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machine learning engineer

TAT IT Technolgies

<div>
 
 We have an urgent requirement for Machine Learning Engineer for our client based in Qatar
 
 
 
 
 Develop and implement machine learning models and algorithms to derive insights, predictions, and recommendations from Labour-related data.--
 
 
 -Must
 
 
 
 
 Strong proficiency in programming languages such as Python, R, or Java, with expertise in machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch)---
 
 
 Must
 
 
 
 
 deep learning algorithms, neural networks, and convolutional/recurrent architectures.---
 
 
 Must
 
 
 
 
 integrate machine learning models into the LMIS infrastructure, including data pipelines and real-time prediction systems.--
 
 
 Must
 
 
 
 
 Background
 
 
 
 
 Client is seeking a skilled and experienced Machine Learning Engineer to contribute to the development and implementation of a Labour Market Information System (LMIS). The LMIS aims to leverage machine learning algorithms and techniques to automate processes, make predictions, and generate actionable insights. The selected Machine Learning Engineer will play a key role in designing, developing, and deploying machine learning models within the LMIS.
 
 
 
 
 Objectives
 
 
 
 The main objectives of the Machine Learning Engineer are as follows:
 
 
 <ul>
 <li>
 Develop and implement machine learning models and algorithms to derive insights, predictions, and recommendations from Labour-related data.
 </li>
 <li>
 Collaborate with the Data Engineering team to ensure the availability, quality, and preprocessing of data for training and validation purposes.
 </li>
 <li>
 Optimize and fine-tune machine learning models to improve accuracy, performance, and efficiency.
 </li>
 <li>
 Deploy machine learning models within the LMIS infrastructure to enable real-time predictions and analysis.
 </li>
 <li>
 Continuously monitor and evaluate model performance, incorporating feedback and iterative improvements.
 </li>
 <li>
 Stay updated with the latest advancements in machine learning, deep learning, and AI to propose innovative solutions and enhance the LMIS.
 
 
 </li>
 </ul>
 
 Responsibilities
 
 
 
 The Machine Learning Engineer will be responsible for the following tasks:
 
 
 <ul>
 <li>
 Collaborate with stakeholders to understand business requirements and identify opportunities for applying machine learning techniques.
 </li>
 <li>
 Perform data preprocessing, feature engineering, and data augmentation to prepare the data for machine learning model development.
 </li>
 <li>
 Develop, implement, and validate machine learning models, including supervised and unsupervised learning algorithms, regression models, and classification models.
 </li>
 <li>
 Optimize models for scalability, performance, and interpretability while ensuring compliance with data privacy and security standards
 </li>
 <li>
 Collaborate with the Data Engineering team to integrate machine learning models into the LMIS infrastructure, including data pipelines and real-time prediction systems.
 </li>
 <li>
 Conduct regular evaluations and model performance monitoring, making necessary adjustments and retraining as needed.
 </li>
 <li>
 Implement version control and documentation processes to maintain model versions and track changes.
 </li>
 <li>
 Collaborate with stakeholders to interpret and present model outputs, insights, and recommendations in a meaningful and actionable manner.
 </li>
 <li>
 Ensure compliance with ethical considerations and legal requirements in the use of machine learning algorithms and data.
 
 
 </li>
 </ul>
 
 Qualifications And Skills
 
 
 
 The ideal candidate should possess the following qualifications and skills:
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
 </li>
 <li>
 Proven experience (at least 3 years) in machine learning model development, implementation, and deployment.
 </li>
 <li>
 Strong proficiency in programming languages such as Python, R, or Java, with expertise in machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch).
 </li>
 <li>
 Experience with data preprocessing, feature engineering, and data augmentation techniques.
 </li>
 <li>
 Understanding of various machine learning algorithms, including supervised and unsupervised learning, regression, and classification.
 </li>
 <li>
 Familiarity with deep learning algorithms, neural networks, and convolutional/recurrent architectures.
 </li>
 <li>
 Knowledge of model evaluation metrics, cross-validation techniques, and hyperparameter tuning.
 </li>
 <li>
 Experience with model deployment and integration in production environments using frameworks like Flask or Docker.
 </li>
 <li>
 Familiarity with cloud platforms and services for scalable model deployment (e.g., AWS, Azure, Google Cloud).
 </li>
 <li>
 Strong problem-solving skills and ability to translate business requirements into machine learning solutions.
 </li>
 <li>
 Excellent communication and collaboration skills to work effectively with stakeholders and contribute to a multidisciplinary team
 
