ai researcher

UAE CHINA CHAMBER OF COMMERCE

<p><b>AI Researcher - Technology &amp; Innovation</b></p><p><b>Company:</b> UAE-China Chamber of Commerce<br/><b>Location:</b> Dubai, UAE<br/><b>Employment Type:</b> Full-time</p><p><b>About UAE-China Chamber of Commerce</b></p><p>The UAE-China Chamber of Commerce serves as a vital bridge connecting businesses between the United Arab Emirates and China, fostering trade relationships and promoting economic cooperation.</p><p><b>Position Overview</b></p><p>We are seeking a dedicated AI Researcher to join our Research &amp; Innovation department in Dubai. You will conduct comprehensive research on artificial intelligence, emerging technologies, and their impact on international business and trade.</p><p><b>Key Responsibilities</b></p><ul><li><b>AI Research:</b> Conduct in-depth research on AI trends, machine learning, deep learning, and automation technologies across various industries</li><li><b>Analysis &amp; Documentation:</b> Prepare comprehensive research reports, case studies, and business impact analysis for UAE-China trade applications</li><li><b>Routine Research:</b> Weekly technology reviews, monthly trend reports, quarterly strategic assessments, and daily monitoring of AI developments</li><li><b>Stakeholder Communication:</b> Present findings to chamber executives and members, participate in technology forums, and support business development initiatives</li></ul><p><b>Preferred Qualifications</b></p><ul><li>PhD in AI or Computer Science</li><li>Published research papers in AI/technology journals</li><li>Experience in fintech, logistics, or international trade technology</li><li>Knowledge of UAE and China technology ecosystems</li><li>AWS, Google Cloud, or Azure AI certifications</li></ul><p><b>Research Focus Areas</b></p><ul><li><b>AI in International Trade</b> and cross-border e-commerce solutions</li><li><b>Automation Technologies</b> for business operations and logistics</li><li><b>FinTech Applications</b> and financial technology innovations</li><li><b>Generative AI</b> and large language models</li><li><b>IoT, Blockchain,</b> and emerging technologies</li></ul><p><b>What We Offer</b></p><ul><li><b>Competitive salary</b></li><li>Annual performance bonuses</li><li>Professional development budget for conferences and certifications</li><li>Access to premium research databases and academic journals</li><li>State-of-the-art research facilities with high-performance computing resources</li><li>International collaboration opportunities</li></ul><p><b>Research Output Expectations</b></p><ul><li><b>Weekly:</b> Technology news summaries and trend alerts</li><li><b>Monthly:</b> Comprehensive research reports (15-20 pages)</li><li><b>Quarterly:</b> Strategic technology assessments</li><li><b>Annually:</b> Major publications and conference presentations</li></ul><p><b>Application Requirements</b></p><p>Please submit:</p><ul><li><b>CV/Resume</b> with research experience and publications</li><li><b>Research Portfolio</b> (reports, papers, AI/ML projects)</li><li><b>Cover letter</b> explaining research interests</li><li><b>Research Proposal:</b> 500-word outline on AI's impact on UAE-China trade</li><li><b>Academic transcripts</b> and certifications</li><li><b>Professional references</b></li></ul><p><b>How to Apply</b></p><p><b>Email: </b>we@aifod.org<br/><b>Subject:</b> AI Researcher Application - [Your Name]</p><p><b>Important Notes</b></p><ul><li>Immediate availability preferred</li></ul><p><i>Equal opportunity employer committed to diversity and innovation. Application deadline: Open until filled</i></p><p>Job Types: Full-time, Contract</p><p>Experience:</p><ul><li>The research on ai, technology, conduct the research: 2 years (Required)</li></ul><p>Job Types: Full-time, Temporary, Contract, Fresher<br/>Contract length: 6 months</p>

