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machine learning engineer, international public sector Jobs in Doha

machine learning engineer, international public sector

administrative intern

ai - internship for climate mrv systems Jobs in Doha

ai - internship for climate mrv systems

consulting intern

machine learning intern

RITS

<p><b>Machine Learning Engineer</b></p><p><b>Role Summary:</b><br/>Responsible for designing, developing, and deploying machine learning models and data-driven solutions.</p><p><b>Key Responsibilities:</b></p><ul><li>Build, train, and optimize ML models and algorithms.</li><li>Work with large datasets, preprocessing, feature engineering, and data pipelines.</li><li>Deploy ML models into production environments.</li><li>Collaborate with data engineers, software developers, and product teams.</li><li>Monitor model performance and retrain when required.</li></ul><p><b>Requirements:</b></p><ul><li>Bachelor&rsquo;s or Master&rsquo;s in Computer Science, AI, Data Science, or related field.</li><li>Strong knowledge of Python, TensorFlow/PyTorch, Scikit-learn.</li><li>Experience with APIs, model deployment, and cloud platforms (AWS/Azure/GCP).</li><li>Good understanding of statistics, NLP, or computer vision (optional).</li></ul><p>Job Types: Full-time, Permanent</p><p>Application Question(s):</p><ul><li>What is your expected salary?</li><li>What is your earliest availability to join?</li></ul><p>Education:</p><ul><li>Bachelor's (Required)</li></ul><p>Experience:</p><ul><li>Machine Learning Engineer: 3 years (Preferred)</li><li>knowledge of Python, TensorFlow/PyTorch, Scikit-learn: 2 years (Preferred)</li></ul><p>Location:</p><ul><li>Doha (Required)</li></ul>

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:
 <br/>
 <br/>
 <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
   <br/>
   <br/>
  </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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 <strong>
  You will:
  <br/>
  <br/>
 </strong>
 <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
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Ideally, you&rsquo;d have:
  <br/>
  <br/>
 </strong>
 <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
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Nice to haves:
  <br/>
  <br/>
 </strong>
 <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.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <em>
   PLEASE NOTE:
  </em>
 </strong>
 <em>
  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.
  <br/>
  <br/>
 </em>
 <strong>
  About Us:
  <br/>
  <br/>
 </strong>
 <em>
  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.
  <br/>
  <br/>
 </em>
 <em>
  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.
  <br/>
  <br/>
 </em>
 <em>
  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
 </em>
 <em>
  Know Your Rights poster
 </em>
 <em>
  for additional information.
  <br/>
  <br/>
 </em>
 <em>
  We comply with the United States Department of Labor's
 </em>
 <em>
  Pay Transparency provision
 </em>
 <em>
  .
  <br/>
  <br/>
 </em>
 <em>
  <strong>
   PLEASE NOTE:
  </strong>
  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.
 </em>
</div>


Machine Learning Engineer, International Public Sector

<div></div><div><div><div>Equal opportunity employer</div></div><div></div><div><div>
Remote-friendly culture</div></div><div></div><div><div>
Competitive benefits package</div></div></div>
<br><div><p>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:</p>
<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>
<div>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.</div>
<div>
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.</div>
<div><b>
You will:</b></div>
<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>
<div><b>Ideally, you&rsquo;d have:</b></div>
<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>
<div><b>Nice to haves:</b></div>
<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><div><div><b><i>
PLEASE NOTE: </i></b><i>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.</i></div>
<div><b>
About Us:</b></div>
<div><i>
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.</i></div>
<div><i>
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.</i></div>
<div><i>
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 </i><i>Know Your Rights poster</i><i> for additional information.</i></div>
<div><i>
We comply with the United States Department of Labor's </i><i>Pay Transparency provision</i><i>.</i></div>
<div><b><i>
PLEASE NOTE: </i></b><i>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 </i><i>privacy policy</i><i> for additional information.</i></div></div></div>

