software engineer

backend engineer

data engineer

data scientist

estimation engineer

machine learning engineer

ELSEWEDY ELECTRIC

<div>
 
 
 About us:
 
 
 
 
 
 
 
 
 
 Elsewedy Electric: Powering Progress, Empowering PeoplE
 
 
 
 
 
 For over 80 years
 
 , Elsewedy Electr
 
 ic has been a leading manufacturer of electrical products and solutions, operating in 19 countries with over 18,000 employees. We offer a diverse range of products across wire &amp; cable, electrical equipment, engineering &amp; construction, digital solutions, and infrastructure investments. Beyond our manufacturing prowess, we're passionate about creating a positive and empowering work environment for our team. We foster a culture of diversity, inclusion, and continuous learning, providing opportunities for professional development and career growth. Our commitment to employee well-being extends beyond compensation with initiatives promoting work-life balance and overall well-being. Join us and be part of a company that's not just powering progress, but empowering people to build a brighter future.
 
 
 
 
 
 This job opportunity is offere
 
 d by Elsewedy Electric Graduate Development Program
 
 The program is designed for Graduates with 0-2 years' of experience. The program offers various job rotations, mentorships, coaching &amp; trainings. 2024 &amp; 2025 Graduates are welcomed to apply
 
 
 
 
 
 
 Roles &amp; Responsibilities:
 
 
 
 
 
 <ul>
 <li>
 Collect, clean, and join data from manufacturing systems (e.g., sensors, SCADA, MES) and business systems (e.g., ERP, CRM, finance, HR).
 </li>
 <li>
 Build and validate machine learning models for use cases such as quality prediction, demand forecasting, and cost optimization.
 </li>
 <li>
 Write complex SQL queries to extract insights across different structured databases (e.g., Oracle, SQL Server).
 </li>
 <li>
 Create and maintain interactive dashboards (Power BI, Tableau) to support operational and strategic decisions.
 </li>
 <li>
 Collaborate with operations, business units, and IT to understand data needs and processes.
 </li>
 <li>
 Document models and workflows and ensure data integrity across sources.
 </li>
 </ul>
 
 
 
 
 
 You're a great fit if you have:
 
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science or a related field.
 </li>
 <li>
 0-2 Years' of experience in the same field.
 </li>
 <li>
 Fluent Written and Verbal English is a
 
 
 must.
 </li>
 <li>
 Proficient in Python (pandas, scikit-learn, matplotlib) and SQL
 </li>
 <li>
 Familiarity with BI tools (e.g., Power BI, Tableau)
 </li>
 <li>
 Understanding of basic ML concepts (classification, regression, clustering)
 </li>
 <li>
 Certifications in data science, ML (e.g., Coursera, Google Data Analytics, Microsoft Azure Data Scientist Associate) is preferrable.
 </li>
 </ul>
 
 
</div>

Machine Learning Engineer

intella

<div>
 
 
 Responsibilities
 
 
 
 
 
 <ul>
 <li>
 Research and apply the latest machine learning and NLP techniques to solve business problems
 </li>
 <li>
 Experiment with new technologies and create proof of concepts to guide design and architecture choices
 </li>
 <li>
 Design and implement machine learning and NLP models to solve complex business problems
 </li>
 <li>
 Being responsible for evaluating and producing robust and innovative machine learning models
 </li>
 <li>
 Work with large and complex data sets to extract insights and build predictive models
 </li>
 <li>
 Collaborate with cross-functional teams to identify business problems and develop solutions
 </li>
 <li>
 Work together with our engineering team to deploy and enhance the models at scale
 </li>
 <li>
 Develop and optimize machine learning algorithms and models for performance and scalability
 </li>
 <li>
 Build and maintain data pipelines for data preprocessing and model training
 </li>
 <li>
 Communicate technical concepts and solutions to non-technical stakeholders
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Requirements and Qualifications
 
 
 
 
 