AI Researcher

King Abdullah University of Science and Technology

<div></div><div><div><div><div><div><div><div><div>Postdoctoral Research Fellow Position in Applied Artificial Intelligence and IoT</div>
</div></div></div><div></div><div><div><div><div><div>King Abdullah University of Science and Technology: Postdoc Positions: Computer, Electrical and Mathematical Science and Engineering Division (postdoc)
</div></div></div><div><div><h3 class="jobSectionHeader"><b>Location
</b></h3><div>King Abdullah University of Science and Technology (KAUST), Saudi Arabia
</div></div><div><h3 class="jobSectionHeader"><b>Open Date
</b></h3><div>Sep 11, 2025
</div></div><div><h3 class="jobSectionHeader"><b>Deadline
</b></h3><div>Oct 11, 2025 at 11:59 PM Eastern Time
</div></div></div><div><div><h3 class="jobSectionHeader"><b>Description
</b></h3><div><div><p>King Abdullah University of Science and Technology (KAUST) invites applications for a Postdoctoral Researcher position in the field of Applied Artificial Intelligence and Internet of Things (IoT). The successful candidate will join the Integrated Intelligent Systems (I2S) Lab, led by Prof. Gianluca Setti, and contribute to cutting-edge research at the intersection of AI and IoT.</p>
<p>
We are seeking talented researchers who have recently completed, or are about to complete, their Ph.D. and are eager to advance their careers by engaging in challenging, innovative, and high-impact research. This position offers a unique opportunity to actively shape the lab&rsquo;s research agenda and work on ambitious, multidisciplinary projects.</p>
<p><b>
About KAUST</b></p>
<p>
Established in 2009, King Abdullah University of Science and Technology (KAUST) is a graduate research university devoted to finding solutions for some of the most pressing scientific and technological challenges in the world as well as Saudi Arabia in the areas of food and health, water, energy, environment and the digital domain. KAUST is a curiosity-driven, interdisciplinary</p>
<p>
KAUST brings together the best minds from around the world to advance research. More than 100 different nationalities live, work and study on campus. KAUST is also a catalyst for innovation, economic development and social prosperity, with research resulting in novel patents and products, enterprising startups, regional and global initiatives, and collaboration with other academic institutions, industries and Saudi agencies.</p>
<p><b>
What We Offer</b></p>
<ul>
<li>World-class research environment with state-of-the-art laboratory facilities.</li>
<li>An exciting international workplace, hosting researchers from over 100 nationalities with opportunities to actively contribute with renowned experts and enhance your career development and training (https://opra.kaust.edu.sa).</li>
<li>Comprehensive benefits package, including competitive salary, health insurance, and access to outstanding campus amenities and services.</li>
</ul></div></div></div></div><div><div><h3 class="jobSectionHeader"><b>Qualifications
</b></h3><div><div><ul><li>Ph.D. in a relevant field (e.g., Electrical/Computer Engineering, Computer Science, or related disciplines);</li>
<li>Proven research track record with a strong publication record in relevant areas;</li>
<li>Excellent written and verbal communication skills in English (mandatory);</li>
<li>Ability to work independently, demonstrate critical thinking, and contribute to a collaborative research environment;</li>
<li>Proven experience in mentoring graduate students is desired;</li>
<li>Experience in anomaly detection, predictive maintenance, or related topics is preferred.</li>
</ul></div></div></div></div><div><div><h3 class="jobSectionHeader"><b>Application Instructions
</b></h3><div><div><p>The position is open to applicants of all nationalities. Interested candidates should submit:</p>
<ul>
<li>Curriculum Vitae (CV), including your list of publications;</li>
<li>Cover letter describing research interests and career goals;</li>
<li>Copies of Transcripts showing courses taken during the M.S./Ph.D. degree programs;</li>
<li>Contact information for three referees.</li>
</ul></div></div></div></div></div><div><div><div><h3 class="jobSectionHeader"><b>Application Process
</b></h3><div>This institution is using Interfolio's Faculty Search to conduct this search. Applicants to this position receive a free Dossier account and can send all application materials, including confidential letters of recommendation, free of charge.</div></div></div></div></div></div></div></div></div><p></p>

