273 Research Engineer jobs in the United Arab Emirates

New York University: NYU - Global: Abu Dhabi: AD_Engineering

Abu Dhabi

Sep 08, 2025

Location

Abu Dhabi, United Arab Emirates

Description

The Division of Engineering at New York University Abu Dhabi, seeks to recruit a motivated Research engineer to work under the supervision of Dr. Marwa Chafii on Channel Modeling for integrated sensing and communication (ISAC).

Responsibilities:

• Lead the design, setup, and execution of ISAC channel measurement campaigns across multiple environments, hardware platforms, and frequency bands
• Develop, validate, and document ISAC channel modeling methodologies tailored to the lab's hardware/software testbed.
• Integrate SDRs (e.g., USRPs, RFSoC) and RF front-ends (FR2, FR3, V-band) into end-to-end ISAC demonstrators.
• Implement and optimize advanced signal processing algorithms for joint communication and sensing.
• Analyze experimental datasets, extract statistical models, and compare findings across environments, hardware, and frequency bands.
• Collaborate with PhD students, postdocs, and faculty on joint projects, ensuring experimental results support theoretical work.
• Co-author scientific publications in IEEE journals and conferences, and contribute to open datasets/methodologies for the research community.

Requirements:

• Education: Ph.D. (preferred) or M.Sc. in Electrical Engineering, Telecommunications Engineering, or a closely related field.
• SDR Expertise: Strong hands-on experience with SDRs (USRP, RFSoC, or equivalent). FPGA programming experience is a plus.
• Programming Skills: Strong experience with MATLAB and/or Python; experience with C++ for high-performance signal processing is a plus.
• Experimentation: Proven experience developing wireless prototypes, demonstrators, or proof-of-concept systems.
• Signal Processing: Solid knowledge of channel estimation, channel sounding, and multipath modeling (channel impulse response, frequency response, MIMO models, AoA, AoD, delay, Doppler, etc).
• RF Systems: Familiarity with RF front-ends, antennas, calibration, synchronization, and over-the-air testing.
• Teamwork: Ability to collaborate in an interdisciplinary environment, working with researchers and engineers at different seniority levels.
• Communication: Strong written and oral communication skills for preparing technical reports, presentations, and publications.
• Independence: Proven ability to work independently, from problem formulation, experimental design, and system integration to data analysis and reporting.

The candidate will work in a multidisciplinary environment consisting of PhD-level scientists, graduate students and undergraduate students.

Applications will be accepted on a rolling basis and candidates will be considered until the position is filled. For consideration, applicants need to submit a cover letter, curriculum vitae with a full publication list,transcript and at least two letters of reference, all in PDF format. If you have any questions, please email Dr. Marwa Chafii at

The terms of employment are very competitive and the position provides a salary higher than internationally competitive rates for research associate positions, in addition to substantial benefits (generous housing, transportation and travel allowances, educational subsidies for children), together with full health insurance and retirement contributions. The UAE does not levy income tax.

Qualifications

This position is not located in the United States. You must be willing to relocate to Abu Dhabi, United Arab Emirates.

About NYUAD

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'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.

Arthur Lawrence is urgently looking for a Research Engineer for a client in Dubai, UAE. Kindly review the job requirements below. Your immediate application will enable us to place you successfully.

Must Have:

• 5+ years of experience in industrial research in manufacturing process / parts production
• Skilled in geometric modeling, 3D Designing,3D printing automation and Fab Lab
• In Depth knowledge of manufacturing, fabrication, testing parts, and application of additive manufacturing
• Hands-on experience with industrial/research with 3D designing and additive manufacturing
• Bachelor's degree in engineering or in related field

Nice to Have:

• Master's Degree in Science / Engineering or in related field

About Us:

Arthur Lawrence is a management and technology consulting firm providing enterprise-wide business transformation and business applications implementation services. Our in-depth technical knowledge and broad experience of working with world-class companies enables organizations to leverage our capabilities in developing winning strategies and cost-effective solutions.

