machine learning engineer

Dezzex

Who we are?Dezzex uses Artificial Intelligence and Machine Learning technologies to advance the motor insurance industry by creating a system to automate claims. We use these technologies to improve insurance processes, reduce operational costs and enable a seamless customer experience. Our solution offering is also designed for the insurance companies, Insurance companies, Smart cities application.For applying as a Sr. Machine Learning Engineer, the person should have overall 7-8 years of experience out of which 4-5 years of experience should be in Machine &amp; Deep Machine learning. Especially using Convolution Neural Network (CNN), Image Analytics TensorFlow, Open CV etc.For applying as just a data scientist (Junior), the person needs to have experience of 3 - 9 years.With our fast-growing data scientist's team, we are looking to hire self-motivated smart individuals who are willing to take challenges in the field of Al image &amp; video analytics &amp; machine learning.Responsibilities:The Machine &amp; Deep Machine Learning Software Engineer (Expertise in Computer Vision) will be an early member of a growing team with responsibilities for designing and developing highly scalable machine learning solutions that impact many areas of our business.The individual in this role will help in the design and development of Neural Network (especially Convolution Neural Networks) &amp; ML solutions based on our reference architecture which is underpinned by big data &amp; cloud technology, micro-service architecture and high performing compute infrastructure.Typical daily activities include contributing to all phases of algorithm development including ideation, prototyping, design, and development production implementation.Required Skills:An ideal candidate will have background in software engineering and data science with expertise in machine learning algorithms, statistical analysis tools, and distributed systems.Experience in building machine learning applications, and broad knowledge of machine learning APIs, tools, and open source librariesStrong coding skills and fundamentals in data structures, predictive modelling and big data concepts Experience in designing full stack ML solutions in a distributed compute environmentExperience working with Python, Tensor Flow, Kera's, Sci-kit, pandas, NumPy, AZURE, AWS GPU Excellent communication skills with multiple levels of the organizationPay: AED10,000.00 - AED20,000.00 per monthExperience:<ul><li>ML: 3 years (Required)</li><li>Development: 5 years (Required)</li></ul>Language:<ul><li>Arabic (Preferred)</li></ul>Work Location: In person

Sr. Machine learning engineer.

DATAMAZE . AI

<div>
 Hyderabad, India / Dubai, UAE
 
 
 Full-time
 
 
 Apply to Job
 
 
 
 About The Role
 
 
 
 We are looking for a highly motivated Machine Learning Engineer / Data Scientist to join our dynamic team. In this mid-level role, you will leverage your expertise in data science and machine learning to design, build, and deploy innovative models and solutions that address real-world challenges.
 
 
 You will collaborate with cross-functional teams, including data engineers, product managers, and software developers, to turn complex datasets into actionable insights and build machine learning solutions that drive business value. This is a fantastic opportunity to work on impactful projects, expand your skill set, and contribute to cutting-edge advancements in AI and data science.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Model Development: Design, train, and evaluate machine learning models to solve business problems such as classification, regression, clustering, and recommendation.
 </li>
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 Data Preparation: Work with large and complex datasets, performing data cleaning, preprocessing, and feature engineering to optimize model performance.
 </li>
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 Model Deployment: Deploy machine learning models into production environments, ensuring scalability and robustness.
 </li>
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 Algorithm Selection: Research and implement state-of-the-art algorithms and methodologies to enhance model accuracy and efficiency.
 </li>
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 Collaboration: Collaborate with data engineering teams to build data pipelines and ensure efficient data flow for machine learning workflows.
 </li>
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 Visualization and Reporting: Create clear and actionable visualizations and reports to communicate findings and results to stakeholders.
 </li>
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 Monitoring and Maintenance: Monitor model performance in production, address drift or bias issues, and optimize models as needed.
 </li>
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 Tool Development: Build tools and frameworks to enable rapid experimentation and iteration of machine learning models.
 </li>
 <li>
 Documentation: Maintain comprehensive documentation for models, experiments, and processes.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Education:
 
 
 
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Machine Learning, Statistics, or a related field (or equivalent experience).
 