POSTDOCTORAL RESEARCH FELLOW POSITION IN APPLIED ARTIFICIAL INTELLIGENCE AND IOT

<div></div><div><div>Job Description:</div><div></div><div>
AI Data Science Research Specialist</div><div></div><div>
Collaborate with Innovative 3Mers Around the World</div><div>
Choosing where to start and grow your career has a major impact on your professional and personal life, so it&rsquo;s equally important you know that the company that you choose to work at, and its leaders, will support and guide you. With a wide variety of people, global locations, technologies and products, 3M is a place where you can collaborate with other curious, creative 3Mers.</div><div></div><div>
This position provides an opportunity to transition from other private, public, government or military experience to a 3M career.</div><div></div><div>
The Impact You&rsquo;ll Make in this Role</div><div>
As an AI Data Science Research Specialist in 3M&rsquo;s Corporate Research Laboratory, you will work on a team developing novel learning system frameworks. You will have the opportunity to tap into your curiosity and collaborate with some of the most innovative people around the world. We&rsquo;re looking for a data researcher familiar working with statistics and experience creating data structures on neural networks who can work closely with other research scientists to implement experimental systems, simulation infrastructure, and architecture modifications. This role will create research code creating real time data management methods including parallelization. This is a great fit for someone who enjoys solving new data handling problems, creating new fundamental methods, iterative design, and working closely with other technical thinkers.</div><div></div><div>
Here, you will make an impact by:</div><ul><li><div>
Write modular, testable code to implement real time data management methods, statistics, or architectural mechanisms.</div></li><li>
Work from whiteboards, specs, and conversations&mdash;not product docs.</li><li>
Extend an evolving codebase that supports structured learning experiments.</li><li>
Help organize internal data structure for system components (e.g., experimental runners, memory modules, parameter schedulers).</li><li>
Write structured logging and diagnostic tools to support hypothesis-driven debugging.</li><li>
Collaborate with other researchers who define the &ldquo;what&rdquo;; your job is to create the &ldquo;how.&rdquo;</li></ul><div></div><div>
Your Skills and Expertise:</div><div>
To set you up for success in this role from day one, 3M requires (at a minimum) the following qualifications:</div><ul><li>
Ph.D. in Data Science, Computer Science, Software Engineering, or a related field (completed and verified prior to start) from an accredited university.</li><li>
Five (5) years of experience in fundamental data science research and implementation in academic, private, public, government, or military environment.</li></ul><div></div><div>
Additional qualifications that could help you succeed even further in this role include:</div><ul><li>
Strong fluency in coding, including object-oriented programming and functional idioms.</li><li>
Experience working in scientific, data-intensive, or ML-related environments.</li><li>
Comprehensive understanding of deep learning internals (embeddings, attention, optimization) and the ability to think critically about fundamental data structures and management.</li><li>
Experience implementing statistics in a research environment including detection theory, frequentist and Bayesian methods, and estimation theory.</li><li>
Working knowledge of neuro-symbolic AI systems.</li><li>
Comfortable building and modifying systems from scratch.</li><li>
Interest in systems that involve simulation, learning, or recursive dynamics.</li><li>
Familiarity with fundamental concepts of data parallelization and real time management in neural networks.</li><li>
Experience with visualization methods in structured probabilistic models.</li><li>
Able to work on a team where the problem is evolving, and code is shared.</li><li>
Curious, fast learner, solid communicator.</li><li>
Strong fluency in Python.</li></ul><div></div><div>
Work location: Remote in the United States</div><div>
Travel: up to 20% domestic travel</div><div>
Relocation Assistance: May be authorized for relocation to Maplewood, MN</div><div></div><div>
Supporting Your Well-being</div><div>
3M offers many programs to help you live your best life &ndash; both physically and financially. To ensure competitive pay and benefits, 3M regularly benchmarks with other companies that are comparable in size and scope.</div><div></div><div>
Chat with Max</div><div>
For assistance with searching through our current job openings or for more information about all things 3M, visit Max, our virtual recruiting assistant on 3M.com/careers.</div><div></div>
Applicable to US Applicants Only:The expected compensation range for this position is $141,150 - $172,517, which includes base pay plus variable incentive pay, if eligible. This range represents a good faith estimate for this position. The specific compensation offered to a candidate may vary based on factors including, but not limited to, the candidate&rsquo;s relevant knowledge, training, skills, work location, and/or experience. In addition, this position may be eligible for a range of benefits (e.g., Medical, Dental &amp; Vision, Health Savings Accounts, Health Care &amp; Dependent Care Flexible Spending Accounts, Disability Benefits, Life Insurance, Voluntary Benefits, Paid Absences and Retirement Benefits, etc.). Additional information is available at: https://www.3m.com/3M/en_US/careers-us/working-at-3m/benefits/.<div></div>
Good Faith Posting Date Range 09/24/2025 To 10/24/2025 Or until filled<div></div>
All US-based 3M full time employees will need to sign an employee agreement as a condition of employment with 3M. This agreement lays out key terms on using 3M Confidential Information and Trade Secrets. It also has provisions discussing conflicts of interest and how inventions are assigned. Employees that are Job Grade 7 or equivalent and above may also have obligations to not compete against 3M or solicit its employees or customers, both during their employment, and for a period after they leave 3M.<div></div>
Learn more about 3M&rsquo;s creative solutions to the world&rsquo;s problems at www.3M.com or on Instagram, Facebook, and LinkedIn @3M.<div></div>
Responsibilities of this position include that corporate policies, procedures and security standards are complied with while performing assigned duties.<div></div>
Safety is a core value at 3M. All employees are expected to contribute to a strong Environmental Health and Safety (EHS) culture by following safety policies, identifying hazards, and engaging in continuous improvement.<div></div>
Pay &amp; Benefits Overview: https://www.3m.com/3M/en_US/careers-us/working-at-3m/benefits/<div></div>
3M does not discriminate in hiring or employment on the basis of race, color, sex, national origin, religion, age, disability, veteran status, or any other characteristic protected by applicable law.<div></div><div>
Please note: your application may not be considered if you do not provide your education and work history, either by: 1) uploading a resume, or 2) entering the information into the application fields directly.</div><div></div><div>
3M Global Terms of Use and Privacy Statement</div><div><br>
Carefully read these Terms of Use before using this website. Your access to and use of this website and application for a job at 3M are conditioned on your acceptance and compliance with these terms.</div></div><div></div>

