full stack developer

data scientist

web developer

senior software engineer

data analyst

machine learning developer

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

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

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)

Canonical

<div>
 Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1000+ colleagues in 70+ countries and very few roles based in offices. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.
 
 
 The company is founder led, profitable and growing. We are hiring
 
 Python and Kubernetes Specialist Engineers focused on Data, Workflows, AI/ML and Analytics Solutions
 
 to join our teams building open source solutions for public cloud and private infrastructure.
 
 
 As a software engineer on the team, you'll collaborate on end-to-end data analytics and MLOps solutions composed of popular, open-source, machine learning tools, such as Kubeflow, MLFlow, DVC, and Feast. You may also work on ETL, data governance and visualization tools like Apache SuperSet, dbt, workflow orchestration tools such as Airflow and Temporal, or data warehouse solutions such as Apache Trino, or ClickHouse. These solutions may be run on servers or on the cloud, on machines or on Kubernetes, on developer desktops, or as web services.
 
 
 We serve the needs of individuals and community members as much as the needs of our Global 2000 and Fortune 500 customers; we make our primary work available free of charge and our Pro subscriptions are also available to individuals for personal use at no cost. Our goal is to enable more people to enjoy the benefits of open source, regardless of their circumstances.
 
 
 
 Location:
 
 This initiative spans many teams that are home-based and in multiple time zones. We believe in distributed collaboration but we also try to ensure that colleagues have company during their work hours! Successful candidates will join a team where most members and your manager are broadly in the same time zone so that you have the benefits of constant collaboration and discussion.
 
 
 
 What your day will look like
 
 
 
 <ul>
 <li>
 Develop your understanding of the entire Linux stack, from kernel, networking, and storage, to the application layer
 </li>
 <li>
 Design, build and maintain solutions that will be deployed on public and private clouds and local workstations
 </li>
 <li>
 Master distributed systems concepts such as observability, identity, tracing
 </li>
 <li>
 Work with both Kubernetes and machine-oriented open source applications
 </li>
 <li>
 Collaborate proactively with a distributed team of engineers, designers and product managers
 </li>
 <li>
 Debug issues and interact in public with upstream and Ubuntu communities
 </li>
 <li>
 Generate and discuss ideas, and collaborate on finding good solutions
 
 
 </li>
 </ul>
 
 What we are looking for in you
 
 
 
 <ul>
 <li>
 Professional or academic software delivery using Python
 </li>
 <li>
 Exceptional academic track record from both high school and university
 </li>
 <li>
 Undergraduate degree in a technical subject or a compelling narrative about your alternative chosen path
 </li>
 <li>
 Confidence to respectfully speak up, exchange feedback, and share ideas without hesitation
 </li>
 <li>
 Track record of going above-and-beyond expectations to achieve outstanding results
 </li>
 <li>
 Passion for technology evidenced by personal projects and initiatives
 </li>
 <li>
 The work ethic and confidence to shine alongside motivated colleagues
 </li>
 <li>
 Professional written and spoken English with excellent presentation skills
 </li>
 <li>
 Experience with Linux (Debian or Ubuntu preferred)
 </li>
 <li>
 Excellent interpersonal skills, curiosity, flexibility, and accountability
 </li>
 <li>
 Appreciative of diversity, polite and effective in a multi-cultural, multi-national organisation
 </li>
 <li>
 Thoughtfulness and self-motivation
 </li>
 <li>
 Result-oriented, with a personal drive to meet commitments
 </li>
 <li>
 Ability to travel twice a year, for company events up to two weeks long
 
 
 </li>
 </ul>
 
 Additional skills that would be nice to have
 
 
 
 The following skills may be helpful to you in the role, but we don't expect everyone to bring all of them.
 
 
 <ul>
 <li>
 Proven track record of building highly automated machine learning solutions, data pipelines, or orchestrating workflows for the cloud.
 </li>
 <li>
 Hands-on experience with machine learning libraries, or tools.
 </li>
 <li>
 Experience with container technologies (Docker, LXD, Kubernetes, etc.)
 </li>
 <li>
 Experience with public clouds (AWS, Azure, Google Cloud)
 </li>
 <li>
 Working knowledge of cloud computing
 </li>
 <li>
 Passionate about software quality and testing
 </li>
 <li>
 Experience working on an open source project
 
 
 </li>
 </ul>
 
 What we offer colleagues
 
 
 
 We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.
 
 
 <ul>
 <li>
 Distributed work environment with twice-yearly team sprints in person
 </li>
 <li>
 Personal learning and development budget of USD 2,000 per year
 </li>
 <li>
 Annual compensation review
 </li>
 <li>
 Recognition rewards
 </li>
 <li>
 Annual holiday leave
 </li>
 <li>
 Maternity and paternity leave
 </li>
 <li>
 Employee Assistance Programme
 </li>
 <li>
 Opportunity to travel to new locations to meet colleagues
 </li>
 <li>
 Priority Pass, and travel upgrades for long haul company events
 
 
 </li>
 </ul>
 
 About Canonical
 
 
 
 Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since its inception in 2004. Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game.
 
 
 
 Canonical is an equal opportunity employer
 
 
 
 We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.
 
 
</div>

Python and Kubernetes Software Engineer - Data, Workflows, AI/ML & Analytics

one.com

<div>
 Are you a passionate Full Stack Developer looking to work with innovative technologies and contribute to meaningful digital solutions? We&rsquo;re looking for a skilled and motivated individual to join our growing product and development team at one.com. In this pivotal role, you&rsquo;ll collaborate on building high-quality web applications and services, driving projects from concept through release and ongoing optimisation.
 
 
 Role Overview: Full Stack Developer Careers
 
 
 As a Full Stack Developer, you will be instrumental in designing, developing, and maintaining scalable and robust digital products used by customers worldwide. You&rsquo;ll work across the software development lifecycle, tackling front-end interfaces, back-end systems, and database integrations. Your code will help deliver seamless user experiences and ensure reliability and performance for our global platform.
 
 
 
 Responsibilities
 
 
 
 In this role, you will:
 
 
 <ul>
 <li>
 Design, develop, and deliver secure, scalable, and high-quality web applications within an agile development environment.
 </li>
 <li>
 Build and integrate AI-driven features by embedding machine learning models and algorithms into full-stack web applications.
 </li>
 <li>
 Lead software development projects, providing technical direction, mentoring team members, and ensuring delivery of clean, maintainable, and high-performing code.
 </li>
 <li>
 Participate in design and code reviews, offering constructive feedback to uphold and enhance engineering standards.
 </li>
 <li>
 Optimize application performance to ensure reliability, scalability, and efficient resource usage across systems.
 </li>
 <li>
 Stay up to date with emerging technologies, continuously evaluating and adopting innovations that enhance product development.
 </li>
 <li>
 Collaborate closely with cross-functional teams&mdash;including product managers, delivery leads, and QA&mdash;to align technical efforts with business objectives and ensure successful project outcomes.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 The right candidate should have:
 
 
 <ul>
 <li>
 5+ years of experience in designing, developing, deploying, and maintaining secure and scalable web applications.
 </li>
 <li>
 Proficiency in front-end technologies such as ReactJS, Next.js, HTML, CSS, JavaScript, and TypeScript.
 </li>
 <li>
 Strong back-end development experience using Node.js, Express, Java, and Python.
 </li>
 <li>
 A solid understanding of data structures, algorithms, and software design patterns.
 </li>
 <li>
 Experience working with both relational and non-relational databases, including PostgreSQL, MySQL, MongoDB, and CouchDB.
 </li>
 <li>
 Hands-on experience with containerization tools like Docker and implementing CI/CD pipelines for automated integration and deployment.
 </li>
 <li>
 Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn, OpenCV) for behavioral modeling, computer vision, and NLP, including data preprocessing and model deployment.
 </li>
 <li>
 Familiarity with Agile methodologies such as Scrum.
 </li>
 <li>
 Excellent collaboration and communication skills with a team-oriented mindset.
 
 
 </li>
 </ul>
 
 Become a part of group.ONE
 
 
 
 Since Its Establishment In 2002, One.com Has Been In Constant Development And Is Today Part Of Group.ONE, Which Is One Of The Leading Group Companies In Europe In The Administration And Sale Of Domains, Web Hotels, And Email. We Offer An International Environment Where We Have a High Level Of Flexibility. As a Group, We Have
 
 
 <ul>
 <li>
 More than 2,900,000 registered domains
 </li>
 <li>
 More than 2,000,000 customers in 149 countries
 </li>
 <li>
 More than 1,100 employees with more than 40 different nationalities
 </li>
 <li>
 English as a corporate language
 </li>
 <li>
 9 major brands well established in the European market
 
 
 </li>
 </ul>
 We offer
 
 
 <ul>
 <li>
 Growth-oriented culture
 </li>
 <li>
 Limitless learning opportunities by working with cutting edge tech stacks and with a diverse and talented team
 </li>
 <li>
 A chance to make an impact on our business strategy using your work
 </li>
 <li>
 Relocation package
 </li>
 <li>
 Excellent and competitive compensation
 </li>
 <li>
 Premium Medical/Dental/Vision coverage for employee plus dependents
 </li>
 <li>
 Flexible work environment
 </li>
 <li>
 Company events, hackathons, cultural and sports events
 </li>
 <li>
 Monthly wellness webinar/coaching
 
 
 </li>
 </ul>
 
 Diversity, Inclusion, and Engagement at one.com
 
 
 
 At group.ONE we are intentional about diversity, equality and creating an inclusive climate. We work not only across continents and countries, but also across gender expressions, generations, cultures, sexual orientations, religions, and perspectives.
 
 
 Therefore, group.ONE is an equal opportunity workplace committed to equal employment opportunity regardless of race, color, ancestry, sex, national origin, sexual orientation, age, citizenship, marital status, disability or gender identity/ expression.
 
 
 If you have a disability or special need that requires accommodation, please let us know in your application.
 
 
 
 Are you our new colleague?
 
 
 
 Please send a brief application and your full CV to hr-dxb@one.com
 
 
 Welcome to one.com, where innovation meets passion. We are a leading web hosting and domain registration company dedicated to empowering individuals and businesses online. Since 2002, we have been committed to delivering reliable, user-friendly, and affordable web services. Our mission is to make it easy for anyone to build and maintain an online presence, and we believe in integrity, innovation, and putting our customers first.
</div>

Full Stack 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)

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

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