ai researcher

UAE CHINA CHAMBER OF COMMERCE

AI Researcher - Technology &amp; InnovationCompany: UAE-China Chamber of Commerce Location: Dubai, UAE Employment Type: Full-time Salary Range: USD $3,000 - $5,000 per monthAbout UAE-China Chamber of CommerceThe UAE-China Chamber of Commerce serves as a vital bridge connecting businesses between the United Arab Emirates and China, fostering trade relationships and promoting economic cooperation.Position OverviewWe are seeking a dedicated AI Researcher to join our Research &amp; Innovation department in Dubai. You will conduct comprehensive research on artificial intelligence, emerging technologies, and their impact on international business and trade.Key Responsibilities<ul><li>AI Research: Conduct in-depth research on AI trends, machine learning, deep learning, and automation technologies across various industries</li><li>Analysis &amp; Documentation: Prepare comprehensive research reports, case studies, and business impact analysis for UAE-China trade applications</li><li>Routine Research: Weekly technology reviews, monthly trend reports, quarterly strategic assessments, and daily monitoring of AI developments</li><li>Stakeholder Communication: Present findings to chamber executives and members, participate in technology forums, and support business development initiatives</li></ul>Preferred Qualifications<ul><li>PhD in AI or Computer Science</li><li>Published research papers in AI/technology journals</li><li>Experience in fintech, logistics, or international trade technology</li><li>Knowledge of UAE and China technology ecosystems</li><li>AWS, Google Cloud, or Azure AI certifications</li></ul>Research Focus Areas<ul><li>AI in International Trade and cross-border e-commerce solutions</li><li>Automation Technologies for business operations and logistics</li><li>FinTech Applications and financial technology innovations</li><li>Generative AI and large language models</li><li>IoT, Blockchain, and emerging technologies</li></ul>What We Offer<ul><li>Competitive salary: USD $3,000 - $5,000 per month (based on experience)</li><li>Annual performance bonuses</li><li>Professional development budget for conferences and certifications</li><li>Access to premium research databases and academic journals</li><li>State-of-the-art research facilities with high-performance computing resources</li><li>International collaboration opportunities</li></ul>Research Output Expectations<ul><li>Weekly: Technology news summaries and trend alerts</li><li>Monthly: Comprehensive research reports (15-20 pages)</li><li>Quarterly: Strategic technology assessments</li><li>Annually: Major publications and conference presentations</li></ul>Application RequirementsPlease submit:<ul><li>CV/Resume with research experience and publications</li><li>Research Portfolio (reports, papers, AI/ML projects)</li><li>Cover letter explaining research interests</li><li>Research Proposal: 500-word outline on AI's impact on UAE-China trade</li><li>Academic transcripts and certifications</li><li>Professional references</li></ul>How to ApplyEmail: we@aifod.org Subject: AI Researcher Application - [Your Name]Important Notes<ul><li>Legal authorization to work in UAE required</li><li>Security clearance may be required for sensitive projects</li><li>Immediate availability preferred</li></ul>Equal opportunity employer committed to diversity and innovation. Application deadline: Open until filledJob Types: Full-time, ContractPay: From AED3,000.00 per monthExperience:<ul><li>The research on ai, technology, conduct the research: 2 years (Required)</li></ul>

