118 Natural Language Processing jobs in Saudi Arabia

Overview

Lucidya is seeking an experienced AI Research Lead to spearhead our research initiatives and drive innovation in artificial intelligence. In this role, you will lead a team of AI researchers and data scientists, focusing on developing state-of-the-art machine learning models and algorithms that will enhance our products and services. Your expertise will guide the strategic direction of AI research and ensure alignment with business goals.

As an AI Research Lead, you will be responsible for designing and executing research projects, publishing findings in prestigious conferences and journals, and collaborating with cross-functional teams to implement AI solutions in real-world applications. You will play a critical role in fostering a culture of experimentation and continuous learning within the organization.

• Lead and manage AI research projects from conception through deployment, ensuring high-quality outcomes.
• Stay abreast of the latest advancements in AI and machine learning, incorporating cutting-edge techniques into research.
• Mentor junior researchers and promote knowledge sharing within the team.
• Collaborate with product teams to identify opportunities for AI integration and drive product innovation.
• Publish high-impact research papers and presentations at leading conferences.
• Build strong partnerships with academic institutions and industry leaders to foster collaboration.
• Develop frameworks for evaluating and validating AI models in real-world scenarios.

Lucidya is seeking an experienced AI Research Lead to spearhead our research initiatives and drive innovation in artificial intelligence. In this role, you will lead a team of AI researchers and data scientists, focusing on developing state-of-the-art machine learning models and algorithms that will enhance our products and services. Your expertise will guide the strategic direction of AI research and ensure alignment with business goals.

• Lead and manage AI research projects from conception through deployment, ensuring high-quality outcomes
• Stay abreast of the latest advancements in AI and machine learning, incorporating cutting-edge techniques into research
• Mentor junior researchers and promote knowledge sharing within the team
• Collaborate with product teams to identify opportunities for AI integration and drive product innovation
• Publish high-impact research papers and presentations at leading conferences
• Build strong partnerships with academic institutions and industry leaders to foster collaboration
• Develop frameworks for evaluating and validating AI models in real-world scenarios

• Education
  • A PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field
• Experience
  • 5+ years of experience in AI research, with a proven track record of leading research projects
  • Experience in developing and deploying machine learning models in production environments
  • Familiarity with various AI/machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
  • Proven ability to publish research findings at prominent conferences and journals
• Technical Skills
  • Strong programming skills in Python and experience with data manipulation and statistical analysis
  • Solid understanding of AI concepts, algorithms, and best practices
  • Familiarity with big data technologies such as Hadoop or Spark is a plus
• Soft Skills
  • Excellent communication skills, both written and verbal, for presenting research findings
  • Strong leadership and mentoring abilities
  • Ability to work collaboratively in a team-oriented environment
• Other
  • Willingness to travel for collaboration with research partners and conferences

This is more than just an engineering role—it's an opportunity to shape the infrastructure and technical future of Lucidya. You'll play a key part in scaling our platform, building a strong engineering culture, and delivering technology that empowers companies across the region and beyond.

• Employee Stock Option Plans (ESOP) to give you ownership in the company's success
• Performance-based bonuses to reward your impact and dedication
• Autonomy to lead, innovate, and grow—both personally and professionally

• Mid-Senior level

• Full-time

• Research

• IT Services and IT Consulting

Lucidya is seeking an experienced AI Research Lead to spearhead our research initiatives and drive innovation in artificial intelligence. In this role, you will lead a team of AI researchers and data scientists, focusing on developing state-of-the-art machine learning models and algorithms that will enhance our products and services. Your expertise will guide the strategic direction of AI research and ensure alignment with business goals.

As an AI Research Lead, you will be responsible for designing and executing research projects, publishing findings in prestigious conferences and journals, and collaborating with cross-functional teams to implement AI solutions in real-world applications. You will play a critical role in fostering a culture of experimentation and continuous learning within the organization.

• Lead and manage AI research projects from conception through deployment, ensuring high-quality outcomes.
• Stay abreast of the latest advancements in AI and machine learning, incorporating cutting-edge techniques into research.
• Mentor junior researchers and promote knowledge sharing within the team.
• Collaborate with product teams to identify opportunities for AI integration and drive product innovation.
• Publish high-impact research papers and presentations at leading conferences.
• Build strong partnerships with academic institutions and industry leaders to foster collaboration.
• Develop frameworks for evaluating and validating AI models in real-world scenarios.

• Education:
• A PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• Experience:
• 5+ years of experience in AI research, with a proven track record of leading research projects.
• Experience in developing and deploying machine learning models in production environments.
• Familiarity with various AI/machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• Proven ability to publish research findings at prominent conferences and journals.
• Technical Skills:
• Strong programming skills in Python and experience with data manipulation and statistical analysis.
• Solid understanding of AI concepts, algorithms, and best practices.
• Familiarity with big data technologies such as Hadoop or Spark is a plus.
• Soft Skills:
• Excellent communication skills, both written and verbal, for presenting research findings.
• Strong leadership and mentoring abilities.
• Ability to work collaboratively in a team-oriented environment.
• Other:
• Willingness to travel for collaboration with research partners and conferences.

