ai researcher

JPMorganChase

<div><b>JOB DESCRIPTION</b><br>
<br>
<br>
<div><div><p>Our goal is to build the next generation of AI: autonomous agents that can reason, plan, act, and learn to solve critical problems for an industry leading financial institution. We are looking for architects who will define the future of banking through Agentic AI. The Applied Artificial Intelligence and Machine Learning team in Commercial and Investment Banking is transforming operations by leveraging the latest advancements in agentic AI and frontier models.
</p></div><p></p><div><p>As an Applied AI ML Researcher Director in the Applied AI Research team, you will be a builder, a scientific pioneer and mentor who bridges the gap between leading edge theory and enterprise-grade, large-scale, deployable systems.
</p></div><p></p><div><p><b>Job Responsibilities:</b>
</p></div><div><ul><li>Architect and develop GenAI and agentic solutions to automate complex operational processes
</li></ul></div><div><ul><li>Assist Lines of Business and teams to directly solve priority use cases within the domain
</li></ul></div><div><ul><li>Deliver multiple agents that collaborate to solve large, complex problems, orchestrate end-to-end workflows, and scale across JPMC
</li></ul></div><div><ul><li>Design and build services and libraries that AI teams want to use
</li></ul></div><div><ul><li>Mentor and inspire a team of AI engineers, fostering a culture of excellence, innovation, and continuous learning
</li></ul></div><div><ul><li>Ensure the scalability, reliability, and security of AI/ML solutions in a production environment, with a focus on long-term sustainability
</li></ul></div><div><ul><li>Collaborate with stakeholders and technical partners across Lines of Business and firmwide to scale solutions and maximize impact
</li></ul></div></div><p></p><div><div><p><b>Required Qualifications, Capabilities, and Skills:</b>
</p></div><div><ul><li>PhD in Computer Science or a related quantitative discipline with 8+ years of relevant experience or<b> </b>MS in Computer Science or a related field with 12+ years of relevant experience
</li></ul></div><div><ul><li>Research experience or work in a top commercial AI research lab
</li></ul></div><div><ul><li>Deep understanding of AI fundamentals and practical experience with data analysis and experimental design
</li></ul></div><div><ul><li>Proven track record of deploying AI/ML applications in a production environment at scale
</li></ul></div><div><ul><li>Familiarity with distributed computing patterns for training, serving, and persistence of state
</li></ul></div><div><ul><li>Experience integrating user feedback to establish agentic refinement and self-improving AI applications
</li></ul></div><div><ul><li>Experience in building and leading high-performing AI teams
</li></ul></div><p></p><div><p><b>Preferred Qualifications, Capabilities, and Skills:</b>
</p></div><div><ul><li>Experience deploying models on AWS platforms such as SageMaker or Bedrock will be strongly considered, but not required
</li></ul><p></p><p>FEDERAL DEPOSIT INSURANCE ACT: This position is subject to Section 19 of the Federal Deposit Insurance Act. As such, an employment offer for this position is contingent on JPMorganChase's review of criminal conviction history, including pretrial diversions or program entries.</p>
<p>#LI-RB1</p>
<p>#CIBAppliedAI</p>
</div></div><b>ABOUT US</b><br>
<br>
<br>
<div><div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
</div><p></p><div><p>We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
</p><div><p>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.</p>
<p>JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans</p><br>
</div></div></div><br>
<br>
<b>ABOUT THE TEAM</b>
<br>
<br>
J.P. Morgan's Commercial &amp; Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial &amp; Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.</div>

