8 Machine Learning jobs in Qatar
Developer - Machine Learning
Posted today
Job Viewed
Job Description
Job Summary
You will be responsible for end-to-end data science cycles, encompassing designing, training, implementing, evaluating, and monitoring machine learning models, and will also design and implement highly scalable tools and algorithms based on state-of-the-art Machine Learning and Deep Learning methodologies.
You will work across the ML stack, from researching models, working with large datasets, training, and tuning existing models to creating new models, deploying them at scale, analyzing results, and presenting findings to stakeholders across tech and business domains.
Job Objectives
- Develop and implement advanced predictive models to optimize customer experiences and other business outcomes.
- Analyze large and complex datasets to extract actionable insights and drive business decisions.
- Interpret results and provide actionable insights to guide real-time decision-making within the business context.
- Collaborate with cross-functional teams to ensure proper deployment and integration of ML models for new releases.
Job Responsibilities
Predictive Modeling and Deployment
- Develop and implement advanced predictive models to forecast key business metrics such as sales, customer churn, or product demand.
- Utilize predictive modeling to optimize customer experiences and other business outcomes.
- Execute machine learning models, algorithms, and statistical techniques to analyze historical data and ensure scalability and efficiency.
Data Preparation and Analysis
- Develop and use advanced software programs, algorithms, and query techniques to cleanse, integrate, and evaluate datasets for model inputs.
- Analyze large and complex datasets to extract actionable insights and identify trends and patterns that can drive business decisions.
- Identify manual human processes, understand user behaviors, and analyze use cases that can be augmented or automated.
Model Deployment and Interpretation
- Deploy models into production environments and monitor their performance over time.
- Apply statistical, mathematical, and predictive modeling techniques to build, maintain, and improve real-time decision systems.
- Interpret results, develop insights within the business context, and provide guidance on risks and limitations
Development & Documentation
- Write the code as per agreed software design rules to keep it aligned with the rest of the code base.
- Code the final implementation that the generated code is referring to.
- Follow company software data protection and security guidelines in developing software.
- Accurately estimate the time needed to complete an assigned task.
- Identify possible causes of issues or problems.
- Think through and recommend solutions when raising issues around code, requirements, etc.
- Write technical design documentation that fully defines all application code.
- Maintain detailed knowledge of iHorizons products and services.
- Understand the business impact for labs outcomes.
Collaboration & Team Guidance
- Stay updated on the latest research, learn new applications, tools, and technologies in the fields of data science and machine learning through intensive and focused effort.
- Collaborate with technical and non-technical business partners to develop analytical dashboards describing ML algorithm findings to stakeholders.
- Collaborate with other teams to perform code reviews and oversee proper deployment for new releases.
- Actively mentor and support mid-level and junior developers in their professional growth.
- Provide guidance on best practices in machine learning, code reviews, and project design.
- Foster an inclusive and collaborative environment that encourages continuous learning and development within the team.
- Oversee interactions with vendors and third-party service providers, including collaborating on the design and implementation of technical architectures, and acting as a point of contact for resolving technical issues. Maintain clear communication with internal stakeholders regarding vendor-related activities, updates, and issues to facilitate smooth collaboration and decision-making processes.
Job Requirements
Educational Qualification
- Bachelor's degree in data science, statistics, and computer science is a MUST.
- Google Cloud - Professional Machine Learning Engineer Certificate
- Google AgentSpace implementation experience
Previous Work Experience
- 3-4+ Years of experience in data science or machine learning.
- Must have strong experience in at least one of the following areas:
- Vision models
- NLP models (Experience in Arabic NLP is a huge plus)
Skills And Abilities
- Proficient in python, TensorFlow, keras and pytorch.
- Good experience in:
- SQL and non-relational databases.
- Data analytics reports generation.
- ML model development deployment.
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Machine Learning Engineer
Posted today
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Job Description
Apt Resources is seeking an experienced Machine Learning Engineer for a client in Abu Dhabi's Government & Public Sector. In this role, you will design and deploy cutting-edge AI/ML solutions using Large Language Models (LLMs) like GPT, Llama, and BERT to drive innovation in public services.
This is an exciting opportunity to work on high-impact projects involving Retrieval-Augmented Generation (RAG), fine-tuning, and prompt engineering, ensuring secure, scalable, and compliant AI systems for government applications.
Key Responsibilities:- Develop and optimize AI/ML pipelines for LLMs, focusing on RAG architectures, fine-tuning, and prompt engineering tailored for public sector needs.
- Implement scalable solutions using Python, LangChain, HuggingFace, PyTorch/TensorFlow, and cloud-based ML services (Azure ML preferred).