AI Researcher - Technology & Innovation

WinWire

<div>Location &ndash; Hyderabad/Bengaluru
Job Description
<ul>Experience &ndash; 10 to 16 Yrs
Research and Development of Generative AI Models: Lead the design and development of cutting-edge Generative AI models, techniques, methodologies and frameworks focusing on improving text, image, and multimodal generation capabilities. Innovate new architectures, fine-tune existing models, and optimize for scalability, efficiency, and real-world applications.
Design and Development of AI Agents: Create and implement AI agents capable of perceiving their environment, making decisions, and executing actions with minimal human intervention. This involves developing algorithms and models that enable agents to learn and adapt over time.
Enterprise Orchestration and Management: Oversee the integration and coordination of AI agents within the organization&rsquo;s existing systems and processes. Ensure that AI solutions align with business objectives and enhance operational efficiency.
Governance and Compliance: Establish and enforce governance frameworks to ensure AI agents operate within defined policies and regulations. Monitor compliance and implement best practices to maintain system integrity and security.
Collaboration with Cross-Functional Teams: Work closely with data scientists, software engineers, and business stakeholders to align AI solutions with organizational goals and user needs
Implementation of Machine Learning Models: Develop and deploy machine learning models that enable AI agents to process data, recognize patterns, and make informed decisions.
Monitoring and Maintenance: Oversee the performance of AI agents, ensuring they operate effectively and efficiently. This includes troubleshooting issues, optimizing performance, and updating systems as needed.
</ul>
Must-haves
<ul>Technical expertise in AI and machine learning, strong problem-solving abilities, and effective communication skills to collaborate with diverse teams and stakeholders.
8-12 Years of experience in AI-related roles, with a strong focus on OpenAI technology.
Proven experience as a Data Scientist/AI researcher with expertise in machine learning and data science.
</ul>
Key Skills: AI Researcher, Data Science, Python, Gen AI, Azure</div>

Technical Lead - Data Science

Tether Operations Limited

<div>Join Tether and Shape the Future of Digital Finance
At Tether, we&rsquo;re not just building products, we&rsquo;re pioneering a global financial revolution. Our cutting-edge solutions empower businesses&mdash;from exchanges and wallets to payment processors and ATMs&mdash;to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.
Innovate with Tether
Tether Finance: Our innovative product suite features the world&rsquo;s most trusted stablecoin, USDT, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.
But that&rsquo;s just the beginning:
Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.
Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET, our flagship app that redefines secure and private data sharing.
Tether Education: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.
Tether Evolution: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.
Why Join Us?
Our team is a global talent powerhouse, working remotely from every corner of the world. If you&rsquo;re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We&rsquo;ve grown fast, stayed lean, and secured our place as a leader in the industry.
If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.
Are you ready to be part of the future?
About the job
As a member of the AI model team, you will drive innovation in architecture development for cutting-edge models of various scales, including small, large, and multi-modal systems. Your work will enhance intelligence, improve efficiency, and introduce new capabilities to advance the field.
You will have a deep expertise in video generation model architectures with a hands-on, research-driven approach. Your mission is to explore and implement novel techniques and algorithms that lead to groundbreaking advancements: data curation, strengthening baselines, identifying and resolving existing pre-training bottlenecks to push the limits of model performance.
Responsibilities<ul><li>
Pioneer multimodal and video-centric research that moves fast and breaks ground, contributing directly to usable prototypes and scalable systems.</li><li>
Design and implement novel AI architectures for multimodal language models, integrating text, visual, and audio modalities.</li><li>
Engineer scalable training and inference pipelines optimized for large-scale multimodal datasets and distributed GPU systems across thousands of GPUs.</li><li>
Optimize systems and algorithms for efficient data processing, model execution, and pipeline throughput.</li><li>
Build modular tools for preprocessing, analyzing, and managing multimodal data assets (e.g., images, video, text).</li><li>
Collaborate cross-functionally with research and engineering teams to translate cutting-edge model innovations into production-grade solutions.</li><li>
Prototype generative AI applications showcasing new capabilities of multimodal foundation models in real-world products.</li><li>
Develop benchmarking tools to rigorously evaluate model performance across diverse multimodal tasks.</li></ul><ul><li>
Bachelor&rsquo;s degree in Computer Science, Computer Engineering, or a related technical field, or equivalent practical experience</li><li>
Expertise in Python &amp; Pytorch, including practical experience working with the full development pipeline from data processing &amp; data loading to training, inference, and optimization.</li><li>
Experience working with large-scale text data, or (bonus) interleaved data spanning audio, video, image, and/or text.</li><li>
Direct hands-on experience in developing or benchmarking at least one of the following topics: LLMs, Vision Language Models, Audio Language Models, generative video models .</li></ul><h4 class="jobSectionHeader">
Nice to have skills:</h4><ul><li>
PhD in Computer Vision, Machine Learning, NLP, Computer Science, Applied Statistics, or a closely related field</li><li>
Demonstrated expertise in computer vision, video generation foundation model and/or multimodal research.</li><li>
First-author publications at leading AI conferences such as CVPR, ICCV, ECCV, ICML, ICLR, NeurIPS etc.</li></ul>
Important information for candidates 
Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles:<ul><li>
Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/</li><li>
Verify the recruiter&rsquo;s identity. All our recruiters have verified LinkedIn profiles. If you&rsquo;re unsure, you can confirm their identity by checking their profile or contacting us through our website.</li><li>
Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.</li><li>
Double-check email addresses. All communication from us will come from emails ending in @tether.to or @tether.io</li><li>
We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately.</li></ul>
When in doubt, feel free to reach out through our official website.</div>

