45 Ml Engineer jobs in Saudi Arabia

Mid

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

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info_outline

info_outline X Please note: Applicants to this role must have work authorization in Saudi Arabia as this role is not eligible for work visa sponsorship

• Bachelor's degree or equivalent practical experience.
• 6 years of experience with cloud native architecture in a customer-facing or support role.
• Experience engaging with, and presenting to, technical stakeholders and executive leaders.
  
• Experience with Machine Learning model development and deployment.
• Experience with frameworks for deep learning (e.g., PyTorch, Tensorflow, Jax, Ray, etc.) and using machine learning APIs.

Preferred qualifications:

• Master's degree in Computer Science, Engineering, Mathematics, a related technical field, or equivalent practical experience.
• Experience in building machine learning solutions and leveraging specific machine learning architectures (e.g., deep learning, LSTM, convolutional networks).
• Experience in architecting and developing software or infrastructure for scalable, distributed systems.
• Experience in data and information management as it relates to big data trends and issues within businesses.
• Ability to learn quickly, understand, and work with new emerging technologies, methodologies, and solutions in the cloud/IT technology space.

About the job

When leading companies choose Google Cloud, it's a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You listen and deliver what is most helpful for the customer. You assist fellow sales Googlers by problem-solving key technical issues for our customers. You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products.

As a Customer Engineer, you will partner with technical Sales teams as a subject matter expert in Artificial Intelligence and Machine Learning (AI/ML) to differentiate Google Cloud to our customers. You will help prospective and existing customers and partners understand the power of Google Cloud, develop creative cloud solutions and architectures to solve their business issues, engage in proofs of concepts, and troubleshoot any technical questions and roadblocks. You will use your expertise and presentation skills to engage with customers to understand their business and technical requirements, and persuasively present practical and useful solutions on Google Cloud. You will have excellent technical, communication and organizational skills. You will partner with internal engineering stakeholders to improve products and build solutions, optimizing for results when in production and identifying innovative ways to multiply our impact and the impact of the team as a whole.

In this role, you will be part of a team of fellow Googlers working in an environment of respect where we promote equal opportunities to succeed.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’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.

About the job

When leading companies choose Google Cloud, it's a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You listen and deliver what is most helpful for the customer. You assist fellow sales Googlers by problem-solving key technical issues for our customers. You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products.

As a Customer Engineer, you will partner with technical Sales teams as a subject matter expert in Artificial Intelligence and Machine Learning (AI/ML) to differentiate Google Cloud to our customers. You will help prospective and existing customers and partners understand the power of Google Cloud, develop creative cloud solutions and architectures to solve their business issues, engage in proofs of concepts, and troubleshoot any technical questions and roadblocks. You will use your expertise and presentation skills to engage with customers to understand their business and technical requirements, and persuasively present practical and useful solutions on Google Cloud. You will have excellent technical, communication and organizational skills. You will partner with internal engineering stakeholders to improve products and build solutions, optimizing for results when in production and identifying innovative ways to multiply our impact and the impact of the team as a whole.

In this role, you will be part of a team of fellow Googlers working in an environment of respect where we promote equal opportunities to succeed.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’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

• Work with the team to identify and qualify business opportunities, understand key customer technical objections, and develop the strategy to resolve technical blockers.
• Share in-depth Artificial Intelligence/Machine Learning (AI/ML) expertise to support the technical relationship with customers, including technology advocacy, supporting bid responses, product and solution briefings, proof-of-concept work, and partnering directly with product management to prioritize solutions impacting customer adoption to Google Cloud.
• Workdirectlywith Google Cloud products to demonstrate and prototype integrations in customer and partner environments.
• Recommend integration strategies, enterprise architectures, platforms, and application infrastructure required to successfully implement a complete solution on Google Cloud.
• This is a customer-facing role that requires interactions in Arabic with local stakeholders.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

#J-18808-Ljbffr

Mid

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

Apply

• link Copy link

info_outline

info_outline X Please note: Applicants to this role must have work authorization in Saudi Arabia as this role is not eligible for work visa sponsorship

• Bachelor's degree or equivalent practical experience.
• 6 years of experience with cloud native architecture in a customer-facing or support role.
• Experience engaging with, and presenting to, technical stakeholders and executive leaders.
  
