seamless onboarding via AI models (e.g. using energy bills for quick setup)</li>
<li>Build and optimise internal AI tools that will make the whole company more productive with a focus on automation and enhancing workflows</li>
<li>Collaborate with backend engineers and data scientists to integrate AI-driven features into our platforms</li>
<li>Collaborate with the trading and operations teams to ensure AI models are aligned with real-time market conditions and energy pricing</li>
<li>Improve AI models to optimise trading strategies by anticipating market shifts based on weather and demand forecasts</li>
<li>Stay up to date with the latest advancements in applied AI and machine learning and apply them to solve real-world problems within the energy space</li>
Monitor the performance of AI tools and models, ensuring they are functioning efficiently and effectively<br>
<li>
</li></ul><p><b>Requirements</b></p><ul><li>
Minimum 3 years of engineering experience</li></ul><ul>
<li>Proven experience as a Backend Engineer with a strong interest and practical experience in applied AI or machine learning</li>
<li>Strong programming skills in Python (or similar languages) with familiarity in AI/ML libraries (TensorFlow, PyTorch, etc.)</li>
<li>Experience working with large-scale models (LLMs/VLMs) and deploying AI-driven solutions into production</li>
<li>Solid understanding of cloud technologies, containerisation and building scalable AI applications</li>
<li>Ability to integrate AI/ML models into real-world applications, focusing on usability and performance</li>
<li>Strong problem-solving skills and a practical approach to implementing AI solutions in a fast-paced environment</li>
<li>Experience working with large datasets, particularly in relation to demand and supply forecasting</li>
</ul><p><b>Bonus</b></p><ul>
<li>Experience or strong interest in energy markets and trading strategies</li>
<li>Understanding of weather forecasting, energy demand patterns, and production modelling</li>
<li>Exposure to Natural Language Processing (NLP) or other related fields</li>
</ul><p><b>Benefits</b></p><ul>
<li>Competitive salary and an equity sign-on bonus</li>
<li>Biannual bonus scheme</li>
<li>Fully expensed tech to match your needs</li>
<li>Paid annual leave</li>
<li>Breakfast and dinner for office based employees</li></ul></div>

Applied AI Engineer

Weatherford

<div><p><b>Job Overview:
</b><br>
In MENA, we are pioneering digital transformation in oilfield services, integrating AI and advanced analytics into drilling, production, reservoir management, and support functions. As part of this journey, we are seeking an AI Expert to accelerate adoption and create tangible business impact. The AI Expert will spearhead the development and deployment of AI-driven solutions across Weatherford MENA operations. The ideal candidate will combine strong technical AI/ML capabilities with an ability to understand oilfield services challenges and deliver business-relevant solutions. This role requires close collaboration with operations, engineering, IT, and functions teams to ensure AI projects deliver measurable efficiency, cost, safety, and sustainability gains.
</p><p><b>Key Responsibilities:
</b></p><ul><li>Partner with operations, engineering, and business stakeholders to identify high-value use cases for AI in drilling, completions, production, functions (finance, supply chain, HR, HSE etc).
</li><li>Design, develop, and deploy AI/ML models tailored to oilfield data (e.g., drilling parameters, production logs, equipment telemetry, geoscience data).
</li><li>Build and operationalize ML pipelines and LLM-backed solutions (e.g., RAG assistants for engineers, predictive maintenance models, AI copilots for technical workflows).
</li><li>Ensure robust data governance, security, and compliance with regional regulations (UAE, Saudi, Algeria, etc.).
</li><li>Integrate AI solutions with Weatherford&rsquo;s digital platforms, field applications and enterprise systems.
</li><li>Lead POCs and pilot deployments to demonstrate tangible business outcomes, then scale across MENA operations.
</li><li>Train and mentor internal teams to adopt AI tools and develop &ldquo;citizen AI&rdquo; capabilities.
</li><li>Stay at the forefront of emerging AI technologies (LLMs, generative AI, edge AI) and adapt them to MENA oilfield use cases
</li></ul><p><b>Qualifications:
</b></p><ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, Data Science, or related discipline.
</li><li>Proven experience applying AI/ML and data science preferably in industrial or energy domains (oil &amp; gas preferred).
</li><li>Strong coding skills in Python; familiarity with FastAPI, PyTorch, LangChain/LangGraph, vector DBs, Docker, CI/CD.
</li><li>Hands-on experience with productionizing models and managing MLOps pipelines.
</li><li>Ability to analyze and process large time-series and unstructured datasets (logs, images, sensor data).
</li>Excellent communication and cross-functional collaboration skills; ability to explain AI concepts to non-technical stakeholders.<br>
<li>
</li></ul><p></p><p><b>Preferred Qualifications:
</b></p><ul><li>Domain expertise in Oilfield Services is a plus (e.g., drilling optimization, predictive maintenance, production forecasting).
</li><li>Proficiency in programming languages such as Python, R, or Java.
</li><li>Experience with the following tech stack: Python, FastAPI, PyTorch, LangChain/LangGraph, vector DBs (pgvector/FAISS), Docker, CI/CD, Postgres, OpenAI/Anthropic + OSS LLMs, Langfuse, OpenTelemetry.
</li><li>Experience with GPU acceleration, model optimization, and edge deployment for field environments.
</li><li>Exposure to cloud environments (AWS/Azure/GCP) and hybrid/on-prem deployments.
</li><li>Awareness of data privacy, PII handling, and regional compliance requirements.
</li><li>Ability to design lightweight UIs (React/TypeScript) for internal users.
</li><li>Familiarity with generative AI use cases for technical documentation, knowledge management, and training.
</li><li>Strong analytical and problem-solving skills.
</li><li>Excellent communication and teamwork abilities.
</li></ul><p>#LI-MD1</p></div><p></p>