 
 
 Technical Skills
 
 
 
 <ul>
 <li>
 Strong programming skills in Python, R, or similar languages.
 </li>
 <li>
 Experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, Scikit-learn, or Keras.
 </li>
 <li>
 Proficiency in data manipulation and analysis using tools like Pandas, NumPy, and SQL.
 </li>
 <li>
 Experience with big data technologies such as Spark, Hadoop, or similar.
 </li>
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 Knowledge of cloud platforms and services (e.g., AWS SageMaker, Google AI Platform, Azure ML).
 </li>
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 Familiarity with MLOps practices and tools for CI/CD in machine learning workflows.
 </li>
 <li>
 Understanding of data visualization tools like Matplotlib, Seaborn, or Tableau.
 </li>
 <li>
 Strong grasp of statistical methods, probability, and optimization techniques.
 
 
 </li>
 </ul>
 
 Experience
 
 
 
 <ul>
 <li>
 3&ndash;5 years of experience in machine learning, data science, or a related field.
 </li>
 <li>
 Proven experience building and deploying machine learning models in production.
 </li>
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 Experience with natural language processing (NLP), computer vision, or time-series analysis is a plus.
 
 
 </li>
 </ul>
 
 Soft Skills
 
 
 
 <ul>
 <li>
 Strong problem-solving and analytical thinking abilities.
 </li>
 <li>
 Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
 </li>
 <li>
 Ability to work independently and collaboratively within a team.
 </li>
 <li>
 Curiosity and eagerness to stay updated on the latest advancements in machine learning and AI.
 
 
 </li>
 </ul>
 
 About The Company
 
 
 
 Datamaze is a dynamic company specializing in AI, Data, and Analytics consulting services. We are dedicated to transforming businesses by leveraging the power of data and artificial intelligence. With a team of industry experts in technology, business strategy, and data science, Datamaze offers a range of services including data strategy development, AI model creation, advanced analytics, and data visualization. Our approach is client-centric, focusing on creating customized solutions that address unique business challenges and objectives. The team, comprising data scientists, AI experts, strategists, and engineers, is committed to continuous learning and innovation.
 
 
 Datamaze positions itself as a trusted partner for businesses looking to navigate the complex data and AI landscape, aiming to optimize operations, inform decision-making, and maintain a competitive edge.
 
 
 Apply Now
</div>

Machine Learning Engineer / Data Scientist (Mid-Level)

DocuSketch

<div>
 
 The fastest-growing European SaaS company is searching for an
 
 AI/ML Engineer!
 
 
 
 ⚠️
 
 Before you apply:
 
 
 
 We require
 
 real 3D experience
 
 &mdash; meaning actual project work, not just listed skills. If 3D does not appear in your actual work history, this role is not for you.
 
 
 Applications that don't meet these criteria will be automatically rejected and may limit your eligibility for other DocuSketch roles.
 
 
 
 
 
 
 About DocuSketch:
 
 
 
 DocuSketch, with its European Headquarters in Potsdam, Germany, is a leading European software technology provider for the digital real estate economy. With our product brands Immoviewer and DocuSketch, we have become one of the most successful and fastest-growing software vendors in the rapidly expanding property tech sector. Our enthusiastic customer base is located across Europe and North America. DocuSketch's groundbreaking digital technology greatly facilitates real estate companies and building restoration companies to digitize, visualize, and virtualize real estate properties. Our solutions help our clients realize tremendous cost-saving potentials, process optimization, and revenue growth.
 
 
 
 
 
 You&rsquo;ll be working in a team that drives the company's AI development to develop algorithms for a variety of different use cases. This includes, e.g., working with equirectangular, phone, or satellite images to detect doors, windows, or other objects inside of buildings or finding facets on the roof. You&rsquo;ll be challenged by solving complex 3D geometry problems and working closely with our labeling team to ensure the best possible data quality.
 
