mechanical engineer Jobs in Dubai United Arab Emirates

mechanical engineer

estimation engineer Jobs in Dubai United Arab Emirates

estimation engineer

technical engineer Jobs in Dubai United Arab Emirates

technical engineer

ai engineer Jobs in Dubai United Arab Emirates

ai engineer

data engineer Jobs in Dubai United Arab Emirates

data engineer

machine learning engineer

Confidential Company

<ul><li>Develop and deploy machine learning models for real-world applications, from data collection to model serving, ensuring scalability and efficiency.</li><li>Collaborate with cross-functional teams (data scientists, software engineers, product managers) to understand business needs and translate them into machine learning solutions.</li><li>Design and implement end-to-end machine learning pipelines, including data preprocessing, feature engineering, model training, evaluation, and deployment.</li><li>Experiment with various machine learning algorithms, frameworks, and tools to identify the best solutions for specific problems, optimizing for performance and accuracy.</li><li>Write clean, well-documented, and testable code (Python, etc.) and contribute to code reviews, ensuring code quality and maintainability.</li><li>Monitor and maintain deployed machine learning models, addressing performance issues, retraining models with new data, and ensuring continuous improvement.</li></ul>

Machine Learning Engineer

Stellar Technologies

Key Responsibilities
<ul>
<li>Develop and optimize AI systems leveraging LLMs, RAG, and agentic AI frameworks (LangChain, LangGraph).</li>
<li>Build and deploy production-grade ML pipelines with real-time inference and retrieval components.</li>
<li>Design and manage APIs and streaming services to integrate AI models into enterprise platforms.</li>
<li>Implement containerized, orchestrated deployments using Docker, Kubernetes, and Azure ML.</li>
<li>Automate data preprocessing, model training, evaluation, and versioning pipelines.</li>
<li>Collaborate with cross-functional teams to integrate models into front-end, analytics, and automation workflows.</li>
<li>Ensure governance, compliance, and security of deployed AI workloads.</li>
<li>Conduct performance benchmarking and optimize inference latency and cost.</li>
<li>Monitor AI systems in production using observability frameworks (logging, metrics, tracing).</li>
<li>Participate in architecture discussions to enhance scalability and reliability of AI services.</li>
</ul>
Required Skills &amp; Experience
<ul>
<li>Strong hands-on experience with LLMs, RAG, and agentic frameworks (LangChain, LangGraph, Semantic Kernel, etc.).</li>
<li>Proficiency in Python, with deep understanding of ML libraries like PyTorch, TensorFlow, scikit-learn, Hugging Face Transformers.</li>
<li>Solid experience in API and microservices engineering (FastAPI, Flask).</li>
<li>Familiarity with streaming architectures and real-time data handling.</li>
<li>Knowledge of cloud platforms (Azure preferred), including Azure AI, Cognitive Services, and ML Ops.</li>
<li>Experience with containerization and orchestration (Docker, Kubernetes).</li>
<li>Understanding of vector databases (Pinecone, Weaviate, FAISS) and retrieval mechanisms.</li>
<li>Experience in CI/CD, model deployment, and production monitoring.</li>
</ul>
Preferred Skills
<ul>
<li>Exposure to GPU-based inference optimization and serverless deployment.</li>
<li>Knowledge of observability and monitoring tools for AI (Prometheus, Grafana, Azure Monitor).</li>
<li>Experience in model fine-tuning, prompt engineering, or agentic orchestration.</li>
<li>Understanding of AI governance, ethical AI, and data privacy frameworks.</li>
</ul>
Soft Skills
<ul>
<li>Strong analytical and problem-solving mindset.</li>
<li>Excellent collaboration and communication skills.</li>
<li>Passion for innovation, experimentation, and applied AI.</li>
</ul>

Machine Learning Engineer Generative AI

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)