AI Data Science Research Specialist

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Are you interested in a unique opportunity to advance the accuracy and efficiency of Artificial General Intelligence (AGI) systems? If so, you're at the right place!
<br>
<br>
As a Quantitative Researcher on our team, you will be working at the intersection of mathematics, computer science, and finance, you will collaborate with a diverse team of engineers in a fast-paced, intellectually challenging environment where innovative thinking is encouraged and rewarded.<br>
<br>
We operate at Amazon's large scale with the energy of a nimble start-up. If you have a learner's mindset, enjoy solving challenging problems, and value an inclusive team culture, you will thrive in this role, and we hope to hear from you.<br>
<br>
<br>
<br>
Key job responsibilities<br>
<ul><li>Conduct statistical analyses on web-scale datasets to develop state-of-the-art multimodal large language models</li><li>Conceptualize and develop mathematical models, data sampling and preparation strategies to continuously improve existing algorithms</li><li>Identify and utilize data sources to drive innovation and improvements to our LLMs</li></ul><br>
About the team<br>
We are passionate engineers and scientists dedicated to pushing the boundaries of innovation. We evaluate and represent the customer perspective through accurate benchmarking.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of building machine learning models for business application experience</li><li>PhD, or Master's degree and 6+ years of applied research experience</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience with neural deep learning methods and machine learning</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.</li><li>Experience with large scale distributed systems such as Hadoop, Spark etc.</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<br>
<br>
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Applied Scientist, AGIF

Mashreq

<div>
 <p>
  Job Purpose
 </p>
 <p>
  <br/>
 </p>
 <p>
  To lead and deliver AI initiatives with a focus on both traditional machine learning and cutting-edge generative AI. The role demands strong engineering capabilities to build, scale, and productionize models that drive business transformation, operational efficiency, and customer experience.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Key result Areas
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Develop and deploy machine learning models for classification, regression, clustering, and anomaly detection across business domains.
  </li>
  <li>
   Design and fine-tune generative AI models (e.g., LLMs, transformers, diffusion models) for applications such as document summarization, synthetic data generation, intelligent assistants, and automated content creation.
  </li>
  <li>
   Build robust data pipelines and model serving infrastructure using MLOps best practices to ensure scalability, reliability, and maintainability.
  </li>
  <li>
   Collaborate with cross-functional teams to identify AI opportunities and translate business needs into technical solutions.
  </li>
  <li>
   Ensure compliance with AI governance, risk strategy, and ethical standards.
  </li>
  <li>
   Mentor junior data scientists and contribute to the AI Center of Excellence.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  Knowledge, Skills and Experience
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Master&rsquo;s or PhD in Computer Science, Machine Learning, or related field.
  </li>
  <li>
   7+ years of experience in AI/ML, including 2+ years in generative AI.
  </li>
  <li>
   Strong engineering skills in Python, SQL, and cloud platforms (Azure, AWS, GCP).
  </li>
  <li>
   Experience with MLOps tools (e.g., MLflow, Kubeflow, Airflow) and containerization (Docker, Kubernetes).
  </li>
  <li>
   Proficiency in deep learning frameworks (PyTorch, TensorFlow) and LLMs.
  </li>
  <li>
   Strong understanding of prompt engineering, fine-tuning, and model evaluation.
  </li>
  <li>
   Excellent communication and stakeholder engagement skills.
  </li>
 </ul>
 <p>
 </p>
</div>