 
 
 
 
 
 Responsibilities and Duties
 
 
 
 &middot; Research, train and deploy state-of-the-art machine learning models for object detection and 3D perception on equirectangular images
 
 
 &middot; Quickly prototype new ideas/technologies to create proof of concept and demos
 
 
 
 
 
 
 Qualifications
 
 
 
 &middot; Bachelor&rsquo;s Degree in Computer Science or equivalent experience
 
 
 &middot; Excellent math skills
 
 
 &middot; Experience with 3D computer vision algorithms
 
 
 &middot; Preferably 5+ years of experience developing and training machine learning models
 
 
 &middot; Strong Experience with Deep ML frameworks (PyTorch)
 
 
 &middot; Strong Experience in Python
 
 
 &middot; Self-motivated and energetic team player with a strong work ethic and cooperative attitude
 
 
 &middot; Excellent communication and organizational skills
 
 
 
 
 
 
 Plus
 
 
 
 &middot; Familiarity with building big data systems
 
 
 &middot; Training very large models using multiple GPUs in the cloud
 
 
 &middot; Experience with training machine learning models on equirectangular images
 
 
 
 
 
 We are seeking a performance-driven, high-energy personality who has several years of experience in the field. Since you will work intensely with teams from many countries, a solid command of the English language is a prerequisite. We offer attractive compensation, unlimited career opportunities, and the possibility to work in one of the most exciting software companies in the industry. Our headquarters are in Berlin, Germany, with major offices in Belgrade, Serbia, Lakeland, Florida, and in Canada.
 
 
 
 
 
 We look forward to receiving your application!
 
</div>

AI/ML Engineer

Dicetek LLC

<div>
 
 Summary Of Role
 
 
 
 <ul>
 <li>
 Co-development of analytical engines based on statistical and machine learning algorithms
 </li>
 <li>
 Creation of sustainable digital solutions integrated with existing IT infrastructure in collaboration with business
 
 
 </li>
 </ul>
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Conducts analytical experiments methodically with guidance from technology lead to help solve various problems and make a true impact across multiple domains and situations
 </li>
 <li>
 Process relevant data sources and build clear data-cleaning pipelines to feed data points and variables to the models in a well-structured format
 </li>
 <li>
 Devise and utilize algorithms and models to mine big data stores, perform data and error analysis to improve models, and clean and validate data for uniformity and accuracy for visualization to business
 </li>
 <li>
 Analyze data for trends and patterns, apply statistical and machine learning algorithms, and interpret data with a clear objective in mind in line with project goals and milestones
 </li>
 <li>
 Support the deployment of analytical models into existing IT infrastructure by collaborating with DevOps engineers and Product owners
 </li>
 <li>
 Maintain delivered solutions sustainability after the development phase
 
 
 </li>
 </ul>
 
 ﻿Required Qualifications &amp; Experience
 
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in information systems, data analytics, data science, computer science, economics, risk management or another quantitative related field
 </li>
 <li>
 Experience with Excel, SQL, Python, basic BI-development
 </li>
 <li>
 Proficiency in data processing (Pandas), statistical analysis, and machine learning algorithms
 </li>
 <li>
 Knowledge in building data processing pipelines &amp; ETLs
 </li>
 <li>
 Experience in implementing predictive engines with a focus on time-series forecast
 </li>
 <li>
 Experience in writing API calls based on specifications
 </li>
 <li>
 Experience in automated testing, ability to write mock and unit tests to test both model inputs and outputs
 </li>
 <li>
 Effective collaboration, experience in working with Scrum/Agile teams &amp; task tracking
 
 
 </li>
 </ul>
 
 Additional Considerations
 
 
 
 <ul>
 <li>
 The preferred profile is "all-the-way-rounder" rather than a person with deep expertise in only something specific
 </li>
 </ul>
</div>