 <ul>
 <li>
 Master's or PhD degree in Computer Science, Mathematics, Statistics, or a related field
 </li>
 <li>
 At least 5 years of experience in designing and implementing machine learning and NLP models
 </li>
 <li>
 Strong understanding of machine learning algorithms, techniques, and frameworks such as TensorFlow, PyTorch, and scikit-learn
 </li>
 <li>
 Confident Python developer and have strong skills into application best practices (code modularity, unit tests, documentation, etc.)
 </li>
 <li>
 Fluent in ML libraries like NumPy, Pandas, SciPy, Scikit-Learn and Pytorch
 </li>
 <li>
 Strong experience in packaging and delivering ML models in production
 </li>
 <li>
 Familiarity with NLP techniques such as text classification, named entity recognition, and sentiment analysis
 </li>
 <li>
 Experience with big data technologies such as Hadoop, Spark, and SQL
 </li>
 <li>
 Proficiency in Docker and advanced experience with DevOps tools
 </li>
 <li>
 Strong problem-solving and analytical skills Excellent written and verbal communication skills
 </li>
 <li>
 Ability to work independently and in a team environment Strong leadership and mentoring skills
 </li>
 </ul>
</div>

Artificial Intelligence and Machine Learning Engineer

DXC Technology

<div>
 
 Job Description
 
 
 
 
 Role Overview:
 
 
 
 We are seeking a highly skilled and collaborative Data Scientist to join the delivery team for a strategic Data &amp; AI implementation project. The ideal candidate will support the platform&rsquo;s advanced analytics use cases, including data exploration, statistical modeling, feature engineering, ML model development, and GenAI use case enablement. You will collaborate with data engineers, architects, BI developers, and business stakeholders to deliver actionable insights and intelligent solutions.
 
 
 
 Key Responsibilities
 
 
 
 
 🔹 Data Exploration &amp; Feature Engineering:
 
 
 
 <ul>
 <li>
 Explore, profile, and analyze structured, semi-structured, and unstructured data across more than 11 enterprise source systems (e.g., SAP, Oracle Fusion, JIRA, Primavera, etc.)
 </li>
 <li>
 Perform data cleansing, feature selection, and transformation activities across Bronze and Silver layers of the Lambda Data Lakehouse architecture
 
 
 </li>
 </ul>
 
 🔹 Advanced Analytics &amp; ML
 
 
 
 <ul>
 <li>
 Develop, train, and optimize supervised and unsupervised machine learning models to support use cases such as customer churn prediction, financial chatbot insights, and operational efficiency improvements
 </li>
 <li>
 Support integration and deployment of ML models into the data platform using tools like Google Cloud AI Platform, Python, Snowflake, and Power BI
 
 
 </li>
 </ul>
 
 🔹 GenAI Enablement
 
 
 
 <ul>
 <li>
 Collaborate on use cases involving Generative AI and Large Language Models (LLMs) using structured and unstructured datasets
 </li>
 <li>
 Work with data architects to ensure the Lakehouse architecture supports these models effectively
 
 
 </li>
 </ul>
 
 🔹 Collaboration &amp; Business Engagement
 
 
 
 <ul>
 <li>
 Participate in workshops and requirement-gathering sessions with customer&rsquo;s business and technical teams
 </li>
 <li>
 Translate business questions into data science problems, and present findings in actionable, business-friendly formats (dashboards, reports, presentations)
 
 
 </li>
 </ul>
 
 🔹 Quality, Testing &amp; Governance
 
 
 
 <ul>
 <li>
 Document assumptions, modeling approaches, and validations
 </li>
 <li>
 Participate in unit testing, QA, and UAT activities related to predictive analytics and AI models
 </li>
 <li>
 Ensure compliance with NDMO, PDPL, and customer&rsquo;s internal data governance policies
 
 
 </li>
 </ul>
 
 Required Skills And Experience
 
 
 