 
 </li>
 </ul>
 
 Deliverables
 
 
 
 The Machine Learning Engineer will be responsible for delivering the following key outputs:
 
 
 <ul>
 <li>
 Developed and validated machine learning models for Labour-related insights, predictions,
 
 
 </li>
 </ul>
 and recommendations.
 
 
 <ul>
 <li>
 Integrated machine learning models into the LMIS infrastructure for real-time predictions.
 </li>
 <li>
 Regular model evaluations and performance monitoring reports.
 </li>
 <li>
 Documentation of machine learning processes, model versions, and deployment procedures
 
 
 </li>
 </ul>
 Skills: machine learning,algorithms,learning
</div>

Machine Learning Engineer

Scale AI

<div>
 Scale&rsquo;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:
 
 
 <ul>
 <li>
 Creating custom AI applications that will impact millions of citizens
 </li>
 <li>
 Generating high-quality training data for national LLMs
 </li>
 <li>
 Upskilling and advisory services to spread the impact of AI
 
 
 </li>
 </ul>
 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&rsquo;re not just building AI solutions&mdash;we&rsquo;re enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you&rsquo;re ready to shape the future of AI in the public sector and be a founding member of our team, we&rsquo;d love to hear from you.
 
 
 
 You will:
 
 
 
 <ul>
 <li>
 Partner with public sector counterparts to deeply understand their challenges
 </li>
 <li>
 Apply the latest research as you design custom models or chains of models
 </li>
 <li>
 Collaborate closely with our data annotation teams to create high-quality training datasets
 </li>
 <li>
 Train, optimize, and deploy models into challenging production environments
 </li>
 <li>
 Develop and maintain robust evaluation systems
 </li>
 <li>
 Participate in customer engagements, including occasional travel (approximately one week per quarter)
 </li>
 <li>
 Contribute to the scaling of AI capabilities in the public sector through hands-on knowledge sharing
 
 
 </li>
 </ul>
 
 Ideally, you&rsquo;d have:
 
 
 
 <ul>
 <li>
 5+ years of computer vision and/or language model training, deployment, evaluation, and maintenance experience in a production environment
 </li>
 <li>
 Master&rsquo;s or equivalent work experience
 </li>
 <li>
 Software engineering experience with demonstrated proficiency in Python, TypeScript/JavaScript, C++ or similar
 
 
 </li>
 </ul>
 
 Nice to haves:
 
 
 
 <ul>
 <li>
 Experience working at a startup
 </li>
 <li>
 Experience dealing with large-scale AI problems
 </li>
 <li>
 Strong written and verbal communication skills to operate in a cross-functional team environment
 </li>
 <li>
 Proficiency in Arabic (if focused on language models)
 </li>
 <li>
 Published research in areas of machine learning at significant conferences (NeurIPS, ICML, EMNLP, CVPR, etc.) and/or journals.
 
 
 </li>
 </ul>
 
 
 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 accommodations@scale.com. 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&rsquo; 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.
 
</div>

Machine Learning Engineer, International Public Sector

Agoda

<div>
 
 About Agoda
 
 
 
 At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.
 
 
 Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.
 
 
 No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you&rsquo;re ready to begin your best journey and help build travel for the world, join us.
 
 
 
 Get to Know Our Team
 
 
 
 The Engineering department oversees all Agoda&rsquo;s ML and software related requirements. Our goal is to enable and increase Agoda&rsquo;s business through creative approaches and the implementation of powerful resources such as operational and analytical databases, ML driven solutions, queue systems and data monitoring tools. We hire the brightest minds from around the world to take on this challenge and equip them with the knowledge and tools that contribute to their personal growth and success while supporting our company&rsquo;s culture of diversity and experimentation. The role the engineering team plays at Agoda is critical as business users, product managers, and many others rely on us to empower their decision making. We are equally dedicated to our customers by improving their search experience with faster results and protecting them from any fraudulent activities. Data is interesting only when you have enough of it, and we have plenty. This is what drives up the challenge as part of the ML engineering squad, but also the reward. We work across structured and non-structured data at scale. For example, our current ML models process millions of images every day to try and enhance the experience that our users get from our app.
 
