civil engineer

project engineer

electrical engineer

planning engineer

sales engineer

ml engineer

Zehn Solutions

<div>
 
 
 Position : AI/ML Engineer
 
 
 
 
 Location : Dubai ( work from Office strictly)
 
 
 
 
 Salary : Negotiable on current package
 
 
 
 
 
 
 We are looking for an expert in machine learning to help us extract value from our data. You will lead all the processes from data collection, cleaning, and preprocessing, to training models and deploying them to production.
 
 
 The ideal candidate will be passionate about artificial intelligence and stay up-to-date with the latest developments in the field.
 
 
 
 
 
 
 Roles and Responsibilities:
 
 
 <ul>
 <li>
 &nbsp;Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress
 </li>
 <li>
 &nbsp;Managing available resources such as hardware, data, and personnel so that deadlines are met
 </li>
 <li>
 Analyzing the ML algorithms that could be used to solve a given problem and ranking them by their success probability
 </li>
 <li>
 Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world
 </li>
 <li>
 Verifying data quality, and/or ensuring it via data cleaning
 </li>
 <li>
 Supervising the data acquisition process if more data is needed
 </li>
 <li>
 Finding available datasets online that could be used for training
 </li>
 <li>
 Defining validation strategies
 </li>
 <li>
 Defining the preprocessing or feature engineering to be done on a given dataset
 </li>
 <li>
 Defining data augmentation pipelines
 </li>
 <li>
 Training models and tuning their hyperparameters
 </li>
 <li>
 Analyzing the errors of the model and designing strategies to overcome them
 </li>
 <li>
 Deploying models to production
 </li>
 </ul>
 
 
 
 
 
 Skills :
 
 
 <ul>
 <li>
 Proficiency with a deep learning framework such as TensorFlow or Keras
 </li>
 <li>
 Proficiency with Python and basic libraries for machine learning such as scikit-learn and pandas
 </li>
 <li>
 Expertise in visualizing and manipulating big datasets
 </li>
 <li>
 Proficiency with OpenCV
 </li>
 <li>
 Familiarity with Linux
 </li>
 <li>
 Ability to select hardware to run an ML model with the required latency
 </li>
 </ul>
</div>

AI/ ML Engineer

Scionecx Private Limited

Key Responsibilities&#9679; Design, develop, and deploy machine learning models for blockchain-related applications.&#9679; Work with large datasets to perform data preprocessing, cleaning, and feature engineering.&#9679; Build prediction, classification, anomaly detection, and recommendation systems.&#9679; Optimize models for accuracy, performance, and scalability.&#9679; Collaborate with data engineers and blockchain developers for end-to-end ML pipeline integration.&#9679; Implement model monitoring and retraining strategies for production environments.&#9679; Research and apply latest ML/AI algorithms and techniques to improve business outcomes.&#9679; Document solutions, workflows, and provide technical support to the team.Required Skills &amp; Qualifications&#9679; 3&ndash;5 years of professional experience as an ML Engineer/Developer.&#9679; Strong proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn).&#9679; Solid understanding of machine learning algorithms, deep learning, and NLP.&#9679; Experience in data preprocessing, model training, and evaluation.&#9679; Hands-on experience with Pandas, NumPy, and data visualization libraries.&#9679; Familiarity with SQL/NoSQL databases and data pipelines.&#9679; Good knowledge of API development and integration for ML services.&#9679; Strong problem-solving and analytical skills.Good to Have (Preferred)&#9679; Experience with blockchain or Web3 data analytics (on-chain data, anomaly detection, fraud detection).&#9679; Familiarity with cloud ML services (AWS SageMaker, GCP AI, Azure ML).&#9679; Knowledge of MLOps practices (Docker, Kubernetes, CI/CD for ML).&#9679; Exposure to big data platforms (Spark, Hadoop).&#9679; Relevant certifications in ML/AI.Job Type: Full-timePay: AED15,000.00 - AED20,000.00 per monthExperience:<ul><li>TensorFlow, PyTorch, Scikit- Learn: 4 years (Required)</li><li>Spark, Hadoop, Panda, Numpy: 4 years (Required)</li><li>AWS SageMaker, GCP AI, Azure ML: 4 years (Required)</li><li>Docker, Kubernetes, CI/CD for ML: 4 years (Required)</li></ul>License/Certification:<ul><li>Artificial Intelligence &amp; Machine Learning (Required)</li></ul>