AI & Analytics Lead

Deriv.com

<div><p>Job Information</p>
<ul><div><p>Job Opening ID</p>
<div>ZR_2120_JOB
</div></div><div><p>Date Opened</p>
<div>22/09/2025
</div></div><div><p>Industry</p>
<div>Engineering
</div></div><div><p>Job Type</p>
<div>Full time
</div></div><div><p>City</p>
<div>Dubai
</div></div><div><p>Country</p>
<div>United Arab Emirates</div></div></ul></div>
<br><div><p>Job Description</p>
<div><div>Deriv is an AI-first company, transforming trading through cutting-edge technology. We are seeking a highly skilled Applied AI Engineer to join our dynamic team. You will play a key role in designing, developing, and deploying AI-driven solutions that power our internal tools, marketing automation, and security infrastructure.</div><div></div><div><br>
AI is being embedded into our company DNA, across every department. For further information, please read our guide: &lsquo;AI at Deriv:How we&rsquo;re transforming fintech with AI&rsquo;.</div><p></p><div><b><br>
Your challenges:</b></div><div></div><div><br>
AI Solution Development
<br>
</div><ul><li>Design, build, and operate agentic LLM applications with tool-use/function calling, planning, memory, and structured outputs with versioned prompts.<br>
</li><li>
Implement RAG pipelines (hybrid dense+sparse retrieval, reranking); manage vector indices and the embedding lifecycle.<br>
</li><li>
Integrate models with internal services and third-party APIs via tool adapters; enforce schema contracts and access controls.<br>
</li><li>
Lead feature work in recommendation/ranking, content generation/editing, and workflow orchestration backed by measurable eval metrics.<br>
</li></ul><div>
Security &amp; Automation<br>
</div><ul><li>
Build AI-driven security automations: classifiers/anomaly detectors, red-teaming harnesses, and (where appropriate) autonomous testing agents.<br>
</li><li>
Implement safety &amp; privacy controls: prompt-injection/jailbreak defenses, PII redaction, policy filtering, and auditability.<br>
</li><li>
Stand up real-time tracing &amp; alerts on token/latency/cost, retrieval degradation, drift, and hallucination risk.<br>
</li></ul><div>
Project &amp; Task Management<br>
</div><ul><li>
Own model/prompt/agent versioning and ship via CI/CD with canaries/A-B, rollback plans, and clear SLOs (quality, latency, cost).<br>
</li><li>
Evolve workflows: PR-based changes to prompts/configs, experiment tracking, concise design docs, and ADRs (decision records).<br>
</li></ul><div>
Quality Assurance &amp; Code Review<br>
</div><ul><li>
Enforce evaluation-first development: golden sets, synthetic probes, regression tests for prompts, grounding/faithfulness checks.<br>
</li><li>
Review for determinism, observability, and reproducibility; address tech debt with a bias to stability and measured impact.<br>
</li></ul><div>
Collaboration &amp; Mentorship<br>
</div><ul><li>
Partner with platform/data teams on data contracts, retrieval standards, and tenancy/access control.<br>
</li><li>
Mentor peers on agent patterns, RAG, prompt engineering, and safe rollout; lead design reviews and share practical research findings.<br>
</li></ul><div>
Continuous Improvement<br>
</div><ul><li>
Benchmark and integrate new model families/tools via standardized bake-offs; report quality&ndash;latency&ndash;cost trade-offs.<br>
</li><li>
Optimize serving with adapters/LoRA, distillation/quantization, routing/caching/speculative decoding; right-size infra for cost/perf.<br>