We are an UN Women Empowerment Principal Signatory and are certified from National Minority Supplier Development Council.

Acknowledgements from Industry Peers:

• Winner of Entrepreneur 360 Award (2019).
• IAOP Award; Ranked in top 100 internationally.
• Arthur Lawrence ranked within the Inc 5000 twice in 2016 and 2017 as one of the fastest. Growing companies of America.
• Named one of the top ten fastest growing businesses in Houston in 2016.
• Ranked 25th in the HBJ s Fast 100 Private Companies Award in 2017.

We rely on the seven core values that we believe enable us to deliver quality for our consultants and clients: Education, Integrity, Value Creation, Collaboration, Best Client, Best People and Stewardship

Through strict adherence to these core values, we have achieved success beyond all documented forecasts and anticipation.

How much experience do you have in R&D?* Less than a year 2 Years More than 2 years 4 years

How much experience do you have in 3D Designing / 3D Printing?* 2 Years 3 Years 4 Years 5 years

Do you have Scopus indexed publication records?* Yes No

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Our team is a global talent powerhouse, working remotely from every corner of the world. If you'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'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 LLM architectures, a strong grasp of pre-training optimization 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 AI performance.

Responsibilities
:

• Conduct pre-training AI models on large, distributed servers equipped with thousands of NVIDIA GPUs.
• Design, prototype, and scale innovative architectures to enhance model intelligence.
• Independently and collaboratively execute experiments, analyze results, and refine methodologies for optimal performance.
• Investigate, debug, and improve both model efficiency and computational performance.
• Contribute to the advancement of training systems to ensure seamless scalability and efficiency on target platforms.

Job requirements

• A degree in Computer Science or related field. Ideally PhD in NLP, Machine Learning, or a related field, complemented by a solid track record in AI R&D (with good publications in A* conferences).
• Hands-on experience contributing to large-scale LLM training runs on large, distributed servers equipped with thousands of NVIDIA GPUs, ensuring scalability and impactful advancements in model performance.
• Familiarity and practical experience with large-scale, distributed training frameworks, libraries and tools.
• Deep knowledge of state-of-the-art transformer and non-transformer modifications aimed at enhancing intelligence, efficiency and scalability.
• Strong expertise in PyTorch and Hugging Face libraries with practical experience in model development, continual pretraining, and deployment.

As a Sr. Research Engineer, you will be responsible for building AI systems that can perform previously improbable tasks or achieve unprecedented levels of performance. Were looking for people with solid engineering skills (for example designing, implementing, and improving a massive-scale distributed machine learning system), writing bug-free machine learning code, and building the science behind the algorithms employed. The most outstanding deep learning results are increasingly attained at a massive scale, and these results require engineers who are comfortable working in large distributed systems.

Responsibilities

• Past experience in creating high-performance implementations of deep learning algorithms
• Have experience working in large distributed systems
• Provide technical perspective to develop ML best practices and influence engineering culture in the team
• Have in depth knowledge of how the machine learning system interacts with systems around it
• Evaluate the tradeoffs of different ML models/systems and deploy best ML practices
• Experience with Data/Feature Engineering, Training, Evaluation and Deployment of ML models

Qualifications

• Have run at least small-scale ML experiments
• Love figuring out how systems work and continuously come up with ideas for how to make them faster while minimizing complexity and maintenance burden
• Have strong software engineering skills and are proficient in Python
• Comfortable working with researchers to enable them to develop the next generation of models

Join Tether and Shape the Future of Digital Finance

At Tether, we're not just building products, we're pioneering a global financial revolution. Our solutions enable seamless integration of reserve-backed tokens across blockchains, empowering businesses worldwide. Transparency and security are at the core of our mission to build trust in digital transactions.

Innovate with Tether

Tether Finance: Home of the trusted stablecoin USDT and innovative digital asset tokenization services.

Tether Power: Eco-friendly energy solutions for Bitcoin mining, utilizing sustainable practices across diverse locations.

