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Swan Global WLL

Hiring Machine Learning Engineer/Sr. Data ScientistContract type:- Long termSalary:- TBDDuty hrs:- 8 hrs/ 5 daysSkills - Required:&#9679; Knowledge of statistical modelling and popular machine learning models.&#9679; Good analytical skills, with expertise in analytical tool-kits such as Logistic Regression, Cluster Analysis, Factor Analysis, Multivariate Regression, Statistical modelling, predictive analysis.&#9679; Hands-on with Python/R programming and knowledge of machine learning tools like Scikit-Learn, Pandas, TensorFlow, Pytorch, Keras, OpenCV, XGBoost etc.&#9679; Computer Vision: Image preprocessing, image matching/comparison using SIFT/SURF/ORB, Object detection (Faster RCNN, YOLO, SSD, etc.), Image similarity (Siamese network), Image classification.&#9679; NLP: Vector Space modeling in NLP, LSTMS, Sequence modeling, Attention modeling, BERT, Transformers. Using the above-mentioned techniques performing Document classification, Semantic similarity, NER, Sentiment Analysis&#9679; Time Series Analysis using ARIMA, SARIMA, LSTMs, etc.&#9679; Feature engineering, Feature selection/Feature importance, Dimensionality&#9679; Reduction (PCA, etc.), Hyperparameter tuning, Ensembling techniques like Bagging, Boosting, StackingShould possess knowledge of multiple cloud platforms (GCP-Preferable, Azure or AWS) and machine learning services offered by them.&#9679; Critical eye for the quality of data and strong desire to get it right.&#9679; A pleasantly forceful personality and charismatic communication style.Experience in building end to end machine learning pipelines, deployment using any ML Ops Framework (Kube Flow Pipelines, Vertex AI), model performance monitoring, CI/CD.&#9679; Experience in GCP based ML solutions and services like Contact Center AI, Vertex AI, Document AI, Speech-to-Text, Text-to-Speech, Natural Language, Dialog Flow, AutoML, Vision, Video Intelligence, Base OCR, Form Parser, Invoice Parser, etc.Job Type: Contract Contract length: 6 monthsApplication Question(s):<ul><li>Are you under freelance visa?</li></ul>Language:<ul><li>Arabic (Required)</li></ul>

Machine Learning Engineer/ Sr. Data Scientist

Protiviti Middle East Member Firm

<div>
 
 Job Description: Data Scientist - Advanced Analytics &amp; Network Insights
 
 
 Position Requirements:
 
 <ul>
 <li>
 Strong expertise in analytics solutions, including data collection, preprocessing, model development, and deployment.
 </li>
 <li>
 Proficient in machine learning techniques and algorithms (e.g., Naive Bayes, SVM, Decision Forests, Bagging &amp; Boosting Models).
 </li>
 <li>
 Strong understanding of feature scaling, dimensionality reduction, and data compression techniques.
 </li>
 <li>
 Expertise in Python, PySpark, R, and libraries such as Scikit-learn, NumPy, TensorFlow.
 </li>
 <li>
 5+ years of experience in deploying scalable machine learning systems, with 4+ years in NLP or text analytics development.
 </li>
 <li>
 Proficient in SQL, Hadoop, Spark, and data storage frameworks.
 </li>
 <li>
 Skilled in designing and deploying auto big data pipelines for production environments.
 </li>
 <li>
 Experienced in developing ETL (Extract, Transform, Load) workflows for seamless data integration.
 </li>
 <li>
 Expertise in building interactive dashboards and reports using Tableau and other visualization tools.
 </li>
 <li>
 Experience with agile methodologies, data-driven development, and reliable experimentation.
 </li>
 <li>
 Knowledge of machine learning publications or contributions to open-source projects is a plus.
 </li>
 </ul>
 
 
 
 Role &amp; Responsibilities:
 
 <ul>
 <li>
 Lead the development and optimization of machine learning models, including recommendation and personalization systems.
 </li>
 <li>
 Develop end-to-end analytics solutions, from data preprocessing to machine learning model deployment.
 </li>
 <li>
 Build and optimize big data pipelines, ensuring scalability and efficiency in production environments.
 </li>
 <li>
 Conduct data mining and implement advanced classifiers to enhance customer experiences and business performance.
 </li>
 <li>
 Process and analyze large datasets using big data tools like Spark and Hive.
 </li>
 <li>
 Process, cleanse, and validate data for analysis, ensuring accuracy and integrity.
 </li>
 <li>
 Extend existing data with third-party sources as needed for enriched analysis.
 </li>
 <li>
 Perform ad-hoc analyses and present actionable insights clearly to stakeholders.
 </li>
 <li>
 Collaborate with cross-functional teams to deliver tailored solutions aligned with business objectives.
 </li>
 </ul>
</div>

