data scientist

ai and robotics trainer

ai ml engineer

lead data scientist

machine learning developer

machine learning

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

oryxsearch.io

<div>
 
 
 Role: Senior/Lead- AI/ML Scientist &ndash; Personalization &amp; GenAI (Dubai based)
 
 
 
 
 
 
 Join a high-performing Data Science team whose mission is to drive competitive value through scalable AI solutions. The team builds models that enhance user experiences, enable better decision-making, improve operational efficiency, and shape the regional AI ecosystem. As a senior technical leader, you&rsquo;ll help define the future of personalization and user engagement using Generative AI and advanced machine learning.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Lead end-to-end AI transformation focused on personalization in a consumer-facing application.
 </li>
 <li>
 Define and execute a long-term vision for customer acquisition and engagement strategies powered by data and AI.
 </li>
 <li>
 Conduct exploratory analysis to understand user behavior, discover optimization opportunities, and develop behavior models to inform product enhancements.
 </li>
 <li>
 Design and deploy data/ML instrumentation to extract insights and optimize the product experience.
 </li>
 <li>
 Provide strategic product guidance through data-driven recommendations, experimentation insights, and root cause analyses.
 </li>
 <li>
 Build and scale machine learning algorithms and pipelines to production using big data technologies.
 </li>
 <li>
 Develop and deploy retrieval-augmented generation (RAG) systems and LLM-based applications.
 </li>
 <li>
 Design and evaluate A/B tests and communicate results across cross-functional teams.
 </li>
 <li>
 Define, implement, and monitor key performance metrics for AI-driven product features.
 </li>
 <li>
 Stay up to date with industry advancements in data processing and AI/ML, and introduce best practices into the organization.
 </li>
 </ul>
 
 
 
 
 
 Requirements
 
 
 <ul>
 <li>
 7+ years of experience in data science, machine learning, and AI development across structured and unstructured data.
 </li>
 <li>
 Advanced degree (Master&rsquo;s or PhD) in Computer Science, Engineering, Mathematics, Statistics, or a related field (preferred)
 </li>
 <li>
 Deep experience in personalization, search, or recommendation systems (3&ndash;4 years in a product-focused environment).
 </li>
 <li>
 Expertise in deep learning architectures (e.g., attention models, transformers, retrieval models).
 </li>
 <li>
 Hands-on experience with LLMs and GenAI technologies.
 </li>
 <li>
 Strong programming and problem-solving skills with proficiency in Python, SQL, Spark, and Hive.
 </li>
 <li>
 Deep understanding of classical and modern ML techniques, A/B testing methodologies, and experiment design.
 </li>
 <li>
 Solid background in ranking, recommendation, and retrieval systems.
 </li>
 <li>
 Familiarity with large-scale data tools (Hadoop, BigQuery, Amazon EMR, etc.).
 </li>
 <li>
 Experience with BI tools and visualization platforms such as Tableau, Qlik, or MicroStrategy.
 </li>
 <li>
 Bonus: Experience with geospatial data and advanced analytics platforms.
 </li>
 </ul>
 
 
</div>

Senior / Lead AI Scientist (Personalisation & GenAI)

Google

<div>
 Applicants to this role must have work authorization in Saudi Arabia as this role is not eligible for work visa sponsorship.
 
 
 Note: By applying to this position you will have an opportunity to share your preferred working location from the following:
 
 Dubai - United Arab Emirates; Doha, Qatar; Tel Aviv, Israel; Riyadh Saudi Arabia
 
 .
 
 Minimum qualifications:
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, a related field, or equivalent practical experience.
 </li>
 <li>
 5 years of experience as a technical Solution Architect in a cloud computing environment or a customer-facing role.
 </li>
 <li>
 Experience with Large Language Models (LLMs), Open Source, Big Data, Machine Learning, and numerical programming frameworks.
 </li>
 <li>
 Experience with AI products, technologies, and infrastructure.
 </li>
 <li>
 Ability to communicate in Arabic and English fluently, to support client relationship management in this region.
 