Machine Learning Developer

Etihad Credit Bureau

<div>
 
 
 JOB DESCRIPTION SUMMARY
 
 
 
 
 
 
 The Machine Learning Engineer role will specialise in maintaining scoring models, production system maintenance and high-availability operations. You'll orchestrate and maintain our AzureML/Databricks-based scoring engine, ensure 99.99% uptime for production models, perform emergency fixes, and manage QA/UAT processes. This role partners with data scientists to operationalize models and data engineers to ensure efficient data flows.
 
 
 
 
 
 
 KEY DUTIES &amp; RESPONSIBILITIES
 
 
 <ul>
 <li>
 
 Production Model Maintenance:
 
 Monitor, troubleshoot, and rectify issues in deployed credit scoring models (e.g., score drift, feature misalignment, output anomalies).
 </li>
 <li>
 
 Platform Orchestration:
 
 Manage AzureML pipelines &amp; Databricks workflows for model retraining, batch scoring, and real-time inference.
 </li>
 <li>
 
 High-Availability Engineering:
 
 Ensure 24/7 uptime of scoring APIs serving banking clients; implement failover systems and load balancing.
 </li>
 <li>
 
 Release Management:
 
 Oversee QA/UAT processes for model updates including back-testing, shadow deployments, and canary releases.
 </li>
 <li>
 
 Model Governance:
 
 Maintain audit trails for model versions, inputs/outputs, and performance metrics. Support Compliance and Audit with creation of logs when requested.
 </li>
 <li>
 
 Incident Response:
 
 Lead troubleshooting of scoring engine failures with SLAs for financial institution clients.
 </li>
 <li>
 
 Infrastructure Optimization:
 
 Tune AzureML/Databricks clusters for cost-performance efficiency at scale.
 </li>
 <li>
 
 Vendor Management:
 
 Ensure vendor support is completing work as per scope and SLAs. Rectifying any vendor delivery issues.
 </li>
 </ul>
 
 
 
 
 
 EDUCATION &amp; SKILLS
 
 
 <ol>
 <li>
 Educated with at least bachelor&rsquo;s degree or equivalent in related field
 </li>
 <li>
 Education specialization or master&rsquo;s degree in computer science, Software Engineering
 </li>
 <li>
 Proficient in English
 </li>
 <li>
 Preferred proficiency in Arabic
 </li>
 <li>
 In-depth knowledge of React Native and Next JS and related modules, components and libraries
 </li>
 <li>
 Preferred In-depth knowledge of SiteCore or experience integrating with SiteCore
 </li>
 </ol>
 
 
 
 
 
 EXPERIENCE &amp; KNOWLEDGE
 
 
 <ol>
 <li>
 Bachelor's/Master's in Computer Science, Engineering, Data Science, or related field
 </li>
 <li>
 2+ years in Data Science or Software Engineering experience
 </li>
 <li>
 2+ years production ML operations experience, MLOps lifecycle management, including monitoring, retraining, and model versioning.
 </li>
 <li>
 Strong problem-solving skills and the ability to resolve issues efficiently.
 </li>
 <li>
 CI/CD for ML systems using tools such as Azure DevOps, GitHub Actions, MLflow, and other similar tools
 </li>
 <li>
 Ability to adapt ML workflows across different cloud environments (Azure, AWS, GCP) as needed.
 </li>
 </ol>
 