Data Scientist

Scale AI

<div>
 Scale&rsquo;s rapidly growing International Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of:
 
 
 <ul>
 <li>
 Creating custom AI applications that will impact millions of citizens
 </li>
 <li>
 Generating high-quality training data for national LLMs
 </li>
 <li>
 Upskilling and advisory services to spread the impact of AI
 
 
 </li>
 </ul>
 We are hiring a Machine Learning Engineer Manager who will manage a team of high-calibre MLEs who design, train, deploy, and evaluate computer vision and/or LLMs to power custom applications we build for our public sector clients. You will guide your team towards using data-driven experiments to provide key insights around model strengths and inefficiencies in an effort to improve products.
 
 
 At Scale, we&rsquo;re not just building AI solutions&mdash;we&rsquo;re enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you&rsquo;re ready to shape the future of AI in the public sector and be a founding member of our team, we&rsquo;d love to hear from you.
 
 
 You will:
 
 
 <ul>
 <li>
 Train state of the art models, developed both internally and from the community, in production to solve problems for our enterprise customers.
 </li>
 <li>
 Manage a team of ML Engineers
 </li>
 <li>
 Work with product and research teams to identify opportunities for ongoing and upcoming services.
 </li>
 <li>
 Explore approaches that integrate human feedback and assisted evaluation into existing product lines.
 </li>
 <li>
 Create state of the art techniques to integrate tool-calling into production-serving LLMs.
 </li>
 <li>
 Work closely with customers - some of the most sophisticated ML organizations in the world - to quickly prototype and build new deep learning models targeted at multi-modal content understanding problems.
 
 
 </li>
 </ul>
 Ideally you&rsquo;d have:
 
 
 <ul>
 <li>
 At least 5 years of model training, deployment and maintenance experience in a production environment
 </li>
 <li>
 At least 5+ years of management or tech leadership experience
 </li>
 <li>
 Strong skills in NLP, LLMs and deep learning
 </li>
 <li>
 Solid background in algorithms, data structures, and object-oriented programming
 </li>
 <li>
 Experience working with a cloud technology stack (eg. AWS, GCP, or Azure) and developing machine learning models in a cloud environment
 </li>
 <li>
 Experience building products with LLMs including knowing the ins and outs of evaluation, experimentation, and designing solutions to get the most of the models
 </li>
 <li>
 Strong written and verbal communication skills to operate in a cross functional team environment
 
 
 </li>
 </ul>
 Nice to haves:
 
 
 <ul>
 <li>
 Experience in dealing with large scale AI problems, ideally in the generative-AI field
 </li>
 <li>
 Demonstrated expertise in large vision-language models for diverse real-world applications, e.g. classification, detection, question-answering, etc.
 </li>
 <li>
 Published research in areas of machine learning at major conferences (NeurIPS, ICML, EMNLP, CVPR, etc.) and/or journals
 </li>
 <li>
 Strong high-level programming skills (e.g., Python), frameworks and tools such as DeepSpeed, Pytorch lightning, kubeflow, TensorFlow, etc.
 </li>
 <li>
 Fluent in Arabic
 
 
 </li>
 </ul>
 
 
 PLEASE NOTE:
 
 
 
 Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
 
 
 
 
 About Us:
 
 
 
 
 At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how organizations build and deploy AI. Our products power the world's most advanced LLMs, generative models, and computer vision models. We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.S. Army and U.S. Air Force, and enterprises including GM and Accenture. We are expanding our team to accelerate the development of AI applications.
 
 
 
 
 We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
 
 
 
 
 We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's
 
 
 Know Your Rights poster
 
 
 for additional information.
 
 
 
 
 We comply with the United States Department of Labor's
 
 
 Pay Transparency provision
 
 
 .
 