Almosafer

We are seeking a talented Machine Learning Engineer to join our data science team. The ideal candidate will be responsible for developing and implementing machine learning models and algorithms that solve complex business problems. You will work closely with data scientists, software engineers, and stakeholders to deliver scalable solutions.
Responsibilities:
<ul>
<li>Design, build, and deploy machine learning models and algorithms.</li>
<li>Collaborate with data scientists to refine data features and enhance model performance.</li>
<li>Optimize and improve existing machine learning models for efficiency and accuracy.</li>
<li>Conduct data preprocessing, feature engineering, and data analysis.</li>
<li>Monitor and maintain models in production to ensure they operate effectively.</li>
<li>Document and communicate model designs and performance metrics to stakeholders.</li>
<li>Stay updated on the latest industry trends and advancements in machine learning and AI.</li>
<li>Participate in code reviews and contribute to a culture of continuous improvement</li>
</ul>
Preferred Skills:
<ul>
<li>Familiarity with version control systems (e.g., Git) and CI/CD practices.</li>
<li>Experience with AI/GenAI</li>
<li>Experience with AWS data services (e.g., AWS EMR, AWS Glue, AWS Athena)</li>
<li>Design/build and deploy API services</li>
</ul>

Specialist - Machine Learning

Onliest

Job Title: Machine Learning Engineer &ndash; 3D GraphicsLocation: UAE Experience: 6+ years Job Type: Full-TimeRole: We are seeking a highly skilled and innovative Machine Learning Engineer with 3D Graphics expertise. In this role, you will be responsible for developing and optimizing 3D mannequin models using machine learning algorithms, computer vision techniques, and 3D rendering tools. You will collaborate with backend developers, data scientists, and UI/UX designers to create realistic, scalable, and interactive 3D visualization modules that enhance the user experience.Key Responsibilities:3D Mannequin Model Development:<ul><li>Design and develop 3D mannequin models using ML-based body shape estimation.</li><li>Implement pose estimation, texture mapping, and deformation models.</li><li>Use ML algorithms to adjust measurements for accurate sizing and fit.</li></ul>Machine Learning &amp; Computer Vision:<ul><li>Develop and fine-tune ML models for body shape recognition, segmentation, and fitting.</li><li>Implement pose detection algorithms using TensorFlow, PyTorch, or OpenCV.</li><li>Use GANs or CNNs for realistic 3D texture generation.</li></ul>3D Graphics &amp; Visualization:<ul><li>Create interactive 3D rendering pipelines using Three.js, Babylon.js, or Unity.</li><li>Optimize mesh processing, lighting, and shading for real-time rendering.</li><li>Use GPU-accelerated techniques for rendering efficiency.</li></ul>Model Optimization &amp; Performance:<ul><li>Optimize inference pipelines for faster real-time rendering.</li><li>Implement multi-threading and parallel processing for high performance.</li><li>Utilize cloud infrastructure (AWS/GCP) for distributed model training and inference.</li></ul>Collaboration &amp; Documentation:<ul><li>Collaborate with UI/UX designers for seamless integration of 3D models into web and mobile apps.</li><li>Maintain detailed documentation for model architecture, training processes, and rendering techniques.</li></ul>Key Skills &amp; Qualifications:Experience:<ul><li>3&ndash;8 years in Machine Learning, Computer Vision, and 3D Graphics Development.</li></ul>Technical Skills:<ul><li>Proficiency in Django, Python, TensorFlow, PyTorch, and OpenCV.</li><li>Strong expertise in 3D rendering frameworks: Three.js, Babylon.js, or Unity.</li><li>Experience with 3D model formats (GLTF, OBJ, FBX).</li><li>Familiarity with Mesh Recovery, PyMAF, and SMPL models.</li></ul>ML &amp; Data Skills:<ul><li>Hands-on experience with GANs, CNNs, and RNNs for texture and pattern generation.</li><li>Experience with 3D pose estimation and body measurement algorithms.</li></ul>Cloud &amp; Infrastructure:<ul><li>Experience with AWS (SageMaker, Lambda) or GCP (Vertex AI, Cloud Run).</li><li>Knowledge of Docker and Kubernetes for model deployment.</li></ul>Graphics &amp; Visualization:<ul><li>Knowledge of 3D rendering engines with shader programming.</li><li>Experience in optimization techniques for rendering large 3D models.</li></ul>Soft Skills:<ul><li>Strong problem-solving skills and attention to detail.</li><li>Excellent collaboration and communication skills.</li></ul>Interested candidates can send their updated resume to: careers@onliestworld.comJob Type: Full-time