This is more than just an engineering role—it’s an opportunity to shape the infrastructure and technical future of Lucidya . You’ll play a key part in scaling our platform, building a strong engineering culture, and delivering technology that empowers companies across the region and beyond.

We offer Employee Stock Option Plans (ESOP) to give you ownership in the company’s success, along with performance-based bonuses to reward your impact and dedication. As part of a fast-growing team, you’ll have the autonomy to lead, innovate, and grow—both personally and professionally.

Lucidya is seeking an experienced AI Research Lead to spearhead our research initiatives and drive innovation in artificial intelligence. In this role, you will lead a team of AI researchers and data scientists, focusing on developing state-of-the-art machine learning models and algorithms that will enhance our products and services. Your expertise will guide the strategic direction of AI research and ensure alignment with business goals.

• Lead and manage AI research projects from conception through deployment, ensuring high-quality outcomes
• Stay abreast of the latest advancements in AI and machine learning, incorporating cutting-edge techniques into research
• Mentor junior researchers and promote knowledge sharing within the team
• Collaborate with product teams to identify opportunities for AI integration and drive product innovation
• Publish high-impact research papers and presentations at leading conferences
• Build strong partnerships with academic institutions and industry leaders to foster collaboration
• Develop frameworks for evaluating and validating AI models in real-world scenarios

• Education
  • A PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field
• Experience
  • 5+ years of experience in AI research, with a proven track record of leading research projects
  • Experience in developing and deploying machine learning models in production environments
  • Familiarity with various AI/machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
  • Proven ability to publish research findings at prominent conferences and journals
• Technical Skills
  • Strong programming skills in Python and experience with data manipulation and statistical analysis
  • Solid understanding of AI concepts, algorithms, and best practices
  • Familiarity with big data technologies such as Hadoop or Spark is a plus
• Soft Skills
  • Excellent communication skills, both written and verbal, for presenting research findings
  • Strong leadership and mentoring abilities
  • Ability to work collaboratively in a team-oriented environment
• Other
  • Willingness to travel for collaboration with research partners and conferences

This is more than just an engineering role-it's an opportunity to shape the infrastructure and technical future of Lucidya. You'll play a key part in scaling our platform, building a strong engineering culture, and delivering technology that empowers companies across the region and beyond.

• Employee Stock Option Plans (ESOP) to give you ownership in the company's success
• Performance-based bonuses to reward your impact and dedication
• Autonomy to lead, innovate, and grow-both personally and professionally

• Mid-Senior level

• Full-time

• Research

• IT Services and IT Consulting

In this role, you will be utilizing Python programming, statistical analysis, machine learning, and data visualization to derive meaningful insights from data. Critical thinking and problem-solving skills are essential for analyzing complex data sets effectively. Effective communication and collaboration with teams are crucial in driving data-based decision-making. The company's culture values ownership, encouraging individuals to take initiative and responsibility for their work. The role focuses on transforming raw data into actionable solutions, requiring a blend of technical expertise and strategic thinking. Data scientists play a key role in shaping the future of the business through data-driven strategies and innovative problem-solving approaches. This position offers a dynamic environment where creativity and analytics converge to drive meaningful business outcomes.

Skills

Master-Works is looking for a skilled Data Scientist with over 3 years of experience to enhance our analytics team. In this role, you will dive deep into data analysis and apply your knowledge of machine learning and statistical techniques to drive business outcomes and support our strategic initiatives.

Key Responsibilities:

• Design and develop robust data models and algorithms to tackle complex business issues.
• Perform extensive data analysis to identify insights, patterns, and trends from various data sources.
• Implement predictive analytics using machine learning and statistical methods to enhance decision-making.
• Collaborate with cross-functional teams to translate business requirements into analytical solutions.
• Communicate findings and actionable insights clearly to stakeholders at all levels.

Join Master-Works to play a pivotal role in leveraging data as a strategic asset and driving our organization forward through data-driven insights.

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field.
• 3+ years of experience in data science, analytics, or a related field.
• Proficient in programming languages such as Python, R, or SQL.
• Experience with machine learning frameworks and libraries (e.g., TensorFlow, Scikit-learn).
• Strong skills in data visualization tools, such as Tableau or Power BI.
• Solid understanding of statistical analysis and modeling techniques.
• Effective problem-solving skills and attention to detail.
• Strong communication skills to convey complex data concepts to non-technical audiences.

Müller's Solutions is looking for an experienced Data Scientist to join our dynamic team. In this position, you will leverage your analytical and programming skills to transform data into actionable insights that drive business decisions. You will collaborate closely with various departments to develop predictive models, enhance data-driven strategies, and optimize processes using cutting-edge data science techniques.