 
 
 
 
 PLEASE NOTE:
 
 We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants&rsquo; needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
 
</div>

Machine Learning Engineering Manager, International Public Sector

HJH Holding

Urgent Requirement: Data Scientist/AnalystRequirementsExperience: 4+ years in data science, analytics, or machine learning roles within fintech, banking, payments, or e-commerce. Experience in BNPL or consumer lending is a strong plus.Start-Up Mindset: Comfortable operating in a fast-paced, evolving environment with shifting priorities and the need for rapid experimentation.Skills:&middot; Proficiency in Python, R, or similar programming languages for data analysis and modeling.&middot; Strong SQL skills and experience with data warehousing (e.g., BigQuery, Snowflake, Redshift).Expertise in machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch).&middot; Experience with BI tools (e.g., Power BI, Tableau, Looker) for visualization.Strong understanding of statistical analysis, experimental design, and hypothesis testing.&middot; Ability to clearly communicate complex analyses to non-technical stakeholders.Industry&middot; Knowledge: Understanding of GCC fintech regulations, QCB compliance requirements, and BNPL-specific risk modeling considerations.Tech-Savvy:&middot; Understanding of databases, debugging tools, and software development processes.Communication: Excellent written and verbal communication skills in English (Arabic is a plus).Education: Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Statistics, Computer Science, or a related quantitative field.If you are interested, please share your updated CV at hr@paylaterapp.com or WhatsApp no: 60003723Job Type: Full-timePay: Up to QAR6,000.00 per month

Data Scientist/Analyst

Anotech

<div>
 
 Accountabilities:
 
 <ul>
 <li>
 To participate in the development of data science strategy and tactics to support the company&rsquo;s strategic objectives to become a data driven company.
 </li>
 <li>
 To promote data science &amp; analytics to increase business insights to resolve business problems or support decisions making processes.
 </li>
 <li>
 Develop innovative PoCs and end-to-end data analytics solutions with high value adding in terms of business impact.
 </li>
 <li>
 Contribute and propose ways to maximize the value of geosciences, operations, HSE, CPD and MP, etc. data.
 </li>
 <li>
 To manage relationships with internal and external vendors for data science.
 </li>
 </ul>
 
 
 
 
 Education:
 
 <ul>
 <li>
 Master&rsquo;s degree in a relevant field such as Data Science, Computer Science, Statistics, Mathematics, or Engineering.
 </li>
 </ul>
 
 
 
 
 Experience:
 
 <ul>
 <li>
 Minimum 6 years of experience in Data Science: Proven track record of developing and implementing machine learning models, advanced analytics solutions, and data-driven decision-making strategies
 </li>
 <li>
 Industry Expertise: Experience working in the oil and gas industry, with a strong understanding of its challenges, processes, and data types (e.g., seismic data, production data, reservoir data).
 </li>
 <li>
 GenAI Expertise: Hands-on experience with Generative AI technologies, including building PoCs/ solutions using large language models or other generative frameworks.
 </li>
 </ul>
 
 
 
 
 Technical &amp; Soft Skills:
 
 <ul>
 <li>
 Programming Languages: Proficiency in Python is required. Additional experience in Spark is a plus.
 </li>
 <li>
 Data Manipulation Tools: Good experience with SQL, Pandas, and other data processing tools.
 </li>
 <li>
 Machine Learning Frameworks: Experience with TensorFlow, PyTorch, Scikit-learn, or similar libraries.
 </li>
 <li>
 Cloud Platforms: Hands-on experience with cloud services such as Microsoft Azure including their AI and data services is a plus.
 </li>
 <li>
 Visualization Tools: Proficiency in Power BI, or similar visualization platforms.
 </li>
 <li>
 Big Data Technologies: Familiarity with Hadoop, Spark, or Databricks is an advantage.
 </li>
 <li>
 Statistical Analysis: Strong foundation in statistical modeling, hypothesis testing, and predictive analytics.
 </li>
 <li>
 Problem-Solving: Proven ability to translate complex business problems into actionable data science solutions.
 </li>
 <li>
 Collaboration: Strong track record of cross-functional collaboration, effectively communicating technical concepts, from foundational principles to advanced methodologies to diverse stakeholder audiences.
 </li>
 <li>
 Strong stakeholder management: Setting clear expectations, fostering trust through transparent communication, and applying empathy to build lasting, collaborative relationships.
 </li>
 </ul>
 
 
 
 
 Language proficiency:
 
 <ul>
 <li>
 Demonstrates mastery of the English language across spoken, written, and active listening skills, enabling clear, empathetic, and effective communication in diverse professional settings.
 </li>
 </ul>
</div>

Senior Data Scientist

Commercial Bank

<div>
 
 
 
 About Commercial Bank of Qatar:
 
 
 
 
 Commercial Bank, founded in 1975 and headquartered in Doha, plays a vital role in Qatar&rsquo;s economic development by offering a range of personal, business, government, international and investment services. We believe in empowering our employees, providing them with opportunities for growth and professional development.
 