Data Scientist (Arabic Speaker)

DICETEK LLC

<div>Summary of role<ul><li>Co-development of analytical engines based on statistical and machine learning algorithms</li><li>Creation of sustainable digital solutions integrated with existing IT infrastructure in collaboration with business</li></ul>
Responsibilities<ul><li>Conducts analytical experiments methodically with guidance from technology lead to help solve various problems and make a true impact across multiple domains and situations</li><li>Process relevant data sources and build clear data-cleaning pipelines to feed data points and variables to the models in a well-structured format</li><li>Devise and utilize algorithms and models to mine big data stores, perform data and error analysis to improve models, and clean and validate data for uniformity and accuracy for visualization to business</li><li>Analyze data for trends and patterns, apply statistical and machine learning algorithms, and interpret data with a clear objective in mind in line with project goals and milestones</li><li>Support the deployment of analytical models into existing IT infrastructure by collaborating with DevOps engineers and Product owners</li><li>Maintain delivered solutions sustainability after the development phase</li></ul> 
﻿Required Qualifications &amp; experience<ul><li>Bachelor's or Master's degree in information systems, data analytics, data science, computer science, economics, risk management or another quantitative related field</li><li>Experience with Excel, SQL, Python, basic BI-development</li><li>Proficiency in data processing (Pandas), statistical analysis, and machine learning algorithms</li><li>Knowledge in building data processing pipelines &amp; ETLs</li><li>Experience in implementing predictive engines with a focus on time-series forecast</li><li>Experience in writing API calls based on specifications</li><li>Experience in automated testing, ability to write mock and unit tests to test both model inputs and outputs</li><li>Effective collaboration, experience in working with Scrum/Agile teams &amp; task tracking</li></ul>
Additional considerations<ul><li>The preferred profile is &quot;all-the-way-rounder&quot; rather than a person with deep expertise in only something specific</li></ul></div>

Tata Consultancy Services

<div>
 
 
 Job Title
 
 &ndash; AI Engineer
 
 
 
 Company
 
 &ndash; TCS (MEA)
 
 
 
 Location
 
 &ndash; Dubai
 
 
 
 Job type
 
 &ndash; Full time
 
 
 
 
 
 
 About Us:
 
 
 
 Tata Consultancy Services (TCS) is an IT services, consulting and business solutions organization that has been partnering with many of the world&rsquo;s largest businesses in their transformation journeys for over 50 years. TCS offers a consulting-led, cognitive powered, integrated portfolio of business, technology and engineering services and solutions. This is delivered through its unique Location Independent Agile&trade; delivery model, recognized as a benchmark of excellence in software development.
 
 
 A part of the Tata group, India's largest multinational business group, TCS has over 616,171 of the world&rsquo;s best-trained consultants with 157 nationalities in 53 countries. For more information, visit www.tcs.com and follow TCS news at @TCS_News.
 
 
 
 
 
 
 
 Job Description:
 
 
 
 
 
 
 
 
 Key Accountabilities:
 
 
 <ul>
 <li>
 
 AI Solution Design &amp; Development:
 
 </li>
 <li>
 Design, build, and deploy AI-powered applications using Azure AI Services, including Azure OpenAI Service, Azure Machine Learning, Azure Cognitive Services (Speech, Vision, Language), Azure AI Search, Azure Functions, and Azure Databricks.
 </li>
 <li>
 
 LLM Integration &amp; Generative AI:
 
 </li>
 <li>
 Develop and integrate Large Language Model (LLM) solutions using Azure OpenAI endpoints (GPT-4.1, GPT-4o, GPT-4o-mini) routed through FAB's centralized AI Hub gateway for governance, observability, and capacity management. Build enterprise use cases such as knowledge search, document intelligence, content summarization, call analytics, sentiment analysis, and workflow automation.
 </li>
 <li>
 
 Python Engineering &amp; Backend Development:
 
