39 AI Engineers jobs in Qatar
DevOps with AI Development
Posted today
Job Viewed
Job Description
Nair Systems
is currently looking
DevOps with AI Development
for our
Qatar
operations with the following terms & conditions.
Requirements:
·
Should have experience in DevOps with AI Development and with AI Tools Experience for Automation.
· Possess strong DevOps skills (CI/CD, cloud, IAC, containers), and
· Have hands-on experience with AI agent frameworks, LLMs, chatbot development, or automation using AI tools (e.g., OpenAI, Vertex AI, Azure OpenAI).
Joining time frame:
2 weeks (maximum 1 month)
Should you be interested in this opportunity, please send your latest resume in MS Word format at the earliest
AI Business Development Manager
Posted today
Job Viewed
Job Description
Role & responsibilities
We are seeking a dynamic and highly motivated AI Business Development Manager who will play a pivotal role in driving AI-led digital transformation for our clients. This role demands a unique blend of business acumen, customer engagement, and deep understanding of the latest trends in Artificial Intelligence (AI), Machine Learning (ML), and Data Science.
The ideal candidate will engage directly with enterprise and government customers to understand their business challenges, identify opportunities for AI intervention, and translate those into high-impact, real-world AI solutions and use cases.
Customer Engagement & Opportunity Discovery
- Meet with key stakeholders across industries to understand their business models, challenges, and pain points.
- Conduct detailed needs assessments to uncover process inefficiencies, gaps, and areas where AI can drive measurable value.
- Act as a trusted advisor to CXOs, department heads, and technical decision-makers on AI adoption.
Use Case Ideation & Solutioning
- Co-create and develop AI-driven use cases tailored to customer-specific problems (e.g., predictive analytics, computer vision, NLP, generative AI).
- Collaborate with AI architects and data science teams to evaluate feasibility and scope of solutions.
- Translate business requirements into technical solution briefs, PoC proposals, and value propositions.
Business Development & Go-to-Market Execution
- Own and drive the AI sales funnel from lead generation to deal closure.
- Collaborate with cross-functional teams (Sales, Pre-Sales, Product, Delivery) to develop proposals, RFIs/RFPs, and pricing models.
- Prepare compelling presentations and demos to articulate the power of AI solutions in solving business problems.
Market & Trend Intelligence
- Stay abreast of the latest AI/ML trends, emerging technologies (e.g., GenAI, LLMs, Edge AI), and industry benchmarks.
- Continuously scout the market for innovative AI use cases and competitor activities.
- Provide strategic inputs for refining our AI portfolio, industry focus, and solution roadmap.
Qualifications
- Bachelor's or Master's degree in Business, Computer Science, Data Science, or related field.
- 5+ years of experience in business development, solution consulting, or customer-facing AI roles.
- Proven experience in identifying and converting AI/Data opportunities into revenue-generating projects.
- Strong understanding of AI technologies: Generative AI, LLMs, ML Ops, NLP, Computer Vision, Predictive Modeling, etc.
- Excellent communication, storytelling, and presentation skills.
- Ability to engage both technical and non-technical stakeholders with equal ease.
Preferred Skills
- Knowledge/Experience working with platforms like Azure AI, Dataiku, or C3 AI, Cohere, Open Source AI frameworks and Data platforms like Cloudera, Snowflake etc.
- Knowledge of industry-specific AI applications in sectors like healthcare, finance, manufacturing, public sector, etc. is very important.
- Prior experience in a consulting, IT services, or AI-focused organization is a strong plus.
AI Business Development Manager
Posted today
Job Viewed
Job Description
We are seeking a dynamic and highly motivated AI Business Development Manager who will play a pivotal role in driving AI-led digital transformation for our clients. This role demands a unique blend of business acumen, customer engagement, and deep understanding of the latest trends in Artificial Intelligence (AI), Machine Learning (ML), and Data Science.
The ideal candidate will engage directly with enterprise and government customers to understand their business challenges, identify opportunities for AI intervention, and translate those into high-impact, real-world AI solutions and use cases.
Key Responsibilities
Customer Engagement & Opportunity Discovery
• Meet with key stakeholders across industries to understand their business models, challenges, and pain points.