 
 
 Why Agoda Engineering Team (ML role)?
 
 
 
 Our engineering teams are at the intersection of business analytics, ml engineering, data warehousing and software engineering. Our job involves dealing with distributed systems, stream processing, ml modeling and computation at tens of PB Scale. We focus on software engineering related to data replication, storage, centralized computation, and Data API&rsquo;s. By providing our users with ML products/tools, shared frameworks, and ML services, we enable our company to validate strategic decisions, make smarter choices, and react to the fast-changing world. We are a small but passionate team with people from different nationalities working together on a single goal.
 
 
 
 In this Role, you will get to:
 
 
 
 <ul>
 <li>
 Lead the team technically in improving scalability, stability, accuracy, speed and efficiency of our existing ML systems and processes. Build, administer and scale ML processing pipelines.
 </li>
 <li>
 Be comfortable navigating the following technology stack: Python3, Scala Spark, scripting (Bash/Python), Hadoop, SQL, S3 etc.
 </li>
 <li>
 Should be able to understand internals of ML models such as LightGBM, Random Forest, CNN, Regression models, etc
 </li>
 <li>
 Design, build, test and deploy new libraries, frameworks or full systems for our core systems while keeping to the highest standards of testing and code quality.
 </li>
 <li>
 Work with experienced engineers and product owners to identify and build tools to automate many large-scale data management / analysis tasks.
 </li>
 <li>
 We believe in end-to-end ownership; this role will involve taking and building systems that enable us to deliver ML models to production at a scale.
 
 
 </li>
 </ul>
 
 What You&rsquo;ll need to Succeed:
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in computer science /information systems/engineering/related field 6+ years of experience in software engineering with a minimum of 4+ years in ML
 </li>
 <li>
 Expert in SQL, Python3, and JVM based programming language &ndash; ie, Java or Scala
 </li>
 <li>
 Expert in software design/design patterns, functional programming and object-oriented programming.
 </li>
 <li>
 Analytical problem-solving capabilities &amp; experience. A strong engineering driven mindset will be required to succeed in this role.
 
 
 </li>
 </ul>
 
 It&rsquo;s great if you have:
 
 
 
 <ul>
 <li>
 Good understanding of Hadoop ecosystems and Big Data architecture and techologies
 </li>
 <li>
 Experience working with Open-source products
 </li>
 <li>
 Experience with Scala development
 </li>
 <li>
 Working in an agile environment using test driven methodologies
 </li>
 <li>
 Systems administration skills in Linux
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Hybrid Working Model
 </li>
 <li>
 WFH Set Up Allowance
 </li>
 <li>
 30 Days of Remote Working from anywhere globally every year
 </li>
 <li>
 Employee discount for accommodation globally
 </li>
 <li>
 Global team of 90+ nationalities
 </li>
 <li>
 40+ offices and 25+ countries
 </li>
 <li>
 Annual CSR / Volunteer Time off
 </li>
 <li>
 Benevity Subscription for employee donations
 </li>
 <li>
 Volunteering opportunities globally
 </li>
 <li>
 Free Headspace subscription
 </li>
 <li>
 Free Odilo &amp; Udemy subscriptions
 </li>
 <li>
 Access to Employee Assistance Program (third party for personal and workplace support)
 </li>
 <li>
 Enhanced Parental Leave
 </li>
 <li>
 Life, TPD &amp; Accident Insurance
 