 <ul>
 <li>
 Strong experience in data science or machine learning roles on large-scale enterprise data projects
 </li>
 <li>
 Strong hands-on experience in:
 </li>
 <ul>
 <li>
 Python, Pandas, Scikit-learn, TensorFlow or PyTorch
 </li>
 <li>
 SQL (Snowflake or Google BigQuery preferred)
 </li>
 <li>
 Data wrangling and feature engineering
 </li>
 </ul>
 <li>
 Experience with ML lifecycle and MLOps tools on Google Cloud Platform (GCP)
 </li>
 <li>
 Familiarity with data versioning, CI/CD for ML, and monitoring ML pipelines
 </li>
 <li>
 Knowledge of APIs, data integration methods, and working with virtualized layers (e.g., Denodo)
 </li>
 <li>
 Exposure to BI visualization tools like Power BI
 </li>
 <li>
 Understanding of data privacy, security, and model fairness in regulated environments
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Google Cloud Certified Data Engineer / Machine Learning Engineer (preferred but not mandatory)
 </li>
 <li>
 Experience working in real estate or public sector is a plus
 </li>
 <li>
 Understanding of data cataloging, metadata, and lineage concepts using Informatica Cloud
 
 
 </li>
 </ul>
 
 Soft Skills
 
 
 
 <ul>
 <li>
 Strong analytical mindset and problem-solving skills
 </li>
 <li>
 Excellent communication and stakeholder engagement abilities
 </li>
 <li>
 Ability to work under pressure and deliver in fast-paced, multi-vendor environments
 
 
 </li>
 </ul>
 At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We&rsquo;re committed to fostering an inclusive environment where everyone can thrive.
 
 
 Recruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services, such as false websites, or through unsolicited emails claiming to be from the company. These emails may request recipients to provide personal information or to make payments as part of their illegitimate recruiting process. DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process, nor ask a job seeker to purchase IT or other equipment on our behalf. More information on employment scams is available here
 
 .
 
</div>

Data Scientist

Norconsult Telematics

<div>
 
 Data Scientist (Arabic)
 
 
 
 
 
 Location:(Riyadh, Saudi Arabia) Arabic Speakers require
 
 d
 
 
 
 
 
 
 
 Position Objective
 
 s
 
 
 Develop advanced predictive and taxonomic models to drive data-driven insights for business and analytical applications.
 
 
 Leverage Python and machine learning tools to analyse data, extract valuable indicators, and provide actionable recommendations to support strategic decision-making
 
 .
 
 
 
 
 
 
 
 Job Description &amp; Responsibilit
 
 ies
 
 <ul>
 <li>
 3-5 years in developing predictive and taxonomic models using Python to address business challenges.
 </li>
 <li>
 Utilise machine learning libraries like Scikit-learn and Pandas for data analysis and modelling.
 </li>
 <li>
 Interpret and analyse complex datasets to extract meaningful indicators and trends.
 </li>
 <li>
 Make data-driven recommendations based on advanced analytics to guide business decisions.
 </li>
 <li>
 Collaborate with stakeholders to understand business needs and translate them into analytical solutions.
 </li>
 <li>
 Optimise models for accuracy, scalability, and performance in production environments.
 </li>
 <li>
 Document modelling processes, findings, and recommendations for transparency and collaboration.
 </li>
 </ul>
 
 
 
 
 
 Qualifications &amp; Experi
 
 ence
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Data Science, Computer Science, Statistics, or a related field; a Master&rsquo;s degree is a plus.
 </li>
 <li>
 Python Modelling Expertise (Mandatory): 3&ndash;5 years of experience developing predictive and taxonomic models using Python.
 </li>
 <li>
 Machine Learning Proficiency (Mandatory): Hands-on expertise with Scikit-learn, Pandas, and other machine learning libraries for data analysis and modelling.
 </li>
 <li>
 Advanced Analytics and Recommendations (Mandatory): Proven ability to perform advanced analytics and deliver actionable recommendations based on data insights.
 </li>
 <li>
 Strong skills in interpreting and analysing complex datasets to extract valuable indicators.
 </li>
 <li>
 Excellent problem-solving, collaboration, and communication skills, with fluency in written and spoken English.
 </li>
 <li>
 Familiarity with additional tools (e.g., TensorFlow, PyTorch) or cloud platforms (e.g., AWS, Azure) is a plus.
 </li>
 <li>
 Passion for leveraging data science to drive innovative solutions in a dynamic environment.
 </li>
 </ul>
 
 Exp Range 3-5 years to max 7 to 8.
 