Tether Data: Advancing AI and peer-to-peer tech with solutions like KEET for secure data sharing.

Tether Education: Providing accessible digital learning to empower individuals in the digital economy.

Tether Evolution: Pushing technological boundaries to merge human potential with innovation.

Why Join Us?

Our remote, global team is passionate about fintech innovation. Join us to work alongside top talent, influence industry standards, and grow with a fast-paced, industry-leading company.

If you excel in English communication and are eager to contribute to cutting-edge platforms, Tether is your next career move.

About the job:

As part of our AI model team, you will innovate in model serving and inference architectures for advanced AI systems, focusing on optimizing deployment strategies for responsiveness, efficiency, and scalability across various hardware environments, including resource-constrained devices and complex multi-modal systems.

Your role involves developing, testing, and deploying robust inference pipelines, establishing performance metrics, and troubleshooting bottlenecks to ensure high-throughput, low-latency AI performance in real-world applications.

Responsibilities:

• Design and deploy high-performance model serving architectures optimized for diverse environments, including edge devices.
• Set and track performance targets such as latency reduction, token response improvements, and memory minimization.
• Conduct inference testing in simulated and live environments, monitoring key metrics and documenting results for continuous improvement.
• Prepare high-quality datasets and scenarios for real-world deployment challenges, especially on low-resource devices.
• Analyze and address bottlenecks in serving pipelines to enhance scalability and reliability.
• Collaborate with teams to integrate optimized inference frameworks into production, ensuring continuous monitoring and improvement.

Minimum requirements:

• Degree in Computer Science or related field; PhD preferred, with a strong record in AI R&D.
• Proven experience in kernel and inference optimization on mobile devices, demonstrating measurable performance improvements.
• Deep understanding of modern model serving architectures and optimization techniques for resource-constrained environments.
• Expertise in CPU and GPU kernel development for mobile platforms and experience deploying inference pipelines.
• Ability to translate empirical research into practical optimizations, with skills in evaluation frameworks and iterative improvement.

Join Tether and Shape the Future of Digital Finance

At Tether, we're not just building products, we're pioneering a global financial revolution. Our solutions enable seamless integration of reserve-backed tokens across blockchains, empowering businesses worldwide. Transparency and security are at the core of our mission to build trust in digital transactions.

Innovate with Tether

Tether Finance: Home of the trusted stablecoin USDT and innovative digital asset tokenization services.

Tether Power: Eco-friendly energy solutions for Bitcoin mining, utilizing sustainable practices across diverse locations.

Tether Data: Advancing AI and peer-to-peer tech with solutions like KEET for secure data sharing.

Tether Education: Providing accessible digital learning to empower individuals in the digital economy.

Tether Evolution: Pushing technological boundaries to merge human potential with innovation.

Why Join Us?

Our remote, global team is passionate about fintech innovation. Join us to work alongside top talent, influence industry standards, and grow with a fast-paced, industry-leading company.

If you excel in English communication and are eager to contribute to cutting-edge platforms, Tether is your next career move.

About the job:

As part of our AI model team, you will innovate in model serving and inference architectures for advanced AI systems, focusing on optimizing deployment strategies for responsiveness, efficiency, and scalability across various hardware environments, including resource-constrained devices and complex multi-modal systems.

Your role involves developing, testing, and deploying robust inference pipelines, establishing performance metrics, and troubleshooting bottlenecks to ensure high-throughput, low-latency AI performance in real-world applications.

Responsibilities:

• Design and deploy high-performance model serving architectures optimized for diverse environments, including edge devices.
• Set and track performance targets such as latency reduction, token response improvements, and memory minimization.
• Conduct inference testing in simulated and live environments, monitoring key metrics and documenting results for continuous improvement.
• Prepare high-quality datasets and scenarios for real-world deployment challenges, especially on low-resource devices.
• Analyze and address bottlenecks in serving pipelines to enhance scalability and reliability.
• Collaborate with teams to integrate optimized inference frameworks into production, ensuring continuous monitoring and improvement.