Global Green Growth Institute

<div></div><div><p><i>Please note that the deadline is based on Korean Standard Time Zone (KST, UTC+9)</i></p>
<h1 class="jobSectionHeader"><b>
INTRODUCTION TO GGGI</b></h1>
<p>
The Global Green Growth Institute (GGGI) is a treaty-based international, inter-governmental organization dedicated to supporting and promoting strong, inclusive and sustainable economic growth in developing countries and emerging economies. To learn more please visit about GGGI web page.</p>
<p>The GGGI Qatar Country Program, hosted at the Ministry of Environment and Climate Change (MECC) of the State of Qatar, is scaling up its activities to provide advisory and implementation support to Qatar in climate resilience and green growth projects in cooperation with MECC and relevant national and international stakeholders. GGGI is inviting applications for an internship position within the Qatar program.</p>
<p>
The GGGI internship program offers unique learning opportunities for students and recent graduates from diverse academic backgrounds. The program is designed for talented individuals skilled in areas relevant to GGGI&rsquo;s operations, providing insight into the work of the Institute and offering training in a multicultural environment. We strongly encourage applications from qualified women and men, particularly nationals of developing countries, with diverse professional, academic, and cultural backgrounds.</p>
<h1 class="jobSectionHeader">
ASSIGNMENT</h1>
<p>
We are looking for a talented and motivated individual to join the GGGI Qatar Office in Doha as an AI Intern for Climate MRV Systems to support the ongoing development of Qatar&rsquo;s National MRV Program and explore the integration of artificial intelligence into climate transparency systems. This opportunity is ideal for candidates passionate about climate change, data systems, and emerging technologies, who wish to gain hands-on experience at the intersection of AI, climate policy, and sustainability within an international organization.</p>
<p>
The assignment will include, but is not limited to, the following tasks:</p>
<ul>
<li>Support the implementation and enhancement of Qatar&rsquo;s National MRV Program, including research on the use of AI and data-driven approaches for improving climate data collection, reporting, and analysis.</li>
<li>Assist in preparing technical inputs, concept notes, and communication materials related to AI integration in MRV systems and national climate reporting.</li>
<li>Provide translation support (English&ndash;Arabic) to ensure effective communication and dissemination of project materials.</li>
<li>Assist in coordinating requirements for meetings, workshops and capacity building events related to logistics, participants confirmation, presentation materials, among others.</li>
<li>Assist in reviewing, editing, and proofreading GGGI knowledge products, technical reports, training and communication materials in line with GGGI guidelines.</li>
<li>Perform other tasks as required by the Project Manager.</li></ul><br>
<p></p>
<h1 class="jobSectionHeader">
ELIGIBILITY</h1>
<p>
Applicants to the GGGI internship program must, at the time of application, meet the following requirements:</p>
<ul>
<li>Be enrolled in a Bachelor&rsquo;s (final year), Master&rsquo;s or PhD program prior to internship assignment, or a recent graduate within the last 12 months.</li>
<li>Be engaged or recently engaged in academic study in a field directly related to the Institute&rsquo;s work.</li>
<li>Must possess legal right to work in Qatar. For international applicants, a valid visa permitting work or internship in the State of Qatar is required.</li>
<li>Proficiency in English essential and Arabic is beneficial.</li>
<li>Applicants must be available to commit to the full internship duration as agreed with the supervising staff.</li></ul><br>
<p></p><p><i>
Child protection &ndash; GGGI is committed to child protection, irrespective of whether any specific area of work involves direct contact with children. GGGI&rsquo;s Child Protection Policy is written in accordance with the Convention on the Rights of the Child.</i></p></div><p></p>

AI - Internship for Climate MRV Systems

Agoda

<div>
 <strong>
  About Agoda
  <br/>
  <br/>
 </strong>
 Agoda is an online travel booking platform for accommodations, flights, and more. We build and deploy cutting-edge technology that connects travelers with a global network of 4.7M hotels and holiday properties worldwide, plus flights, activities, and more. Based in Asia and part of Booking Holdings, our 7,100+ employees representing 95+ nationalities in 27 markets foster a work environment rich in diversity, creativity, and collaboration. We innovate through a culture of experimentation and ownership, enhancing the ability for our customers to experience the world.
 <br/>
 <br/>
 <strong>
  Our Purpose -
 </strong>
 <strong>
  Bridging the World Through Travel
  <br/>
  <br/>
 </strong>
 We believe travel allows people to enjoy, learn and experience more of the amazing world we live in. It brings individuals and cultures closer together, fostering empathy, understanding and happiness.
 <br/>
 <br/>
 We are a skillful, driven and diverse team from across the globe, united by a passion to make an impact. Harnessing our innovative technologies and strong partnerships, we aim to make travel easy and rewarding for everyone.
 <br/>
 <br/>
 <strong>
  Get to Know Our Team
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 <strong>
  Why Agoda Engineering Team (ML role)?
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 <strong>
  In this Role, you will get to:
  <br/>
  <br/>
 </strong>
 <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.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What You&rsquo;ll need to Succeed:
  <br/>
  <br/>
 </strong>
 <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.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  It&rsquo;s great if you have:
  <br/>
  <br/>
 </strong>
 <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
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 <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
   <br/>
   <br/>
  </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
 <br/>
 <br/>
 <strong>
  Discover More About Working At Agoda
  <br/>
  <br/>
 </strong>
 <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
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Equal Opportunity Employer
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 <strong>
  Disclaimer
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
</div>


