data scientist

data scientist - artificial intelligence Jobs in Giza

data scientist - artificial intelligence

lead ds (data scientist) bangkok based, relocation provided Jobs in Giza

lead ds (data scientist) bangkok based, relocation provided

supervisor, data modeling

data & analytics engineer (vois) Jobs in Giza

data & analytics engineer (vois)

data scientist artificial

<div>
 
 Introduction
 
 
 
 In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.
 
 
 A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe.
 
 
 You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio; including Software and Red Hat.
 
 
 Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you'll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in ground breaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience.
 
 
 
 Your Role And Responsibilities
 
 
 
 We are seeking an experienced Data Scientist. The ideal candidate will have a deep understanding of Machine Learning, Generative AI, and Large Language Models, combined with strong leadership abilities. This role will be responsible for business development, overseeing the development and implementation of advanced data-driven solutions as well as mentor a team of talented data scientists.
 
 
 
 Technical Oversight
 
 
 
 <ul>
 <li>
 Oversee the design, development, and deployment of Machine Learning models and AI solutions.
 </li>
 <li>
 Ensure the use of best practices in data science, including model validation, performance monitoring, and continuous improvement.
 </li>
 <li>
 Stay informed about the latest developments in AI/ML and drive the adoption of relevant technologies within the team.
 
 
 </li>
 </ul>
 
 Team Development
 
 
 
 <ul>
 <li>
 Provide mentorship and professional development opportunities to project and practice team members.
 </li>
 <li>
 Actively support in recruitment efforts to attract top talent and grow the team as needed.
 </li>
 <li>
 Help Foster a culture of learning and continuous development within the AI/Data Science team.
 
 
 </li>
 </ul>
 
 Preferred Education
 
 
 
 Master's Degree
 
 
 
 Required Technical And Professional Expertise
 
 
 
 <ul>
 <li>
 7+ years of experience in Data Science and Machine Learning with at least 1 year of experience in conversational solutions design and development using Watson Assistant or similar conversational AI platforms.
 </li>
 <li>
 Proven track record of delivering AI/ML projects.
 </li>
 <li>
 Experience with Generative AI and Large Language Models is highly desirable
 
 
 </li>
 </ul>
 
 Technical Skills
 
 
 
 <ul>
 <li>
 Proficiency in programming languages such as Python, R, or Scala.
 </li>
 <li>
 Deep understanding of Machine Learning frameworks (e.g., TensorFlow, PyTorch) and data processing tools (e.g., SQL, Pandas).
 </li>
 <li>
 Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and machine learning deployment.
 </li>
 <li>
 Strong knowledge of Natural Language Processing (NLP) and AI ethics.
 
 
 </li>
 </ul>
 
 Leadership Skills
 
 
 
 <ul>
 <li>
 Leadership skills with the ability to inspire and motivate junior team members.
 </li>
 <li>
 Strategic thinking with the ability to align data science initiatives with business objectives.
 </li>
 <li>
 Very good communication skills, capable of conveying complex ideas to a variety of audiences.
 </li>
 <li>
 Proven ability to work collaboratively in projects with cross-functional teams.
 </li>
 <li>
 Experience in building/scaling data science teams and implementing AI solutions in a large (preferably, consulting) organization....Less
 </li>
 </ul>
</div>

Data Scientist - Artificial Intelligence

<div>
 
 Introduction
 
 
 
 In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.
 
 
 A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe.
 
 
 You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio; including Software and Red Hat.
 
 
 Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you'll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in ground breaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience.
 
 
 
 Your Role And Responsibilities
 
 
 
 We are seeking a Data Scientist with expertise in Artificial Intelligence (AI) to join our team. In this role, you will leverage your strong data analysis skills and business acumen to address complex cognitive computing challenges. You will be responsible for developing and implementing advanced analytics solutions for both structured and unstructured data, with a specific focus on Natural Language Processing (NLP) and Machine Learning (ML) techniques. Your specialization in foundation models and large language models (LLMs) will enable you to design and deliver AI solutions using state-of-the-art technologies.
 