 
 </li>
 </ul>
 
 Preferred qualifications:
 
 
 
 <ul>
 <li>
 Master's degree in Computer Science or a related technical field.
 </li>
 <li>
 Experience with building AI and machine learning solutions, Machine Learning Operation frameworks like Kubeflow, and leveraging specific machine learning architectures (e.g., deep learning, LSTM, etc.).
 </li>
 <li>
 Experience in architecting and developing software or infrastructure for scalable, distributed systems and with machine learning technologies.
 </li>
 <li>
 Experience in building scalable software architectures that use agentic or GenAI driven capabilities.
 </li>
 <li>
 Understanding of AI Models, Large Language Models, and AI specialized infrastructure especially as it relates to AI trends and issues within businesses.
 </li>
 <li>
 Understanding of responsible AI practice.
 
 
 </li>
 </ul>
 
 About The Job
 
 
 
 The Google Cloud Platform Generative AI Black Belt team helps customers unlock their potential with AI. As part of an entrepreneurial team in this rapidly growing business, you will help shape the future of businesses of all sizes using Artificial Intelligence (AI) and Machine Learning (ML).
 
 
 As a Generative Artificial Intelligence (AI) Specialist, you will work with Product Development and Technical Business teams as an Generative AI subject matter expert to bring Google Cloud AI products to customers and partners.
 
 
 In this role, you will help prospective customers and partners understand the power of Google AI, explaining technical features, helping customers design architectures, build AI powered applications, and problem-solving any potential roadblocks. You will also have the opportunity to help customers leverage Google Cloud&rsquo;s Generative AI services, including Large Language Models and specialized Machine Learning (ML) hardware developed by Google, called Tensor Processing Unit.
 
 
 Google Cloud accelerates every organization&rsquo;s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google&rsquo;s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Work with the team to identify and qualify business opportunities, understand key customer technical objections, and develop the strategy to resolve technical blockers.
 </li>
 <li>
 Provide Artificial Intelligence (AI) expertise to support the technical relationship with Google&rsquo;s customers, manage product and solution briefings, create demos, proof-of-concept work, and partner directly with product management to prioritize solutions impacting customer adoption to Google Cloud.
 </li>
 <li>
 Recommend integration strategies, enterprise architectures, platforms, and application infrastructure required to implement a complete solution Google Cloud.
 </li>
 <li>
 Support developers, creators, and enterprises to leverage Google&rsquo;s Generative Language APIs so they can build their own AI products in the future.
 </li>
 <li>
 Travel to customer sites, conferences, and other related events as needed.
 
 
 
 </li>
 </ul>
 Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
</div>

Generative AI Specialist, Blackbelt, Google Cloud (Arabic, English)

Dubai Integrated Economic Zones Authority

<div>
 
 The purpose of this role is to works on new ways of capturing and analysing data to be used by the analysts; research and devise innovative statistical models for data analysis. Along with developing models, using machine learning, or incorporating advanced programming to find and analyse data.
 
 
 
 
 
 
 Tasks &amp; Responsibilities
 
 
 
 &bull; Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
 
 
 &bull; Use predictive modelling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
 
 
 &bull; Participate in exciting projects covering the end-to-end Data Science lifecycle &ndash; from raw data cleaning and exploration with primary and third-party systems, through advanced state-of-the-art data visualization and Machine learning development.
 
 
 &bull; Strong expertise in developing explainable ML algorithms (e.g., regression, classification, clustering) and staying current with AI trends and advancements.
 
 
 &bull; End-to-end project ownership: From translating business needs into technical solutions, to building data/ML pipelines, deploying models, and implementing MLOps.
 
 
 &bull; Partner with stakeholders to ensure solutions meet requirements and translate technical values in business terminology.
 
 
 &bull; Skilled in building data stories from insights and using data mining techniques to generate insights.
 
 
 &bull; Review and validate models developed by team members and external party before production release.
 
 
 &bull; Develop company A/B testing framework and test model quality.
 
 
 &bull; Experience with cloud and big data architecture.
 
 
 &bull; Perform data exploration to find patterns in the data and understand the state and quality of the data available.
 
 
 &bull; Utilize Python code for analysing data and building statistical models to solve specific business problems.
 
 
 &bull; Evaluate ML models and fine tune model parameters considering the business problem behind.
 
 
 &bull; Deploy ML models into production that work as standalone data services.
 
 
 &bull; Build customer-facing reporting tools to provide insights and metrics which track system performance.
 
 
 &bull; Stay up to date about developments in Data Science and relevant fields to ensure that outputs are always relevant.
 