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

Park Hyatt Doha

<div><div><p>Summary</p><div><p>
Park Hyatt Doha is looking for a passionate and enthusiastic Culinary Intern to join the team. This internship provides an excellent opportunity for students or recent graduates to gain real-world experience in a high-end hospitality setting. The intern will work alongside experienced chefs, learning the fundamentals of food preparation, kitchen operations, and culinary excellence.</p></div></div><div><p>
Qualifications</p><div><ul><li><p>
Currently enrolled in or recently graduated from a Culinary or Hospitality program.</p></li><li><p>
Passion for cooking and learning about international cuisine.</p></li><li><p>
Strong attention to detail and commitment to quality.</p></li><li><p>
Ability to work in a fast-paced, team-oriented environment.</p></li><li><p>
Willingness to learn and adapt to new challenges.</p></li><li><p>
Flexibility to work shifts, including weekends and holidays.</p><p>
 Previous kitchen experience is a plus but not required.</p><p></p><p><br>
If you are passionate about hospitality and eager to gain invaluable industry experience, we would love to hear from you!</p><p></p><p><br>
Apply today and start your journey with us!<br>
________________________________________<br>
<i>Park Hyatt Doha is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.</i></p></li></ul></div></div></div>

CULINARY INTERN

COZMALABS

<p>We are looking for an experienced AI Engineer to develop, implement, and optimize AI models and algorithms. The ideal candidate will have a strong background in machine learning, data science, and software engineering. As a remote AI Engineer, you'll work closely with cross-functional teams to design and deploy AI solutions that address complex challenges and deliver impactful results.</p><p><b>Key Responsibilities:</b></p><ul><li><b>AI Model Development:</b> Design, build, and refine machine learning models and algorithms to solve specific problems.</li><li><b>Data Analysis:</b> Analyze and preprocess large datasets to extract meaningful insights and features for model training.</li><li><b>Collaboration:</b> Work with product managers, data scientists, and software engineers to integrate AI solutions into products and services.</li><li><b>Performance Optimization:</b> Monitor, evaluate, and improve the performance of AI models through rigorous testing and tuning.</li><li><b>Research &amp; Innovation:</b> Stay up-to-date with the latest advancements in AI and machine learning, and apply cutting-edge techniques to our projects.</li><li><b>Documentation:</b> Create and maintain comprehensive documentation for models, algorithms, and workflows.</li><li><b>Support &amp; Maintenance:</b> Provide ongoing support for deployed AI systems, addressing issues and implementing improvements as needed.</li></ul><p><b>Qualifications:</b></p><ul><li><b>Education:</b> Bachelor's or Master&rsquo;s degree in Computer Science, Engineering, Mathematics, or a related field. PhD is a plus.</li><li><b>Experience:</b> Proven experience in AI/ML engineering, with a strong portfolio of projects or publications.</li><li><b>Skills:</b> Proficiency in programming languages such as Python, Java, or C++. Experience with AI frameworks like TensorFlow, PyTorch, or Keras.</li><li><b>Knowledge:</b> Solid understanding of machine learning algorithms, deep learning, natural language processing, and computer vision.</li><li><b>Tools:</b> Familiarity with data manipulation tools (e.g., Pandas, NumPy) and cloud platforms (e.g., AWS, Google Cloud, Azure).</li><li><b>Soft Skills:</b> Excellent problem-solving abilities, strong analytical skills, and effective communication skills. Ability to work independently and manage multiple projects in a remote environment.</li></ul><p>Job Type: Full-time</p>

AI Engineer

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339 machine learning intern jobs IN Doha

Machine Learning Engineer

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CULINARY INTERN

AI Engineer