ai researcher

Stealth Company

<p><i><b>AI Researcher &ndash; Computer Vision </b></i></p><p><b>Location</b>: Chandigarh<br/><b>Experience</b>: 3&ndash;7 years<br/><b>Department</b>: AI Research &amp; Innovation<br/><b>Employment Type</b>: Full-time</p><p><b>About the Role </b></p><p>We are looking for a passionate AI Research Scientist with expertise in Computer Vision and Video Understanding to join our AI Research Team. You will work on developing deep learning&ndash;based solutions that help machines interpret, analyze, and understand complex video content.<br/>The role focuses on applied research, model development, and prototyping of scalable AI solutions that can be deployed across enterprise use cases.</p><p><b>Key Responsibilities </b></p><ul><li>Research and prototype deep learning models for video understanding, including:</li><li>Action and gesture recognition</li><li>Object tracking and temporal event detection</li><li>Video summarization and scene understanding</li><li>Deepfake and manipulated content detection</li><li>Implement and optimize architectures such as 3D CNNs, Vision Transformers, and Temporal Models.</li><li>Contribute to dataset design, annotation, and preprocessing pipelines for video-based training.</li><li>Conduct experiments to benchmark and improve model accuracy, robustness, and inference performance.</li><li>Collaborate with senior researchers and engineering teams to integrate research outputs into production systems.</li><li>Stay updated on the latest research in video AI, multimodal learning, and transformer architectures, and evaluate their practical applications.</li><li>Document methodologies, publish internal reports, and contribute to patents or external publications where applicable.</li></ul><p><b>Required Qualifications </b></p><ul><li>Master&rsquo;s degree or higher in Computer Science, Electrical Engineering, or related field.</li><li>3&ndash;7 years of experience in computer vision or deep learning research, with a focus on video data.</li><li>Strong programming skills in Python and experience with PyTorch or TensorFlow.</li><li>Hands-on experience with spatio-temporal models such as I3D, SlowFast, or TimeSformer.</li><li>Solid understanding of feature extraction, self-supervised learning, and transformer-based architectures.</li><li>Experience working with video datasets like Kinetics, Something-Something, or DFDC.</li><li>Proven ability to run experiments end-to-end &mdash; from data preparation to evaluation and reporting.</li><li>Strong analytical thinking and communication skills.</li><li>Should have published papers or patents or invented new architectures for model enhancements.</li></ul><p><b>Preferred Qualifications </b></p><ul><li>Experience in multimodal AI (vision + audio + text) or generative video modeling.</li><li>Exposure to video forensics or media authenticity detection.</li><li>Experience with distributed training, GPU optimization, or MLOps pipelines.</li><li>Familiarity with open-source frameworks such as Hugging Face, OpenMMLab, or PyTorch Lightning.</li></ul><p>Job Types: Full-time, Permanent</p><p>Pay: &#8377;397,020.86 - &#8377;1,745,814.57 per year</p><p>Work Location: In person</p>