</div>

Data Scientist (ARABIC SPEAKER)

Henkel

<div>
 
 About this Position
 
 The Data Scientist enables value creation with data innovations (e.g. Applied data Science, Machine Learning, Artificial Intelligence, Quantitative Research &amp; Statistics) and productionizing data products. The team includes experts in analytics and finance, implementing analytical use cases for Adhesives unit (HAT), from product innovation to customer facing applications. The team is responsible for applying the latest tools and technologies as well as cloud services to design, build and run data driven AI solutions that contribute to Henkel&rsquo;s digitalization strategy.
 
 
 
 What You&acute;ll Do
 
 
 
 <ul>
 <li>
 Solve complex business problems with data; using data scientific tools to find solutions for challenges in the realm of both big and small data: developing custom data models and algorithms to apply to data sets
 </li>
 <li>
 Delivers data science products from idea to deployment
 </li>
 <li>
 Actively participate in cross-functional project teams in the execution of our analytics strategy, exploring emerging technologies and leveraging their full potential
 </li>
 <li>
 Develop processes and tools to monitor and analyze model performance and data accuracy
 </li>
 <li>
 Acts as data science ambassador across business units and functions
 
 
 </li>
 </ul>
 
 What makes you a good fit
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Network Engineering, Business informatics, or any relevant study
 </li>
 <li>
 3-5 years of relevant work experience
 </li>
 <li>
 Expert knowledge in at least one of the following data science areas: supervised or unsupervised machine learning, statistical modeling
 </li>
 <li>
 Business acumen and ability to work closely with non-technical teams
 </li>
 <li>
 High confidence in verbal and written communication.
 </li>
 <li>
 Experience using statistical computer languages (Python and SQL knowledge is a must)
 </li>
 <li>
 Experience analyzing data from 3rd party providers is preferable
 </li>
 <li>
 Microsoft Azure (DevOps, machine learning, databricks etc.) experience is preferable
 
 
 </li>
 </ul>
 
 Some perks of joining Henkel
 
 
 
 <ul>
 <li>
 Flexible work scheme with flexible hours, hybrid work model, and work from anywhere policy for up to 30 days per year
 </li>
 <li>
 Diverse national and international growth opportunities
 </li>
 <li>
 Globally wellbeing standards with health and preventive care programs
 </li>
 <li>
 Gender-neutral parental leave for a minimum of 8 weeks
 </li>
 <li>
 Employee Share Plan with voluntary investment and Henkel matching shares
 </li>
 <li>
 Comprehensive Health Insurance for employee + dependents
 </li>
 <li>
 Employee Assistance Program provides a wide range of mental health and wellbeing benefits
 
 
 </li>
 </ul>
 At Henkel, we come from a broad range of backgrounds, perspectives, and life experiences. We believe the uniqueness of all our employees is the power in us. Become part of the team and bring your uniqueness to us! We look for a diverse team of individuals who possess different backgrounds, experiences, personalities and mindsets.
</div>

Archer Integrated Risk Management

<div>
 Job Details
 
 
 
 Description
 
 
 