 
 </li>
 </ul>
 #telaviv #jerusalem #IT #ENG #4 #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #sydney #melbourne #perth #toronto #vancouver #montreal #shanghai #beijing #shenzhen #prague #Brno #Ostrava #cairo #alexandria #giza #estonia #paris #berlin #munich #hamburg #stuttgart #cologne #frankfurt #hongkong #budapest #jakarta #bali #dublin #telaviv #milan #rome #venice #florence #naples #turin #palermo #bologna #tokyo #osaka #kualalumpur #malta #amsterdam #oslo #manila #warsaw #krakow #doha #alrayyan #riyadh #jeddah #mecca #medina #singapore #seoul #barcelona #madrid #stockholm #zurich #taipei #tainan #taichung #kaohsiung #bangkok #Phuket #istanbul #london #manchester #edinburgh #hcmc #hanoi #lodz #wroclaw #poznan #katowice #rio #salvador #newdelhi #bangalore #bandung #yokohama #nagoya #okinawa #fukuoka #jerusalem #IT #4 #newdelhi #Pune #Hyderabad #Bangalore #Mumbai #Bengaluru #Chennai #Kolkata #Lucknow #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #sydney #melbourne #perth #toronto #vancouver #montreal #shanghai #beijing #shenzhen #prague #Brno #Ostrava #cairo #alexandria #giza #estonia #paris #berlin #munich #hamburg #stuttgart #cologne #frankfurt #hongkong #budapest #jakarta #bali #dublin #telaviv #milan #rome #tokyo #osaka #kualalumpur #amsterdam #oslo #manila #warsaw #krakow #bucharest #moscow #saintpetersburg #capetown #johannesburg #seoul #barcelona #madrid #stockholm #zurich #taipei #bangkok #Phuket #istanbul #london #manchester #edinburgh #kiev #hcmc #hanoi #wroclaw #poznan #katowice #rio #salvador #IT #4 #5
 
 
 
 Discover More About Working At Agoda
 
 
 
 <ul>
 <li>
 Agoda Careers https://careersatagoda.com
 </li>
 <li>
 Facebook https://www.facebook.com/agodacareers/
 </li>
 <li>
 LinkedIn https://www.linkedin.com/company/agoda
 </li>
 <li>
 YouTube https://www.youtube.com/agodalife
 
 
 </li>
 </ul>
 
 Equal Opportunity Employer
 
 
 
 At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person&rsquo;s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
 
 
 We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
 
 
 
 Disclaimer
 
 
 
 We do not accept any terms or conditions, nor do we recognize any agency&rsquo;s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.
 
 
</div>

Senior/Staff Machine Learning Engineer - Bidding (Bangkok based, relocation provided)

Egis Group

<div>Company Description 
Egis is a leading global architectural, consulting, construction engineering, operations and mobility services firm. We create and operate intelligent infrastructure and buildings that both respond to the climate emergency and contribute to balanced, sustainable and resilient development. Our 20,500 employees operate across over 100 countries, deploying their expertise to develop and deliver cutting-edge innovations and solutions for clients. Through the wide range of our activities, we are central to the collective organisation of society and the living environment of citizens all over the world.&quot;
With 3,500 employees across 8 countries in the Middle East, Egis has delivered over 700 complex development projects, stimulating economic growth and enhancing quality of life. Ranked among the top ten firms in the Middle East by Engineering News Record (ENR), Egis is committed to sustainable development. The Group&rsquo;s operations in the Middle East are built on strategic acquisitions and a deep understanding of local market conditions. Egis&rsquo; long history of providing comprehensive engineering, consulting, and project management services makes it a trusted partner for regional governments, investors, and developers. 
Job Description 
We are seeking a highly skilled and analytical Data Scientist to join our Roads Operations and Maintenance (O&amp;M) team in Doha, Qatar. In this role, you will leverage advanced data analytics and machine learning techniques to optimize road maintenance processes, improve infrastructure performance, and enhance overall transportation efficiency in Qatar.<ul><li>
Collect, process, and analyze large datasets related to road conditions, traffic patterns, and maintenance activities</li><li>
Develop and implement machine learning models to predict road deterioration and optimize maintenance schedules</li><li>
Create data visualization dashboards and reports to communicate insights to stakeholders effectively</li><li>
Collaborate with engineering teams to integrate data-driven insights into O&amp;M decision-making processes</li><li>
Design and maintain databases to store and manage road infrastructure data</li><li>
Utilize GIS technologies to perform spatial analysis of road networks and related infrastructure</li><li>
Develop predictive models to forecast traffic patterns and identify potential congestion areas</li><li>
Contribute to the development of data-driven strategies for improving road safety and reducing maintenance costs</li><li>
Stay up-to-date with the latest advancements in data science and machine learning techniques relevant to transportation infrastructure</li></ul> 