AI Researcher – Computer Vision

DataRobot

<div><div>Job Description:</div><div></div><div>
DataRobot delivers AI that maximizes impact and minimizes business risk. Our platform and applications integrate into core business processes so teams can develop, deliver, and govern AI at scale. DataRobot empowers practitioners to deliver predictive and generative AI, and enables leaders to secure their AI assets. Organizations worldwide rely on DataRobot for AI that makes sense for their business &mdash; today and in the future.</div><div></div><div>
DataRobot is looking for enthusiastic, creative, motivated candidates to join us for an Internship. We recognize the value that Interns bring to our organization, and we want to offer you an opportunity to grow and develop your professional experience and competencies.</div><div></div><div>
What does it take?</div><ul><li><div>
Research experience, including internships, full-time, or at a lab.</div></li><li><div>
Experience contributing to research communities or efforts, including publishing papers in major conferences or journals.</div></li><li><div>
Experience with one or more general purpose programming languages (e.g., Python, Java, JavaScript, C/C++, etc.).</div></li><li><div>
Interest in working with Generative AI, LLMs, and AI agents.</div></li></ul><div>
Is this You?</div><ul><li><div>
Currently enrolled in a PhD degree in Computer Science or related technical field.</div></li><li><div>
Experienced in one or more AI related areas such as Natural Language Understanding, Machine Learning, Deep Learning, Reinforcement Learning, or Prompt Engineering.</div></li><li><div>
Strong publication record demonstrating the ability to carry out novel independent research.</div></li><li><div>
Strong verbal and written communication skills.</div></li><li><div>
Ability to take initiative on projects and tasks and deliver on these.</div></li><li><div>
Team-oriented and eager to learn.</div></li></ul><div>
What you get in return:</div><ul><li><div>
We move fast and reward hard work. We expect results, and we love doing the work we&rsquo;re passionate about.</div></li><li><div>
Our employees have a voice in what we do! We continually challenge and support each other to find better, more robust solutions for customers and partners. After all, it&rsquo;s our customers that make us tick.</div></li><li><div>
We like to have fun along the way! We genuinely like each other and enjoy spending time together at company outings.</div></li><li><div>
We&rsquo;re global. We are an international company supporting international customers, and we know that regular collaboration across the globe is how the best ideas come about.</div></li><li><div>
We&rsquo;re committed to building a company culture where every individual can bring their full impact and reach their fullest potential. Our mission is to build a diverse and inclusive environment where dedicated people of all cultures, perspectives, backgrounds, races, genders, religions, orientations, abilities, and ages can 10x their lives.</div></li><li><div>
Flexible time off - we trust you to take the time you need when you feel it is appropriate, given your workload and responsibilities.</div></li></ul><div></div><div>
The talent and dedication of our employees are at the core of DataRobot&rsquo;s journey to be an iconic company. We strive to attract and retain the best talent by providing competitive pay and benefits with our employees&rsquo; well-being at the core. Here&rsquo;s what your benefits package may include depending on your location and local legal requirements: Medical, Dental &amp; Vision Insurance, Flexible Time Off Program, Paid Holidays, Paid Parental Leave, Global Employee Assistance Program (EAP) and more!</div><div></div><div>
DataRobot Operating Principles:</div><ul><li>
Wow Our Customers</li><li>
Set High Standards</li><li>
Be Better Than Yesterday</li><li>
Be Rigorous</li><li>
Assume Positive Intent</li><li>
Have the Tough Conversations</li><li>
Be Better Together</li><li>
Debate, Decide, Commit</li><li>
Deliver Results</li><li>
Overcommunicate</li></ul><div><br>
Research shows that many women only apply to jobs when they meet 100% of the qualifications while many men apply to jobs when they meet 60%. At DataRobot we encourage ALL candidates, especially women, people of color, LGBTQ+ identifying people, differently abled, and other people from marginalized groups to apply to our jobs, even if you do not check every box. We&rsquo;d love to have a conversation with you and see if you might be a great fit.</div><div></div><div>
DataRobot is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. DataRobot is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. Please see the United States Department of Labor&rsquo;s EEO poster and EEO poster supplement for additional information.</div><div></div><div>
All applicant data submitted is handled in accordance with our <div>Applicant Privacy Policy</div>.</div></div>