• Conduct detailed needs assessments to uncover process inefficiencies, gaps, and areas where AI can drive measurable value.
• Act as a trusted advisor to CXOs, department heads, and technical decision-makers on AI adoption.
Use Case Ideation & Solutioning
• Co-create and develop AI-driven use cases tailored to customer-specific problems (e.g., predictive analytics, computer vision, NLP, generative AI).
• Collaborate with AI architects and data science teams to evaluate feasibility and scope of solutions.
• Translate business requirements into technical solution briefs, PoC proposals, and value propositions.
Business Development & Go-to-Market Execution
• Own and drive the AI sales funnel — from lead generation to deal closure.
• Collaborate with cross-functional teams (Sales, Pre-Sales, Product, Delivery) to develop proposals, RFIs/RFPs, and pricing models.
• Prepare compelling presentations and demos to articulate the power of AI solutions in solving business problems.
Market & Trend Intelligence
• Stay abreast of the latest AI/ML trends, emerging technologies (e.g., GenAI, LLMs, Edge AI), and industry benchmarks.
• Continuously scout the market for innovative AI use cases and competitor activities.
• Provide strategic inputs for refining our AI portfolio, industry focus, and solution roadmap.
Qualifications
• Bachelor's or Master's degree in Business, Computer Science, Data Science, or related field.
• 5+ years of experience in business development, solution consulting, or customer-facing AI roles.
• Proven experience in identifying and converting AI/Data opportunities into revenue-generating projects.
• Strong understanding of AI technologies: Generative AI, LLMs, ML Ops, NLP, Computer Vision, Predictive Modeling, etc.
• Excellent communication, storytelling, and presentation skills.
• Ability to engage both technical and non-technical stakeholders with equal ease.
Preferred Skills
• Knowledge/Experience working with platforms like Azure AI, Dataiku, or C3 AI, Cohere, Open Source AI frameworks and Data platforms like Cloudera, Snowflake etc.
• Knowledge of industry-specific AI applications in sectors like healthcare, finance, manufacturing, public sector, etc. is very important.
• Prior experience in a consulting, IT services, or AI-focused organization is a strong plus.
AI Business Development Manager
Posted today
Job Viewed
Job Description
Position Summary
We are seeking a dynamic and highly motivated
AI Business Development Manager
who will play a pivotal role in driving AI-led digital transformation for our clients. This role demands a unique blend of business acumen, customer engagement, and deep understanding of the latest trends in
Artificial Intelligence (AI)
,
Machine Learning (ML)
, and
Data Science
.
The ideal candidate will engage directly with enterprise and government customers to understand their business challenges, identify opportunities for AI intervention, and translate those into high-impact, real-world AI solutions and use cases.
Key Responsibilities
Customer Engagement & Opportunity Discovery
- Meet with key stakeholders across industries to
understand their business models, challenges, and pain points
. - Conduct detailed
needs assessments
to uncover process inefficiencies, gaps, and areas where AI can drive measurable value. - Act as a
trusted advisor
to CXOs, department heads, and technical decision-makers on AI adoption.
Use Case Ideation & Solutioning
- Co-create and develop AI-driven use cases
tailored to customer-specific problems (e.g., predictive analytics, computer vision, NLP, generative AI). - Collaborate with AI architects and data science teams to evaluate feasibility and scope of solutions.
- Translate business requirements into
technical solution briefs
, PoC proposals, and value propositions.
Business Development & Go-to-Market Execution
- Own and drive the
AI sales funnel
— from lead generation to deal closure. - Collaborate with cross-functional teams (Sales, Pre-Sales, Product, Delivery) to develop proposals, RFIs/RFPs, and pricing models.
- Prepare compelling
presentations and demos
to articulate the power of AI solutions in solving business problems.
Market & Trend Intelligence
- Stay abreast of the
latest AI/ML trends
, emerging technologies (e.g., GenAI, LLMs, Edge AI), and industry benchmarks. - Continuously scout the market for innovative AI use cases and competitor activities.
- Provide strategic inputs for refining our
AI portfolio, industry focus, and solution roadmap
.
Qualifications
- Bachelor's or Master's degree in Business, Computer Science, Data Science, or related field.