 For nearly 25 years, Archer has been a pioneer and a trusted global leader in delivering comprehensive compliance and risk management solutions to empower organizations to effectively navigate risks, ensure compliance, and achieve their business objectives. Our innovative GRC solutions are designed to provide companies with a clear, unified perspective on their risk landscape and enable data-driven decision-making and strategic planning. By leveraging cutting-edge technologies such as AI and risk quantification, we equip our clients to anticipate, adapt to, and overcome challenges in today&rsquo;s rapidly evolving market. At Archer, we don&rsquo;t just help organizations manage risk &mdash; we help our clients transform risk into a strategic advantage and turn uncertainty into opportunity. Learn more at www.ArcherIRM.com
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Applies a broad range of techniques and theories from statistics, machine learning, and business intelligence to deliver actionable business insights based on large-scale data.
 </li>
 <li>
 Consolidates and analyzes structured and unstructured data sources to generate insights and solutions for actionable business insights.
 </li>
 <li>
 Executes preliminary data exploration, data preparation steps and variable/algorithm selection as well as model development/validation and scoring.
 </li>
 <li>
 Works under limited supervision with internal and external teams to understand requirements and develop proposals.
 </li>
 <li>
 Experiment to prove workability for suggested solution by building steel frame, POCs, prototypes and MVPs.
 </li>
 <li>
 Reiterate to seek feedback, implement with agility to deliver incrementally with speed while responding swiftly to requested changes.
 </li>
 <li>
 Provide technical assistance and guidance to other team members whenever applicable, while working in self-disciplined and self-organized environment. Other Duties:
 
 
 </li>
 </ul>
 Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice at management discretion based on business need.
 
 
 
 Requirements
 
 
 
 <ul>
 <li>
 5+ years of relevant working experience.
 </li>
 <li>
 Bachelor&rsquo;s degree in Computer Science or Computer Engineering.
 </li>
 <li>
 Solid knowledge of a variety of machine learning techniques (Classification, Regression, Clustering, Similarity Matching, Profiling, Link Prediction, etc.) and experience with using machine learning algorithms (k-NN, Naive Bayes, SVM, Decision Forests, Neural Networks, etc.) to solve real-world business problems.
 </li>
 <li>
 Solid applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators, etc.
 </li>
 <li>
 Experience with a statistical programming language like R or Python.
 </li>
 <li>
 Experience with SQL and NoSQL databases.
 </li>
 <li>
 Experience with using data visualization tools like ggplot, d3.js, Tableau or PowerBI.
 </li>
 <li>
 Experience with software development agile methodologies.
 </li>
 <li>
 Familiarity with JavaScript.
 </li>
 <li>
 Familiarity with AWS RDS, Redshift and S3.
 
 
 </li>
 </ul>
 Archer is committed to the principle of equal employment opportunity for all employees and applicants for employment and to providing employees with a work environment free of discrimination and harassment. All employment decisions at Archer are based on business needs, job requirements and individual qualifications, without regard to race, color, religion, national origin, sex (including pregnancy), age, disability, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, protected veteran status, genetic information, or any other characteristic protected by federal, state or local laws. Archer will not tolerate discrimination or harassment based on any of these characteristics. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. All Archer employees are expected to support this policy and contribute to an environment of equal opportunity.
 
 
 If you need a reasonable accommodation during the application process, please contact talent-acquisition@archerirm.com. All employees must be legally authorized to work in Egypt or hold the required visa/permit. Archer and its approved consultants will never ask you for a fee to process or consider your application for a career with Archer. Archer reserves the right to amend or withdraw any job posting at any time, including prior to the advertised closing date.
</div>

Senior Data Scientist

Agoda

<div>
 
 About Agoda
 
 
 
 Agoda is an online travel booking platform for accommodations, flights, and more. We build and deploy cutting-edge technology that connects travelers with a global network of 4.7M hotels and holiday properties worldwide, plus flights, activities, and more. Based in Asia and part of Booking Holdings, our 7,100+ employees representing 95+ nationalities in 27 markets foster a work environment rich in diversity, creativity, and collaboration. We innovate through a culture of experimentation and ownership, enhancing the ability for our customers to experience the world.
 
 
 Our Purpose - Bridging the World Through Travel
 
 
 We believe travel allows people to enjoy, learn and experience more of the amazing world we live in. It brings individuals and cultures closer together, fostering empathy, understanding and happiness.We are a skillful, driven and diverse team from across the globe, united by a passion to make an impact. Harnessing our innovative technologies and strong partnerships, we aim to make travel easy and rewarding for everyone.
 