 
 The ideal candidate will have experience with tools like GitHub Copilot and Amazon Code Whisperer, and possess a deep understanding of AI frameworks such as TensorFlow, PyTorch, Keras, or Hugging Face. You should be proficient in programming with Python and familiar with essential libraries such as SciKit Learn, Pandas, and Matplotlib. Additionally, experience with cloud platforms like AWS, Azure, or GCP and container orchestration tools such as Kubernetes is essential.
 
 
 You will work with a range of relational and NoSQL databases (e.g., SQL, Postgres, DB2, MongoDB) and various operating systems (Linux, Windows, iOS, Android), and collaborate with modern UI frameworks (React.js, AngularJS, etc.). Your role will span the entire AI project lifecycle, from research and prototyping to deploying AI solutions in production environments. A strong foundation in one of the following areas is required: NLP, Image Processing, Video Processing, Voice Processing, or Watson technologies.
 
 
 
 Required Technical And Professional Expertise
 
 
 
 <ul>
 <li>
 At least 5 years expertise in AI, particularly in NLP, Machine Learning, and foundation models.
 </li>
 <li>
 Proficiency in Python and AI frameworks
 </li>
 <li>
 Experienced in Java Springboot
 </li>
 <li>
 Strong background in databases (SQL, Postgres, MongoDB) and modern UI frameworks (React.js, AngularJS).
 </li>
 <li>
 Full AI project lifecycle experience, from research and prototyping to production deployment.
 
 
 </li>
 </ul>
 
 Preferred Technical And Professional Experience
 
 
 
 
 Hiring manager and Recruiter should collaborate to create the relevant verbiage.
 
</div>

Data Scientist

<div>
 
 Introduction
 
 
 
 In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.
 
 
 A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe.
 
 
 You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio; including Software and Red Hat.
 
 
 Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you'll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in ground breaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience.
 
 
 
 Your Role And Responsibilities
 
 
 
 We are seeking an experienced Data Scientist. The ideal candidate will have a deep understanding of Machine Learning, Generative AI, and Large Language Models, combined with strong leadership abilities. This role will be responsible for business development, overseeing the development and implementation of advanced data-driven solutions as well as mentor a team of talented data scientists.
 
 
 
 Technical Oversight
 
 
 
 <ul>
 <li>
 Oversee the design, development, and deployment of Machine Learning models and AI solutions.
 </li>
 <li>
 Ensure the use of best practices in data science, including model validation, performance monitoring, and continuous improvement.
 </li>
 <li>
 Stay informed about the latest developments in AI/ML and drive the adoption of relevant technologies within the team.
 
 
 </li>
 </ul>
 
 Team Development
 
 
 
 <ul>
 <li>
 Provide mentorship and professional development opportunities to project and practice team members.
 </li>
 <li>
 Actively support in recruitment efforts to attract top talent and grow the team as needed.
 </li>
 <li>
 Help Foster a culture of learning and continuous development within the AI/Data Science team.
 
 
 </li>
 </ul>
 
 Experience
 
 
 
 
 Required technical and professional expertise
 
 
 
 <ul>
 <li>
 7+ years of experience in Data Science and Machine Learning with at least 1 year of experience in conversational solutions design and development using Watson Assistant or similar conversational AI platforms.
 </li>
 <li>
 Proven track record of delivering AI/ML projects.
 </li>
 <li>
 Experience with Generative AI and Large Language Models is highly desirable
 
 
 </li>
 </ul>
 
 Technical Skills
 
 
 
 <ul>
 <li>
 Proficiency in programming languages such as Python, R, or Scala.
 </li>
 <li>
 Deep understanding of Machine Learning frameworks (e.g., TensorFlow, PyTorch) and data processing tools (e.g., SQL, Pandas).
 </li>
 <li>
 Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and machine learning deployment.
 </li>
 <li>
 Strong knowledge of Natural Language Processing (NLP) and AI ethics.
 
 
 </li>
 </ul>
 
 Leadership Skills
 
 
 
 <ul>
 <li>
 Leadership skills with the ability to inspire and motivate junior team members.
 </li>
 <li>
 Strategic thinking with the ability to align data science initiatives with business objectives.
 </li>
 <li>
 Very good communication skills, capable of conveying complex ideas to a variety of audiences.
 </li>
 <li>
 Proven ability to work collaboratively in projects with cross-functional teams.
 </li>
 <li>
 Experience in building/scaling data science teams and implementing AI solutions in a large (preferably, consulting) organization.
 