Applied AI ML Researcher Director

<div><b>JOB DESCRIPTION</b><br>
<br>
<br>
<p>As an Applied AI/ML Researcher within the AI4Tech Team at JPMorgan Chase, you will lead technology research and development initiatives focused on advancing AI capabilities across the firm. Leveraging your deep engineering expertise, you will collaborate with agile teams to drive innovation in developer productivity, CI/CD, observability, incident response, and the secure, compliant integration of AI into technical operations. Your role emphasizes establishing and nurturing common capabilities, best practices, and reusable frameworks to support AI excellence and consistency throughout the organization. You will blend hands-on technical work with strategic and advisory responsibilities, guiding platform choices, operating models, and controls in a regulated enterprise environment. Staying abreast of industry trends and technological advancements, you will help shape the future of AI-driven technology at JPMorgan Chase.</p><p>
Job Responsibilities</p><div><ul><li><br>
Conduct applied research and development on GenAI and agentic AI solutions to enhance developer productivity, CI/CD automation, observability, and operational resilience.</li><li>Design, prototype, and evaluate AI-driven tools and frameworks that streamline engineering workflows, improve code quality, and accelerate technology delivery.</li><li>Establish and promote best practices, reusable components, and common capabilities for integrating AI into technology platforms in a secure, stable, and scalable manner.</li><li>Collaborate with agile engineering teams to identify opportunities for AI adoption, provide technical guidance, and support the implementation of innovative solutions.</li><li>Develop and maintain policies, guardrails, and controls to ensure responsible, compliant, and auditable use of AI technologies within the enterprise.</li><li>Monitor industry trends, emerging technologies, and best practices to inform strategic direction and maintain the firm's leadership in AI-driven technology innovation.</li><li>Communicate research findings, technical insights, and recommendations to both technical and non-technical stakeholders through clear documentation, presentations, and decision briefs.</li></ul></div><p><br>
Required qualifications, skills and capabilities</p><div><ul><li><br>
Advanced degree in Computer Science, Engineering, or a related field, or equivalent practical experience.</li><li>5+ years of experience in software engineering, applied AI/ML research, or technology R&amp;D, with strong proficiency in Python and familiarity with modern development tools and cloud platforms (AWS, Azure, GCP).</li><li>Hands‑on experience with containers, Kubernetes, and infrastructure as code.</li><li>Hands-on experience with GenAI, agentic AI, prompt engineering, function/tool calling, and integrating AI into developer and operational workflows.</li><li>Deep understanding of CI/CD pipelines, developer productivity tooling, observability, and incident response in large-scale, regulated environments.</li><li>Strong background in secure software development, data privacy, access controls, and compliance requirements.</li><li>Excellent communication skills, with the ability to translate complex technical concepts for diverse audiences and drive cross-functional collaboration.</li><li>Demonstrated ability to innovate, challenge the status quo, and deliver impactful technology solutions in a fast-paced, enterprise setting.</li></ul></div><p>
</p><p>(i) This position is subject to Section 19 of the Federal Deposit Insurance Act.
<br>
(ii) An employment offer for this position is contingent on JPMorganChase's review of criminal conviction history, including pretrial diversions or program entries.</p>
<b>ABOUT US</b><br>
<br>
<br>
<div><div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
</div><p></p><div><p>We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
</p><div><p>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.</p>
<p>JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans</p><br>
</div></div></div><br>
<br>
<b>ABOUT THE TEAM</b>
<br>
<br>
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.</div>

Applied AI/ML Researcher - Vice President

Shariq Enterprises Proprietor

<p><b>Abou US:</b><br/><b>Shariq Enterprises</b> is a digital solutions company helping brands grow through E commerce, Marketing, Web Development and AI Automation. We build smart, scalable systems that boost business efficiency and results<b>.</b></p><p><b>Job description:</b><br/><b>Shariq Enterprises</b> is seeking askilled and analytical Amazon Product Researcher to discover high potential products for Online Arbitrage (OA), and Wholesale FBA models.</p><p><b>Key Responsibilities:</b></p><ul><li>Conduct detailed product research across Amazon/ walmart marketplaces.</li><li>Identify profitable products for OA and Wholesale models.</li><li>Analyze product trends, competition, sales rank and pricing history.</li><li>Evaluate profit margins, ROI, and sourcing options.</li><li>Prepare detailed product sheets and reports.</li><li>Coordinate with sourcing, listing, and operations teams.</li></ul><p><b>Requirements:</b></p><ul><li>Minimum 6 Month of experience in Amazon product research.</li><li>Strong understanding of Amazon business models (OA, FBA, Wholesale).</li><li>Proficient in research tools.</li></ul><p><b>Details</b></p><ul><li>Basic Salary + Allowance.</li><li>Career growth opportunities within a growing e-commerce team.</li><li>Location: DHA Phase 5</li></ul><p>Write &quot;Product Researcher&quot; in your email subject line.</p><p>Drop your resume at: careers@shariqenterprises.com</p><p>Pay: Rs30,000.00 - Rs50,000.00 per month</p><p>Work Location: In person</p>