Senior Research Engineer - Multimodal & Video Foundation Model

DesignNex Technologies

We are seeking a highly motivated and enthusiastic Data Scientist with over 2-5 years of experience to join our dynamic team. The ideal candidate will have a strong background in AI/ML analytics and a passion for leveraging data to drive business insights and innovation.Key Responsibilities:<ul><li>Develop and implement machine learning models and algorithms.</li><li>Work closely with project stakeholders to understand requirements and translate them into deliverables.</li><li>Utilize statistical and machine learning techniques to analyze and interpret complex data sets.</li><li>Stay updated with the latest advancements in AI/ML technologies and methodologies.</li><li>Collaborate with cross-functional teams to support various AI/ML initiatives.</li></ul>Qualifications:<ul><li>Bachelor&rsquo;s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.</li><li>Strong understanding of machine learning , deep learning and Generative AI concepts.</li></ul>Preferred Skills:<ul><li>Experience in machine learning techniques such as Regression, Classification, Predictive modeling, Clustering, Deep Learning stack, NLP using python</li><li>Strong knowledge and experience in Generative AI/ LLM based development.</li><li>Strong experience working with key LLM models APIs (e.g. AWS Bedrock, Azure Open AI/ OpenAI) and LLM Frameworks (e.g. LangChain, LlamaIndex).</li><li>Experience with cloud infrastructure for AI/Generative AI/ML on AWS, Azure.</li><li>Expertise in building enterprise grade, secure data ingestion pipelines for unstructured data &ndash; including indexing, search, and advance retrieval patterns.</li><li>Knowledge of effective text chunking techniques for optimal processing and indexing of large documents or datasets.</li><li>Proficiency in generating and working with text embeddings with understanding of embedding spaces and their applications in semantic search and information. retrieval.</li><li>Experience with RAG concepts and fundamentals (VectorDBs, AWS OpenSearch, semantic search, etc.), Expertise in implementing RAG systems that combine</li><li>knowledge bases with Generative AI models.</li><li>Knowledge of training and fine-tuning Foundation Models (Athropic, Claud , Mistral, etc.), including multimodal inputs and outputs.</li><li>Proficiency in Python, TypeScript, NodeJS, ReactJS (and equivalent) and frameworks. (e.g., pandas, NumPy, scikit-learn), Glue crawler, ETL</li><li>Experience with data visualization tools (e.g., Matplotlib, Seaborn, Quicksight).</li><li>Knowledge of deep learning frameworks (e.g., TensorFlow, Keras, PyTorch).</li><li>Experience with version control systems (e.g., Git, CodeCommit).</li></ul>Good to have Skills<ul><li>Knowledge and Experience in building knowledge graphs in production.</li><li>Understanding of multi-agent systems and their applications in complex problem- solving scenarios.</li></ul>Job Types: Full-time, PermanentPay: &#8377;1,500,000.00 - &#8377;3,000,000.00 per yearBenefits:<ul><li>Health insurance</li><li>Provident Fund</li></ul>Experience:<ul><li>NLP: 2 years (Preferred)</li><li>AWS: 2 years (Preferred)</li><li>AI/ML: 2 years (Preferred)</li></ul>Work Location: In person