 </li>
 <li>
 Write clean, modular, and production-grade Python code for AI/ML model development, API integrations, data processing pipelines, backend services, and automation workflows using frameworks such as LangChain, LlamaIndex, Semantic Kernel, LangGraph, and FastAPI.
 </li>
 <li>
 
 RAG &amp; Semantic Retrieval:
 
 </li>
 <li>
 Implement Retrieval-Augmented Generation (RAG) pipelines, embeddings, vector search, semantic retrieval architectures, prompt engineering, and evaluation techniques for enterprise knowledge mining and document intelligence.
 </li>
 <li>
 
 Agentic AI Development:
 
 </li>
 <li>
 Design and develop intelligent agentic AI systems capable of planning, reasoning, tool execution, and orchestration across enterprise systems using FAB's GERNAS OS platform and Agent Development Kit (ADK) in a secure and governed manner.
 </li>
 <li>
 
 Model Evaluation &amp; Responsible AI:
 
 </li>
 <li>
 Implement model evaluation metrics for accuracy, hallucination detection, bias, latency, and throughput in alignment with FAB's Responsible AI framework. Ensure AI solutions comply with FAB's security, data privacy, model governance, and regulatory requirements, including controls for accuracy, hallucination, bias, latency, and resilience.
 </li>
 <li>
 
 Deployment &amp; Production Operations:
 
 </li>
 <li>
 Deploy, monitor, and optimize AI solutions in production environments using CI/CD practices, containerization, observability, logging, performance monitoring, and cost optimization techniques.
 </li>
 <li>
 
 Collaboration &amp; Stakeholder Engagement:
 
 </li>
 <li>
 Collaborate with data scientists, platform engineers, DevOps/MLOps engineers, business analysts, and product teams to convert business requirements into scalable AI solutions.
 </li>
 <li>
 
 Innovation &amp; Continuous Learning:
 
 </li>
 <li>
 Continuously evaluate emerging Azure AI, Generative AI, and Agentic AI capabilities and recommend practical adoption opportunities aligned with FAB's AI strategy. Stay abreast of state-of-the-art developments in generative AI and agentic architectures.
 </li>
 </ul>
 
 
 
 
 
 TECHNICAL SKILLS: minimum 3-4 yrs of working experience mandatory
 
 
 
 
 Azure AI Services:
 
 Demonstrated working experience with Microsoft Azure AI Services including Azure OpenAI, Azure Machine Learning, Azure Cognitive Services, Azure AI Search, Azure Functions, and Azure Databricks.
 
 
 
 Python Programming:
 
 Strong proficiency in Python programming, including experience with REST APIs, SDKs, asynchronous processing, data manipulation, backend development, and AI application frameworks (LangChain, LlamaIndex, Semantic Kernel, LangGraph, FastAPI).
 
 
 
 LLM &amp; Generative AI:
 
 Deep understanding of machine learning, statistical modeling, NLP, generative AI principles, LLM application development, prompt engineering, RAG architecture, embeddings, vector databases, semantic search, and model evaluation techniques.
 
 
 
 ML Libraries &amp; Frameworks:
 
 Advanced proficiency in ML libraries such as PyTorch, TensorFlow, Hugging Face Transformers, scikit-learn, and NLP libraries (spaCy, NLTK).
 
 
 
 Vector Databases:
 
 Experience with vector databases including FAISS, Azure AI Search, ChromaDB, and Pinecone.
 
 
 
 DevOps/MLOps:
 
 Hands-on experience with DevOps/MLOps practices and tools such as Git, Docker, Kubernetes, CI/CD pipelines, MLflow, Terraform, Azure Monitor, and Application Insights.
 
 
 
 Cloud Security &amp; Integration:
 
 Understanding of cloud security, identity and access management, data privacy, encryption, logging, monitoring, and secure API integration patterns.
 
 
 
 AI Ethics &amp; Governance:
 
 Awareness of ethical considerations and responsible AI practices, including fairness, accountability, transparency, bias detection, hallucination mitigation, and compliance in AI systems.
 