Amazon Product Researcher

SportsBiz Group Inc

<p><b>Lead AI &amp; Computer Vision Scientist</b></p><ul><li><b>Role:</b> Lead AI &amp; Computer Vision Scientist</li><li><b>Location:</b> 100% Remote (US / Canada/Europe/South America)</li><li><b>Current Company Valuation:</b> $30M</li><li><b>Compensation Model:</b> Day-1 Equity + Post-Funding Salary</li></ul><p><b>The Opportunity</b></p><p>Are you a visionary interactive developer who thrives at the intersection of cutting-edge AI-native technology and early-stage startup grit?</p><p><b>SportsBiz (SportsBiz.com)</b> is disrupting the $100B sports sponsorship industry. Having already established a leadership foothold with our proprietary AI analytics platform, DeepSport Solutions, we are now expanding our ecosystem. <b>We are seeking an elite AI expert to CV-based products from concept to production &mdash; not just research prototypes.architect and scale our from the ground up.</b></p><p>This is not a corporate cog-in-the-wheel role. You will act as a player-coach, building and working on a team data scientists, establishing the technical blueprint, and directly shaping the future of sports sponsorship technology. <b>Must have strong team leadership experience. </b></p><p>Our clients span both major corporate sponsors (brands) and sports properties (teams, leagues, and events).</p><p><b>The Reality of Early-Stage Building (Our Culture)</b></p><p>Transparency is our baseline. We are a lean, high-octane team of 20+ co-founders and executives hailing from Fortune 500s and top-tier boutique firms.</p><ul><li><b>Current Company Valuation:</b> $30M</li><li><b>The Phase:</b> We are currently preparing to close our $5M second-round capital raise, which is anticipated by the end of Q3.</li><li><b>The Compensation:</b> In alignment with our leadership team, this role operates on an equity (stock only) model prior to funding. You will receive meaningful equity ownership from day one, alongside routine cash stipends.</li><li><b>The Full-Time Transition:</b> Upon the successful completion of our present $5M fundraise, you will transition immediately to a highly competitive, full-time base salary and performance bonuses. Base Salary: $120,000.</li></ul><p><i>If you are energized by the high-upside equity phase of a startup and want true, structural ownership of a product, this is your sandbox.</i></p><p><b>What You'll Own</b></p><ul><li><b>Own the video processing pipelines. </b>Be the directly responsible individual for the pipelines that detect broadcast exposure and assess its value &mdash; their technical roadmap, quality, and delivery, from research through production.</li><li><b>Scale to league level. </b>Architect and deliver the systems that take these pipelines from single venues and teams to processing all games across major leagues (NFL, NHL, MLB) and major college football conferences, with the throughput, reliability, and cost profile that scale demands.</li><li><b>Own the computer-vision core. </b>Lead detection and identification of sponsorship signage and branded assets in video. Continuously evaluate and prototype alternative approaches &mdash; models, architectures, tooling, and vendors &mdash; to keep the pipeline at the frontier of a rapidly advancing field.</li><li><b>Own the full valuation workflow. </b>Take a system-level view of the entire pipeline: tracking signage into impressions, scoring those impressions, and translating them into a defensible dollar value of brand exposure. Ensure each stage is measurable, explainable, and defensible to clients.</li><li><b>Engineering rigor. </b>Drive strong software practices across the team &mdash; clean, tested, maintainable Python; a disciplined SDLC; and robust CI/CD, so research reliably becomes production.</li><li><b>Lead and grow the team. </b>Manage, mentor, and hire data scientists and ML engineers. Set technical standards, run reviews, and develop the people around you.</li><li><b>Cross-functional partnership. </b>Work with product and commercial teams to translate client needs into technical requirements, and communicate methodology and results to non-technical stakeholders with credibility.