- Integrate vector/graph databases (Weaviate, Neo4j) into production systems to enhance data retrieval and analysis.
- Deploy and monitor models in production, ensuring adherence to government security and compliance standards.
- Collaborate with cross-functional teams to align AI solutions with public sector objectives (e.g., citizen services, data governance, operational efficiency).
- 6-14 years of hands-on experience in AI/ML, with a strong focus on LLMs and GenAI.
- Expertise in LLM architectures (Transformers), prompt engineering, and RAG implementations.
- Proficiency in Python and ML frameworks (LangChain, LlamaIndex, HuggingFace, Scikit-learn).
- Experience with cloud platforms (Azure ML, AWS, or GCP) and MLOps tools (MLflow, model monitoring).
- Familiarity with vector databases, ETL pipelines, and unstructured data handling.
- Knowledge of government IT standards or secure deployments is a plus.
To be discussed
Machine Learning Engineer, International Public Sector
Posted today
Job Viewed
Job Description
Scale's rapidly growing International Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of:
- Creating custom AI applications that will impact millions of citizens
- Generating high-quality training data for national LLMs
- Upskilling and advisory services to spread the impact of AI
We are hiring multiple Machine Learning Engineers who will leverage the latest research to design, train, deploy, and evaluate computer vision and/or language models to power the custom applications we build for our public sector clients.
At Scale, we're not just building AI solutions—we're enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you're ready to shape the future of AI in the public sector and be a founding member of our team, we'd love to hear from you.
You will:
- Partner with public sector counterparts to deeply understand their challenges
- Apply the latest research as you design custom models or chains of models
- Collaborate closely with our data annotation teams to create high-quality training datasets
- Train, optimize, and deploy models into challenging production environments
- Develop and maintain robust evaluation systems
- Participate in customer engagements, including occasional travel (approximately one week per quarter)
- Contribute to the scaling of AI capabilities in the public sector through hands-on knowledge sharing
Ideally, you'd have:
- 5+ years of computer vision and/or language model training, deployment, evaluation, and maintenance experience in a production environment
- Master's or equivalent work experience
- Software engineering experience with demonstrated proficiency in Python, TypeScript/JavaScript, C++ or similar
Nice to haves:
- Experience working at a startup
- Experience dealing with large-scale AI problems
- Strong written and verbal communication skills to operate in a cross-functional team environment
- Proficiency in Arabic (if focused on language models)
- Published research in areas of machine learning at significant conferences (NeurIPS, ICML, EMNLP, CVPR, etc.) and/or journals.
PLEASE NOTE:
Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
About Us:
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at Please see the United States Department of Labor's
Know Your Rights poster
for additional information.
We comply with the United States Department of Labor's
Pay Transparency provision
.
PLEASE NOTE:
We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Machine Learning Engineering Manager, International Public Sector
Posted today
Job Viewed
Job Description
Scale's rapidly growing International Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of:
- Creating custom AI applications that will impact millions of citizens
- Generating high-quality training data for national LLMs
- Upskilling and advisory services to spread the impact of AI
We are hiring a Machine Learning Engineer Manager who will manage a team of high-calibre MLEs who design, train, deploy, and evaluate computer vision and/or LLMs to power custom applications we build for our public sector clients. You will guide your team towards using data-driven experiments to provide key insights around model strengths and inefficiencies in an effort to improve products.
At Scale, we're not just building AI solutions—we're enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you're ready to shape the future of AI in the public sector and be a founding member of our team, we'd love to hear from you.
You will:
- Train state of the art models, developed both internally and from the community, in production to solve problems for our enterprise customers.
- Manage a team of ML Engineers
- Work with product and research teams to identify opportunities for ongoing and upcoming services.
- Explore approaches that integrate human feedback and assisted evaluation into existing product lines.
- Create state of the art techniques to integrate tool-calling into production-serving LLMs.
- Work closely with customers - some of the most sophisticated ML organizations in the world - to quickly prototype and build new deep learning models targeted at multi-modal content understanding problems.
Ideally you'd have:
- At least 5 years of model training, deployment and maintenance experience in a production environment
- At least 5+ years of management or tech leadership experience
- Strong skills in NLP, LLMs and deep learning
- Solid background in algorithms, data structures, and object-oriented programming
- Experience working with a cloud technology stack (eg. AWS, GCP, or Azure) and developing machine learning models in a cloud environment
- Experience building products with LLMs including knowing the ins and outs of evaluation, experimentation, and designing solutions to get the most of the models
- Strong written and verbal communication skills to operate in a cross functional team environment
Nice to haves:
- Experience in dealing with large scale AI problems, ideally in the generative-AI field
- Demonstrated expertise in large vision-language models for diverse real-world applications, e.g. classification, detection, question-answering, etc.