ML Engineer -3D Graphic

GSSTech Group

<div>We are seeking a highly skilled and experienced Principal Data Scientist / IT Engineer (Applications) to lead data-driven initiatives and drive innovation across our organization. The ideal candidate will have a strong background in data science, machine learning, and cloud-based analytics, with the ability to translate complex business problems into actionable insights.
Requirements<h3 class="jobSectionHeader">
Key Responsibilities:</h3><ul>
<li>Analyze large and complex datasets to identify trends, patterns, and business opportunities.
</li><li>Develop, train, and deploy machine learning models for classification, regression, clustering, and recommendation systems.
</li><li>Collaborate with cross-functional teams to define business challenges and design end-to-end data science solutions.
</li><li>Communicate findings and insights through effective visualizations, dashboards, and presentations.
</li><li>Implement MLOps best practices for model deployment, monitoring, and optimization.
</li><li>Stay current with emerging technologies and advancements in data science, AI, and analytics.
</li><li>Ensure scalability and performance of models in production environments.
</li></ul><h3 class="jobSectionHeader">Required Skills &amp; Qualifications:</h3><ul>
<li>Proven experience in data science, machine learning, and advanced analytics.
</li><li>Strong programming skills in Python, R, or Scala.
</li><li>Hands-on experience with cloud platforms such as AWS, Azure, or GCP.
</li><li>Familiarity with big data frameworks (e.g., Spark, Hadoop).
</li><li>Solid understanding of statistical analysis, predictive modeling, and data engineering workflows.
</li><li>Experience with MLOps, CI/CD pipelines, and deployment frameworks.
</li><li>Excellent communication and problem-solving skills.
</li><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Engineering, or a related field.
</li></ul><h3 class="jobSectionHeader">Preferred Qualifications:</h3><ul>
<li>Experience working in large-scale enterprise environments.
</li><li>Knowledge of data visualization tools such as Power BI, Tableau, or Looker.
</li><li>Experience leading or mentoring junior data scientists or engineers.</li></ul></div>

Principal Data Scientist - IT Applications

KILONEWTONS

Job Overview
We are seeking a highly skilled AI Engineer to design, develop, and deploy advanced AI models and algorithms. You ll work on cutting-edge projects, collaborate with top talent, and contribute to groundbreaking AI solutions.
 Key Responsibilities
<ul>
<li>Design and implement machine learning models and AI algorithms.</li>
<li>Develop scalable AI solutions for real-world applications.</li>
<li>Optimize and fine-tune models for performance and accuracy.</li>
<li>Collaborate with cross-functional teams (data scientists, engineers, product managers).</li>
<li>Stay updated with the latest advancements in AI, NLP, computer vision, and deep learning.</li>
<li>Deploy AI models in production environments (cloud/on-premise).</li>
</ul>
 Requirements
<ul>
<li> Bachelor s/Master s in Computer Science, AI, or related field. </li>
<li> 3+ years of experience in AI/ML model development.</li>
<li>Strong expertise in Python, TensorFlow, PyTorch, or Keras.</li>
<li>Experience with NLP, LLMs (GPT, BERT), or computer vision.</li>
<li>Knowledge of cloud platforms (AWS, GCP, Azure) and MLOps.</li>
<li>Strong problem-solving and analytical skills.</li>
</ul>

AI ENGINEER

Explore 2884+ Machine learning engineer in Dubai United Arab Emirates this November. Find roles across top companies and apply now to boost your career.