- 5+ years of experience in
business development
,
solution consulting
, or
customer-facing AI roles
. - Proven experience in identifying and converting
AI/Data opportunities into revenue-generating projects
. - Strong understanding of AI technologies:
Generative AI, LLMs, ML Ops, NLP, Computer Vision, Predictive Modeling
, etc. - Excellent communication, storytelling, and presentation skills.
- Ability to engage both
technical and non-technical stakeholders
with equal ease.
Preferred Skills
- Knowledge/Experience working with platforms like Azure AI, Dataiku, or C3 AI, Cohere,
Open Source AI frameworks
and Data platforms like Cloudera, Snowflake etc. - Knowledge of
industry-specific AI applications
in sectors like healthcare, finance, manufacturing, public sector, etc. is very important. - Prior experience in a
consulting, IT services, or AI-focused organization
is a strong plus.
Data Science Manager
Posted 8 days ago
Job Viewed
Job Description
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
- 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
- Certified Data Scientist (CDS)
- Microsoft Certified: Azure Data Scientist Associate
- Google Cloud Professional Data Engineer
Data Science Manager
Posted 26 days ago
Job Viewed
Job Description
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
- 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
- Certified Data Scientist (CDS)
- Microsoft Certified: Azure Data Scientist Associate
- Google Cloud Professional Data Engineer
Manager Data Science
Posted today
Job Viewed
Job Description
Job title
Manager Data Science | Revenue Management
Ref #
Location
Qatar - Doha
Job family
Corporate & Commercial
- Closing date: 30-Sep-2025
About the role
Welcome to a world where ambition propels success
We are pleased to announce an exciting opportunity to be part of our Revenue Management Team as a Manager Data Science in Doha
In this role, you will play a significant part in leading a team of skilled data scientists, developing advanced analytical models, and ensuring the effective utilization of data-driven insights to enhance our revenue management practices. You will harness the power of data to drive strategic decisions and optimize revenue performance.
You will collaborate closely with various stakeholders, including commercial, pricing, finance, and operations teams, to identify opportunities for revenue growth and implement data-driven solutions that align with our overall business objectives.
Specific responsibilities include:
- Responsible in shaping our data science strategy, staying abreast of industry trends, and continuously improving our analytical capabilities
- Develop predictive models, pricing algorithms, and demand forecasting tools that will enable RM Managers to make informed decisions and stay competitive in the dynamic airline industry.
- Collaborate with business and technology partners across various departments to deploy AI & ML-powered solutions, aiming to drive incremental revenue, enhance customer engagement, and automate manual processes using state-of-the-art ML techniques
- Collaborate with cross-functional teams to define problem statements, hypotheses, and success metric
- Utilize advanced analytical techniques (e.g., machine learning, statistical modelling) to analyze complex datasets, identify trends, and develop predictive models.
- Work with data engineering teams to deploy and maintain data science models in a production environment ,ensuring their accuracy and effectiveness.
- Manage data science projects ,fostering relationships with stakeholders, and ensure the effective deployment of AI and machine learning models.
- Oversee the design, development and deployment of data science projects, ensuring they align with business objectives and timelines
- Build and maintain strong relationships with stakeholders across different departments(e.g. Corporate Planning,B2C,IT,Finance) to understand their needs and ensure the effective integration of data-driven solutions.
- Coach and mentor team members for their development and successful project delivery
- Lead and manage a team of Data Scientists to deliver high-quality, production-scale ML models with measurable business impact across multiple business/product verticals.
Be part of an extraordinary story
Your skills. Your imagination. Your ambition. Here, there are no boundaries to your potential and the impact you can make. You'll find infinite opportunities to grow and work on the biggest, most rewarding challenges that will build your skills and experience. You have the chance to be a part of our future, and build the life you want while being part of an international community.
Our best is here and still to come. To us, impossible is only a challenge. Join us as we dare to achieve what's never been done before.
Together, everything is possible.
QualificationsAbout you
The successful candidate will have the following skills and qualifications:
- Bachelor's degree or equivalent ( Example: Mathematics and Statistics, Computer Science or Engineering or any related field) with minimum of 8 years job -related experience.
- Expertise in statistical analysis, machine learning, data engineering, operations research, forecasting and optimization methods
- Strong background in statistical analysis, optimization techniques, and predictive modeling. Well-versed in AI and ML methodologies.