AI Researcher Intern

University of Wollongong in Dubai

<div>
 <p>
  <strong>
   About UOWD
  </strong>
 </p>
 <p>
  Established in 1951 and ranked in the top 1% of universities worldwide*, Australia&rsquo;s University of Wollongong is a global brand with international campuses in Dubai, Hong Kong and Malaysia.
 </p>
 <p>
  University of Wollongong Dubai (UOWD) offers over 40 internationally recognised bachelor and master degrees spanning 10 in-demand industry sectors. All of our degree courses are accredited by the UAE Ministry of Education&rsquo;s Commission for Academic Accreditation (CAA) and licensed by Dubai&rsquo;s Knowledge and Human Development Authority (KHDA), as well as being recognised by leading professional organisations such as AACSB, ACCA, ACS, CIM, CIPD, CPA, Engineers Australia, PMI, and others.
 </p>
 <p>
  <br/>
 </p>
 <p>
  The first internationally accredited Australian university in the UAE, we are the education gateway of choice for over 3,500 students, representing 100+ nationalities. Our global community of 152,000 alumni are pursuing career goals with respected blue-chip companies and industry giants such as 3M, ADCB, Adidas, Amazon, Deloitte, Emirates, FedEx, GE, IBM, Microsoft and Pepsico. Additionally, research reveals that 83%** of fresh graduates are employed within six months of graduation.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Life at UOWD is rooted in the continued pursuit of excellence through teaching, research and industry engagement, with the student experience at its heart. Our 200,000-square-foot campus at Dubai Knowledge Park features access to cutting-edge technologies and a mix of traditional and innovative learning spaces, all housed in a vibrant modern setting that promises to deliver an enriched learning experience for our students.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <em>
   *QS World University Rankings 2023
  </em>
 </p>
 <p>
  <em>
   **Data from the Graduate Destination Survey 2017 to 2020
  </em>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About the School
  </strong>
 </p>
 <p>
  The School of Computer Science, at the University of Wollongong in Dubai, seeks to appoint for the January 2026 semester a dynamic and talented academic with expertise in one or many of the following areas: Big Data Management, Big Data Mining Techniques and Implementation, Foundations of Artificial Intelligence, Modern Artificial Intelligence, Machine learning models, generative AI and general adversarial networks (GANs), Natural language processing, Computer Vision.
 </p>
 <p>
  <br/>
 </p>
 <p>
  The School of Computer Science aims at producing innovative, well-rounded, hands-on professionals that are well versed in technological and computing concepts and skills. The school offers 7 programs under the umbrella of computer science and IT. Those programs are designed to be practical and focused on industry needed skills in popular areas of computer science and IT, including: Software development, Cyber Security, Big data and AI, Gaming and mobile development, Business information systems, IT management, and digital transformation.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Requirements &amp; Responsibilities
  </strong>
 </p>
 <p>
  We are seeking an experienced academic in the area of AI and Big Data having a PhD in the related field, from a recognized university.
  <strong>
   The position is offered at the Assistant Professor level
  </strong>
  , according to experience and qualification. It is a full-time position that requires the holder to contribute to the School&rsquo;s teaching, research and governance activities.
 </p>
 <p>
  <br/>
 </p>
 <p>
  The applicant is expected to have teaching experience in AI and Big Data related topics including: Big Data Management, Big Data Mining Techniques and Implementation, Foundations of Artificial Intelligence, Modern Artificial Intelligence, Machine learning models, generative AI and general adversarial networks (GANs), Natural language processing, Computer Vision, as well as core computer science subjects such as programming, database management, web technologies, and networking at a recognized higher education institution, along with a record of scholarly research and high-quality publications in the relevant field. Industry experience or evidence of industry-academic collaborations would also be beneficial.