- Published research in areas of machine learning at major conferences (NeurIPS, ICML, EMNLP, CVPR, etc.) and/or journals
- Strong high-level programming skills (e.g., Python), frameworks and tools such as DeepSpeed, Pytorch lightning, kubeflow, TensorFlow, etc.
- Fluent in Arabic
PLEASE NOTE:
Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
About Us:
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at Please see the United States Department of Labor's
Know Your Rights poster
for additional information.
We comply with the United States Department of Labor's
Pay Transparency provision
.
PLEASE NOTE:
We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Manager Data Science
Posted today
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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.
Senior Data Science Analyst
Posted today
Job Viewed
Job Description
Job title
Senior Data Science Analyst
Ref #
Location
Qatar - Doha
Job family
Pilots & Flight Operations
- Closing date: 04-Nov-2025
About the role:
Qatar Airways are pleased to announce an incredibly exciting opportunity to join our Flight Operations Support Services team as a Senior Data Science Analyst to be based in Doha, Qatar.
As a Senior Data Science Analyst, you will apply advanced analytical techniques to enhance the efficiency of Flight Operations and Technical Operations (CAMO). You will leverage on a wide range of methodologies, including machine learning, optimization, root cause analysis, and prototyping decision-support tools to deliver actionable insights and provide strategic recommendations to senior management and business stakeholders.
Specific responsibilities for the role include:
- Use a combined knowledge of data science, statistics, machine learning and optimization techniques to enhance Flight Operations and Technical Operations (CAMO) analytics capabilities.
- Develop and maintain strong business acumen within the Flight Operations and Technical Operations (CAMO) analytical scope, especially in the areas of on-time performance, flight schedule, predictive maintenance and impact on operational costs.
- Responsible for delivering multiple, highly complex and advanced analyses in a timely, efficient manner in collaboration with Flight and technical Operations' teams to understand contextual problems and deliver innovative solutions that address business needs.
- Lead data analysis activities using available sources to identify trends and patterns, deliver deeper operational insights to make predictions and generate data-driven recommendations.
- Develop and deploy machine learning models and optimization models.
- Propose and develop data-driven support prototypes based on machine learning and Optimization for further evaluation by the business users.
- Leverage emerging tools, open-source frameworks, and cloud technologies (including Vertex AI and Databricks) to create predictive and prescriptive analytics solutions. Familiarity with the Skywise platform is considered a plus.
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.
About you
The successful candidate will have the following skills and qualifications:
- Bachelor's Degree in Mathematics, Statistics, Data Science, Operations Research, Artificial Intelligence.
- Minimum of 5 years of relevant experience and minimum 3 years' experience in Data Science role.
- Experience in applying statistics, advanced analytical methods, and operations research to solve business problems.
- Excellent presentation skills and data visualization.
- Proficiency in Python, R, and SQL for data preparation, querying, and ML model development.
- Hands-on experience with GCP Vertex AI and frameworks like TensorFlow, PyTorch, and Keras.
- Experience in Optimization software tools such as Cplex, Gurobi, Google OR-Tools.
- Advanced level of Microsoft Office (Word, Excel, PowerPoint. Outlook) skills.
- Experience with top-tier BI tools such as Qlik, Power BI, Tableau.
- Experience with the Skywise platform will be considered an asset.
- Excellent verbal and written communication skills and the ability to interact professionally with a diverse group of partners, senior managers, and subject matter experts.
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.
How to apply
If you're ready to join a progressive team and have a challenging and rewarding career, then apply now by uploading your CV and completing our quick application form.
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.
Senior Data Science Analyst
Posted today
Job Viewed
Job Description
Job title
Senior Data Science Analyst - Qatari Nationals only
Ref #
Location
Qatar - Doha
Job family
Corporate & Commercial
- Closing date: 13-Oct-2025
*About The Role (Qatari Nationals Only) *
As a Senior Data Science Analyst, you will be responsible to lead a team of analysts to design and build analytics methodologies, solutions and products to deliver value where data is the basis for solutions. Balance numerous facets of data including, for example, technical distinctions across sets of data, maths and statics, software such as machine learning and connect them to business context and value by developing strategies and processes.
Other Key Responsibilities Are:
- Plans strategies to operationalize revenue managements goals of applying more data, science and technology to deliver results to meet revenue targets including RASK.
- Leads a team of analysts to deliver reliable, on time, revenue management and commercial data to reduce the time between a data point being generated and its usefulness to the business. Build and execute solid analytics work plans, gather and organize large and complex data sets, perform relevant analysis including data exploration and data modelling. Build and track a list of data sources available within the company and understand interrelations between different datasets to drive value.