AVP, Data Scientist (Mashreq Global Network Pakistan)

Dicetek LLC

<div>
 <strong>
  Job Overview
  <br/>
  <br/>
 </strong>
 We are looking for an experienced
 <strong>
  AI Specialist with a strong focus on Generative AI (GenAI)
 </strong>
 to drive innovation and AI adoption across our organization. This role will identify high-value GenAI use cases, advise departments on AI-driven solutions, lead AI projects, and stay at the forefront of emerging GenAI technologies. The ideal candidate will have deep expertise in
 <strong>
  large language models (LLMs), generative AI frameworks, multimodal AI, and AI automation
 </strong>
 , along with the ability to translate these into
 <strong>
  practical business applications
 </strong>
 that enhance efficiency, creativity, and decision-making.
 <br/>
 <br/>
 You will collaborate with
 <strong>
  cross-functional teams
 </strong>
 to develop and integrate AI-powered solutions that optimize operations, enhance customer engagement, and unlock new growth opportunities.
 <br/>
 <br/>
 <strong>
  Qualifications &amp; Requirements
  <br/>
  <br/>
 </strong>
 <strong>
  Education &amp; Experience:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's or Master&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
  </li>
  <li>
   3+ years of experience in AI, machine learning, or natural language processing (NLP).
  </li>
  <li>
   Proven experience working with LLMs, text-to-image models, and generative AI applications.
  </li>
  <li>
   Strong understanding of deep learning, transformer architectures, reinforcement learning, and diffusion models.
  </li>
  <li>
   Familiarity with cloud-based AI services (AWS Bedrock, Azure OpenAI, Google Vertex AI) and MLOps best practices.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Technical Skills
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Proficiency in programming languages such as Python, TensorFlow, PyTorch, and Hugging Face Transformers.
  </li>
  <li>
   Experience working with APIs for OpenAI, Anthropic, Cohere, and Stability AI.
  </li>
  <li>
   Hands-on experience with prompt engineering, fine-tuning LLMs, and retrieval-augmented generation (RAG) techniques.
  </li>
  <li>
   Knowledge of vector databases (FAISS, Pinecone, ChromaDB) for efficient AI search and retrieval.
  </li>
  <li>
   Strong understanding of data privacy, AI ethics, and regulatory compliance (e.g., GDPR, AI Act, CCPA).
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Soft Skills &amp; Competencies
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Strong analytical and problem-solving skills with a business-oriented AI mindset.
  </li>
  <li>
   Excellent communication skills, with the ability to simplify complex AI concepts for non-technical stakeholders.
  </li>
  <li>
   Ability to drive AI adoption and manage change across teams.
  </li>
  <li>
   Project management skills with experience in leading AI initiatives across an organization.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Certifications in AI/ML (e.g., Google Professional ML Engineer, AWS Certified Machine Learning, OpenAI API Certification).
  </li>
  <li>
   Experience in deploying AI-powered chatbots, virtual assistants, or personalized AI solutions.
  </li>
  <li>
   Background in digital transformation, AI-driven content creation, or AI-enhanced customer experience.
  </li>
  <li>
   Experience with multi-agent AI systems, self-learning models, and real-time AI applications.
  </li>
 </ul>
</div>


AI Specialist (Generative AI Focus)

eksathi

<p><b>Calling All AI &amp; ML Professionals Across Delhi NCR!</b></p><p>We are collaborating with leading companies and institutes across multiple locations in Delhi NCR to bring you the best AI &amp; ML job opportunities.</p><p>If you&rsquo;re a passionate AI/ML professional looking for career growth, <b>Eksathi</b> is the platform for you.</p><p>&#9989; Find AI &amp; ML jobs across reputed companies and institutes<br/>&#9989; Apply directly &ndash; free of cost<br/>&#9989; Connect with recruiters and organizations easily</p><p><b>Register now on Eksathi.com</b><br/>to explore current and upcoming AI &amp; ML openings!</p><p>Let <b>Eksathi</b> help you find the right AI/ML career opportunity in Delhi NCR.</p><p>Job Types: Full-time, Part-time, Permanent, Fresher, Contractual / Temporary<br/>Contract length: 12 months</p><p>Pay: &#8377;8,609.86 - &#8377;38,712.92 per month</p><p>Benefits:</p><ul><li>Work from home</li></ul><p>Work Location: In person</p>

AI ML Teachers Delhi NCR India

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