Data Scientist

Devfum

Job DescriptionAbout Devfum Devfum leverages a specialized blend of web technologies, artificial intelligence (AI), and extended reality (XR) solutions to automate business processes, enhance customer experiences, and drive sustainable growth for businesses worldwide.Our Vision To be the world&rsquo;s pioneering digital experience provider.Why Join Devfum? At Devfum, we foster an environment of growth, learning, and work-life balance. Our interns are not just learners&mdash;they are contributors to real-world innovation. Learning &amp; Development &ndash; Hands-on exposure to AI, ML, Generative AI, Agentic AI, and Computer Vision. Mentorship &amp; Guidance &ndash; Work alongside experienced professionals to sharpen your skills. Career Growth Roadmap &ndash; High-performing interns have the opportunity for full-time employment. Daily Lunch &amp; Tea &ndash; Complimentary meals and refreshments. Monthly Sports Activities &ndash; Engage in team-building activities and stay active.Key Responsibilities<ul><li>Research, develop, and implement AI/ML models with a focus on Generative AI, Agentic AI, Large Language Models (LLMs), NLP, and Computer Vision.</li><li>Design, train, and fine-tune AI models using Python and frameworks such as PyTorch and Hugging Face.</li><li>Collaborate with engineers to integrate models into web applications using FastAPI, Flask, and Django.</li><li>Build and maintain CI/CD pipelines, including writing Bash scripts and working with Docker for model deployment.</li><li>Analyze complex datasets to derive actionable insights and optimize AI models for performance and scalability.</li><li>Document and present findings, and communicate progress to team members and stakeholders</li></ul>Required QualificationsEducation<ul><li>Bachelor&rsquo;s degree in Computer Science, Data Science, AI/ML, or a related field (Graduation is required).</li></ul>Technical Skills<ul><li>Strong proficiency in Python and hands-on experience with PyTorch.</li><li>Experience with Generative AI technologies: LLMs, Hugging Face NLP, and image generation tools.</li><li>Knowledge of Agentic AI frameworks, Computer Vision techniques, and NLP applications.</li><li>Familiarity with web frameworks: FastAPI, Flask, and Django.</li><li>Proficiency in writing Bash scripts, developing CI/CD pipelines, and working with Docker.</li></ul>Soft Skills<ul><li>Strong analytical and problem-solving abilities.</li><li>Ability to work independently as well as collaboratively in cross-functional teams.</li><li>Strong communication and presentation skills.</li></ul>Preferred Qualifications<ul><li>Prior experience in projects involving Generative AI, Agentic AI, NLP, or Computer Vision.</li><li>Exposure to deploying AI/ML models in production environments.</li><li>Familiarity with cloud platforms such as AWS, GCP, or Azure.</li><li>Candidates with self-implemented AI/ML projects or open-source contributions will have a clear advantage.</li></ul>Work Schedule<ul><li>Timings: 2:00 PM &ndash; 11:00 PM</li><li>Days: Monday to Friday</li><li>Stipend: Rs. 25,000 per month</li></ul>Join Us If you are a recent graduate eager to gain real-world experience in Generative AI, Agentic AI, NLP, and Computer Vision, and excited about building the future of intelligent applications, we encourage you to apply and become part of the innovative team at Devfum.Job Types: Full-time, InternshipPay: Rs25,000.00 - Rs30,000.00 per monthWork Location: In person

Data Science Intern

Northeastern University

<div>About the Opportunity
About the Institute
 
Do you want to be part of an exciting new Institute focused on the fusion of human and machine intelligence into working AI solutions? We are launching a pioneering research and innovation hub in AI&mdash;one that will shape the way humans and machines collaborate for decades to come. The Institute for Experiential AI (EAI) is built around the challenges and opportunities made possible by human-machine collaboration. The Institute provides a framework to design, implement, and scale AI-driven technologies in ways that make a true difference to society. Our ability to respond to the opportunities afforded to society will depend on training and building a workforce that is AI-capable and prosperous. Founded in 1898, Northeastern is a global research university and the recognized leader in experience-driven lifelong learning. Our world-renowned experiential approach empowers our students, faculty, alumni, and partners to create impact far beyond the confines of discipline, degree, and campus.
The Culture:
 
Here at the Institute of Experiential AI (IEAI) we are committed to the highest of standards in all that we do. Working at the Institute of Experiential AI offers opportunities, an environment, a culture that just aren&rsquo;t found together anywhere else. This is the right place for you if you&rsquo;re curious, motivated by the future of technology and want to be part of a unique community that works on high-impact business and societal problems.
This is a 1-year fixed term position.
Summary:
 
This position supports the Institute in delivering data science and AI projects and expertise to its industry partners and researchers. Assist in delivering data science and AI courses and professional development programs to learners across the University and industry. Help build AI products that will solve the most pressing issues for organizations, including Responsible AI. Be part of a fast-growing team that will develop and maintain a cutting-edge data platform, acquire data sets for research and education purposes, and use
 
data science strategically to support the Institute&rsquo;s mission.
Qualifications:
Education &amp; Experience:
<ul><li>Graduate degree (Masters/PhD) in Computer Science, Engineering, Mathematics, Statistics, or similar disciplines and two or more years of professional experience, or can convincingly demonstrate this level of skill.
</li><li>Experience assisting technical staff in the completion of projects.
</li><li>Experience communicating with technical and non-technical stakeholders and translating business
 
problems into technical specifications.
</li></ul>Knowledge, Skills, and Abilities:
<ul><li>Advanced applied statistics skills, such as distributions, statistical testing, regression, etc.
</li><li>Professional experience developing machine learning solutions and applying them in real-world scenarios.
</li><li>Proficiency with machine learning frameworks and pipelines in SKLearn, Numpy, Pandas, and PyTorch.
</li><li>Proficiency with deep learning frameworks such as PyTorch, TensorFlow, LangChain, HuggingFace,
 
axolotl.
</li><li>Knowledge of and ability to select, adapt, and effectively use large AI foundational models.
</li><li>Professional experience developing solutions using NLP, computer vision, or forecasting.
</li><li>Proficiency with statistical computer languages such as Python or R.
</li><li>Proficiency with relational database systems (SQL) and object-based data stores.
</li><li>Ability to define and solve logical problems for technical applications.
</li><li>Knowledge of and ability to select, adapt, and effectively use various programming methods.
</li></ul>Preferred Experience:
<ul><li>Knowledge of and ability to select, adapt, and effectively use large AI foundational models.
</li><li>Experience with distributed data systems such as Apache Spark.
</li><li>Expertise in analyzing large, complex, multi-dimensional datasets with various tools.
</li><li>Expertise in hypothesis testing and AB testing.
</li><li>Proficiency in Linux and version control software (git).
</li><li>Familiarity with Object-oriented programming languages such as Python, Java, C# or C++.
</li><li>Familiarity with Agile / Scrum development practices.
</li></ul>Values &amp; Abilities:
<ul><li>Aptitude to independently learn new technologies, prototype, and propose software design and solutions.
</li><li>Excellent verbal and written communication skills
</li><li>Drive to learn new technologies, statistical methods, and data manipulation techniques.
</li><li>Ability to communicate effectively across academia and industry.
</li><li>Team player who can collaborate effectively across many teams within the University.
</li><li>Open-minded and assertive when collaborating and working within our team and with other groups within
 
Northeastern University.
</li><li>Entrepreneurial mindset with an ability to navigate complex structures and processes
</li></ul>Key Responsibilities &amp; Accountabilities
<ul><li>Assisting technical solutioning using latest research, technical delivery of projects by defining tasks, by providing contributions (architecting, coding, scaling, and deploying), conducting experiments and synthesizing results
</li><li>Serve as a technical representative in internal and external meetings
</li><li>Support in developing technical stack (e.g., datasets, infrastructure) for execution on projects
</li></ul>Position Type
Research
Additional Information
Northeastern University considers factors such as candidate work experience, education and skills when extending an offer.
<div><div><div><div>Northeastern has a comprehensive benefits package for benefit eligible employees. This includes medical, vision, dental, paid time off, tuition assistance, wellness &amp; life, retirement- as well as commuting &amp; transportation. Visit https://hr.northeastern.edu/benefits/ for more information.
</div></div></div></div>All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion, color, national origin, age, sex, sexual orientation, disability status, or any other characteristic protected by applicable law.
Compensation Grade/Pay Type:
111S
Expected Hiring Range:
$86,490.00 - $122,163.75
With the pay range(s) shown above, the starting salary will depend on several factors, which may include your education, experience, location, knowledge and expertise, and skills as well as a pay comparison to similarly-situated employees already in the role. Salary ranges are reviewed regularly and are subject to change.</div>