 
 
 
 
 
 KNOWLEDGE, SKILLS, &amp; EXPERIENCE
 
 
 
 
 
 Minimum Qualifications:
 
 
 
 
 Bachelor's degree in Computer Science, Engineering, Artificial Intelligence, Data Science, Mathematics, Statistics, or related field; Master's degree is preferred. Microsoft Certified: Azure AI Engineer Associate (AI-102) certification is highly preferred.
 
 
 
 
 Minimum Experience:
 
 
 
 
 3+ years of hands-on experience in designing, developing, and deploying AI/ML or Generative AI solutions in production environments.
 
 
 Mandatory hands-on experience with Microsoft Azure AI Services.
 
 
 Experience working with large-scale datasets and real-time enterprise data.
 
 
 Experience in financial services, banking, risk, compliance, customer service, or regulated enterprise environments is an advantage.
 
 
 
 
 Knowledge and Skills:
 
 
 
 
 
 Business Understanding:
 
 
 
 Strong understanding of business processes and the ability to identify opportunities for AI-driven optimization and automation across banking domains.
 
 
 
 Analytical &amp; Problem-Solving:
 
 
 
 Excellent analytical, problem-solving, debugging, and performance optimization skills with the ability to troubleshoot AI applications in production and translate complex business problems into AI solutions.
 
 
 
 Communication Skills:
 
 
 
 Strong verbal and written communication skills, capable of explaining complex AI concepts to both technical and non-technical stakeholders.
 
 
 
 Collaboration:
 
 
 
 Proven ability to work effectively in cross-functional teams, collaborating with data scientists, platform engineers, DevOps engineers, business analysts, and product teams.
 
 
 
 Responsible AI Mindset:
 
 
 
 Understanding of AI governance, model risk, data privacy, security, and compliance requirements in a regulated banking environment.
 
 
 
 Production Engineering:
 
 
 
 Ability to build, deploy, monitor, and optimize production-grade AI systems with attention to reliability, scalability, cost, and operational excellence.
 
 
 
 Adaptability &amp; Learning:
 
 
 
 Willingness to stay updated on the latest AI technologies, agentic frameworks, and cloud services, and the ability to apply them to solve evolving business challenges.
 
 
 Thank you for your interest in applying for this position with TCS. We will review your application and will get back to you if we are considering your interest in this opportunity.
 
 
 
 
 
 
 Application Deadline: 30- July -2026
 
 
 
 
 
 
 
 Privacy Note:
 
 
 
 https://www.tcs.com/connect-with-tcs/privacy-policy
 
</div>

AI Engineer

TALENTMATE

<div>
 
 Job Description
 
 
 
 
 About Revolut
 
 
 
 People deserve more from their money. More visibility, more control, and more freedom. Since 2015, Revolut has been on a mission to deliver just that. Our powerhouse of products &mdash; including spending, saving, investing, exchanging, travelling, and more &mdash; help our 75+ million customers get more from their money every day.
 
 
 As we continue our lightning-fast growth,&zwnj; 2 things are essential to our success: our people and our culture. In recognition of our outstanding employee experience, we've been certified as a Great Place to Work&trade;. So far, we have 13,000+ people working around the world, from our offices and remotely, to help us achieve our mission. And we're looking for more brilliant people. People who love building great products, redefining success, and turning the complexity of a chaotic world into the simplicity of a beautiful solution.
 
 
 
 About The Role
 
 
 
 The Product team shapes the experiences that power Revolut. They turn complex problems into simple, scalable solutions &mdash; collaborating across Design, Engineering, and Data to build features our customers love.
 
 
 We&rsquo;re looking for a Lead Applied AI Engineer who can manage their product roadmap, including day-to-day operations, project execution, and risk assessment.
 
 
 From conception to launch and beyond, you&rsquo;ll collaborate cross-functionally and communicate with senior management to be the go-to person for your product.
 