 </p>
 <p>
  <br/>
 </p>
 <p>
  The post-holder will also be expected to supervise final year graduation projects, MSc projects and PhD Thesis. He/She will be expected to fully engage in scholarly and research activities within the thriving engineering team to produce high-impact research and deliver research-informed undergraduate and Master&rsquo;s level teaching. The applicant is expected to have an experience of involvement in collaborative research with external organizations, and have a strong track record for the dissemination of knowledge through recent publications in high impact international journals and international conferences.
 </p>
 <p>
  <br/>
 </p>
 <p>
  As a Faculty member, you will have an excellent research track record and will be required to demonstrate research leadership from the outset. You will be expected to raise the profile of the Faculty through external networking, and producing high impact, high profile publications. In addition, you will be expected to seek to gain your own research funding to develop/expand your role within the university.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Qualifications &amp; Experience
  </strong>
 </p>
 <p>
  To qualify for the above role, candidate must have the following qualifications and experience
 </p>
 <p>
  &bull; PhD. in Computer Science/AI and Big Data with thesis in AL and Machine Learning from a recognized international academic institution
 </p>
 <p>
  &bull; At least 4 years of teaching experience at an internationally recognized institution in area related to Computer Science, AI, Data Analytics.
 </p>
 <p>
  &bull; Working knowledge of techniques and tools for: Big Data Management, Big Data Mining Techniques and Implementation, Foundations of Artificial Intelligence, Modern Artificial Intelligence, Computer vision and applications, Data Mining, Database performance tuning, GANs, Generative AI, and Natural language processing.
 </p>
 <p>
  &bull; Industry experience related to Advanced AI, Machine Learning and Smart systems is a plus
 </p>
 <p>
  &bull; An active researcher in the field (or related field) with publications in recognized international journals and indexed in Scopus and Web of Science
 </p>
 <p>
  &bull; Fluency in the English language (both spoken and written)
 </p>
 <p>
  &bull; Excellent communication skills
 </p>
 <p>
  <br/>
 </p>
 <p>
  <u>
   Preferred Qualifications
  </u>
 </p>
 <p>
  &bull; Documented experience in the application of Artificial Intelligence, Machine Learning, and Big Data Analysis to modern information systems problems
 </p>
 <p>
  &bull; Ability to teach and conduct research about the latest AI and Big Data Analysis techniques and strategies as well as the project skills to apply this knowledge in the real world
 </p>
 <p>
  &bull; Ability to teach and conduct research about the latest computer science topics to design, implement and test AI based solutions for solving complex problems.
 </p>
 <p>
  &bull; Working knowledge of Relational and Cloud databases
 </p>
 <p>
  &bull; Experience with Hadoop, HBase, Spark and other Big data management technologies
 </p>
 <p>
  &bull; Experience with AI and Machine learning models, and related libraries and platforms (e.g. TensorFlow, Keras, caffe, PyTorch, Theano, OpenCV, OpenAI, Gemini).
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Compensation &amp; Benefits
  </strong>
 </p>
 <p>
  The successful candidate will enjoy interaction with a professional and dynamic team of highly respected educators from over 50 different countries and exposure to students from over 100 nationalities.
 </p>
 <p>
  <br/>
 </p>
 <p>
  The University offers an expatriate package, which is an attractive tax-free salary. The expatriate package includes six weeks of paid leave per year, annual flight allowance and private medical insurance for the employee and eligible dependents, life and disability insurance, and education allowance for dependents. The University is located in Knowledge Park, Dubai and has excellent teaching, learning and research facilities as well as access to Library resources that meets international standards.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <em>
   UOWD is an equal opportunity employer that attracts, develops, motivates, empowers, and retains a diverse workforce.
  </em>
 </p>
</div>