Qualifications 
<ul><li>
Master's degree in Data Science, Computer Science, Statistics, or a related field</li><li>
3-5 years of experience in data science or a related field, preferably in transportation or infrastructure analysis</li><li>
Strong proficiency in programming languages such as Python and R</li><li>
Expertise in advanced statistical analysis and machine learning algorithms</li><li>
Experience with big data technologies like Hadoop and Spark</li><li>
Proficiency in SQL and database management</li><li>
Skilled in data visualization tools such as Tableau or Power BI</li><li>
Experience with GIS (Geographic Information Systems) for spatial data analysis</li><li>
Knowledge of roads operations and maintenance (O&amp;M) processes and transportation infrastructure systems</li><li>
Strong analytical and problem-solving skills with attention to detail</li><li>
Excellent project management and organizational abilities</li><li>
Effective communication skills to present complex data insights to both technical and non-technical audiences</li><li>
Familiarity with Qatar's road network and transportation systems is preferred</li></ul> 

Additional Information</div>

Data Scientist (Roads O&M)

Omada Rail Systems

<div><ul><li>Services &amp; Operations
</li></ul><ul><li>Permanent Contract
</li></ul><ul><li>Mid-Senior Level
</li></ul><ul><li>Doha</li></ul></div>
 <div>About Us 
Egis is a leading global architectural, consulting, construction engineering, operations and mobility services firm. We create and operate intelligent infrastructure and buildings that both respond to the climate emergency and contribute to balanced, sustainable and resilient development. Our 20,500 employees operate across over 100 countries, deploying their expertise to develop and deliver cutting-edge innovations and solutions for clients. Through the wide range of our activities, we are central to the collective organisation of society and the living environment of citizens all over the world.&quot;
With 3,500 employees across 8 countries in the Middle East, Egis has delivered over 700 complex development projects, stimulating economic growth and enhancing quality of life. Ranked among the top ten firms in the Middle East by Engineering News Record (ENR), Egis is committed to sustainable development. The Group&rsquo;s operations in the Middle East are built on strategic acquisitions and a deep understanding of local market conditions. Egis&rsquo; long history of providing comprehensive engineering, consulting, and project management services makes it a trusted partner for regional governments, investors, and developers. 
About the Role 
We are seeking a highly skilled and analytical Data Scientist to join our Roads Operations and Maintenance (O&amp;M) team in Doha, Qatar. In this role, you will leverage advanced data analytics and machine learning techniques to optimize road maintenance processes, improve infrastructure performance, and enhance overall transportation efficiency in Qatar.<ul><li>
Collect, process, and analyze large datasets related to road conditions, traffic patterns, and maintenance activities</li><li>
Develop and implement machine learning models to predict road deterioration and optimize maintenance schedules</li><li>
Create data visualization dashboards and reports to communicate insights to stakeholders effectively</li><li>
Collaborate with engineering teams to integrate data-driven insights into O&amp;M decision-making processes</li><li>
Design and maintain databases to store and manage road infrastructure data</li><li>
Utilize GIS technologies to perform spatial analysis of road networks and related infrastructure</li><li>
Develop predictive models to forecast traffic patterns and identify potential congestion areas</li><li>
Contribute to the development of data-driven strategies for improving road safety and reducing maintenance costs</li><li>
Stay up-to-date with the latest advancements in data science and machine learning techniques relevant to transportation infrastructure</li></ul> 
What do we need from you 
<ul><li>
Master's degree in Data Science, Computer Science, Statistics, or a related field</li><li>
3-5 years of experience in data science or a related field, preferably in transportation or infrastructure analysis</li><li>
Strong proficiency in programming languages such as Python and R</li><li>
Expertise in advanced statistical analysis and machine learning algorithms</li><li>
Experience with big data technologies like Hadoop and Spark</li><li>
Proficiency in SQL and database management</li><li>
Skilled in data visualization tools such as Tableau or Power BI</li><li>
Experience with GIS (Geographic Information Systems) for spatial data analysis</li><li>
Knowledge of roads operations and maintenance (O&amp;M) processes and transportation infrastructure systems</li><li>
Strong analytical and problem-solving skills with attention to detail</li><li>
Excellent project management and organizational abilities</li><li>
Effective communication skills to present complex data insights to both technical and non-technical audiences</li><li>
Familiarity with Qatar's road network and transportation systems is preferred</li></ul> 
What's in it for you?</div>