Minimum requirements:

• Degree in Computer Science or related field; PhD preferred, with a strong record in AI R&D.
• Proven experience in kernel and inference optimization on mobile devices, demonstrating measurable performance improvements.
• Deep understanding of modern model serving architectures and optimization techniques for resource-constrained environments.
• Expertise in CPU and GPU kernel development for mobile platforms and experience deploying inference pipelines.
• Ability to translate empirical research into practical optimizations, with skills in evaluation frameworks and iterative improvement.

Join to apply for the AI Research Engineer (Model Evaluation) role at Tether.io

1 month ago Be among the first 25 applicants

Join to apply for the AI Research Engineer (Model Evaluation) role at Tether.io

Get AI-powered advice on this job and more exclusive features.

Join Tether and Shape the Future of Digital Finance

At Tether, we're not just building products, we're pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—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's most trusted stablecoin, USDT, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.

But that'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'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'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 our AI model team, you will drive innovation across the entire AI lifecycle by developing and implementing rigorous evaluation frameworks and benchmark methodologies for pre-training, post-training, and inference. Your work will focus on designing metrics and assessment strategies that ensure our models are highly responsive, efficient, and reliable across real-world applications. You will work on a wide spectrum of systems, from resource-efficient models designed for limited hardware environments to complex, multi-modal architectures that integrate text, images, and audio.

We expect you to have deep expertise in advanced model architectures, pre-training and post-training practices, and inference evaluation frameworks. Adopting a hands-on, research-driven approach, you will develop, test, and implement novel evaluation strategies that rigorously track key performance indicators such as accuracy, latency, throughput, and memory footprint. Your evaluations will not only benchmark model performance at each stage, from the foundational pre-training phase to targeted post-training refinements and final inference but will also provide actionable insights.

A key element of this role is collaborating with cross-functional teams including product management, engineering, and operations to share your evaluation findings and integrate stakeholder feedback. You will engineer robust evaluation pipelines and performance dashboards that serve as a common reference point for all stakeholders, ensuring that the insights drive continuous improvement in model deployment strategies. The ultimate goal is to set industry-leading standards for AI model quality and reliability, delivering scalable performance and tangible value in dynamic, real-world scenarios.

Responsibilities:

• Develop, test, and deploy integrated frameworks that rigorously assess models during pre-training, post-training, and inference. Define and track key performance indicators such as accuracy, loss metrics, latency, throughput, and memory footprint across diverse deployment scenarios.
• Curate high-quality evaluation datasets and design standardized benchmarks to reliably measure model quality and robustness. Ensure that these benchmarks accurately reflect improvements achieved through both pre-training and post-training processes, and drive consistency in evaluation practices.
• Engage with product management, engineering, data science, and operations teams to align evaluation metrics with business objectives. Present evaluation findings, actionable insights, and recommendations through comprehensive dashboards and reports that support decision-making across functions.
• Systematically analyze evaluation data to identify and resolve bottlenecks across the model lifecycle. Propose and implement optimizations that enhance model performance, scalability, and resource utilization on resource-constrained platforms, ensuring efficient pre-training, post-training, and inference.
• Conduct iterative experiments and empirical research to refine evaluation methodologies, staying abreast of emerging techniques and trends. Leverage insights to continuously enhance benchmarking practices and improve overall model reliability, ensuring that all stages of the model lifecycle deliver measurable value in real-world applications.
• A degree in Computer Science or related field. Ideally PhD in NLP, Machine Learning, or a related field, complemented by a solid track record in AI R&D (with good publications in A* conferences).
• Demonstrated experience in designing and evaluating AI models at multiple stages from pre-training, post-training, and inference. You should be proficient in developing evaluation frameworks that rigorously assess accuracy, convergence, loss improvements, and overall model robustness, ensuring each stage of the AI lifecycle delivers measurable real-world value.
• Strong programming skills and hands-on expertise in evaluation benchmarks and frameworks are essential. Familiarity with building, automating, and scaling complex evaluation and benchmarking pipelines, and experience with performance metrics: latency, throughput, and memory footprint.
• Proven ability to conduct iterative experiments and empirical research that drive the continuous refinement of evaluation methodologies. You should be adept at staying abreast of emerging trends and techniques, leveraging insights to enhance benchmarking practices and model reliability.
• Demonstrated experience collaborating with diverse teams such as product, engineering, and operations in order to align evaluation strategies with organizational goals. You must be skilled at translating technical findings into actionable insights for stakeholders and driving process improvements across the model development lifecycle.