Assistant Professor - Computer Science (AI & Big Data)

black.ai

<p>At Sonder, we believe that every person deserves to feel safe, supported, and empowered to be at their best - wherever they are. That's why we're redefining workplace health, safety, and wellbeing through a seamless blend of technology and human expertise. Sonder's mobile platform provides 24/7, real-time support from a dedicated team of safety, medical, and mental health professionals - ensuring that our members receive immediate care when they need it most. In critical situations, we go beyond digital support, offering on-the-ground assistance to manage time-sensitive incidents.</p> <p>By harnessing real-time insights, we enable organisations to take proactive steps toward a healthier, safer future, which leads directly to tangible bottom-line business outcomes.</p> <p><b>An Exciting Time to Join Sonder!</b></p> <p>Since our founding in 2017, Sonder has experienced rapid growth, expanding operations across Australia, New Zealand, and the UK. Backed by Australia's leading venture capital firms, Seek and Blackbird, we are well-capitalised and on a mission to scale globally, partnering with corporations, educational institutions, and government agencies to transform workplace wellbeing at scale.</p> <p>Our impact and scale:</p> <ul> <li>1,000,000+ members across multiple countries</li> <li>200+ team members, plus an extensive network of on-the-ground responders</li> </ul> <p>If you're passionate about using technology and human expertise to drive meaningful change, join us in shaping the future of workplace wellbeing!</p> <b>Role Summary</b> <p>Are you a recent PhD graduate or Postdoctoral researcher passionate about applying cutting edge AI to solve real world problems? Join Sonder as an Applied Machine Learning Scientist/Engineer - focusing on LLM Research & Fine Tuning Engineering, and help us build a new generation of AI systems that directly impact human well being and safety.</p> <p>This is a unique opportunity for a PhD level candidate to apply their deep academic knowledge to a mission driven environment. This role is distinct from typical AI tooling or RAG based roles.</p> <p>We are not seeking candidates whose primary experience is in building vector search systems or integrating off the shelf APIs. Instead, we require deep, hands on expertise with the internal workings of large language models. Your work will be instrumental in developing our personalisation engine and fine tuning state of the art open source LLMs like LLaMa, Mistral, and DeepSeek. Your research will translate directly into creating specialised LLMs that provide empathetic, life saving support to our members.</p> <p>We're looking for someone who thrives on technical challenges and wants to see their expertise translate into a positive, tangible impact.</p> <b>Key Responsibilities</b> <ul> <li>Research, fine tune, and optimise open source LLMs using techniques such as PEFT, LoRA, and QLoRA to build our proprietary AI models.</li> <li>Contribute to the design and implementation of our personalisation and recommendation engines to deliver tailored, proactive support.</li> <li>Develop and maintain robust machine learning pipelines for model training, evaluation, and deployment.</li> <li>Collaborate closely with cross functional teams, including product managers, software engineers, and mental health professionals, to translate research into effective product features.</li> <li>Stay current with the latest advancements in AI and LLM research, and apply new techniques to improve our systems.</li> <li>Publish and/or present research findings at conferences or in academic journals where appropriate, contributing to the broader AI community.</li> </ul> <b>Key Qualifications</b> <ul> <li>A recently completed <b>PhD</b> or <b>Postdoctoral experience</b> in Machine Learning, AI, Computer Science, or a closely related quantitative field.</li> <li>Deep theoretical and practical understanding of Transformer architectures, attention mechanisms, and training dynamics.</li> <li>Hands on experience fine tuning open source LLMs (e.g., LLaMa, Mistral, DeepSeek).</li> <li>Strong computer science fundamentals and coding proficiency in Python.</li> <li>Solid experience with deep learning frameworks such as PyTorch or TensorFlow.</li> <li>A profound passion for applying AI to high impact, meaningful domains such as mental health and well being.</li> </ul> <p><b>Candidates with primary experience limited to building Retrieval Augmented Generation (RAG) systems or MLOps tooling are not a suitable fit for this specific role.</b></p> <b>Nice to Have</b> <ul> <li>Experience with <b>distributed training</b> techniques for large models.</li> <li>Familiarity with cloud based machine learning stacks (e.g., <b>AWS, GCP</b>).</li> <li>A track record of <b>peer reviewed publications</b> in top tier AI/ML conferences (e.g., NeurIPS, ICML, ICLR, AAAI, ACL).</li> </ul> <b>Eligibility</b> <ul> <li>The right to work full time in Australia</li> <li>Located within commuting distance to our Sydney office at the time of commencement.</li> </ul> <b>Impact & Growth</b> <p>Your work at Sonder will go beyond just optimising models; it will directly contribute to saving lives and improving mental well being on a global scale. This role offers the opportunity to shape our core AI technology from the ground up while growing as a leader in a supportive, mission driven environment. You will have the freedom to explore new research ideas and the resources to see them through to deployment, making a tangible difference in the world.</p> <b>Why Join Sonder?</b> <p>At Sonder, we thrive in a fast paced, high performance environment with a strong commitment to our people. Our team is a collaborative, vibrant group of passionate professionals, dedicated to making a real impact on people's lives every day.</p> <ul> <li>Hybrid and flexible working environment. Enjoy the perfect balance of in office collaboration and work from home flexibility, empowering you to optimise your productivity and work life balance.</li> <li>Gain free access to the Sonder app for you and your family, offering 24/7 on demand support for health, wellbeing, and safety.</li> <li>$1000 annual contribution as part of your development plan + 2 days of study leave</li> <li>Paid parental leave with an attractive return to work policy, 12 weeks for Primary Carers and 4 weeks for Secondary Carers, plus our Primary Carers return to work at 80% for the first 3 months at full pay.</li> <li>Participate in our Employee Share Option Plan (ESOP) for you to be a part of Sonder's success.</li> <li>Salary Packaging and novated leasing</li> <li>Access $250 annually to fund to invest in your wellbeing, empowering you to choose the support that best fits your needs.</li> <li>Free coffee on Tuesdays and catered lunch on Thursdays.</li> <li>Team social fund to connect with your team, plus monthly company wide social events.</li> <li>Dog friendly office.</li> <li>Volunteer leave. 2 days per year to participate in meaningful causes and contribute back to the community.</li> </ul> <p>Check out our life page for more info - </p> <b>Sonder is for Everyone</b> <p>We're committed to building a diverse and inclusive workplace. We encourage applications from people of all backgrounds, experiences, abilities and identities. If you need any support with your application or the recruitment process, please reach out - we'd love to hear from you.</p> <p>Due to the nature of our industry, all Sonder employees are required to complete a National Police Check and Working With Children Check.</p>

Applied Machine Learning Scientist/Engineer - LLMs (Recent PhD Grad)