 
 Up to shape what's next in finance? Let's get in touch.
 
 
 
 What You'll Be Doing
 
 
 
 <ul>
 <li>
 Owning the product vision, strategy, and roadmap for AI-powered solutions, leveraging LLMs and other machine learning technologies
 </li>
 <li>
 Collaborating closely with Data Scientists and Software Engineers to deliver impactful solutions
 </li>
 <li>
 Leading cross-functional teams to build and deploy NLP and AI solutions, such as AI assistants and AI automation platforms
 </li>
 <li>
 Setting your team's goals, success metrics, and roadmap to align with company goals
 </li>
 <li>
 Delivering measurable results for sophisticated products under ambiguous situations in a fast-paced environment
 
 
 </li>
 </ul>
 
 What You'll Need
 
 
 
 <ul>
 <li>
 Experience developing and launching AI products/features from scratch
 </li>
 <li>
 High analytical and technical acumen, along with solid business sense and problem-solving skills
 </li>
 <li>
 Experience in a data science or machine learning role
 </li>
 <li>
 Experience owning machine learning projects, from design to implementation and iteration
 </li>
 <li>
 Great Python, SQL, or other programming language skills
 </li>
 <li>
 Hands-on experience with deep learning libs (TensorFlow, Keras, PyTorch, etc.)
 </li>
 <li>
 Knowledge of version control, model deployment, and developer environments
 </li>
 <li>
 Evidence of impressive mathematical and statistical knowledge
 </li>
 <li>
 An entrepreneurial drive to never settle
 
 
 </li>
 </ul>
 Building a global financial super app isn&rsquo;t enough. Our Revoluters are a priority, and that&rsquo;s why in 2021 we launched our inaugural D&amp;I Framework, designed to help us thrive and grow everyday. We're not just doing this because it's the right thing to do. We&rsquo;re doing it because we know that seeking out diverse talent and creating an inclusive workplace is the way to create exceptional, innovative products and services for our customers. That&rsquo;s why we encourage applications from people with diverse backgrounds and experiences to join this multicultural, hard-working team.
 
 
 
 Important Notice For Candidates
 
 
 
 Job scams are on the rise. Please keep these guidelines in mind when applying for any open roles.
 
 
 <ul>
 <li>
 Only apply through official Revolut channels. We don&rsquo;t use any third-party services or platforms for our recruitment.
 </li>
 <li>
 Always double-check the emails you receive. Make sure all communications are being done through official Revolut emails, with an @revolut.com domain.
 
 
 </li>
 </ul>
 
 We won't ask for payment or personal financial information during the hiring process.
 
 If anyone does ask you for this, it&rsquo;s a scam. Report it immediately.
 
 
 By submitting this application, I confirm that all the information given by me in this application for employment and any additional documents attached hereto are true to the best of my knowledge and that I have not wilfully suppressed any material fact. I confirm I have disclosed if applicable any previous employment with Revolut. I accept that if any of the information given by me in this application is in any way false or incorrect, my application may be rejected, any offer of employment may be withdrawn or my employment with Revolut may be terminated summarily or I may be dismissed. By submitting this application, I agree that my personal data will be processed in accordance with Revolut's Candidate Privacy Notice
 
 
 Job Details
 
 
 Role Level: Not Applicable Work Type: Full-Time Country: United Arab Emirates City: Dubai Company Website: https://www.revolut.com Job Function: Engineering Company Industry/
 
 
 Sector: Other
 
 
 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.
 
 
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 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>

Applied AI Engineer

Explore 259+ Machine learning engineer in Dubai this July. Find roles across top companies and apply now to boost your career.

259 machine learning engineer jobs In Dubai

Sr. Machine learning engineer.

Machine Learning Engineer / Data Scientist (Mid-Level)

AI/ML Engineer

Data Scientist (Arabic Speaker)

Data Scientist (Arabic Speaker)

AI Engineer

Applied AI Engineer