 
 
 
 
 ABILITIES &amp; SPECIFIC REQUIREMENTS
 
 
 <ol>
 <li>
 Practical experience in cloud-based ML platforms such as AzureML, Databricks, or equivalent (e.g., SageMaker, Vertex AI), with a preference for Azure.
 </li>
 <li>
 Python/PySpark for model debugging and patching. Working knowledge of Scikit-Learn and NumPy
 </li>
 <li>
 Deep understanding of credit scoring systems: feature engineering, scorecard interpretation, and output validation
 </li>
 <li>
 Credit bureau data structures (tradelines, inquiries, public records)
 </li>
 <li>
 Model risk management (MRM) standards
 </li>
 <li>
 Azure Solutions Architect or MLOps certifications
 </li>
 <li>
 Experience with financial services-grade SLAs (99.9% uptime) and outage management
 </li>
 <li>
 Knowledge of containerization (Docker, Kubernetes, AKS, or similar orchestration tools)
 </li>
 <li>
 Practical experience with Azure Data Factory (ADF) and Azure Data Lake Storage (ADLS) / Azure Blob Storage
 </li>
 <li>
 Knowledge of new and upcoming AI tools
 </li>
 <li>
 This is contained within the earlier requirement of python. If the plan is for this resource
 </li>
 <li>
 Excellent written and verbal communication skills English
 </li>
 <li>
 Strong interpersonal skills with the ability to engage and build relationships
 </li>
 <li>
 Crisis management under pressure
 </li>
 <li>
 Cross-functional collaboration with data science/risk teams
 </li>
 <li>
 Strong organizational skills with the ability to manage multiple tasks and projects simultaneously.
 </li>
 <li>
 Ability to develop and document procedures, roles, and guidelines.
 </li>
 <li>
 
 Security and Compliance
 
 Especially in financial services, mention data security, PII handling, and compliance with regulations
 </li>
 </ol>
</div>

Machine Learning Engineer (Contract - For Immediate Hire)

Make Fortune Business Solutions

About UsReal Law AI is a legal tech startup in the UAE. Founded in 2024, we already have 500+ paying users.What You&rsquo;ll Do (Key Responsibilities)<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>Who You Are (Required Skills)<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>Nice to Have (Preferred Skills)<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>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.What We Offer<ul><li>Competitive salary (negotiable).</li><li>Friendly, non-toxic team culture.</li><li>Flexible format: hybrid or remote work.</li></ul>Job Types: Full-time, Temporary, ContractApplication Question(s):<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>
 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.
 
 
 We'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.
 
 
 But we're not stopping there. We'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.
 
 
 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.
 
 
 
 Responsibilities
 
 
 
 <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>
 <li>
 Monitor the performance of AI tools and models, ensuring they are functioning efficiently and effectively
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Minimum 3 years of engineering experience
 </li>
 <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>
 
 Bonus
 
 
 
 <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>
 
 Benefits
 
 
 
 <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

Watts Water Technologies

<div>
 The Intelligent Process Automation (IPA) team at Watts Water Technologies drives innovation by delivering cutting-edge solutions in automation, data management, and analytics. As a global team, the IPA team enhances operational efficiency and decision-making across Watts Water Technologies companies worldwide.
 
 
 The team specializes in Robotic Process Automation (RPA) to streamline repetitive tasks and improve productivity, workflow development to ensure seamless coordination across departments, and Data, ETL, and Business Intelligence (BI) to create robust data management and visualization solutions. By integrating advanced technologies like IoT, the team fosters innovation and smarter customer experiences.
 
 
 Collaborating closely with departments such as Engineering, Finance, and IT, the IPA team bridges products and services to deliver value-driven, connected solutions for Watts&rsquo; customers.
 
 
 As an AI Developer, you will be pivotal in advancing data-driven initiatives, designing innovative ML/AI solutions, and contributing to the organization's digital transformation journey.
 