Uber AI Solutions

Uber AI Solutions is Uber's new marketplace connecting freelancers with Generative AI researchers. We're inviting experienced domain professionals to collaborate on a new client project at the frontier of GenAI. This is a freelance, paid, project-based opportunity - remote, flexible, and designed for experienced professionals who want to apply their expertise in finance, engineering, physics, chemistry, or medicine to advance Generative AI systems. Project details Duration: Tasks for this project are expected to be available for 3 months (with potential extensions). You'll retain flexibility to accept tasks of your choice. Location: Remote (You must be based in the United States) Payout structure: Task-based pay model. Competitive rates per completed task, determined by the complexity and required experience. Type: Freelance / Independent contractor. Why this matters Your expertise may help train and evaluate the next generation of Generative AI systems. By shaping the data and benchmarks these models rely on, you'll help ensure that Generative AI is accurate, reliable, and aligned with the standards of your field. This is a unique opportunity to apply your domain knowledge at the cutting edge of technology. Contact email

Freelance STEM Prompt Generation Professional

GE Vernova

<div><h1 class="jobSectionHeader"><b>Job Description Summary</b></h1>
GE Vernova&rsquo;s Advanced Research business is the central innovation engine for GE&rsquo;s portfolio of energy businesses, which is unified under one banner called GE Vernova. The research organization is made up of 250+ researchers representing virtually every major scientific and engineering discipline. Collectively, they are driving major research programs and initiatives to decarbonize power, accelerate renewables, and promote electrification and the creation of a 21st century grid fit to power a zero-carbon energy future.<br>
<br>
We are seeking a highly motivated and skilled researcher to join our team in the field of Artificial Intelligence, Machine Learning (AIML). As a Research Engineer, you will have the opportunity to work closely with our experienced engineers and researchers on cutting-edge projects that leverage AIML techniques for the development of state-of-the-art prognostics, diagnostic and modelling solutions.<p></p><h1 class="jobSectionHeader"><b>
Job Description</b></h1><p>
Roles and responsibilities</p><ul><li>
Develop novel AIML algorithms and methodologies applicable to control systems engineering and anomaly detection problems.</li><li>
Analyse large time series datasets to identify patterns, trends, and insights to deliver algorithms dealing with diagnostics and prognostics of large energy equipment.</li><li>
Implement and optimize AIML algorithms and models.</li><li>
Design and conduct experiments to test the performance and robustness of AIML-based solutions.</li><li>
Document research findings, methodologies, and implementation details for knowledge sharing and future reference.</li><li>
Collaborate with cross-functional teams, including engineers, researchers, and product managers, to integrate AIML solutions into existing system platforms.</li><li>
Keep abreast of the latest advancements in AIML, control systems, and signal processing engineering through literature review and participation in relevant conferences and seminars.</li></ul><p><b>
Required Qualifications</b></p><ul><li><b>
PhD with 2 - 5 Years Experience or Master&rsquo;s degree with 5 - 7 Years Experience from a reputed institution in Computer Science or other engineering field.</b></li><li>
Strong understanding of fundamental concepts in statistics, machine learning, and artificial intelligence.</li><li>
Proficiency in programming languages commonly used in AIML applications such as Python, PySpark, PyTorch, Pandas, or similar.</li><li>
Experience with data analysis and manipulation using tools like Pandas, NumPy, or MATLAB. Familiarity with software development best practices, including version control (e.g., Git) and agile methodologies.</li><li>
Basic knowledge of cloud-based architectures</li><li>
Excellent problem-solving skills and ability to think critically and creatively.</li><li>
Strong communication skills and ability to work effectively in a collaborative team environment.</li><li>
Demonstrated ability to build prototypes and quickly develop proof of concepts to show solution feasibility.</li></ul><p></p><h1 class="jobSectionHeader"><b>
Additional Information</b></h1><div><div><div><div><div><div><div><p><b>
Relocation Assistance Provided: </b>Yes</p></div></div></div></div></div></div></div></div><p></p>