</li></ul><p><b>What We're Looking For</b></p><ul><li><b>Delivered a computer-vision product. </b>Proven experience taking a CV-based product from concept to production &mdash; not just research prototypes.</li><li><b>CV models on AWS. </b>Hands-on experience developing and deploying computer-vision models on AWS infrastructure, such as SageMaker.</li><li><b>System-level thinker. </b>Able to own a multi-stage workflow end to end &mdash; detection, tracking, scoring, and valuation &mdash; and reason about how choices in one stage affect the whole.</li><li><b>Deep Python and software-engineering depth. </b>You are a strong software developer, not only a modeler. Fluent in Python with real command of the SDLC and CI/CD.</li><li><b>Scale experience. </b>Track record building or operating data/ML systems that handle high volume reliably and cost-effectively.</li><li><b>Leadership. </b>Experience leading and mentoring technical talent; comfortable owning outcomes and setting direction.</li><li><b>Stays current. </b>Actively tracks the evolving CV and ML ecosystem and has a habit of evaluating and adopting better approaches.</li><li><b>Communication. </b>Explains technical methodology and results clearly to both engineers and business stakeholders.</li></ul><p><b>Nice to Have</b></p><ul><li><b>AWS-based workflows. </b>Experience implementing production data or ML workflows on AWS.</li><li><b>AI-forward practitioner. </b>Hands-on adopter of AI in your own workflow &mdash; you use coding agents and AI-assisted development day to day.</li><li><b>AI-driven workflows. </b>Experience designing or building AI-driven pipelines and automation.</li><li><b>Sports / media domain. </b>Familiarity with sports broadcast, sponsorship measurement, or media valuation.</li><li><b>Video at scale. </b>Experience with video ingestion, streaming, or large-scale media processing infrastructure.</li></ul><p><b>What Success Looks Like</b></p><p>Within your first year, the video processing pipelines reliably run at league scale, the computer-vision core is measurably more accurate and more current than it is today, and the impression-to-dollar valuation is trusted by clients and defensible under scrutiny &mdash; backed by a strong team and engineering practices you&rsquo;ve helped build.</p><p><i>SportsBiz is an equal opportunity employer. We welcome applicants from all backgrounds.</i></p><p><b>Minimum Qualifications</b></p><ul><li><b>Experience:</b> 8+ years of professional experience, with a minimum of 4-5+ years dedicated specifically to <b>Computer Vision and alogorythmic modeling</b>.</li><li><b>Technical Mastery:</b> Flawless skills and a bulletproof understanding of rendering algorithms and data structures.</li><li><b>Leadership Toolkit:</b> Proven history of leading engineering teams, managing agile pipelines, and mentoring junior/mid-level talent.</li><li><b>Education:</b> Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, or equivalent practical field.</li><li><b>Portfolio:</b> A stellar portfolio demonstrating complex, production-ready work in AI engineering and computer vision.</li></ul><p><b>Nice-to-Haves</b></p><ul><li>A genuine passion for sports analytics, gaming, or data-driven visual experiences.</li><li>Experience integrating AI-assisted development tools (like Cursor or Claude Code) into your production workflows.</li></ul><p><b>Perks &amp; Benefits</b></p><ul><li><b>Founding Equity:</b> Meaningful ownership (Employee Stock Ownership Plan) in a high-valuation startup.</li><li><b>Immediate Cash Stipends:</b> Ongoing routine stipends provided prior to our major funding round.</li><li><b>100% Remote &amp; Flexible:</b> Work from home with a schedule optimized for async, high-output productivity.</li><li><b>Uncapped Trajectory:</b> As a foundational engineering leader, your career growth scales directly with the company's valuation.</li></ul><p>Pay: $110,000.00 - $130,000.00 per year</p><p>Benefits:</p><ul><li>Paid time off</li><li>Stock options</li></ul><p>Experience:</p><ul><li>Unreal Engine: 5 years (Required)</li></ul><p>Work Location: Remote</p>