 
 
 Responsibilities And Duties
 
 
 
 <ul>
 <li>
 Identify and propose opportunities for leveraging ML/AI to drive business value.
 </li>
 <li>
 Collaborate with cross-functional teams, including Product, IoT/Digital Solutions, Marketing, Finance, and Customer Service, to design and implement ML/AI solutions.
 </li>
 <li>
 Scope, manage, and execute data science projects aligned with business goals.
 </li>
 <li>
 Partner with Engineering to optimize sensor data flows and develop analytical software for IoT devices.
 </li>
 <li>
 Collaborate with Product Management to identify and develop IoT-driven product features.
 </li>
 <li>
 Ensure compliance with privacy and security standards by working with internal security teams.
 </li>
 <li>
 Develop ML/AI solutions to improve business outcomes such as financial forecasting, customer behavior analysis, product recommendations, A/B testing, and campaign optimization.
 </li>
 <li>
 Contribute to strategic initiatives in big data and advanced analytics.
 </li>
 <li>
 Discover and integrate new data sources to enhance analytics capabilities.
 </li>
 <li>
 Conduct statistical analysis and apply ML/AI methodologies for predictive and prescriptive analytics.
 </li>
 <li>
 Follow and support best practices for ML/AI development, infrastructure, and ML Ops.
 </li>
 <li>
 Collaborate and learn from senior data scientists, including those from outsourcing partners.
 </li>
 <li>
 Stay updated on data science principles and techniques to support continuous learning.
 </li>
 <li>
 Build and maintain strong working relationships with IT colleagues and business stakeholders.
 
 
 </li>
 </ul>
 
 Education
 
 
 
 <ul>
 <li>
 Bachelor or Master degree in data science, computer science, statistics or related fields.
 
 
 </li>
 </ul>
 
 Management
 
 
 
 <ul>
 <li>
 This position does not have any direct reports.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 2-3 years of relevant experience in working with AI/ML projects for various business functions.
 </li>
 <li>
 Expertise in Python or Working experience in Scala, Spark and C++
 </li>
 <li>
 Proficiency in database programming languages such as SQL, PL/SQL
 </li>
 <li>
 Proficiency in .NET Core programming is a plus but not required
 </li>
 <li>
 Experience with ML/Deep Learning techniques/algorithms (Regression, Classification, Clustering, Neural Networks, Random Forest, Boosting, Trees, Text Mining, SVM, Graph Analysis, Computer Vision, etc.).
 </li>
 <li>
 Knowledge of some ML libraries (such as Py Torch, Keras, Pandas, NumPy, OpenCV, etc.).
 </li>
 <li>
 Experience with Large Language Models (LLMs) such as OpenAI GPT, BERT, or similar, including fine-tuning and deploying them for domain-specific use cases.
 </li>
 <li>
 Experience with Retrieval-Augmented Generation (RAG) frameworks to combine LLM reasoning with external knowledge retrieval for applications like Q&amp;A systems, semantic search, and document processing.
 </li>
 <li>
 Experience with Streaming Analytics and applied machine learning.
 </li>
 <li>
 Experience with Big Data processing tools and techniques.
 </li>
 <li>
 Familiarity with agile methodology and DevOps/MLOps practices (e.g., MLFlow, Kubeflow).
 </li>
 <li>
 Experience with Azure IoT Edge platform is preferable.
 </li>
 <li>
 Experience with Azure Databricks is preferable.
 </li>
 <li>
 Strong analytical and critical thinking to solve business problems using AI technologies, including LLMs and RAG.
 </li>
 <li>
 Understanding of ethical AI practices and ability to optimize AI solutions for scalability, latency, and cost.
 </li>
 <li>
 High proficiency in written and oral communication, with the ability to present technical concepts to stakeholders at all levels.
 </li>
 <li>
 Ability to work on multiple projects in a fast-paced environment.
 </li>
 <li>
 Preferably in Manufacturing domain and IoT products related.
 </li>
 </ul>
</div>