- Experience in handling large datasets, using data mining tools, and developing algorithms is preferred.
- Excellent programming skills in languages such as Python, R, or SQL.
- Good understanding of Airline business process, including Network planning, scheduling, Marketing, Sales, Digital (Customer behavior)
- Excellent leadership skills, communication and negotiation skills.
- Strong communication skills to effectively convey complex analytical concepts to non-technical stakeholders
- Ability to work collaboratively with cross-functional teams.
- Strong command of English language
About Qatar Airways Group
Our story started with four aircraft. Today, we deliver excellence across 12 different businesses coming together as one. We've grown fast, broken records and set trends that others follow. We don't slow down by the fear of failure. Instead, we dare to achieve what's never been done before.
So, whether you're creating a unique experience for our customers or innovating behind the scenes, every person contributes to our proud story. A story of spectacular growth and determination. Now is the time to bring your best ideas and passion to a place where your ambition will know no boundaries, and be part of a truly global community.
About Qatar Airways Group
Our story started with four aircraft. Today, we deliver excellence across 12 different businesses coming together as one. We've grown fast, broken records and set trends that others follow. We don't slow down by the fear of failure. Instead, we dare to achieve what's never been done before.
So whether you're creating a unique experience for our customers or innovating behind the scenes, every person contributes to our proud story. A story of spectacular growth and determination. Now is the time to bring your best ideas and passion to a place where your ambition will know no boundaries, and be part of a truly global community.
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Data Science Manager
Posted 26 days ago
Job Viewed
Job Description
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
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Senior Data Science Manager
Posted 8 days ago
Job Viewed
Job Description
SWATX is looking for a visionary and results-driven Senior Data Science Manager to join our leadership team. In this pivotal role, you will be responsible for overseeing the strategic direction and execution of data science initiatives across the organization. You will lead a talented team of data scientists, driving innovation in predictive modeling, machine learning, and advanced analytics. As a key contributor to our data strategy, you will collaborate closely with senior leadership and cross-functional teams to deliver impactful insights and solutions that enhance business performance.
Responsibilities:
- Develop and implement the overall data science vision, strategy, and framework to align with organizational goals.
- Lead a high-performing team of data scientists, fostering a culture of collaboration, innovation, and continuous learning.
- Drive the execution of strategic data science projects, ensuring alignment with business objectives and delivery of actionable insights.
- Collaborate with stakeholders to identify high-impact opportunities for modeling and analytics that can enhance decision-making and operational efficiency.
- Oversee the design and implementation of complex machine learning algorithms and statistical models to solve business challenges.
- Monitor industry trends and emerging technologies in data science and analytics, incorporating best practices into the team's methodologies.
- Provide mentorship and professional development opportunities for team members to enhance their skill sets and career growth.
- Present findings and recommendations to senior leadership, translating complex data insights into clear and actionable strategies.
Senior Data Science Manager
Posted 26 days ago
Job Viewed
Job Description
SWATX is looking for a visionary and results-driven Senior Data Science Manager to join our leadership team. In this pivotal role, you will be responsible for overseeing the strategic direction and execution of data science initiatives across the organization. You will lead a talented team of data scientists, driving innovation in predictive modeling, machine learning, and advanced analytics. As a key contributor to our data strategy, you will collaborate closely with senior leadership and cross-functional teams to deliver impactful insights and solutions that enhance business performance.
Responsibilities:
- Develop and implement the overall data science vision, strategy, and framework to align with organizational goals.
- Lead a high-performing team of data scientists, fostering a culture of collaboration, innovation, and continuous learning.
- Drive the execution of strategic data science projects, ensuring alignment with business objectives and delivery of actionable insights.
- Collaborate with stakeholders to identify high-impact opportunities for modeling and analytics that can enhance decision-making and operational efficiency.
- Oversee the design and implementation of complex machine learning algorithms and statistical models to solve business challenges.
- Monitor industry trends and emerging technologies in data science and analytics, incorporating best practices into the team’s methodologies.
- Provide mentorship and professional development opportunities for team members to enhance their skill sets and career growth.
- Present findings and recommendations to senior leadership, translating complex data insights into clear and actionable strategies.