- Translates sophisticated data science concepts in an understandable and meaningful manner to help the business adopt and transform.
- Works with traditional revenue management data sources including for example pricing, inventory and market share, bringing skills in computer science, artificial intelligence statistics and machine learning to deliver solutions to deliver revenue.
- Interprets the requirements of Revenue Management and other stakeholders, analysts and specialists to develop efficient and reliable solutions that to improve the quality of machine and analyst decisions to delivery revenue
- Collaborate with IT stakeholders, data analysts lead IT investigations from within the Organisation to create synergies and, where possible and applicable, adopt common tools and technologies to analyse digital value
- Compile statistical/supporting data to communicate findings, critical information and insights to business and make relevant recommendations to adapt existing business strategies.
- Provide comprehensive reports with recommendation for management review and decision making. Working with IT and the Business, assesses and report on the benefits of data science tools, solutions and results to contribute to future investment or business case decisions.
- Use a combined knowledge of computer science and applications, modelling, statistics, analytics and maths in order to propose solutions and strategies to new data processing challenges. Evaluate and problem solve through data analysis by working closely with colleagues to identify data related problems and mend where necessary.
- Identify challenges and opportunities gained from the analysis and conclude cases by proposing business improvement solutions. Use and apply modern development tools and write code to deliver data enabled solutions that drive personalization.
- Seeks improvements in data storage and processing and contributes to implementation plans for data lake and cloud storage solutions.
- Understands Data Science as an evolving field, working with departmental leadership to continuously seek out new solutions to deliver a competitive advantage.
- Develops constructive and collaborative relationships with other areas of Commercial and IT to supports the vision to deliver 5 star connections with our customers every time
- Work closely with Senior Data Science Analysts to build solutions.
- As a problem solver, works with other RM team members to understand business challenges, applying analytical curiosity to go beyond immediate requirements to find undiscovered insights that, through the use of data will deliver on the commercial and revenue management vision.
- Guide the RM organization towards to ultimate goal of increased revenue by supporting the managers with convincing evidence.
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.
Qualifications
Qualifications
*About You *
We are looking for a passionate and experienced professional to join the Revenue Management Team.
- Bachelor's degree or Master's degree in related disciplines such as Mathematics and Statistics, Computer Science or Engineering is essential
- 6+ years of job-related experience
- Expert understanding of statistics, operations research, forecasting and optimization methods
- Very good understanding of the airline business process. This includes Network Planning and Scheduling, e-commerce, Marketing and Sales
- Excellent communication and negotiation skills. Command of English language
- Expert understanding of IT related topics.
*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.
*How To Apply *
If you are interested to submit your application and feel you are a good fit for this role, please complete our application form and upload your CV for our review and consideration.
*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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Artificial Intelligence Senior Developer
Posted today
Job Viewed
Job Description
Who we are?
Bravent
was founded in 2013 and created to improve companies' processes and results, through the use of customized technological developments.
Specialists in
developing comprehensive, disruptive, and customized solutions
for all types of industries, we focus on the user, adapting to their needs and objectives.
We endorse our extensive experience implementing
Microsoft technology
, with a staff of more than 150 professionals and with a dozen certifications at enterprise level.
We are looking for a person as
Senior Developer
in our
Artificial Intelligence Team
, so if you are interested, keep reading
What do you need?
- Minimum 3 years' experience in a similar role.
- Extensive knowledge and experience in Python.
- Knowledge and experience with Scikit-Learn, Tensorflow, PyTorch, XGBoost, etc.
- Experience working in the cloud, mainly in Azure.
- Knowledge of MLOps and its application in a production project.
- Good level of Arabic and English to participate in international projects. (A test will be carried out during the selection process).
What will you do?
Be part of the Artificial Intelligence team in each project that is carried out.
Collaborate on international projects together with the team from other countries.
Participate in innovation projects using not only Microsoft technologies, such as the latest from OpenAI, but also researching and applying SOTA models with the aim of providing knowledge to the AI team.
What do we offer?
Remote working (2 days per week).
Flexible schedule.
Strong compensation plan.
Internal training.
Paid yearly trip to country of origin.
Medical insurance.
International projects.
To be part of an
innovative company in Microsoft technologies
.
At
Bravent
we establish a code of ethics that ensures the fundamental rights of our entire team, integrating respect and diversity.
We do not differentiate between race, color, religion, age, sex, nationality, disability, genetics, sexual orientation, gender identity or expression or any other characteristic protected by federal, state or local legislation when incorporating new professionals into our company.
We also seek to increase the number of women in this professional sector in a way that allows us to break the gender gap.
Don't hesitate, will you join our team?
: