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qdata - vp of ai (innovation & engineering)

associate ai lab data scientist

New York University Abu Dhabi

<div>
 We are inviting applications for a Postdoctoral Associate in the Division of Social Science at NYU Abu Dhabi from individuals who have or will soon receive a PhD in sociology, social psychology, computational social science, computer science, information science, data science, or a closely related field. The appointment will begin September 1, 2026, subject to final budget approval and is available for up to three years.
 
 
 The post-doctoral associate will spend half their time on independent research, and half their time on collaborative research with Professors Mario D. Molina, Minsu Park, and Blaine Robbins. The collaborative research will be large-scale analyses of digital traces (e.g., Yelp, Airbnb, Stack Exchange) and virtual lab experiments to study how ingroup favoritism and group boundaries coevolve in multiplex communities; how attribute- and opinion-based cues shape insider/outsider categorization, intergroup relations, and social cohesion; and how to design interventions that promote inclusivity, fairness, and productive discourse online.
 
 
 We seek a candidate with expertise in the following four areas: (1) working with large-scale digital trace data; (2) building and running natural language processing and machine learning workflows; (3) experimental design and causal inference (including virtual lab experiments); and/or (4) network or computational modeling. The ideal candidate will have a strong interest in applying these tools to questions of group formation, intergroup relations, and the distribution of resources on online platforms. This is an excellent position for a computational social scientist or a computer/data scientist eager to transition into the social sciences.
 
 
 The position does not require teaching, but it may be possible to get teaching experience for compensation. You would join a group of over 20 post-doctoral fellows and 70 faculty in the Division of Social Science.
 
 
 For consideration, applicants must submit a cover letter, a curriculum vitae with a complete list of publications, a statement of research interests, two letters of reference, transcript and one writing sample, all in PDF format. If you have any questions, please email the Principal Investigators: Professors Mario D. Molina (mdmolina@nyu.edu), Minsu Park (mp5500@nyu.edu), and Blaine Robbins (bgr3@nyu.edu). Applications will be reviewed on a rolling basis until the position is filled, with a preferred deadline of November 15, 2025
 
 
 
 About NYU Abu Dhabi
 
 
 
 NYU Abu Dhabi is a degree-granting research university with a fully integrated liberal arts and science undergraduate program in the Arts, Sciences, Social Sciences, Humanities, and Engineering. NYU Abu Dhabi, NYU New York, and NYU Shanghai, form the backbone of NYU&rsquo;s global network university, an interconnected network of portal campuses and academic centers across six continents that enable seamless international mobility of students and faculty in their pursuit of academic and scholarly activity. This global university represents a transformative shift in higher education, one in which the intellectual and creative endeavors of academia are shaped and examined through an international and multicultural perspective. As a major intellectual hub at the crossroads of the Arab world, NYUAD serves as a center for scholarly thought, advanced research, knowledge creation, and sharing, through its academic, research, and creative activities.
 
 
 EOE/AA/Minorities/Females/Vet/Disabled/Sexual Orientation/Gender Identity Employer
 
 
 UAE Nationals are encouraged to apply
 
 
 
 Equal Employment Opportunity Statement
 
 
 
 
 For people in the EU, click here for information on your privacy rights under GDPR: www.nyu.edu/it/gdpr
 
 
 
 NYU is an Equal Opportunity Employer and is committed to a policy of equal treatment and opportunity in every aspect of its recruitment and hiring process without regard to age, alienage, caregiver status, childbirth, citizenship status, color, creed, disability, domestic violence victim status, ethnicity, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race, religion, reproductive health decision making, sex, sexual orientation, unemployment status, veteran status, or any other legally protected basis. All interested persons are encouraged to apply for vacant positions at all levels.
 
 
 
 Sustainability Statement
 
 
 
 NYU aims to be among the greenest urban campuses in the country and carbon neutral by 2040. Learn more at nyu.edu/sustainability
</div>

Post-Doctoral Associate in the Division of Social Science - Drs. Minsu Park, Mario Molina and Blaine Robbins

Inception

<div>
 
 Overview
 
 
 
 Inception is seeking a highly proficient and accomplished Sr. Applied Scientist, with a proven track record, to develop efficient deep-learning and generative AI algorithms and conceive innovative AI-centric models. This role offers a unique opportunity to work closely with our product development teams, applying emerging technologies across a diverse range of applications.
 
 
 The opportunity
 
 
 Join a fast-paced, future-driven company and become part of a dynamic, forward-thinking team with the most extensive AI service repository and a mission to establish itself as the premier AI Platform-as-a-Service for businesses and developers alike.
 
 
 Inception is the UAE&rsquo;s national-scale enabler in AI Research and Development. Partnering with Microsoft's AI SaaS, we offer domain-specific Agentic AI Orchestrator platforms utilizing reasoning agents for precise and cost-effective services. Our focus includes AI incubation, IP creation, applied AI R&amp;D, and AI investment products. By creating models tailored to specific domains and languages, we ensure superior accuracy and efficiency. Collaborating with top universities and industry giants to drive significant advancements in AI technology within the region.
 
 
 
 Responsibilities
 
 
 
 Your key responsibilities
 
 
 In the Sr. Applied Scientist role you will play a crucial part in pioneering research and development across various facets of AI, including but not limited to computer vision, natural language processing, and audio signal processing. Your work will involve the creation and optimization of cutting-edge AI algorithms and deep learning models, contributing to advancements in areas such as semantic understanding, multidimensional data interpretation, and human-machine interactions. Furthermore, your innovative efforts will be applied to a spectrum of practical use cases, serving pivotal industries such as finance, oil and gas, environmental science, and healthcare, thereby driving forward the frontier of impactful AI solutions in real-world scenarios.
 
 
 <ul>
 <li>
 Engage in the design, analysis and optimization of foundational and applied research to power the state-of-the-art AI algorithms and model capabilities at Inception. This will involve staying well-informed of emerging trends, understanding and manipulating complex datasets, and conceptualizing models that are both innovative and applicable to real-world scenarios.
 </li>
 <li>
 Work on comprehensive solutions that integrate various modalities, including text, audio, and visual data, enhancing the AI's ability to understand and interpret human interaction in a more nuanced manner.
 </li>
 <li>
 Collaborate with researchers and engineers across teams at Inception for the design, development, and continual improvement of AI algorithms, ensuring the implementations of such algorithms are optimized for efficiency, reliability, and scalability.
 </li>
 <li>
 Work alongside product development teams to integrate new algorithms and models into broader product offerings, and conduct proofs of concept (POC) as per client needs, ensuring that these innovations translate into tangible benefits for users and stakeholders.
 </li>
 <li>
 Propose scenarios where AI techniques could improve the efficiency of the customer&rsquo;s business.
 </li>
 <li>
 Provide pre-sales and post-sales technical support to the business development team.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 Skills and attributes for success
 
 
 The criteria for your success would include cost savings achieved, number of use cases investigated &amp; datasets mined, number of innovations/POCs deployed, number of existing processes optimized, and customer NPS.
 
 
 To qualify, you must have
 
 
 <ul>
 <li>
 M.Sc. or Ph.D. degree in computer science, engineering, or AI-related field. Specialization in Computer Vision, Natural Language Processing or Speech and Audio are highly desirable.
 </li>
 <li>
 Minimum 8 years of experience in developing AI algorithms for various modalities
 </li>
 <li>
 Track record of conducting high-level research, preferably evidenced by publications in peer-reviewed journals or a history of product-driven research and development.
 
 
 </li>
 </ul>
 Ideally, you&rsquo;ll also need
 
 
 <ul>
 <li>
 A highly curious and inquisitive approach to problem-solving
 </li>
 <li>
 In-depth knowledge of the latest developments in AI and machine learning
 </li>
 <li>
 Excellent communication skills
 
 
 </li>
 </ul>
 What we look for
 
 
 If you are a performance-driven, inquisitive mind with the agility to adapt to ambiguity, you will fit right in. You should be eager to explore opportunities to build meaningful collaborations with stakeholders and aspire to create unique customer-centric solutions. Bias for action and a passion to conquer new frontiers in the AI space is at the heart of the Inception community.
 
 
 What working at Inception offers
 
 
 Culture: An open, diverse and inclusive environment with a global vision that encourages personal growth and focuses on ground-breaking, industry-first innovations.
 
 
 Career: Outstanding learning, development &amp; growth opportunities via structured training programs and innovative, high-tech projects.
 
 
 Work-Life: A hybrid work policy to strike the perfect balance between office and home.
 
 
 Rewards: A competitive remuneration package with a host of perks including healthcare, education support, leave benefits and more.
 
 
 If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.
</div>

Senior Applied Scientist

L3Harris

<div>L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers&rsquo; mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do.
L3Harris Technologies is the Trusted Disruptor in the defense industry. With customers&rsquo; mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security.
Job Title: Scientist, C4ISR Systems Solutions Architect - ACE
Job Code: 32492
Location: Abu Dhabi, UAE
Work Schedule: 9/80 
Job Description:
L3Harris Technologies is seeking a Scientist (Level 6) C4ISR Systems Solutions Architect for the Abu Dhabi, UAE location with potential for international business travel across the Middle East nominally 50% of the time. This is a senior role requiring the overall design of C4ISR systems, including the overall network and associated data links, Battle management System (BMS), and the processing, fusion, and dissemination of data from multiple ISR platforms. 
Key responsibilities include:<ul><li>
C4ISR Architecture: Develop and design C4ISR architectures that leverage existing customer equipment while integrating cutting-edge technologies to meet specific and evolving customer needs.</li><li>
Emphasis on Utilizing AI: Integrating artificial intelligence within the C4I space to enhance system capabilities and data analysis.</li><li>
Driving Strategy for Customer Adoption: Developing and implementing strategies to drive customer adoption of new and modernized C4ISR systems.</li><li>
Cross-Sector and Cross-Segment Collaboration: Working across various sectors and segments to ensure integrated and cohesive solutions.</li><li>
Adjacent Technologies Knowledge: Possessing knowledge of adjacent technologies like electronic warfare to enhance the overall system effectiveness.</li><li>
Technical Customer Relationship Ownership: Owning and managing the technical relationship with customers to ensure their requirements are met and exceeded.</li></ul> 
A key part of this role focuses on the modernization and development of new C4ISR systems to support joint operations. This includes designing the overall network-centric communications architecture, recommending data models for managing ISR data, the associated standards, the data formats to utilize in these new systems, evaluation of the needed analysis tools, and designing interoperable systems that utilize open standards for data exchange. Close coordination with the end users and other engineering disciplines is required to shape and define the requirements, along with the development of proposals and working with third-party vendors/contractors as needed.
This is an opportunity to take on unique challenges, expand your skills and experience, and contribute to mission-critical systems solutions that help protect the U.S.A. and our allies. You will join a great team of talented professionals who take a collaborative approach and enjoy working together. 
Qualifications:<ul><li>
Bachelor&rsquo;s degree in Communications Engineering, Electrical Engineering, Systems Engineering or Computer Engineering (or related science discipline). Non-engineering or non-science majors will not be considered for this role</li><li>
12 years of related experience (or 10+ years with a Master&rsquo;s degree)</li><li>
8+ years of experience in C4ISR systems design, including large-scale enterprise integrated battle management systems and tactical radio networks. Please note this role is not for operators of certain tools, radio operators, or ISR analysts. This is a solution architect position and requires the candidate to be able to design complete solutions based on customers&rsquo; needs</li></ul>
Preferred Skills:<ul><li>
Strong understanding and experience with the L3Harris Falcon Radio product line, including applications for network-centric communications for command and control systems</li><li>
Strong understanding of military vehicle networks, including expertise in integrating various communication protocols (such as CAN, MIL-STD-1553, Ethernet, etc.) and a wide array of sensors (such as RADAR, LIDAR, EO/IR, SIGINT, etc.)</li><li>
Knowledge of the challenges associated with interoperability, data fusion, and real-time processing within dynamic and constrained environments</li><li>
Familiarity with modern network-enabled warfighting concepts, such as JADC2. Candidate must have an extensive working and conceptual knowledge of modern military operations, and capabilities</li><li>
Familiarity with one or more of the following L3Harris pursuits/programs: ELTS, Bahrain C4I, Morocco C4I, KSA C4I</li><li>
Design of scalable C4ISR systems that supports federation, redundancy, and interoperability at all levels</li><li>
Understanding of Joint Operations and the required tools to support the analysis of data and generation of products/reports</li><li>
Design and drive the application of AI and ML techniques to C4ISR systems
</li><li>Understanding of software development methodologies (e.g. Agile methodologies) and the integration/interfacing with legacy systems
</li><li>Familiarity with Enterprise Architecture standards such as TOGAF or DODAF
</li><li>Strong technical presentation and proposal writing skills</li><li>
Ability to drive cross-functional teams to deliver architecture solutions and proposals</li><li>
Develop and execute customer engagement strategies
</li><li>Ability to build trust with external customers, and internal stakeholders</li><li>
Drive ideas for internal R&amp;D projects to support future C4I differentiators</li><li>
Familiarity with L3Harris R&amp;D processes</li></ul>
#LI-MA1</div>

Scientist, Systems Engineer (C4ISR Systems - ACE - Advanced Concept Engineer)

New York University

<div>Position Summary:
<div>
Applications are welcome from all qualified candidates. In line with UAE regulations, Emirati candidates are encouraged to apply.</div><div></div><div> 
New York University Abu Dhabi (NYUAD) seeks to appoint a Global Programs Support Specialist reporting to the Assistant Vice Provost for Global Education.</div><div>
The Global Programs Support Specialist provides expert administrative and operational support to the Offices of the Associate Vice Chancellor/Vice Provost for Global Education and Outreach and of the Assistant Vice Provost for Global Education. This position is responsible for managing complex administrative functions and contributing to the operational efficiency of Global Education's diverse programs and initiatives. The Specialist leverages in-depth knowledge of global education operations to resolve issues and enhance program delivery. They will contribute to the smooth execution of daily operations, support financial processes, assist with faculty and staff-related tasks, and help organize key events.</div><div></div><div> 
Key Responsibilities:</div><div>
Operations Management:</div><ul><li>
Manages the calendars for the Associate Vice-Chancellor and the Assistant Vice Provost, independently prioritizing appointments and proactively resolving scheduling conflicts</li><li>
Oversees all business travel arrangements for the Associate Vice-Chancellor and other senior staff members</li><li>
Manages the planning and execution of official visits, including travel, event programming, cultural protocol, and stakeholder management, ensuring alignment with institutional</li><li>
objectives and providing a high-level experience for visitors.</li><li>
Manages the inventory of the Office of Global Education&rsquo;s publications and branded merchandise</li><li>
Serves as an advisor to visiting students</li><li>
Leads special projects as assigned</li><li>
Work on weekends and/or holidays may be needed occasionally</li><li>
Is cross-trained at the specialist level with other team members to be deployed to those teams during peak program activity times</li></ul><div>
Events Management:</div><ul><li>
Under the supervision of the Assistant Manager of Administration, manages the Office of Global Education&rsquo;s events, conferences, workshops, and meetings, ensuring alignment with strategic goals, managing all logistical and budgetary aspects, and evaluating event outcomes to inform future planning</li></ul><div>
Data Collection and Reporting:</div><ul><li>
Maintains a systematic archiving system for institutional data and reports, ensuring easy access and retrieval</li><li>
Liaises with relevant offices to gather necessary data and follows up on information requests; supports data reporting and visualization</li><li>
Produces ad hoc statistics, reports, and presentations as needed</li></ul><div>
Financial Management:</div><ul><li>
Manages procurement and financial operations for the Office of Global Education, including processing payments, reimbursements, credit card reconciliation, budget monitoring, and ensuring compliance with university policies and procedures.</li><li>
In support of the Assistant Vice Provost, monitors and accurately reports on all Global Education budgets, recommending corrective actions if needed</li></ul>
Qualifications:
<div>
Required Education:</div><ul><li>
Bachelor&rsquo;s Degree</li></ul><div>
Required Experience:</div><ul><li>
More than 3 years of experience in similar role, with a proven track record of growth and development</li><li>
Excellent organizational ability to set priorities, organize workload, handle multiple responsibilities, and meet deadlines while maintaining consistent accuracy and attention to detail</li><li>
Excellent quantitative skills</li><li>
Ability to work independently and as part of a team</li><li>
Capacity to undertake multiple, ongoing assignments and complete them in a timely way</li><li>
Excellent written and oral communication skills in English</li><li>
Skill in interacting with people, using tact, diplomacy, and intercultural sensitivity, and the ability to maintain a high level of confidentiality</li><li>
Excellent Computer Literacy: Advanced MS Office; Adobe; AI tools and web content management tools</li><li>
Excellent skills in applying generative AI to performing administrative tasks (generating minutes, reports, folders, proposals, itineraries, slide decks)</li><li>
Excellent Presentation design skills</li><li>
Excellent Data visualization skills</li></ul><div>
Preferred Experience:</div><ul><li>
More than one year of professional experience in a higher education institution; professional experience working with institutions of a multinational, multicultural nature</li></ul>
Additional Information:
<div>
The University is an equal opportunity employer committed to equity, diversity and social inclusion.</div></div>

Global Programs Support Specialist - Global Education

United Arab Emirates University, Department of Family Medicine

<div>
 
 Job Description
 
 
 
 The Big Data Analytics Center (BIDAC) at the United Arab Emirates University (UAEU) is seeking a talented and motivated Software Developer to support the design, development, and deployment of advanced AI-driven platforms and data applications. This position offers an exceptional opportunity to work in an interdisciplinary environment at the intersection of Artificial Intelligence, Natural Language Processing (NLP), and software engineering. The successful candidate will collaborate with data scientists, researchers, and engineers to translate cutting-edge AI research including Large Language Model (LLM) innovations into scalable, secure, and user-friendly systems. The role is ideal for developers who are passionate about AI productization, system integration, and building digital solutions that advance the UAE&rsquo;s AI and digital transformation vision. Key Responsibilities:
 
 
 <ul>
 <li>
 Design, develop, and maintain web and software applications for AI and data-driven projects at BIDAC.
 </li>
 <li>
 Build and integrate APIs for AI/ML model deployment, data pipelines, and backend services.
 </li>
 <li>
 Collaborate with AI researchers to implement LLM-based systems, chatbots, and process automation tools.
 </li>
 <li>
 Develop front-end interfaces and dashboards using modern frameworks (e.g., React, or Dash).
 </li>
 <li>
 Implement secure data access layers and ensure compliance with UAEU&rsquo;s data governance policies.
 </li>
 <li>
 Contribute to the design and deployment of MLOps and DevOps pipelines for production AI applications.
 </li>
 <li>
 Write clean, maintainable, and well-documented code following best practices.
 </li>
 <li>
 Work with cross-functional teams to deploy solutions on cloud and on-premise environments.
 </li>
 <li>
 Support the development of AI-powered educational, research, and administrative tools.
 </li>
 <li>
 Participate in technical documentation, testing, and version control using Git/GitHub.
 
 
 </li>
 </ul>
 Minimum Qualification
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Software Engineering, Information Systems, or related field.
 </li>
 <li>
 Proven experience in Python, JavaScript, or TypeScript.
 </li>
 <li>
 Experience with web frameworks (e.g., Flask, FastAPI, Django) and front-end libraries (React, Vue, or Angular).
 </li>
 <li>
 Understanding of RESTful API design, JSON, and database integration (MySQL, PostgreSQL, or MongoDB).
 </li>
 <li>
 Strong problem-solving and debugging skills with attention to performance and scalability.
 
 
 </li>
 </ul>
 
 Preferred Qualification
 
 
 
 <ul>
 <li>
 Master&rsquo;s degree in Computer Science, AI, or Software Engineering.
 </li>
 <li>
 Experience with LLM deployment, fine-tuning, or integration (e.g., LangChain, RAG systems).
 </li>
 <li>
 Familiarity with MLOps frameworks (MLflow, DVC) and AI application deployment.
 </li>
 <li>
 Prior experience developing AI dashboards, data visualization tools, or analytics platforms.
 </li>
 <li>
 Contribution to open-source projects or experience in AI startup / research environments.
 </li>
 <li>
 Knowledge of Arabic NLP or bilingual (English/Arabic) AI applications is a plus.
 
 
 </li>
 </ul>
 Expected Skills
 
 
 <ul>
 <li>
 Familiarity with AI/ML model integration and LLM APIs (OpenAI, Hugging Face, Anthropic, etc.).
 </li>
 <li>
 Experience developing Gradio, or Flask-based AI interfaces.
 </li>
 <li>
 Ability to work across backend, frontend, and data layers (full-stack orientation preferred).
 </li>
 <li>
 Understanding of cloud services (AWS, Azure, or GCP) and container orchestration (Kubernetes).
 </li>
 <li>
 Knowledge of data processing, API authentication, and secure data exchange protocols.
 </li>
 <li>
 Strong communication, teamwork, and documentation skills.
 </li>
 <li>
 A proactive and innovative mindset with a passion for applying software to solve real-world problems.
 
 
 </li>
 </ul>
 Close Date Kindly apply
 
 before
 
 the closing date.
 
 
 28/02/2026
 
 
 Apply
 
 
 Department
 
 
 Division
 
 
 Grade
 
 
 Posting Number
 
 
 Position Number
</div>

Software Engineer

<div>
 The Sreenivasan Lab at New York University Abu Dhabi (NYUAD) is seeking a Research Assistant to conduct studies examining working memory in human subjects. Applicants with a background in programming and interest in working memory are encouraged to apply. Terms of employment include competitive salary and benefits.
 
 
 Research in the Sreenivasan Lab (http://nyuad.nyu.edu/sreenivasan-lab) focuses on the neurobiological mechanisms that constrain working memory ability. Our projects involve collaborations with Psychology and Biology faculty at NYUAD as well as Psychology faculty at NYU New York. The neuroimaging facilities at NYUAD include a 3T Prisma MRI, MEG, EEG, and eye tracking.
 
 
 Responsibilities of the position include collecting behavioral and neurophysiological data, programming experiments and analysis routines, as well as managing the day-to-day functioning of the lab.
 
 
 Candidates must hold a bachelor&rsquo;s degree or equivalent, though a master&rsquo;s degree is preferred. The ideal candidate will have extensive experience with MATLAB or an equivalent programming language, strong computational skills, and a background in experimental psychology or neuroscience. We are particularly interested in candidates with experience and interest in addressing questions about working memory using neuroimaging. Organizational skills and attention to detail are essential.
 
 
 Applications will be accepted immediately. To be considered, all applicants must submit a cover letter/statement of research interests, a CV, transcript, and contact information for at least two references, all in PDF format. If you have any questions, please email Dr. Sreenivasan: kartik.sreenivasan@nyu.edu.
 
 
 The anticipated appointment is from February 1, 2026 to January 31, 2027, with opportunity for renewal of the position for additional years following performance evaluation. The terms of employment include highly competitive salary, housing allowance, and other benefits.
 
 
 
 About NYU Abu Dhabi
 
 
 
 https://nyuad.nyu.edu/en/
 
 
 NYU Abu Dhabi is the first comprehensive liberal arts and research campus in the Middle East to be operated abroad by a major American research university. Times Higher Education ranks NYU among the top 30 universities in the world, making NYU Abu Dhabi the highest-ranked university in the UAE and MENA region. NYU Abu Dhabi has integrated a highly selective undergraduate curriculum across the disciplines with a world center for advanced research and scholarship. The university enables its students in the sciences, engineering, social sciences, humanities, and arts to succeed in an increasingly interdependent world and advance cooperation and progress on humanity&rsquo;s shared challenges. NYU Abu Dhabi&rsquo;s high-achieving students have come from over 120 countries and speak over 100 languages. Together, NYU's campuses in New York, Abu Dhabi, and Shanghai form the backbone of a unique global university, giving faculty and students opportunities to experience varied learning environments and immersion in other cultures at one or more of the numerous study-abroad sites NYU maintains on six continents.
 
 
 NYUAD is committed to upholding a culture of non-discrimination, anti-harassment, dignity, and mutual respect; providing equal access and opportunity; and fostering academic excellence in learning, research, and teaching.
 
 
 UAE Nationals are encouraged to apply.
 
 
 
 Equal Employment Opportunity Statement
 
 
 
 
 For people in the EU, click here for information on your privacy rights under GDPR: www.nyu.edu/it/gdpr
 
 
 
 NYU is an Equal Opportunity Employer and is committed to a policy of equal treatment and opportunity in every aspect of its recruitment and hiring process without regard to age, alienage, caregiver status, childbirth, citizenship status, color, creed, disability, domestic violence victim status, ethnicity, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race, religion, reproductive health decision making, sex, sexual orientation, unemployment status, veteran status, or any other legally protected basis. All interested persons are encouraged to apply for vacant positions at all levels.
 
 
 
 Sustainability Statement
 
 
 
 NYU aims to be among the greenest urban campuses in the country and carbon neutral by 2040. Learn more at nyu.edu/sustainability
</div>

Junior Research Scientist in the Division of Science (Psychology) - Dr. Kartik Sreenivasan

Contango

<div>The Opportunity: Architecting Intelligence at Sovereign Scale
QData is the Data and AI execution arm for ADQ. We are building the AI Factory that will power the transformation of ADQ&rsquo;s massive portfolio of Operating Companies (OpCos). We are looking for a VP of AI to lead our AI engineering, innovation, and forward-deployed practices.
This is not a theoretical research role. You will sit at the intersection of Innovation (Data Science and Applied AI), AI Engineering, and Forward Deployed Engineering (FDE). Your mandate is to industrialize AI: moving from &quot;vibe-coded&quot; prototypes to resilient, production-grade engines that drive tangible ROI.
You will report to the CTO and collaborate closely with the VP of Data, VP of Solutions &amp; Products, VP of Application Engineering, and VP of Commercials to deliver rapid roll-outs of AI MVPs, solutions, and products.
Role Mission: The Engine of the QData AI Delivery Factory
As the VP of AI, you are the AI visionary and operational leader of the QData AI delivery factory. You will build and lead a high-performance team responsible for architecting core AI engines, agentic workflows, and orchestration layers.
This role requires a unique balance: you must possess the technical depth to mentor Lead AI Engineers on complex RAG pipelines, while having the business acumen to define ROI-driven strategies for OpCo C-suite stakeholders.
Why Join QData?<ul><li>Impact: You will not just build features; you will transform the economy by deploying AI across critical sectors (Energy, Utilities, Healthcare, Logistics) via the ADQ portfolio.</li><li>Scale: Access to massive datasets and the resources of a sovereign wealth fund environment.</li><li>Growth: A clear path to C-level leadership in a rapidly expanding organization.</li></ul>
Core Responsibilities
1. Strategy &amp; Executive Leadership (Future CAIO)<ul><li>Define the technical vision and roadmap for QData&rsquo;s AI capabilities, transitioning us from ad-hoc solutions to a reusable, scalable AI factory platform.</li><li>Partner with the VP of Commercials and VP of Solutions &amp; Products to align technical innovation with business outcomes and measurable ROI.</li><li>Act as the primary technical voice for AI across the ADQ portfolio, championing &quot;AI Safety by Design&quot; and governance alongside enterprise risk requirements.</li></ul>
2. Leading Innovation &amp; Data Science<ul><li>Drive the R&amp;D agenda, staying at the bleeding edge of research (e.g., small language models, context window optimization, new embedding techniques) and translating them into practical QData playbooks.</li><li>Establish rigorous Evaluation Frameworks (quantitative/qualitative) to measure model performance against business KPIs, ensuring we move beyond &quot;hype&quot; to &quot;value&quot;.</li></ul>
3. Mastering AI Engineering &amp; Operations (LLMOps)<ul><li>Oversee the architecture of robust LLM orchestration layers and high-performance multi-layer memory systems.</li><li>Institutionalize LLMOps best practices: automated evaluation (LLM-as-a-judge), monitoring, logging, and versioning for prompts and models.</li><li>Ensure the engineering team builds distributed systems that maintain low latency under high throughput.</li></ul>
4. Forward Deployed Engineering (FDE) Management<ul><li>Lead the FDE practice, ensuring your teams can &quot;get into the trenches&quot; with OpCos to integrate AI into diverse environments-from legacy on-prem stacks to modern cloud infrastructure.</li><li>Ensure your team acts as technical partners to the OpCos, navigating technical constraints to deliver MVPs that solve root-cause business problems.</li></ul>
5. Talent &amp; Culture<ul><li>Recruit, mentor, and retain world-class AI talent, fostering a culture of &quot;Pragmatic Innovation&quot; where engineers choose the effective tool over the theoretical one.</li><li>Set the &quot;gold standard&quot; for code quality and engineering rigor across the organization.</li></ul>
Technical Mastery
As the VP of AI, you must command the respect of elite engineers. While you may not write code daily, your architectural literacy must be absolute.