 
 
 
 
 
 
 <ul>
 <li>
 3+ years&rsquo; experience in implemented machine learning algorithms and Deep learning algorithms
 </li>
 <li>
 Excellent in statistical modeling, predictive modelling and inferential statics
 </li>
 <li>
 Sound knowledge of Python&rsquo;s ML stack
 </li>
 <li>
 Arabic language desired (working knowledge)
 </li>
 <li>
 English required (advanced)
 </li>
 <li>
 Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc)
 </li>
 <li>
 Knowledge of programming languages like SQL, Oracle, R, MATLAB, and Python
 </li>
 <li>
 Planning, organizing, and analytical skills
 </li>
 </ul>
 
 
</div>

Junior - Data Scientist

Amazon Web Services (AWS)

<div>
 
 Description
 
 
 
 Are you a MS or PhD student interested in a 2025 Internship in Data Science? If so, we want to hear from you!
 
 
 We are looking for a customer obsessed Data Scientist Intern who can innovate in a business environment, building and deploying machine learning models to drive step-change innovation and scale it to the EU/worldwide.
 
 
 If this describes you, come and join our Data Science teams at Amazon for an exciting internship opportunity. If you are insatiably curious and always want to learn more, then you&rsquo;ve come to the right place.
 
 
 You can find more information about the Amazon Science community as well as our interview process via the links below;
 
 
 https://www.amazon.science/
 
 
 https://amazon.jobs/content/en/career-programs/university/science
 
 
 Emirati nationality is required.
 
 
 Key job responsibilities
 
 
 As a Data Science Intern, you will have following key job responsibilities:
 
 
 <ul>
 <li>
 Work closely with scientists and engineers to architect and develop new algorithms to implement scientific solutions for Amazon problems.
 </li>
 <li>
 Work on an interdisciplinary team on customer-obsessed research
 </li>
 <li>
 Experience Amazon's customer-focused culture
 </li>
 <li>
 Create and Deliver Machine Learning projects that can be quickly applied starting locally and scaled to EU/worldwide
 </li>
 <li>
 Build and deploy Machine Learning models using large data-sets and cloud technology.
 </li>
 <li>
 Create and share with audiences of varying levels technical papers and presentations
 </li>
 <li>
 Define metrics and design algorithms to estimate customer satisfaction and engagement
 
 
 </li>
 </ul>
 A day in the life
 
 
 At Amazon, you will grow into the high impact, visionary person you know you&rsquo;re ready to be. Every day will be filled with developing new skills and achieving personal growth.
 
 
 How often can you say that your work changes the world? At Amazon, you&rsquo;ll say it often. Join us and define tomorrow.
 
 
 Some more benefits of an Amazon Science internship include;
 
 
 <ul>
 <li>
 All of our internships offer a competitive stipend/salary
 </li>
 <li>
 Interns are paired with an experienced manager and mentor(s)
 </li>
 <li>
 Interns receive invitations to different events such as intern program initiatives or site events
 </li>
 <li>
 Interns can build their professional and personal network with other Amazon Scientists
 </li>
 <li>
 Interns can potentially publish work at top tier conferences each year
 
 
 </li>
 </ul>
 
 About The Team
 
 
 
 Applicants will be reviewed on a rolling basis and are assigned to teams aligned with their research interests and experience prior to interviews. Start dates are available throughout the year and durations can vary in length from 3-6 months for full time internships.
 
 
 This role may available across multiple locations in the EMEA region.
 
 
 Please note these are not remote internships.
 
 
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 Are enrolled in a Master's degree in computer science, machine learning, engineering, or related fields
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with data scripting languages (e.g., SQL, Python, R, or equivalent) or statistical/mathematical software (e.g., R, SAS, Matlab, or equivalent)
 </li>
 <li>
 Experience with big data: processing, filtering, and presenting large quantities (100K to Millions of rows) of data
 
 
 </li>
 </ul>
 Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.
 
 
 
 
 Company
 
 - Amazon Web Services EMEA Dubai FZ Branch - Q29
 
 
 Job ID: A2820108
</div>

2025 Data Scientist internship- UAE National, Amazon University Talent Acquisition

ICB LABS FZCO

ICB Labs is a dynamic blockchain ecosystem integrating NFTs, DeFi, and metaverse technologies to revolutionize how businesses and individuals interact with the digital world.ICB Labs is more than just a blockchain company it is a visionary hub where traditional industries seamlessly connect with Web3 technologies. We believe in the power of decentralization to foster innovation, transparency, and financial inclusivity. Our ecosystem is designed to empower users with accessible, efficient, and future-ready blockchain solutions.Key Responsibilities<ul><li>Develop, train, and fine-tune machine learning models for various use cases (e.g., NLP, computer vision, recommendation</li></ul>systems, etc.)<ul><li>Analyze large datasets to extract insights and prepare data for model training</li><li>Research and implement state-of-the-art algorithms in AI and deep learning</li><li>Build scalable and efficient model pipelines for production use</li><li>Monitor, test, and improve model performance and accuracy over time</li><li>Collaborate with data engineers and software developers to deploy models into production environments</li><li>Document processes, models, and decisions for technical transparency and reproducibility.</li></ul><ul><li>Strong programming skills in Python and experience with ML libraries such as TensorFlow, PyTorch, Scikit-learn, or Hugging Face</li></ul><ul><li>Hands-on experience in training models using supervised, unsupervised, or reinforcement learning</li></ul><ul><li>Solid understanding of machine learning fundamentals: feature engineering, model evaluation, overfitting, cross-validation</li></ul><ul><li>Experience with data preprocessing, cleaning, and transformation</li></ul><ul><li>Familiarity with version control tools (e.g., Git) and experiment tracking tools (e.g., MLflow, Weights &amp; Biases)</li></ul><ul><li>Ability to write clean, scalable, and efficient code</li></ul><ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, or related field.</li></ul>Preferred Skills<ul><li>Experience with cloud platforms (AWS, GCP, Azure) for AI/ML model deployment</li></ul><ul><li>Knowledge of MLOps tools and practices (Docker, Kubernetes, CI/CD pipelines)</li></ul><ul><li>Experience working with unstructured data (text, image, audio)</li></ul><ul><li>Understanding of large language models (LLMs), transformers, or generative AI systems</li></ul><ul><li>Contribution to open-source ML projects or published research in AI conferences (nice to have)</li></ul>Job Type: Full-timePay: AED8,000.00 - AED15,000.00 per month

AI Engineer

Virtusa

<div>Technical skills are as below:
Core Python: Should be proficient in the basic concepts and features of the Python language, such as data types, variables, operators, control structures, functions, classes, modules, exceptions, file handling, etc. You should also be familiar with the built-in data structures and methods, such as lists, tuples, dictionaries, sets, strings, etc
Web Frameworks: Should have a sound knowledge of one or more web frameworks that are based on Python, such as P, Flask, Pyramid, etc. These frameworks provide tools and libraries to help you create web applications using Python. You should know how to use the framework's features, such as routing, templating, database integration, authentication, testing, etc
Object Relational Mappers (ORMs): Should be able to use ORMs to interact with databases using Python objects. ORMs abstract away the low-level SQL queries and provide a high-level interface to manipulate data. Some popular ORMs for Python are SQLAlchemy, Django ORM, Peewee, etc. You should know how to define models, perform CRUD operations, query data, handle transactions, etc
Data Science and Machine Learning: Should have some skills in data science and machine learning, as these are some of the most common use cases for Python. You should be able to use libraries and frameworks such as NumPy, Pandas, SciPy, Scikit-learn, TensorFlow, PyTorch, etc. to perform data analysis, manipulation, visualization, and modeling. You should also have a good understanding of the basic concepts and algorithms of statistics, machine learning, and deep learning
Other Skills: Should also have some general skills that are useful for any developer, such as:
Debugging and testing: Should be able to use tools and techniques to find and fix errors in your code, such as logging, breakpoints, unit testing, integration testing, etc
Version control: Should be able to use version control systems, such as Git, to manage your code and collaborate with other developers. You should know how to create branches, commit changes, merge conflicts, push and pull requests, etc
Communication and teamwork: Should be able to communicate effectively with your clients, stakeholders, and colleagues, and work well in a team. You should be able to write clear and concise documentation, follow coding standards and best practices, give and receive feedback, etc
<div>About Virtusa

Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 27,000 people globally that cares about your growth &mdash; one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us.

Great minds, great potential: it all comes together at Virtusa. We value collaboration and the team environment of our company, and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence.

Virtusa was founded on principles of equal opportunity for all, and so does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.</div></div>

Python Developer

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