 
 </li>
 </ul>
 
 Preferred Technical And Professional Experience
 
 
 
 
 Hiring manager and Recruiter should collaborate to create the relevant verbiage.
 
</div>

Pixelogic Media

<div>Pixelogic Media Partners, LLC provides distribution services and technology solutions to the entertainment industry. We help studios, broadcasters and digital retailers localize and distribute their feature and episodic titles to global audiences on-time and with superior quality.
Our service offerings cover end-to-end workflows including language services such as scripting, subtitling, access services, dubbing, text and metadata localization in over 50 languages. Our technical services master and prepare this content in all distribution products including digital cinema, digital media and physical media (Ultra HD Blu-ray, Blu-ray and DVD).
To date, we serviced thousands of titles for iTunes, Google Play, YouTube, Netflix, Amazon, Movies Anywhere and others. We also authored thousands of Ultra HD Blu-ray, Blu-ray and DVD discs. Our research and development team works on cutting-edge technologies such as 4K, high dynamic range (Dolby Vision, HDR10+), artificial intelligence and machine learning, software automation and our proprietary end-to-end operating platform branded as pHelix.
Experience start-up at scale. Be part of building innovative solutions to service our media and entertainment clients and help us fulfill their content distribution needs. Join us if you&rsquo;re passionate about entertainment, innovation and customer service excellence!
Responsibilities 
<ul>
<li>QC audio description and dubbing projects for content (Audio Description is a form of narration that provides a visual description of onscreen events for a visually impaired audience)</li>
</ul><ul><li>Identify scripting and audio errors and prepare reports for review</li>
<li>Ensure that the content abides by company and client guidelines.</li>
<li>Work specified on-call schedule as needed, in addition to regular schedule</li>
<li>Abide by security policies, and protect information and assets entrusted to you</li>
<li>Work specified on-call schedule as needed, in addition to regular schedule.</li><li>
Abide by security policies, protect information, and assets entrusted to you</li><li>
Other duties as assigned</li></ul>
Requirements<ul>
<li>Bachelor&rsquo;s degree (English\Film degrees preferred)</li>
<li>Screenwriting, copy editing, or scripting experience required</li><li>
Excellent reading skills, spelling/vocabulary, and grammar</li><li>
Comfortable with PC and Mac computers, Microsoft Office, and using a variety of software applications</li><li>
Knowledge of film and media preferred</li><li>
Ability to handle multiple tasks while focusing on a high amount of attention to detail</li></ul><ul>
<li>Ability to work independently and adapt to a fast-paced workflow
</li><li>High level of organizational skills</li>
<li>Maintains a professional demeanor</li>
<li>Must be punctual, dependable, and flexible and possess a team attitude and willingness to adapt to last-minute changes to programming and industry</li>
<li>Ability to perform under pressure with changing priorities</li>
</ul>Benefits<ul>
<li>Private Health Insurance</li>
<li>Social Insurance</li>
<li>Paid Time Off</li>
<li>Training &amp; Development</li></ul></div>