• Experience with Machine Learning model development and deployment.
• Experience with frameworks for deep learning (e.g., PyTorch, Tensorflow, Jax, Ray, etc.) and using machine learning APIs.

Preferred qualifications:

• Master's degree in Computer Science, Engineering, Mathematics, a related technical field, or equivalent practical experience.
• Experience in building machine learning solutions and leveraging specific machine learning architectures (e.g., deep learning, LSTM, convolutional networks).
• Experience in architecting and developing software or infrastructure for scalable, distributed systems.
• Experience in data and information management as it relates to big data trends and issues within businesses.
• Ability to learn quickly, understand, and work with new emerging technologies, methodologies, and solutions in the cloud/IT technology space.

About the job

When leading companies choose Google Cloud, it's a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You listen and deliver what is most helpful for the customer. You assist fellow sales Googlers by problem-solving key technical issues for our customers. You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products.

As a Customer Engineer, you will partner with technical Sales teams as a subject matter expert in Artificial Intelligence and Machine Learning (AI/ML) to differentiate Google Cloud to our customers. You will help prospective and existing customers and partners understand the power of Google Cloud, develop creative cloud solutions and architectures to solve their business issues, engage in proofs of concepts, and troubleshoot any technical questions and roadblocks. You will use your expertise and presentation skills to engage with customers to understand their business and technical requirements, and persuasively present practical and useful solutions on Google Cloud. You will have excellent technical, communication and organizational skills. You will partner with internal engineering stakeholders to improve products and build solutions, optimizing for results when in production and identifying innovative ways to multiply our impact and the impact of the team as a whole. In this role, you will be part of a team of fellow Googlers working in an environment of respect where we promote equal opportunities to succeed. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’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. About the job

When leading companies choose Google Cloud, it's a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You listen and deliver what is most helpful for the customer. You assist fellow sales Googlers by problem-solving key technical issues for our customers. You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products.

As a Customer Engineer, you will partner with technical Sales teams as a subject matter expert in Artificial Intelligence and Machine Learning (AI/ML) to differentiate Google Cloud to our customers. You will help prospective and existing customers and partners understand the power of Google Cloud, develop creative cloud solutions and architectures to solve their business issues, engage in proofs of concepts, and troubleshoot any technical questions and roadblocks. You will use your expertise and presentation skills to engage with customers to understand their business and technical requirements, and persuasively present practical and useful solutions on Google Cloud. You will have excellent technical, communication and organizational skills. You will partner with internal engineering stakeholders to improve products and build solutions, optimizing for results when in production and identifying innovative ways to multiply our impact and the impact of the team as a whole. In this role, you will be part of a team of fellow Googlers working in an environment of respect where we promote equal opportunities to succeed. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’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

• Work with the team to identify and qualify business opportunities, understand key customer technical objections, and develop the strategy to resolve technical blockers.
• Share in-depth Artificial Intelligence/Machine Learning (AI/ML) expertise to support the technical relationship with customers, including technology advocacy, supporting bid responses, product and solution briefings, proof-of-concept work, and partnering directly with product management to prioritize solutions impacting customer adoption to Google Cloud.
• Workdirectlywith Google Cloud products to demonstrate and prototype integrations in customer and partner environments.
• Recommend integration strategies, enterprise architectures, platforms, and application infrastructure required to successfully implement a complete solution on Google Cloud.
• This is a customer-facing role that requires interactions in Arabic with local stakeholders.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