University of Doha for Science & Technology

<div>
 
 Overview
 
 
 
 University of Doha for Science and Technology (UDST) is the first national applied University in the State of Qatar, offering applied bachelor&rsquo;s and master&rsquo;s degrees in addition to certificates and diplomas in various fields. UDST has over 50 programs in the fields of Engineering Technology and Industrial Trades, Business Management, Computing and Information Technology, Health Sciences, Continuing and Professional Education and more.
 
 
 With more than 700 staff and over 8,000 students, UDST is the destination for top-notch applied and experiential learning. The University is recognized for its student-centred learning and state-of-the-art facilities. Our faculty are committed to delivering pedagogically-sound learning experiences with the incorporation of innovative technological interventions, to further enhance students&rsquo; skills and help develop talented graduates that can effectively contribute to a knowledge-based economy and make Qatar&rsquo;s National Vision 2030 a reality.
 
 
 We are seeking a highly motivated Research Associate to join a collaborative research project between the University of Doha for Science and Technology (UDST) and a leading technology-driven business in Qatar. The ideal candidate will have a strong background in reinforcement learning, optimization, recommender systems, and applied machine learning, with a focus on developing advanced algorithms for inventory management and personalized customer experiences.
 
 
 
 Responsibilities
 
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Development of an Inventory Optimization Module
 </li>
 <li>
 Conduct research on safety stock management and reinforcement learning (RL) approaches.
 </li>
 <li>
 Prototype RL-driven inventory optimization algorithms.
 </li>
 <li>
 Integrate inventory optimization models with demand forecasting systems.
 </li>
 <li>
 Recommender System Development
 </li>
 <li>
 Develop context-aware recommender systems using knowledge graphs and session encoding techniques.
 </li>
 <li>
 Prototype and validate recommender algorithms for personalized recommendations.
 </li>
 <li>
 Integrate recommender models with inventory and forecasting systems.
 </li>
 <li>
 Microservices, MLOps &amp; Deployment
 </li>
 <li>
 Deploy RL optimizers and recommender systems as microservices.
 </li>
 <li>
 Build CI/CD pipelines for scalable and reliable deployment.
 </li>
 <li>
 Implement monitoring dashboards, drift detection, and performance alerts.
 </li>
 <li>
 Documentation, Training &amp; Academic Output
 </li>
 <li>
 Prepare technical documentation, API specifications, and system user guides.
 </li>
 <li>
 Contribute to case studies, final reports, and academic publications/patents.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Qualifications
 
 
 
 <ul>
 <li>
 Educational Background:
 </li>
 </ul>
 <ul>
 <li>
 </li>
 <ul>
 <li>
 Ph.D. in Computer Science, Operations Research, AI, or a related field, OR
 </li>
 <li>
 Master&rsquo;s degree in Computer Science/Engineering with at least 3 years of experience in optimization, recommender systems, or reinforcement learning.
 </li>
 <li>
 Technical Expertise:
 
 
 </li>
 </ul>
 </ul>
 <ul>
 <li>
 </li>
 <ul>
 <li>
 Strong knowledge of reinforcement learning, optimization algorithms, and recommender systems.
 </li>
 <li>
 Experience with simulation and A/B testing methodologies.
 </li>
 <li>
 Familiarity with knowledge graphs, session-based recommendation, and personalization techniques.
 </li>
 <li>
 Proficiency in deploying ML models as microservices and applying MLOps best practices
 </li>
 <li>
 Programming Skills:
 
 
 </li>
 </ul>
 </ul>
 <ul>
 <li>
 </li>
 <ul>
 <li>
 Strong programming skills in languages such as Python or R.
 </li>
 <li>
 Familiarity with machine learning libraries and frameworks (e.g., Scikit-Learn, TensorFlow, PyTorch) is a must.
 </li>
 <li>
 Analytical Skills/ Communication Skills:
 