Audio Description QC Editor

Orange

<div><div>Purpose of the job
A Data Modeler will support the creation of Logical and Physical Data Models using normalized (3NF) and dimensional structures. This role is enabling Enterprise Data Analytics and decision-making by adhering to architectural standards, governance best practices, and ensuring data consistency. Collaboration with business stakeholders to define and document business requirements while promoting data modeling best practices across the organization.
Duties and responsibilities<div><ul><li>
Develop Logical and Physical data models for OLAP and OLTP systems.</li></ul><ul><li>
Enforce modeling standards including normalization, denormalization, data transformation, data lineage, and data quality for the Enterprise Data Platform.</li></ul><ul><li>
Transform raw data from multiple sources into actionable insights.</li></ul><ul><li>
Conduct modeling sessions with project teams across business units to gather and define data requirements for the Enterprise Data Models.</li></ul><ul><li>
Collaborate with business and data teams to enhance data models quality and validity for decision support entities.</li></ul><ul><li>
Perform light data analysis and profiling using SQL queries on metadata as needed.</li></ul><ul><li>
Document data models for building reference that includes definitions for business terms and KPIs.
</li></ul><ul><li>Conceptualize complex data schemes while ensuring alignment with modern data architectures like Data Lakehouse.</li></ul><ul><li>
Collaborate with business stakeholders for requirements gathering and ensure alignment of data models with business needs.</li></ul></div>
Job specification
Education
Bachelor's degree from a recognized university in Computer Science, Engineering, or any relevant field.
Experience<div><ul><li>
3 - 5 Years Experience In data modeling, statistical analysis, data manipulation, and ETL.</li><li>
Telecom industry experience is a strong plus</li></ul></div>
Skills and abilities<ul><li>
Strong proficiency of English language spoken and written</li><li>
Advanced level in using SQL for analytics.</li><li>
Knowledgeable in Inmon and Kimball approaches for designing Data Warehouse and Data Mart architectures.</li><li>
Familiar with using Data Build Tool (DBT) and Python.</li><li>
Knowledge of big data ecosystems and trending data platform architectures.</li><li>
Strong analytical mindset with experience in turning business requirements into logical and physical models.</li><li>
Ability to grasp concepts quickly.</li></ul>
</div><div></div><div><h2 class="jobSectionHeader">Contrat
</h2><div>CDI</div></div></div>

SUPERVISOR, DATA MODELING

اورنچ مصر

<div>About the job SUPERVISOR, DATA MODELING
<div>Purpose of the job

A Data Modeler will support the creation of Logical and Physical Data Models using normalized (3NF) and dimensional structures. This role is enabling Enterprise Data Analytics and decision-making by adhering to architectural standards, governance best practices, and ensuring data consistency. Collaboration with business stakeholders to define and document business requirements while promoting data modeling best practices across the organization.

Duties and responsibilities
<div>
<ul><li>Develop Logical and Physical data models for OLAP and OLTP systems.</li></ul>
<ul><li>Enforce modeling standards including normalization, denormalization, data transformation, data lineage, and data quality for the Enterprise Data Platform.</li></ul>
<ul><li>Transform raw data from multiple sources into actionable insights.</li></ul>
<ul><li>Conduct modeling sessions with project teams across business units to gather and define data requirements for the Enterprise Data Models.</li></ul>
<ul><li>Collaborate with business and data teams to enhance data models quality and validity for decision support entities.</li></ul>
<ul><li>Perform light data analysis and profiling using SQL queries on metadata as needed.</li></ul>
<ul><li>Document data models for building reference that includes definitions for business terms and KPIs.
</li></ul><ul><li>Conceptualize complex data schemes while ensuring alignment with modern data architectures like Data Lakehouse.</li></ul>
<ul><li>Collaborate with business stakeholders for requirements gathering and ensure alignment of data models with business needs.</li></ul>
</div>Job specification

Education

Bachelor's degree from a recognized university in Computer Science, Engineering, or any relevant field.

Experience
<div>
<ul><li>3 - 5 Years Experience In data modeling, statistical analysis, data manipulation, and ETL.</li><li>
Telecom industry experience is a strong plus</li></ul></div>

Skills and abilities
<ul>
<li>Strong proficiency of English language spoken and written</li>
<li>Advanced level in using SQL for analytics.</li>
<li>Knowledgeable in Inmon and Kimball approaches for designing Data Warehouse and Data Mart architectures.</li>
<li>Familiar with using Data Build Tool (DBT) and Python.</li>
<li>Knowledge of big data ecosystems and trending data platform architectures.</li>
<li>Strong analytical mindset with experience in turning business requirements into logical and physical models.</li>
<li>Ability to grasp concepts quickly.</li></ul></div></div>

Explore 156+ Data scientist artificial in Giza this September. Find roles across top companies and apply now to boost your career.

156 data scientist artificial jobs IN Giza

Data Scientist - Artificial Intelligence

Data Scientist - Artificial Intelligence

Data Scientist

Data Scientist

Audio Description QC Editor

SUPERVISOR, DATA MODELING

SUPERVISOR, DATA MODELING