</li><li>
Track industry and research trends; convert into pragmatic, incremental stack upgrades.</li></ul><p></p><div><b><br>
Requirements:</b><br>
</div><ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, or related field.<br>
</li><li>
Strong programming skills in Python, JavaScript/TypeScript, or similar languages.<br>
</li><li>
Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, Hugging Face).<br>
</li><li>
Hands-on experience with cloud platforms (GCP, AWS, or Azure) and containerization (Docker, Kubernetes).<br>
</li><li>
Solid understanding of security best practices and experience with security automation is a plus.<br>
</li><li>
Excellent problem-solving, communication, and leadership skills.<br>
</li><li>
Experience with task management and code collaboration tools (GitHub, Jira, ClickUp, etc.).<br>
</li><li>
Ability to work independently and as part of a fast-paced, collaborative team.<br>
</li></ul><div>
Nice to Have<br>
</div><ul><li>
Experience in AI/ML engineering, with a proven track record of delivering production-grade solutions.<br>
</li><li>
Experience with marketing automation, content generation, or design systems.<br>
</li><li>
Familiarity with Figma, Supabase, or similar platforms.<br>
</li><li>
Contributions to open source AI/security projects.<br>
</li><li>
Prior experience in a high-growth tech or fintech environment.</li></ul><p></p><div><b><br>
Benefits</b></div><div></div><div><br>
We pay competitive salaries based on your skills, qualifications, experience and market rates. Additionally, you&rsquo;ll be eligible for an annual bonus based on individual and company performance.</div><div></div><div><br>
When you join Deriv, you will be supported in growing your career in our company. You can expect to have a personalised Learning and Development programme as well as the costs covered for relevant professional development and education related to advancing your career at Deriv.</div><p></p><div><br>
You&rsquo;ll be based at our modern office in Dubai&rsquo;s prestigious Business Bay, a key centre for Deriv&rsquo;s Middle Eastern operations. Our Dubai office is home to over 200 talented professionals from diverse nationalities, creating a truly global workplace. You&rsquo;ll thrive in an expat-friendly environment that celebrates diversity and encourages cross-cultural collaboration, with regular knowledge-sharing sessions and team events.</div><div></div><div><br>
Dubai&rsquo;s position as a global business hub, combined with its tax-free benefits, ultramodern lifestyle, and family-friendly environment with excellent schools and healthcare, creates the perfect setting for international professionals. Join us in Dubai to shape the future of online trading while experiencing life in one of the world&rsquo;s most dynamic and cosmopolitan cities.</div><div></div><div><br>
Our culture is unique, and we live by our values and leadership principles, so it's worth learning more about Deriv's culture.</div><br>
<p></p>
Deriv is an equal opportunity employer committed to diversity and inclusion. We take pride in our Great Place to Work and IIP Platinum certifications, which reflect our commitment to creating an exceptional work environment. Join us and help build the future of online trading while working alongside top talent from over 96 nationalities</div></div><p></p>

Naffco

<div></div><div><p><i>Experience:</i> 2 - 8 yrs. | Opening: 1
<br>
<i>Education:</i>Any Graduation<br>
<i>Nationality:</i> Any Nationality<br>
<i>Industry Type:</i>Industrial Products / Heavy Machinery<br>
<i>Functional Area:</i>Software Development / Application Development (IT Software) Sep 16,2025<br>
</p><p></p><div><div>
</div></div><div></div><h3 class="jobSectionHeader"><b>Job Description</b></h3>
<p></p><div><p><b>Job Purpose:</b></p><p>
To design, build, and integrate AI modules into IoT/IIoT and digital platforms by managing the full machine learning lifecycle &mdash; from model training to deployment &mdash; ensuring scalable and business-aligned solutions.</p><h3 class="jobSectionHeader"><b><br>
Key Responsibilities:</b></h3><ul><li><b>AI Module Development &amp; Integration</b> &ndash; Design and build AI modules that integrate seamlessly into IoT/IIoT and digital platforms.</li><li><b>Machine Learning Model Lifecycle</b> &ndash; Develop, train, validate, and maintain ML models for predictive maintenance, anomaly detection, optimization, and risk scoring.</li><li><b>System &amp; Platform Integration</b> &ndash; Work with APIs, data pipelines, and dashboards to integrate AI solutions into enterprise and industrial systems.</li><li><b>Model Training</b>&ndash; Prepare data, select algorithms, and train models with high accuracy and scalability.</li><li><b>Production Deployment</b> &ndash; Deploy, monitor, and optimize ML models in production environments (cloud and edge).</li><li>Collaborate with cross-functional product and engineering teams to ensure AI solutions meet business requirements.</li></ul><h3 class="jobSectionHeader"><b><br>
Qualifications &amp; Skills:</b></h3><ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, AI/ML, or related field.</li><li>Strong expertise in <b>AI/ML frameworks</b> (TensorFlow, PyTorch, Scikit-Learn).</li><li>Proven hands-on experience in <b>ML model training and production deployment</b>.</li><li>Solid understanding of <b>IoT/IIoT platforms</b> (AWS IoT, Azure IoT, or custom).</li><li>Experience in <b>data engineering &amp; API integration</b>.</li><li>Familiarity with <b>cloud platforms</b> (AWS, Azure, GCP) and <b>containerization</b>(Docker, Kubernetes).</li></ul><h3 class="jobSectionHeader"><b>
Key Competencies:</b></h3><ul><li>End-to-end ownership of ML model lifecycle.</li><li>Strong analytical and problem-solving skills.</li><li>Ability to bridge technical solutions with business impact.</li></ul><br>
<p></p>
</div><p></p><div>Keyword: AI Software Developer,AI,AI Platform Engineer,IoT,AI Solutions Architect,Machine Learning,AI Engineer,Deep Learning,AI Module Developer,AI Systems Engineer,IoT AI Specialist,Machine Learning Engineer,Embedded AI Engineer,TensorFlow,PyTorch</div></div><p></p>

AI Module Development Engineer – IoT & Digital Platforms

BRIDGEPORT INVESTMENT IN COMMERCIAL ENTERPRISES & MANAGEMENT LLC

<p>We are looking for an experienced <b>AI Engineer &ndash; Team Lead</b> to design, develop, and deploy cutting-edge AI/ML solutions while managing and mentoring a team of engineers. The ideal candidate should have hands-on expertise in AI technologies (NLP, computer vision, predictive modeling), along with proven experience in <b>team leadership, project management, and stakeholder collaboration</b>.</p><p><b>Key Responsibilities</b></p><ul><li>Lead a team of AI/ML engineers, ensuring high-quality delivery and professional growth.</li><li>Architect, design, and implement <b>AI/ML models</b> for various business use cases.</li><li>Oversee deployment of models into production environments, ensuring scalability and stability.</li><li>Guide the team in <b>data preprocessing, feature engineering, and model optimization</b>.</li><li>Collaborate with product managers, data scientists, and stakeholders to align AI solutions with business goals.</li><li>Conduct regular <b>code reviews, performance evaluations, and knowledge-sharing sessions</b>.</li><li>Stay updated with advancements in AI/ML frameworks, tools, and methodologies.</li><li>Manage project timelines, allocate resources, and ensure delivery within deadlines.</li><li>Ensure compliance with <b>data governance, ethics, and security standards</b>.</li></ul><p><b>Qualifications &amp; Skills</b></p><ul><li>Bachelor&rsquo;s/Master&rsquo;s in Computer Science, AI, Data Science, or related field.</li><li><b>6&ndash;10 years of experience</b> in AI/ML, with at least 2&ndash;3 years in a <b>leadership/team management role</b>.</li><li>Strong knowledge of <b>Python, TensorFlow, PyTorch, Scikit-learn, Keras</b>.</li><li>Experience with <b>MLOps practices</b>, cloud platforms (AWS, Azure, GCP), and CI/CD pipelines.</li><li>Solid understanding of NLP, computer vision, deep learning, and big data tools.</li><li>Proven ability to lead teams, manage projects, and mentor junior engineers.</li><li>Excellent communication skills in English; Arabic is a plus.</li></ul><p><b>Compensation &amp; Benefits</b></p><ul><li>Salary: AED 18,000 &ndash; 25,000 (depending on experience).</li><li>Performance-based bonuses and incentives.</li><li>Medical insurance and benefits as per UAE labor law.</li><li>Career progression into Head of AI / Data Science leadership roles.</li></ul><p>Job Type: Full-time</p><p>Pay: AED15,000.00 - AED25,000.00 per month</p><p>Location:</p><ul><li>Dubai (Required)</li></ul>

AI Engineer Lead

Explore 1133+ Ai ml engineer in Dubai this October. Find roles across top companies and apply now to boost your career.

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AI / ML Engineer

AI Engineer

Applied AI Engineer

AI & Analytics Lead

Applied AI Engineer

AI Module Development Engineer – IoT & Digital Platforms

AI Engineer Lead