1. The AI Marketplace &amp; API Ecosystem<ul><li>Model-as-a-Service Architecture: Design the technical backbone of the QData AI Marketplace, allowing OpCos to discover and consume pre-configured AI models and agents via secure, standardized APIs.</li><li>Service Catalog &amp; Governance: Architect the governance layer that controls model access, usage policies, and versioning across the marketplace, ensuring &quot;AI Safety&quot; extends to consumed services.</li><li>Monetization &amp; Metering: Oversee the implementation of metering and telemetry systems required to track usage for chargeback models, turning the AI Factory into a sustainable revenue center.</li></ul>
2. Advanced Cognitive Architectures &amp; Agentic Orchestration<ul><li>Agentic Workflows: Possess an architectural command of agentic systems, moving beyond simple chains to complex, stateful multi-agent systems that solve non-linear</li></ul>
problems.<ul><li>Orchestration Layers: Deep experience designing orchestration layers capable of managing complex reasoning loops, tool use, and error handling in production environments.</li><li>Memory Systems: Expertise in constructing high-performance memory systems, implementing long-term persistence strategies that allow agents to retain context across sessions.</li></ul>
3. Next-Gen Information Retrieval (RAG) &amp; Data Strategy<ul><li>Sophisticated RAG Patterns: Mastery of Hybrid Search (Dense + Sparse), GraphRAG, and re-ranking strategies to ensure high-fidelity retrieval from diverse corporate sources (SaaS, On-prem, Data Lakes).</li><li>Vector Operations: Proven ability to optimize Vector Stores and embedding models for specific enterprise domains, ensuring data quality and relevance at scale.</li></ul>
4. Model Optimization &amp; The &quot;Small Model&quot; Revolution<ul><li>Fine-Tuning Lifecycle: Deep grasp of Parameter-Efficient Fine-Tuning (PEFT/LoRA) to adapt foundation models to proprietary enterprise data without incurring massive compute costs.</li><li>SLM Operationalization: Ability to operationalize Small Language Models (SLMs) for edge cases or latency-sensitive tasks, balancing performance trade-offs against massive frontier models.</li><li>Context Optimization: Knowledge of context window optimization and token economics to maximize ROI on inference costs.</li></ul>
5. Industrial-Grade LLMOps &amp; Evaluation<ul><li>Systematic AI Engineering: Champion the move from &quot;vibe-coding&quot; to rigorous engineering. This includes designing Evaluation Frameworks using quantitative and qualitative metrics (including LLM-as-a-judge).</li><li>CI/CD for AI: Expertise in architecting testing suites that handle the non-deterministic nature of LLMs to ensure safety and reliability before deployment.</li><li>Observability: Implementation of comprehensive observability stacks for monitoring drift, hallucination rates, and latency in real-time.</li></ul>
6. Distributed Systems &amp; Core Engineering<ul><li>Code Fluency: Retain expert-level literacy in Python and TypeScript/FastAPI ecosystems to conduct high-level code reviews and architectural audits.</li><li>Scale: Proven ability to design distributed systems that maintain low latency under high throughput, ensuring AI microservices can scale to meet the demands of 50+ Operating Companies.</li></ul>
Candidate Profile
Experience &amp; Leadership<ul><li>10+ years of technical experience, with at least 5+ years in leadership roles managing large size AI engineering or data science teams.</li><li>Proven track record of deploying AI/ML models in Enterprise or B2B environments, moving beyond notebooks to production-scale applications, incubating and scaling AI Factory.</li><li>Experience in a high-growth startup, consultancy, or &quot;Forward Deployed&quot; environment is critical; you must be comfortable leading teams that face customers directly.</li></ul>
Mindset &amp; Behaviors<ul><li>ROI-Obsessed: You prioritize business impact over research for research's sake.</li><li>Bias for Action: You drive your team to ship code and solve problems rather than writing whitepapers.</li><li>Low Ego: You are equally comfortable strategizing with the Board or debugging an architectural bottleneck with a junior engineer.</li><li>Pragmatic Innovation: You choose the most effective tool for the job-whether a simple script or a complex agentic system</li></ul>
Disclaimer:
This job posting is not open to recruitment agencies. Any candidate profile submitted by a recruitment agency will be considered as being received directly from an applicant. Contango reserves the rights to contact the candidate directly, without incurring any obligations or liabilities for payment of any fees to the recruitment agency.</div>

QData - VP of AI (Innovation & Engineering)

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