 
 Get to Know Our TeamThe Data department oversees all of Agoda&rsquo;s data-related requirements. Our ultimate goal is to enable and increase the use of data in the company through creative approaches and the implementation of powerful resources such as operational and analytical databases, queue systems, BI tools, and data science technology. We hire the brightest minds from around the world to take on this challenge and equip them with the knowledge and tools that contribute to their personal growth and success while supporting our company&rsquo;s culture of diversity and experimentation. The role the Data team plays at Agoda is critical as business users, product managers, engineers, and many others rely on us to empower their decision making. We are equally dedicated to our customers by improving their search experience with faster results and protecting them from any fraudulent activities. Data is interesting only when you have enough of it, and we have plenty. This is what drives up the challenge as part of the Data department, but also the reward.
 
 
 The Opportunity
 
 
 We are looking for ambitious and agile data scientists that would like to seize the opportunity to work on some of the most challenging productive machine learning and big data platforms worldwide, processing some 600B events every day and making some 5B predictions.
 
 
 As part of the Data Science and Machine Learning (AI/ML) team you will be exposed to real-world challenges such as: dynamic pricing, predicting customer intents in real time, ranking search results to maximize lifetime value, classifying and deep learning content and personalization signals from unstructured data such as images and text, making personalized recommendations, innovating algorithm-supported promotions and products for supply partners, discovering insights from big data, and innovating the user experience. To tackle these challenges, you will have the opportunity to work on one of the world's largest ML infrastructure employing dozens of GPUs working in parallel, 30K+ CPU cores and 150TB of memory.
 
 
 In This Role, You&rsquo;ll Get to
 
 
 <ul>
 <li>
 Design, code, experiment and implement models and algorithms to maximize customer experience, supply side value, business outcomes, and infrastructure readiness
 </li>
 <li>
 Mine a big data of hundreds of millions of customers and more than 600M daily user generated events, supplier and pricing data, and discover actionable insights to drive improvements and innovation
 </li>
 <li>
 Work with developers and a variety of business owners to deliver daily results with the best quality
 </li>
 <li>
 Research discover and harness new ideas that can make a difference
 
 
 </li>
 </ul>
 What You&rsquo;ll Need to Succeed
 
 
 <ul>
 <li>
 4+ years hands-on data science experience
 </li>
 <li>
 Excellent understanding of AI/ML/DL and Statistics, as well as coding proficiency using related open source libraries and frameworks
 </li>
 <li>
 Significant proficiency in SQL and languages like Python, PySpark and/or Scala
 </li>
 <li>
 Can lead, work independently as well as play a key role in a team
 </li>
 <li>
 Good communication and interpersonal skills for working in a multicultural work environment
 
 
 </li>
 </ul>
 It&rsquo;s Great if You Have
 
 
 <ul>
 <li>
 PhD or MSc in Computer Science / Operations Research / Statistics or other quantitative fields
 </li>
 <li>
 Experience in NLP, image processing and/or recommendation systems
 </li>
 <li>
 Hands on experience in data engineering, working with big data framework like Spark/Hadoop
 </li>
 <li>
 Experience in data science for e-commerce and/or OTA
 
 
 </li>
 </ul>
 We welcome both local and international applications for this role. Full visa sponsorship and relocation assistance available for eligible candidates.
 
 
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 Equal Opportunity Employer
 
 
 At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person&rsquo;s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
 
 
 We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
 
 
 Disclaimer
 
 
 We do not accept any terms or conditions, nor do we recognize any agency&rsquo;s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.
 
 
</div>

Lead DS (Data Scientist) Bangkok based, Relocation provided

Explore 339+ Machine learning engineer in Cairo this September. Find roles across top companies and apply now to boost your career.

339 machine learning engineer jobs IN Cairo

Machine Learning Engineer

Artificial Intelligence and Machine Learning Engineer

Data Scientist

Data Scientist (ARABIC SPEAKER)

Data Scientist

Senior Data Scientist

Lead DS (Data Scientist) Bangkok based, Relocation provided