#J-18808-Ljbffr

Please note: Applicants to this role must have work authorization in Saudi Arabia as this role is not eligible for work visa sponsorship
**Minimum qualifications:**
+ Bachelor's degree or equivalent practical experience.
+ 6 years of experience with cloud native architecture in a customer-facing or support role.
+ Experience engaging with, and presenting to, technical stakeholders and executive leaders.
+ Experience with Machine Learning model development and deployment.
+ Experience with frameworks for deep learning (e.g., PyTorch, Tensorflow, Jax, Ray, etc.) and using machine learning APIs.
**Preferred qualifications:**
+ Master's degree in Computer Science, Engineering, Mathematics, a related technical field, or equivalent practical experience.
+ Experience in building machine learning solutions and leveraging specific machine learning architectures (e.g., deep learning, LSTM, convolutional networks).
+ Experience in architecting and developing software or infrastructure for scalable, distributed systems.
+ Experience in data and information management as it relates to big data trends and issues within businesses.
+ Ability to learn quickly, understand, and work with new emerging technologies, methodologies, and solutions in the cloud/IT technology space.
When leading companies choose Google Cloud, it's a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You listen and deliver what is most helpful for the customer. You assist fellow sales Googlers by problem-solving key technical issues for our customers. You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products.
As a Customer Engineer, you will partner with technical Sales teams as a subject matter expert in Artificial Intelligence and Machine Learning (AI/ML) to differentiate Google Cloud to our customers. You will help prospective and existing customers and partners understand the power of Google Cloud, develop creative cloud solutions and architectures to solve their business issues, engage in proofs of concepts, and troubleshoot any technical questions and roadblocks. You will use your expertise and presentation skills to engage with customers to understand their business and technical requirements, and persuasively present practical and useful solutions on Google Cloud. You will have excellent technical, communication and organizational skills. You will partner with internal engineering stakeholders to improve products and build solutions, optimizing for results when in production and identifying innovative ways to multiply our impact and the impact of the team as a whole.
In this role, you will be part of a team of fellow Googlers working in an environment of respect where we promote equal opportunities to succeed.
Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google'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:**
+ Work with the team to identify and qualify business opportunities, understand key customer technical objections, and develop the strategy to resolve technical blockers.
+ Share in-depth Artificial Intelligence/Machine Learning (AI/ML) expertise to support the technical relationship with customers, including technology advocacy, supporting bid responses, product and solution briefings, proof-of-concept work, and partnering directly with product management to prioritize solutions impacting customer adoption to Google Cloud.
+ Work directly with Google Cloud products to demonstrate and prototype integrations in customer and partner environments.
+ Recommend integration strategies, enterprise architectures, platforms, and application infrastructure required to successfully implement a complete solution on Google Cloud.
+ This is a customer-facing role that requires interactions in Arabic with local stakeholders.
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 and If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form:

As a Senior Machine Learning Engineer specializing, you will lead the development and implementation of machine learning algorithms and models to enhance our mapping and location-based services. You will be responsible for leveraging machine learning techniques to extract insights, automate processes, and improve the accuracy and relevance of our map data.

Key Responsibilities:

1. Algorithm Development: Lead the design, development, and optimization of machine learning algorithms and models for various mapping applications, including data analysis, feature extraction, image processing, and predictive modeling.
2. Data Processing and Analysis: Collaborate with data engineers to preprocess, clean, and analyze map data, including satellite imagery, LiDAR data, and point cloud data, to extract relevant features and patterns.
3. Model Training and Evaluation: Train, validate, and evaluate machine learning models using large-scale datasets to achieve high accuracy, robustness, and scalability for mapping applications, such as road detection, object recognition, and semantic segmentation.
4. Integration and Deployment: Integrate machine learning models into existing mapping systems and workflows, ensuring seamless deployment and interoperability with other software components. Collaborate with software engineers to develop APIs and interfaces for model integration.
5. Performance Optimization: Optimize machine learning algorithms and models for performance, efficiency, and scalability, including algorithm parallelization, hardware acceleration, and deployment on cloud platforms.
6. Research and Innovation: Stay updated on the latest advancements in machine learning, computer vision, and geospatial technologies, and apply innovative techniques to solve mapping-related challenges and drive continuous improvement.