 
 By Joining us, you&rsquo;ll be part of a workplace culture that fosters innovation, supports work-life balance, and encourages you to reach your full potential.
 
 
 
 Join us in shaping the future of banking!
 
 
 
 
 
 
 
 
 
 
 
 Job Summary:
 
 
 
 
 At Commercial Bank, data is a key driver in strategic decision making; the incumbent is required to have a thorough understanding of data analytics, data management principles and have ability to help the bank derive maximum value from the data available. Previous experience with data science and advanced analytical techniques, as well as AI and Machine Learning in a banking context would be a major success factor. The skills needed for the Data Scientist include technical knowledge and problem-solving and focus on delivery. The prospective candidate is expected to help take the bank&rsquo;s data science capabilities to the next level; building on a good foundation but accelerating both the capability development and the exploitation of benefits.
 
 
 
 
 
 
 Key Accountabilities
 
 
 <ul>
 <li>
 Lead the discovery processes with stakeholders to identify business requirements and expected outcomes by modelling complex problems, discovering insights and identifying opportunities through the use of statistical, algorithmic, mining and visualization techniques.
 </li>
 <li>
 Apply data mining techniques, perform statistical analysis, and build high quality prediction systems relevant to the business and its operations,
 </li>
 <li>
 Expected to discover information hidden in the vast amount and variety of big data sources and perform statistical analysis to produce business insights e.g. market trends, customer profile and segments, association analysis, predicted behaviour) that will enable the company to make better business decisions.
 </li>
 <li>
 Lead the utilization of various machine learning-based tools and processes such as regression, clustering principle component analysis and others within the Commercial Department.
 </li>
 <li>
 Model and frame business scenarios that are meaningful and which impact critical business decisions and processes.
 </li>
 <li>
 Identify what data is available and relevant, including internal and external data sources, leveraging new data collection processes such as smart meters and geo location information or social media..
 </li>
 </ul>
 
 
 
 
 Make strategic recommendations on data collection, integration and retention requirements incorporating business requirements and knowledge of best practices.
 
 <ul>
 <li>
 Develop innovative and effective approaches to solve analytical problems and communicates the results and methodologies
 </li>
 <li>
 Validate findings/test hypotheses using an experimental and iterative approach e.g. scenario modelling Identify/create the appropriate algorithm to discover patterns
 </li>
 </ul>
 
 
 
 
 
 
 Qualifications &amp; Experience
 
 
 
 
 
 
 Minimum Qualifications:
 
 
 
 
 Bachelor's Degree or an equivalent professional qualification
 
 
 
 
 
 
 
 Minimum Experience:
 
 
 
 <ul>
 <li>
 Python or R capability
 </li>
 <li>
 Min. 2 years of experience of modelling complex problems, discovering insights and identifying opportunities through the use of statistical, algorithmic, mining and visualization techniques, integrating and preparing large, varied massive datasets, architecting specialized database and computing environments and communicating the results to the business
 </li>
 <li>
 Expertise in reports and analysis of complex customer and/or commercial data.
 </li>
 <li>
 Specialist skills in research methodologies, consumer behavior, and market research activities.
 </li>
 <li>
 Specialist skills with Microsoft Excel.
 </li>
 <li>
 Specialist skills in different analytical and visualization systems and tools such as SSRS, SQL, Power BI, Cognos, etc.
 </li>
 <li>
 Skills in data extraction, transformation and visual analytics.
 </li>
 <li>
 Skills in customer service / customer success / customer experience or engagement
 </li>
 <li>
 Excellent written and spoken English.
 </li>
 </ul>
 
 
 
 
 
 Knowledge, &amp; Other skills:
 
 
 
 &bull;Knowledge of banking products
 
 
 &bull;Excellent written and spoken English
 
 
 
 
 
 
 
 
 
 
 Why Commercial Bank?
 
 
 
 
 
 
 <ul>
 <li>
 
 Best Performing Bank in Qatar
 
 in The Banker&rsquo;s prestigious Top 1000
 
 World Banks Rankings 2025.
 