AI Developer

edari

<div>
 
 We are currently seeking a
 
 Senior
 
 
 AI/ML Data Scientist
 
 who will be responsible for designing, developing, and productionizing AI/ML models that deliver measurable business impact. The ideal candidate will own the full lifecycle from framing business problems and shaping datasets to model training, deployment with MLOps best practices, and post-launch monitoring. The role ensures models are accurate, reliable, and aligned with business objectives, while translating complex business requirements into actionable AI solutions and promoting transparency across key processes and performance indicators.
 
 
 
 
 
 Our client based in
 
 Dubai
 
 , is one of the largest semi-government organisations in the region. This position is a contract role with an initial duration of
 
 15 months
 
 and is
 
 renewable.
 
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Design, train, validate, and deploy advanced ML/DL models (NLP, CV, transformers, statistical learning).
 </li>
 <li>
 Optimize models for accuracy, scalability, and latency to ensure production readiness.
 </li>
 <li>
 Apply responsible AI principles, including fairness, bias detection, and explainability.
 </li>
 <li>
 Build and manage pipelines, feature stores, and ingestion frameworks (real-time and batch).
 </li>
 <li>
 Implement MLOps practices: CI/CD workflows, registries, automated retraining, and observability.
 </li>
 <li>
 Monitor and resolve issues related to data drift, leakage, and model reliability.
 </li>
 <li>
 Ensure compliance with GDPR, ISO standards, ICAO digital/AI frameworks, and organizational policies.
 </li>
 <li>
 Promote transparency of AI-driven KPIs and processes across the enterprise.
 </li>
 <li>
 Conduct fairness audits, model explainability, and ethical risk assessments.
 </li>
 <li>
 Translate complex, ambiguous business challenges into AI/ML opportunities.
 </li>
 <li>
 Define scope, feasibility, and expected value of AI initiatives.
 </li>
 <li>
 Advise stakeholders on risks, trade-offs, and adoption strategies.
 </li>
 <li>
 Deliver insights, dashboards, and validation reports to senior management and cross-functional teams.
 </li>
 <li>
 Influence adoption of AI solutions using expert authority and evidence-based recommendations.
 </li>
 <li>
 Act as a subject matter expert, supporting enterprise-wide AI strategy and operational decisions.
 </li>
 </ul>
 
 
 
 
 
 Knowledge, skills &amp; experience:
 
 
 <ul>
 <li>
 Professional certification in Machine Learning (preferred).
 </li>
 <li>
 Bachelor's degree in Computer Science, Mathematics, Statistics, Data Science, or related
 </li>
 <li>
 Proven experience applying AI/ML solutions in real-world domains.
 </li>
 <li>
 Strong track record in translating business challenges into AI/ML opportunities with measurable business impact.
 </li>
 <li>
 Expertise in deep learning and statistical methods, with hands-on model development and production deployment.
 </li>
 <li>
 Familiarity with responsible AI principles and their application in regulated industries.
 </li>
 <li>
 Programming &amp; Data Science: Python, R, SQL, StreamLit
 </li>
 <li>
 ML &amp; AI Frameworks: TensorFlow, PyTorch, Keras, scikit-learn, Hugging Face
 </li>
 <li>
 MLOps &amp; Deployment: Docker, Kubernetes, Git CI/CD
 </li>
 <li>
 Data Engineering: Apache Spark, Kafka, dbt
 </li>
 <li>
 Cloud Platforms: Azure ML
 </li>
 <li>
 Visualization: Power BI, Tableau
 </li>
 <li>
 Responsible AI Tools: AI Governance Platform (e.g. Atlan)
 </li>
 </ul>
</div>

Senior AI/ML Data Scientist

Explore 1057+ Ml engineer in Dubai this September. Find roles across top companies and apply now to boost your career.