Research Data Scientist

Intuit

<div>Category Data
Location Bangalore, India
Job ID 2025-72545</div>
 <div><div>Company Overview
<div>Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.
</div></div><div>Job Overview
Company Overview
Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With over 100 million customers worldwide using our flagship products - TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. Intuit&rsquo;s strategy is to be a global AI-driven expert platform delivering world-class experiences for our customers at unprecedented speed and scale. With AI at the heart of the strategy, Intuit has created a new organization led by our Chief AI Officer to drive Intuit&rsquo;s evolution as a global AI technology leader through a dedicated research and innovation focus and a partnership with leading academic and industry organizations. Intuit&rsquo;s AI teams have access to rich data and production grade AI platforms, enabling our scientists and engineers to move quickly from research to impact.
Job Overview
We are looking for a Principal AI Scientist to join Intuit&rsquo;s AI, Research, and Futures organization and shape the future of Intuit&rsquo;s product portfolio and expert tools by leveraging the latest research and technological advances in AI. You will be responsible for researching and solving complex, high-impact technical problems that unlock entirely new AI-driven experiences while also leading the development and deployment of new technologies and capabilities. Your work will directly shape how millions of Intuit&rsquo;s customers, both small businesses and individuals, prosper through the effective use of AI within our platforms and products.
</div><div>Responsibilities
<ul><li>Define and contribute to a multi-year technical roadmap in partnership with Intuit&rsquo;s AI leadership ensuring that Intuit stays on the leading edge of AI innovation through incubation and development of emerging new technologies and capabilities.</li></ul><ul><li>
Build end-to-end solutions that demonstrate how the state-of-the-art research in AI can drive transformative new experiences.</li></ul><ul><li>
Collaborate closely with business units and platform teams to accelerate testing and deployment of new technologies and capabilities into Intuit&rsquo;s products and platforms.
</li><li>Ensure excellence in data quality, model evaluation, and lifecycle management through rigorous monitoring, testing, and retraining practices.</li><li>
Champion responsible AI practices, ensuring models are fair, transparent, and trustworthy.</li><li>
Mentor and grow top scientific talent, championing a culture of innovation, ethics, and scientific rigor.
</li><li>Contribute to the scientific community by presenting Intuit&rsquo;s AI innovations in publications, patents, and talks.
</li></ul></div><div>Qualifications
<ul><li>MS / Ph.D. in Computer Science, Statistics, or Applied Mathematics with focus on Artificial Intelligence / Machine Learning.</li><li>
Deep technical AI expertise especially in areas like training LLMs, reasoning models, multi-modal models and their application to one more more of these areas: Forecasting and Planning, Decision Making Under Uncertainty, Multi-objective Optimization, Learning from Human Feedback, Data Cognition, and Deep Personalization.</li><li>
Demonstrated research experience in AI through publications at leading journals and conferences is a strong plus.
</li><li>8+ years of experience developing and deploying AI solutions that successfully solve challenging customer problems or enable radically new experiences.</li><li>
Ability to stay at the forefront of rapidly evolving AI research areas and apply new paradigms to business and product challenges.
</li><li>Experience translating business requirements into effective working prototypes coded up in languages like Python or using modeling frameworks like TensorFlow, Pytorch.</li><li>
Proven ability to influence cross-functional strategy and deliver solutions aligned with business goals.</li><li>
Outstanding communication and collaboration skills with ability to clearly articulate complex technical concepts to both technical and non-technical audiences.</li><li>
Experience with Machine Learning systems on cloud platforms like AWS, GCP, or Azure is preferred.</li><li>
Strong Computer Science / Data Science fundamentals including data structures, algorithms, performance complexity, data analysis, model training, A/B testing, and MLOps practices.</li></ul></div></div>

Principal AI Scientist

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