Qualifications:

• Master's or Ph.D. degree in computer science, machine learning, artificial intelligence, or a related field.
• 5 years of experience in machine learning research and development, with a focus on computer vision, geospatial analysis, or mapping applications.
• Proficiency in machine learning frameworks and libraries, such as TensorFlow, PyTorch, and OpenCV.
• Strong programming skills in Python, C++, or another relevant language, with experience in software development and version control systems.
• Experience with geospatial data processing and analysis tools, such as GDAL, PostGIS, and QGIS.
• Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions.
• Effective communication and leadership skills, with experience mentoring junior team members and collaborating with cross-functional teams.

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Who are we?

Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.

We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.

Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.

Join us on our mission and shape the future!

Why this role?

As a Software Engineer on our Applied ML team you will work directly with customers to quickly understand their greatest problems and design and implement solutions using Cohere's stack.

In this role, you’ll apply your problem-solving ability, creativity, and technical skills to close the last-mile gap in Enterprise AI adoption. You’ll be able to deliver products like early startup CTOs/CEOs do and disrupt some of the most important industries and institutions globally!

In this role, you will:

• Own and build large new areas within our product.

  
  

• Work across the backend, frontend, and interact with Large Language Models.

  
  

• Experiment at a high velocity and level of quality to engage our customers and eventually deliver solutions that exceed their expectations.

  
  

• Work across the entire product lifecycle from conceptualisation through production.

  
  

This career opportunity may be a good match for you if you have:

• Proficiency in one or more of Go, Python, Node, React, Next.js.

  
  

• Experience building ML infrastructure and AI-powered solutions.

  
  

• Background in developing language models using frameworks like Lang Chain and evaluating their performance using tools such as the Llama Index.

  
  

• A track record in scaling products at hyper-growth startups.

  
  

• Strong written and verbal communication skills.

  
  

• Ability and interest to travel up to 25%, as needed to client sites, but flexible based on personal preferences.

  
  

Nice to have skills/experiences:

• Experience building LLM applications using tools such as Langchain.

  
  

• Experience in Information Retrieval systems for document question answering.

  
  

• Experience in day-to-day NLP for the industry using Python and related toolchains (SpaCy, HuggingFace, NLTK, etc.).

  
  

If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you want to work really hard on a glorious mission with teammates that want the same thing, Cohere is the place for you.

We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.

Full-Time Employees at Cohere enjoy these Perks:

An open and inclusive culture and work environment

Work closely with a team on the cutting edge of AI research

Weekly lunch stipend, in-office lunches & snacks

Full health and dental benefits, including a separate budget to take care of your mental health

100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK

Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement

Remote-flexible, offices in Toronto, New York, San Francisco and London and co-working stipend

️ 6 weeks of vacation

Note: This post is co-authored by both Cohere humans and Cohere technology.

#J-18808-Ljbffr

Who are we?

Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.

We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.

Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.

Join us on our mission and shape the future!

Why this role?

As a Software Engineer on our Applied ML team you will work directly with customers to quickly understand their greatest problems and design and implement solutions using Cohere's stack.

In this role, you’ll apply your problem-solving ability, creativity, and technical skills to close the last-mile gap in Enterprise AI adoption. You’ll be able to deliver products like early startup CTOs/CEOs do and disrupt some of the most important industries and institutions globally!

In this role, you will:

• Own and build large new areas within our product.

• Work across the backend, frontend, and interact with Large Language Models.

• Experiment at a high velocity and level of quality to engage our customers and eventually deliver solutions that exceed their expectations.

• Work across the entire product lifecycle from conceptualisation through production.

This career opportunity may be a good match for you if you have:

• Proficiency in one or more of Go, Python, Node, React, Next.js.

• Experience building ML infrastructure and AI-powered solutions.