Research Scientist - Machine Learning

Presight

<div>
 <strong>
  Overview
  <br/>
  <br/>
 </strong>
 <strong>
  About Presight
  <br/>
  <br/>
 </strong>
 Presight, an ADX-listed public company with Abu Dhabi-based G42 as its majority shareholder, is the region&rsquo;s leading big data analytics company powered by Artificial Intelligence (AI). It combines big data, analytics, and AI expertise to serve every sector, of every scale, to create business and positive societal impact. With its world-class computer vision, AI, and omni-analytics platform as its engine, Presight leverages all-source data to support insight-driven decision-making that shapes policy and creates safer, healthier, happier, and more sustainable societies.
 <br/>
 <br/>
 <strong>
  The Opportunity
  <br/>
  <br/>
 </strong>
 Presight is looking for a qualified and proficient
 <strong>
  Data Scientist
 </strong>
 to develop and deliver AI-powered capabilities for public safety solutions and products. This role focuses on LLMs, agentic &amp; conversational AI, and retrieval-augmented generation to extract insights, summarize information, and support decision-making in high-stakes operational environments. The candidate will play a pivotal role in shaping next-generation AI workflows, ensuring outputs are accurate, explainable, and aligned with organizational objectives.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Innovate, design, build, and deploy autonomous AI agents and LLM-powered solutions that enhance workflow automation, summarization, and decision-support in public safety and operational contexts.
  </li>
  <li>
   Develop agentic systems capable of interacting with APIs, querying internal knowledge sources, and reasoning over structured and unstructured data.
  </li>
  <li>
   Develop AI tools and integrate LLMs with external systems, leveraging frameworks such as MCP to streamline interactions and enable agentic workflows.
  </li>
  <li>
   Collaborate with data scientists, MLOps engineers, and software engineers to design and implement agentic systems and automated workflows.
  </li>
  <li>
   Develop evaluation frameworks to measure model and agent performance, scalability, safety, and impact on operational workflows.
  </li>
  <li>
   Contribute to shared AI infrastructure, including reusable APIs, prompt libraries, model registries, and best-practice guidelines for agent development.
  </li>
  <li>
   Stay aligned with the latest research, open-source advancements, and emerging AI/ML technologies, acting as an evangelist to promote adoption of cutting-edge solutions.
  </li>
  <li>
   Engage with stakeholders and clients by presenting demos, gathering feedback, and collaborating on-site as required to ensure successful delivery.
  </li>
  <li>
   Comply with QHSE (Quality Health Safety and Environment), Business Continuity, Information Security, Privacy, Risk, Compliance Management and Governance of Organizations policies, procedures, plans, and related risk assessments.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <strong>
  Key Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s or Master&rsquo;s degree in AI, data science, computer science, or related field.
  </li>
  <li>
   Minimum 3 years of professional experience in AI/NLP development
  </li>
  <li>
   Hands-on experience in LLMs, prompt engineering, conversational and agentic AI frameworks.
  </li>
  <li>
   Strong programming skills in Python, with experience in PyTorch.
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  <li>
   Experience with Hugging Face ecosystem, embeddings, vector databases, RAG pipelines, and agentic AI frameworks such as LangFlow, LangGraph, and DIFY.
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  <li>
   Experience building and integrating knowledge graphs for entity linking, relationship modelling, and structured reasoning.
  </li>
  <li>
   Familiarity with recommender systems and traditional ML algorithms for decision-support applications.
  </li>
  <li>
   Hands-on experience with Docker, API development, cloud platforms (AWS, GCP, or Azure), GPU clusters, and high-performance computing environments.
  </li>
  <li>
   Proficient with Git/version control, and reproducible development practices.
  </li>
  <li>
   Proven track record of deploying AI/LLM solutions for real-world applications.
  </li>
  <li>
   Strong analytical and evaluation skills, with experience in model metrics, error analysis, and bias detection.
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 </ul>
 <strong>
  Preferred Qualifications
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 </strong>
 <ul>
  <li>
   Experience designing and deploying autonomous or agentic AI systems in operational workflows in production environments.
  </li>
  <li>
   Practical experience with graph databases (Neo4j, AWS Neptune, etc.) and graph-based reasoning approaches.
  </li>
  <li>
   Exposure to ethical AI frameworks, compliance, and explainable AI techniques.
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   <br/>
  </li>
 </ul>
 <strong>
  What We Look For
  <br/>
  <br/>
 </strong>
 Inquisitive, performance-driven individuals with a bias for action, who can work effectively under ambiguity and rapidly iterate on AI solutions. The ideal candidate will have strong technical skills, the ability to collaborate well with the team, and a passion for building trustworthy AI capabilities that deliver meaningful operational impact.
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 <br/>
 <strong>
  What Working At Presight Offers
  <br/>
  <br/>
 </strong>
 <strong>
  Culture:
 </strong>
 An open, diverse and inclusive environment with a global vision and focus on innovation.
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 <br/>
 <strong>
  Career:
 </strong>
 Accelerate your career through high-impact projects and access to resources for continuous growth and learning opportunities.
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 <strong>
  Rewards:
 </strong>
 Competitive remuneration with perks including healthcare, education support, and leave benefits.
</div>


Data Scientist

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