 
 </li>
 </ul>
 </ul>
 <li>
 </li>
 <ul>
 <li>
 Ability to design, prototype, and validate optimization and recommendation algorithms.
 </li>
 <li>
 Strong documentation and presentation skills for both technical and non-technical stakeholders.
 </li>
 <li>
 Team Collaboration: Proven experience working in collaborative team environments and managing multiple tasks effectively.
 </li>
 </ul>
</div>

Research Associate – AI-Data Science with a focus on Inventory Optimization & Recommender Systems Specialist

University of Doha for Science and Technology

<div>Overview:

University of Doha for Science and Technology (UDST) is the first national applied University in the State of Qatar, offering applied bachelor&rsquo;s and master&rsquo;s degrees in addition to certificates and diplomas in various fields. UDST has over 50 programs in the fields of Engineering Technology and Industrial Trades, Business Management, Computing and Information Technology, Health Sciences, Continuing and Professional Education and more.
With more than 700 staff and over 8,000 students, UDST is the destination for top-notch applied and experiential learning. The University is recognized for its student-centred learning and state-of-the-art facilities. Our faculty are committed to delivering pedagogically-sound learning experiences with the incorporation of innovative technological interventions, to further enhance students&rsquo; skills and help develop talented graduates that can effectively contribute to a knowledge-based economy and make Qatar&rsquo;s National Vision 2030 a reality. 
We are seeking a highly motivated Research Associate to join a collaborative research project between the University of Doha for Science and Technology (UDST) and a leading technology-driven business in Qatar. The ideal candidate will have a strong background in reinforcement learning, optimization, recommender systems, and applied machine learning, with a focus on developing advanced algorithms for inventory management and personalized customer experiences.
Responsibilities: 
Key Responsibilities:
1. Development of an Inventory Optimization Module<ul><li>
Conduct research on safety stock management and reinforcement learning (RL) approaches.</li><li>
Prototype RL-driven inventory optimization algorithms.</li><li>
Integrate inventory optimization models with demand forecasting systems.</li></ul>
2. Recommender System Development<ul><li>
Develop context-aware recommender systems using knowledge graphs and session encoding techniques.</li></ul><ul><li>
Prototype and validate recommender algorithms for personalized recommendations.</li><li>
Integrate recommender models with inventory and forecasting systems.</li></ul>
3. Microservices, MLOps &amp; Deployment<ul><li>
Deploy RL optimizers and recommender systems as microservices.</li><li>
Build CI/CD pipelines for scalable and reliable deployment.</li><li>
Implement monitoring dashboards, drift detection, and performance alerts.</li></ul>
4. Documentation, Training &amp; Academic Output<ul><li>
Prepare technical documentation, API specifications, and system user guides.</li><li>
Contribute to case studies, final reports, and academic publications/patents.</li></ul>
Qualifications:

Qualifications:<ul><li>
Educational Background:</li><li><div><ul><li>
Ph.D. in Computer Science, Operations Research, AI, or a related field, OR</li><li>
Master&rsquo;s degree in Computer Science/Engineering with at least 3 years of experience in optimization, recommender systems, or reinforcement learning.</li></ul></div></li><li>
Technical Expertise:</li><li><div><ul><li>
Strong knowledge of reinforcement learning, optimization algorithms, and recommender systems.</li><li>
Experience with simulation and A/B testing methodologies.</li><li>
Familiarity with knowledge graphs, session-based recommendation, and personalization techniques.</li><li>
Proficiency in deploying ML models as microservices and applying MLOps best practices</li></ul></div></li><li>
Programming Skills:
</li><li><div><ul><li>Strong programming skills in languages such as Python or R.</li><li>
Familiarity with machine learning libraries and frameworks (e.g., Scikit-Learn, TensorFlow, PyTorch) is a must.</li></ul></div></li><li>
Analytical Skills/ Communication Skills:</li><li><div><ul><li>
Ability to design, prototype, and validate optimization and recommendation algorithms.</li><li>
Strong documentation and presentation skills for both technical and non-technical stakeholders.</li></ul></div></li><li>
Team Collaboration: Proven experience working in collaborative team environments and managing multiple tasks effectively.</li></ul></div>

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