• Background in developing language models using frameworks like Lang Chain and evaluating their performance using tools such as the Llama Index.

• A track record in scaling products at hyper-growth startups.

• Strong written and verbal communication skills.

• Ability and interest to travel up to 25%, as needed to client sites, but flexible based on personal preferences.

Nice to have skills/experiences:

• Experience building LLM applications using tools such as Langchain.

• Experience in Information Retrieval systems for document question answering.

• Experience in day-to-day NLP for the industry using Python and related toolchains (SpaCy, HuggingFace, NLTK, etc.).

If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you want to work really hard on a glorious mission with teammates that want the same thing, Cohere is the place for you.

We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.

Full-Time Employees at Cohere enjoy these Perks:

An open and inclusive culture and work environment

Work closely with a team on the cutting edge of AI research

Weekly lunch stipend, in-office lunches & snacks

Full health and dental benefits, including a separate budget to take care of your mental health

100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK

Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement

Remote-flexible, offices in Toronto, New York, San Francisco and London and co-working stipend

️ 6 weeks of vacation

Note: This post is co-authored by both Cohere humans and Cohere technology.

#J-18808-Ljbffr

About the team:

Hudhud Maps Data Science team’s mission is to harness the power of data to build intelligent solutions that elevate the user experience, optimize decision-making, and improve operational efficiencies. As a leader in this team, you will be at the forefront of using cutting-edge AI and machine learning models to solve complex challenges in the MENA region. You’ll work with and hire some of the brightest data science talent, leveraging state-of-the-art technologies such as machine learning, optimization, deep learning, and NLP to transform how cities are mapped and navigated, all while driving real-time impact through our in-house AI and data infrastructure.

What you will do:

• Develop a vision and thought leadership in the space of mapping and location-based intelligence, gaining deep expertise in this domain.
• Define a clear roadmap for the data science teams, ensuring alignment with both product and business goals, while driving team growth and development.
• Lead and scale a distributed Data Science team, collaborating with cross-functional teams to solve challenges in multiple subdomains, including POI (Points of Interest) collection and enrichment, road and map features generation, search, personalization and real-time navigation.
• Develop innovative AI models and data strategies to solve previously unsolvable problems, unlocking new opportunities for Hudhud Maps to deliver exceptional value to users.
• Collaborate with leadership to ensure data science initiatives directly contribute to the company’s strategic goals and have a meaningful impact on the organization.
• Partner with engineering and product teams to deliver major cross-functional projects that push the boundaries of mapping technology.
• Reimagine and reinvent how mapping and navigation are experienced in the region using AI-driven approaches.
• Foster collaboration with external AI communities, universities, and the broader tech ecosystem in the MENA region to raise the bar for applied AI.

What you will need:

• An advanced degree in a quantitative field such as computer science, statistics, economics, or mathematics.
• At least 8+ years of professional experience working in data science and machine learning teams.
• Strong experience in building, managing, and growing data science teams is essential.
• A proven track record of delivering high-impact AI solutions and successfully leading cross-functional projects.
• Experience launching new products and continuously improving them over time.
• Demonstrated ability to attract, retain, and nurture top-tier talent.
• A passion for fostering a culture of ownership, collaboration, and results.
• Excellent leadership, communication, critical thinking, and judgment skills.
• A strong motivation to make an impact and elevate the AI landscape in the region.

#J-18808-Ljbffr

3 weeks ago Be among the first 25 applicants

SWATX is seeking a highly skilled and experienced Data Science Manager to lead our growing data science team. In this strategic role, you will be responsible for overseeing the development and implementation of data-driven solutions to solve complex business challenges. You will mentor and guide a team of data scientists, driving innovation and excellence in analytics and machine learning. If you are a strong leader with a passion for data science and a proven track record of delivering impactful solutions, we invite you to join us.