Lead AI & Computer Vision Scientist

Baylor College of Medicine

<div><div><div><div><h2 class="jobSectionHeader"><b>Summary</b></h2></div><div><p>
The Michael E. DeBakey Department of Surgery at the Baylor College of Medicine (BCM) seeks a highly qualified individual with a PhD and postdoctoral experience in Computer Science, Data Science, Medical Informatics or Equivalent Field. The Assistant Professor &ndash; Data Scientist would serve as scientific lead with Dr. Ravi Ghanta, overseeing the Department of Surgery ATLAS AI program to develop innovative AI applications in surgery and healthcare. The work spans AI applications in healthcare including machine vision, robotics, image analysis, natural language processing, and predictive modeling.</p><p></p><p><br>
Under this role, the Assistant Professor will work with a team of post-doctoral computer scientists and engineers on NIH-funded research projects. The Assistant Professor is expected to oversee data engineering of electronic health data for machine learning applications, interoperability with electronic health record (EHR) systems, and evaluation of algorithm predictive performance. The Assistant Professor will interact directly with postdoctoral fellows, graduate students, and medical students.</p></div></div><div><div><h2 class="jobSectionHeader"><b>
Job Duties</b></h2></div><div><ul><li>
Oversee and coordinate logistics and execution of various research projects.</li><li>
Manage project progress and execution of project goals and milestones.</li><li>
Plan and direct research experiments.</li><li>
Organize, evaluate, and analyze data with other researchers.</li><li>
Develop research techniques and perform applications required for specific research projects.</li><li>
Conduct literature searches and summarize information in an appropriate format for a particular study.</li><li>
Document results of experiments and reports to principal investigators.</li><li>
Supervise, schedule and coordinate the activities of the research team involved in multiple research projects.</li><li>
Write progress reports, manuscripts and grant proposals.</li><li>
Lead clinical studies and participate in research involving human subjects. Interact directly with clinicians, surgeons, and pathologists to fulfill the aims of the research projects.</li><li>
Supervise research staff including graduate and undergraduate students.</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>
Minimum Qualifications</b></h2></div><div><ul><li>
Ph.D. in computer science, data science, medical informatics, or related field.</li><li>
Successful track record of collaboration with clinical investigators and in interdisciplinary teams; accomplished academic record sufficient to fulfill criteria for an assistant professor level faculty appointment at Baylor College of Medicine.</li></ul></div></div></div><p></p><p><br>
Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer.</p></div><p></p>

Assistant Professor - Artificial Intelligence and Data Scientist

Valeo

<div>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design end-to-end differentiable systems that jointly optimize sensor control, illumination patterns, and perception tasks (detection, segmentation)
  </li>
  <li>
   Develop domain adaptation techniques enabling synthetic-to-real transfer without retraining.
  </li>
  <li>
   Implement energy-aware AI models balancing perception quality with power constraints for embedded automotive deployment.
  </li>
  <li>
   Validate systems through real-world vehicle testing across diverse environmental conditions.
  </li>
  <li>
   Publish research at top-tier conferences (CVPR, ICCV, NeurIPS) while delivering production-ready solutions.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's or Master's degree in Computer Science, Computer Engineering, Data Science, Electrical Engineering, or a related field.
  </li>
  <li>
   3+ years developing and deploying deep learning and reinforcement learning models
  </li>
  <li>
   Expert-level deep learning (PyTorch/TensorFlow) with custom architecture design.
  </li>
  <li>
   Strong background in object detection, semantic segmentation, neural rendering.
  </li>
  <li>
   Experience with domain adaptation, self-supervised learning, and model optimization for
  </li>
  <li>
   edge devices.
  </li>
  <li>
   Familiarity with ROS, simulation environments (CARLA, Applied Intuition, NVIDIA), and 3D
  </li>
  <li>
   rendering engines.
  </li>
  <li>
   Experience with automotive perception datasets (nuScenes, Waymo Open, KITTI) and
  </li>
  <li>
   benchmarks.
  </li>
  <li>
   Hands-on experience with automotive sensors (cameras, LiDAR, radar, thermal imaging).
  </li>
  <li>
   Knowledge of closed-loop control integration with neural networks.
  </li>
  <li>
   Proficiency in Python, C++, and CUDA programming.
  </li>
 </ul>
</div>