 </li>
 <li>
 
 Best Digital Bank in the Middle East 2024
 
 by World Finance and Best Mobile Banking App in the Middle East 2024 by Global Finance.
 </li>
 <li>
 An
 
 Innovation-Driven, Digital-First
 
 Environment where employees work with the latest tools and technologies to redefine banking
 </li>
 <li>
 Opportunities for
 
 Global Partnerships &amp; International Exposure
 
 , connecting employees with global networks and perspectives.
 </li>
 <li>
 A focus on Employee
 
 Well-being &amp; Work-Life Balance
 
 , ensuring a healthy and supportive environment for all team members
 </li>
 <li>
 
 Competitive Compensation &amp; Benefits
 
 that ensure our employees are rewarded for their dedication and performance
 </li>
 <li>
 A strong Commitment to
 
 Diversity, Equity &amp; Inclusion
 
 , fostering a culture that values every individual&rsquo;s unique perspective
 </li>
 </ul>
 
 
 
 
 At Commercial Bank, we don&rsquo;t just offer careers, We shape futures by pioneering
 
 digital transformation
 
 in Qatar&rsquo;s banking sector,
 
 blending digital-first
 
 approach to redefine banking through
 
 innovative solutions.
 
 
 
 
 
 
 
 
 
 
 
 
 Disclaimer:
 
 
 
 
 
 We appreciate your interest in joining CBQ! Please note that only selected candidates will be contacted for further steps in the hiring process. This job posting is for informational purposes only, and CBQ reserves the right to modify, withdraw, or close it at any time without notice.
 
 
</div>

DOHA BANK

<div>
 
 
 Role Objective
 
 
 
 
 
 
 The incumbent will support the Business users/departments in defining, developing reports, dashboards, analytics etc. and maintaining the respective Business Intelligence applications/systems, including AI driven applications. The incumbent will perform modification/ enhancement, as applicable, to the new/existing systems through analyzing, coding programming, and testing, in line with the business requirements/specifications and digital architectures, in coordination with the relevant stakeholders. The incumbent will collaborate with the respective stakeholders in design and development of AI solutions, incorporating best practices.
 
 
 
 
 
 
 Detailed Roles and Responsibilities:
 
 
 
 
 
 <ul>
 <li>
 Work closely with the Business Intelligence, Business Units, and other respective stakeholders to analyze, and design new features, as per the business requirements.
 </li>
 <li>
 Stay abreast of the latest developments and new techniques and methodologies in AI and Machine Learning.
 </li>
 <li>
 Apply applicable frameworks to improve and optimize the AI processes, ensuring implementation of new innovations, and efficiency of the AI solutions.
 </li>
 <li>
 Contribute towards the entire AI project lifecycle, with focus to enhance performance and optimizations.
 </li>
 <li>
 Work closely with the Senior Specialist in application/system development/enhancement project plans, including but not limited to project scope / schedule preparation, and implementation.
 </li>
 <li>
 Work closely with the respective stakeholders, as applicable, in documentation of business requirements, and specifications.
 </li>
 <li>
 Formulate programming codes /scripts intended for enhancements / development of new application /system functionalities.
 </li>
 <li>
 Ensure prompt delivery design prototype, based on detailed analysis/ assessment of user needs/ specifications.
 </li>
 <li>
 Perform testing of completed applications/system, as applicable, to ensure alignment of concluded work in line with the business requirements, and approved design/architecture.
 </li>
 <li>
 Identify and troubleshoot application/system bugs, and correct errors, in a timely manner.
 </li>
 <li>
 Perform application/system improvement upgrades, as per the approved schedule, and stipulations.
 </li>
 <li>
 Prepare/generate management reports/ad-hoc update on specific application/system development/enhancement progress.
 </li>
 </ul>
 
 
 
 
 
 Educational Qualifications:
 
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree or in Computer Science, Information Systems, or any other related discipline from a recognized university.
 </li>
 <li>
 Master&rsquo;s degree in management any other related discipline from a recognized university.
 </li>
 </ul>
 
 
 
 
 
 Experience:
 
 
 
 
 
 <ul>
 <li>
 05-08 years of total experience in financial services/banking industry, entailing responsibilities pertaining to the specific area of discipline.
 </li>
 <li>
 Prior experience as a Database Developer with hands on experience on Oracle application.
 </li>
 <li>
 Hands-on experience in development of AI applications or projects
 </li>
 </ul>
 
 
</div>

Technical Developer

Explore 579+ Machine learning engineer in Doha this September. Find roles across top companies and apply now to boost your career.

579 machine learning engineer jobs IN Doha

Machine Learning Engineer/ Sr. Data Scientist

Data Scientist

Machine Learning Engineering Manager, International Public Sector

Data Scientist/Analyst

Senior Data Scientist

Data Scientist

Technical Developer