Responsibilities:

• Analyze vast amounts of structured and unstructured data to derive insights and generate actionable recommendations
• Develop, implement, and maintain machine learning models to address specific business needs
• Work alongside stakeholders to define project objectives and translate business requirements into technical tasks
• Conduct experiments and validate analytical models using appropriate methodologies
• Create data visualizations and dashboards to effectively communicate technical findings and results to non-technical stakeholders
• Stay abreast of industry trends and emerging technologies in data science and analytics
• Ensure data integrity and adherence to data governance principles
• Mentor junior data analysts and provide guidance on data science best practices
  
  

• Bachelor's or Master's degree in Data Science, Computer Science, Mathematics, Statistics, or a related field
• Proven experience as a Data Scientist or in a similar data-focused role
• Proficient in programming languages such as Python or R, with demonstrated experience in data manipulation and analysis
• Experience with machine learning frameworks and libraries (e.g., scikit-learn, TensorFlow, PyTorch)
• Strong skills in data visualization tools (e.g., Tableau, Power BI) for developing clear and actionable insights
• Strong understanding of statistical methods, modeling techniques, and their practical applications
• Proficient in SQL for data extraction and manipulation
• Excellent analytical thinking and problem-solving abilities
• Strong communication skills, with the ability to convey complex technical concepts in an understandable manner
• Ability to work both independently and collaboratively within a team
  
  

Job Summary

We are looking for a Data Scientist to analyze large amounts of raw information to find patterns that will help improve our company. We will rely on you to build data products to extract valuable business insights.

In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research.

• Identify valuable data sources and automate collection processes
• Undertake preprocessing of structured and unstructured data
• Analyze large amounts of information to discover trends and patterns
• Build predictive models and machine-learning algorithms
• Combine models through ensemble modeling
• Present information using data visualization techniques
• Propose solutions and strategies to business challenges
• Collaborate with engineering and product development teams

• Proven experience as a Data Scientist
• Experience in data mining
• Understanding of machine-learning and operations research
• Knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset
• Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop)
• Analytical mind and business acumen
• Strong math skills (e.g. statistics, algebra)
• Problem-solving aptitude
• Excellent communication and presentation skills
• BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or other quantitative field is preferred

Bachelors in Computer Application(Computers)

Nationality

Any Nationality

Vacancy

1 Vacancy

Job Description

We are looking for a Data Scientist to design and develop Machine Learning (ML) models in different domains to find patterns from wide-variety types and large amounts of datasets. You will use mainly Deep Learning techniques (and other ML techniques) to solve different problems in Recommendation Engines, Chatbots, Natural Language Processing (NLP) and other domains. We will rely on you to build data products to extract valuable business insights. In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research. Your goal will be to help our company analyze trends to make better decisions.

We are looking for a Data Scientist to design and develop Machine Learning (ML) models in different domains to find patterns from wide-variety types and large amounts of datasets. You will use mainly Deep Learning techniques (and other ML techniques) to solve different problems in Recommendation Engines, Chatbots, Natural Language Processing (NLP) and other domains. We will rely on you to build data products to extract valuable business insights. In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research. Your goal will be to help our company analyze trends to make better decisions.

• Analyze raw data: assessing quality, cleansing, preprocessing, structuring for downstream processing.
• Conduct research and development activities, data exploration and discovery using Data Science and Machine Learning (ML) practices.
• Develop, apply, test and implement Data Science and ML models for a wide variety of datasets gathered from different data sources such as Online market places, e-commerce platforms, social media, and web sources.
• Design and develop accurate and scalable ML models in different domains and applications, which include, but not limited to, Recommendation engines, Chatbots, NLP, text mining, text-based feature selection/representation, optimization and predictive modeling.
• Utilize a variety of tools and approaches to solve complex business objectives, from Recommendation Engines, Chatbots, Natural Language Processing (NLP), Machine Learning/ Deep Learning, Image Processing, Speech Processing, Rule-Based Learning and Knowledge Graphs.
• Design new service offerings and solutions in E-Commerce and different fields.
• Keep up to date with latest trends and technologies in the data science and ML fields.
• Work closely with Data Engineers in data related requests, and Data Quality Assurance Officers in data integrity issues.
• Work closely with Business Analysts and product development teams to understand and implement their requirements.
• Collaborate with big data and software developers to translate ideas, models and prototypes into full-fledged solutions.
• Work closely with cross-functional teams to identify challenges and problems and suggest potential AI solutions.

Desired Candidate Profile

• Bachelor's degree in quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.); graduate degree in Data Science or other quantitative field is preferred.
• At least 2 - 4 years' of experience as a data scientist (quantitative analytics and data modeling).
• Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms.
• Experience in ML applications and domains (Recommendation Engines, NLP, Language Models and Chatbots experience is preferred).
• Experience in Deep Learning algorithms and techniques.
• Proficiency in Python (other languages such as Shell Scripts, C++, .Net, Java, Matlab, R,.etc are preferred).-
• Experience in Python libraries (Tensorflow, Keras, Pandas, Sklearn).
• Excellent in Algorithms and Object-Oriented programming.
• Familiarity with database technology (design and implementation) and query language.
• Familiarity with Big Data frameworks and visualization tools (ElasticSearch, Cassandra, Hadoop, Spark) is preferred.
• Strong organizational and project management skills.
• Good problem-solving skills.
• Excellent communication and presentation skills
• Medical Health Insurance
• Performance Bonus
• Others

Company Industry

• Internet
• E-commerce
• Dotcom

Department / Functional Area

• IT Software

Keywords

• Data Scientist

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