AI Engineer, LIGHT

Seddiqi Holding

<div>
 <p>
  Seddiqi Holding is a Family-owned and managed company with a unique, diversified portfolio of businesses and brands across numerous sectors. The business includes Ahmed Seddiqi, Seddiqi Properties, Swiss Watch Services and Mizzen.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Our award-winning talent acquisition team is seeking a talented and future-focused Talent Acquisition Coordinator to support the recruitment process across multiple business functions.
 </p>
 <p>
  <br/>
 </p>
 <p>
  The role broadly involves sourcing candidates, coordinating interviews, managing candidate communication, and maintaining our applicant tracking system (ATS) to ensure we create the best possible candidate and client experience.
 </p>
 <p>
  <br/>
 </p>
 <p>
  You will play a key role in providing high-quality support to the dedicated talent acquisition team through developing talent pools for key roles, and ensuring a strong pipeline of candidates.
 </p>
 <p>
  <br/>
 </p>
 <p>
  We are looking for someone who brings speed mixed with accuracy, someone who is constantly looking at ways to improve processes and sees the opportunity AI can bring to enhance talent acquisition.
 </p>
 <p>
  <br/>
 </p>
 <p>
  You must have had experience with an ATS as you will become the superuser for the team, championing its use across the business. A genuine interest in recruitment technology and/or AI tools is needed and will be thoroughly tested during the interview process.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities
  </strong>
 </p>
 <ul>
  <li>
   Support the recruitment process by sourcing relevant candidates through multiple channels.
  </li>
  <li>
   Prepare and post job advertisements, coordinate assessments, screening calls, and pre-employment checks.
  </li>
  <li>
   Conduct initial candidate screenings and present a shortlist to the Lead.
  </li>
  <li>
   Carry out market research to understand competitor hiring trends and the broader talent landscape, enabling proactive sourcing and pipeline development.
  </li>
  <li>
   Schedule and coordinate interviews across multiple time zones, calendars, and panels, including video links, and candidate/interviewer logistics.
  </li>
  <li>
   Provide support for high volumes of recruitment activity across multiple open vacancies
  </li>
  <li>
   Communicate with candidates regarding application status and interview feedback, ensuring a positive candidate experience.
  </li>
  <li>
   Manage and maintain the Applicant Tracking System (ATS), ensuring all candidate data is accurate and up to date.
  </li>
  <li>
   Track and update candidate progress across all stages of the recruitment lifecycle within the system.
  </li>
  <li>
   Leverage AI-driven tools, autonomous sourcing solutions, and agent-based technologies to enhance talent acquisition processes, including candidate sourcing, screening, market mapping, and pipeline development.
  </li>
  <li>
   Continuously explore and adopt emerging recruitment technologies, including AI agents and automation tools, to improve efficiency and candidate experience.
  </li>
  <li>
   Generate and maintain recruitment reports and dashboards, providing actionable insights to improve hiring outcomes and process efficiency.
  </li>
  <li>
   Ensure that the confidentiality and sensitivity of information and data is fully protected and respected and comply with the confidentiality rules and procedures and implementing appropriate levels of security and control.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Previous Experience
  </strong>
 </p>
 <ul>
  <li>
   Minimum 3 years of experience as a Recruitment Coordinator, Researcher, or similar role within a corporate environment, recruitment agency, or executive search firm.
  </li>
  <li>
   Proven experience working with Applicant Tracking Systems (ATS) and other recruitment technologies, with a strong focus on maintaining data accuracy and process efficiency.
  </li>
  <li>
   Advanced proficiency in Microsoft Office tools (Copilot, Outlook, Sharepoint, Teams, Excel, PowerPoint, Word etc.), with the ability to manage data, track hiring metrics, and prepare reports.
  </li>
  <li>
   Ideally have worked with SAP and in particular Success Factors Recruitment.
  </li>
  <li>
   Strong interest in and exposure to emerging technologies, with hands-on experience leveraging AI tools to support sourcing, market research, and recruitment processes.
  </li>
  <li>
   Excellent communication and stakeholder management skills, with the ability to work effectively in a fast-paced, collaborative environment.
  </li>
  <li>
   Fluent written and spoke English is mandatory.
  </li>
  <li>
   Arabic language proficiency is mandatory.
  </li>
 </ul>
</div>


Talent Acquisition Coordinator (Arabic Speaker) - 12 Month FTC

Search 1908+ Ai researcher jobs near you this August. New roles added regularly across leading industries. Apply today.