Responsibilities:

• Lead and mentor a team of data scientists, providing guidance on best practices in data analysis, machine learning, and statistical modeling
• Develop and execute the data science strategy aligned with business objectives, ensuring that data-driven insights are integrated into decision-making processes
• Oversee the design and implementation of innovative data science projects that drive value for the organization
• Collaborate with cross-functional teams to identify opportunities for leveraging data to improve products, services, and operational efficiency
• Build and maintain strong relationships with stakeholders, understanding their data needs and ensuring timely delivery of insights
• Monitor and evaluate the performance of data science models and adjust strategies as necessary to achieve desired results
• Promote a data-driven culture within the organization by communicating the value of data science initiatives to stakeholders at all levels
• Stay updated on the latest trends and developments in data science and analytics, and integrate new methodologies and tools as appropriate
  
  

Requirements

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field
• Proven experience in a data science role, with at least 5+ years of experience, including 2+ years in a managerial or leadership position
• Strong proficiency in programming languages such as Python, R, and experience with data manipulation and analysis libraries
• Solid understanding of machine learning algorithms, statistical methodologies, and data modeling techniques
• Experience with data visualization tools (e.g., Tableau, Power BI) to communicate findings effectively
• Excellent project management skills and ability to prioritize tasks in a fast-paced environment
• Strong analytical and problem-solving skills with attention to detail
• Exceptional communication skills, both verbal and written, in English and Arabic
• Proven capability to drive collaboration across teams and influence senior stakeholders
  
  

Preferable Certificates:

• Certified Data Scientist (CDS)
• Microsoft Certified: Azure Data Scientist Associate
• Google Cloud Professional Data Engineer

Seniority level

• Seniority level Mid-Senior level

Employment type

• Employment type Full-time

Job function

• Job function Information Technology
• Industries IT Services and IT Consulting

Referrals increase your chances of interviewing at SWATX by 2x

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About the team:

Hudhud Maps Data Science team’s mission is to harness the power of data to build intelligent solutions that elevate the user experience, optimize decision-making, and improve operational efficiencies. As a leader in this team, you will be at the forefront of using cutting-edge AI and machine learning models to solve complex challenges in the MENA region. You’ll work with and hire some of the brightest data science talent, leveraging state-of-the-art technologies such as machine learning, optimization, deep learning, and NLP to transform how cities are mapped and navigated, all while driving real-time impact through our in-house AI and data infrastructure.

What you will do:

• Develop a vision and thought leadership in the space of mapping and location-based intelligence, gaining deep expertise in this domain.
• Define a clear roadmap for the data science teams, ensuring alignment with both product and business goals, while driving team growth and development.
• Lead and scale a distributed Data Science team, collaborating with cross-functional teams to solve challenges in multiple subdomains, including POI (Points of Interest) collection and enrichment, road and map features generation, search, personalization and real-time navigation.
• Develop innovative AI models and data strategies to solve previously unsolvable problems, unlocking new opportunities for Hudhud Maps to deliver exceptional value to users.
• Collaborate with leadership to ensure data science initiatives directly contribute to the company’s strategic goals and have a meaningful impact on the organization.
• Partner with engineering and product teams to deliver major cross-functional projects that push the boundaries of mapping technology.
• Reimagine and reinvent how mapping and navigation are experienced in the region using AI-driven approaches.
• Foster collaboration with external AI communities, universities, and the broader tech ecosystem in the MENA region to raise the bar for applied AI.

What you will need:

• An advanced degree in a quantitative field such as computer science, statistics, economics, or mathematics.
• At least 8+ years of professional experience working in data science and machine learning teams.
• Strong experience in building, managing, and growing data science teams is essential.
• A proven track record of delivering high-impact AI solutions and successfully leading cross-functional projects.
• Experience launching new products and continuously improving them over time.
• Demonstrated ability to attract, retain, and nurture top-tier talent.
• A passion for fostering a culture of ownership, collaboration, and results.
• Excellent leadership, communication, critical thinking, and judgment skills.
• A strong motivation to make an impact and elevate the AI landscape in the region.

#J-18808-Ljbffr