• Seniority level Not Applicable

• Employment type Full-time

• Job function Information Technology
• Industries Technology, Information and Internet

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We're unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

We're pioneering a global financial revolution with cutting-edge solutions empowering businesses to seamlessly integrate reserve-backed tokens across blockchains.

Harnessing the power of blockchain technology, we enable you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost.

Innovate with Us : Our innovative product suite features the world's most trusted stablecoin, USDT, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.

We have several initiatives: Tether Finance, Tether Power, Tether Data, Tether Education, and Tether Evolution. These push the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.

About The Role : 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.

Expertise in video generation model architectures with a hands-on, research-driven approach is required.

Responsibilities :

• Pioneer multimodal and video-centric research that moves fast and breaks ground, contributing directly to usable prototypes and scalable systems.
• Design and implement novel AI architectures for multimodal language models, integrating text, visual, and audio modalities.
• Engineer scalable training and inference pipelines optimized for large-scale multimodal datasets and distributed GPU systems across thousands of GPUs.
• Optimize systems and algorithms for efficient data processing, model execution, and pipeline throughput.
• Build modular tools for preprocessing, analyzing, and managing multimodal data assets (e.g., images, video, text).
• Collaborate cross-functionally with research and engineering teams to translate cutting-edge model innovations into production-grade solutions.
• Prototype generative AI applications showcasing new capabilities of multimodal foundation models in real-world products.
• Develop benchmarking tools to rigorously evaluate model performance across diverse multimodal tasks.

Requirements :

• Bachelor's degree in Computer Science, Computer Engineering, or a related technical field, or equivalent practical experience
• Expertise in Python & Pytorch, including practical experience working with the full development pipeline from data processing & data loading to training, inference, and optimization.
• Experience working with large-scale text data, or (bonus) interleaved data spanning audio, video, image, and/or text.
• 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.

Nice to Have Skills :

• PhD in Computer Vision, Machine Learning, NLP, Computer Science, Applied Statistics, or a closely related field
• Demonstrated expertise in computer vision, video generation foundation model and/or multimodal research.
• First-author publications at leading AI conferences such as CVPR, ICCV, ECCV, ICML, ICLR, NeurIPS etc.

Candidate Information :

• Apply only through official channels.
• Verify recruiter identity.
• Be cautious of unusual communication methods.
• Double-check email addresses.
• We will never request payment or financial details.

Join Tether and Shape the Future of Digital Finance. At Tether, we're not just building products, we're pioneering a global financial revolution.

Our cutting-edge solutions empower businesses 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.

Innovate with Tether : Our innovative product suite features the world's most trusted stablecoin, USDT , relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.

We have several initiatives: Tether Finance , Tether Power , Tether Data , Tether Education , and Tether Evolution . These push 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'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.

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.

deep expertise in video generation model architectures with a hands-on, research-driven approach.

Responsibilities :

• Pioneer multimodal and video-centric research that moves fast and breaks ground, contributing directly to usable prototypes and scalable systems.
• Design and implement novel AI architectures for multimodal language models, integrating text, visual, and audio modalities.
• Engineer scalable training and inference pipelines optimized for large-scale multimodal datasets and distributed GPU systems across thousands of GPUs.
• Optimize systems and algorithms for efficient data processing, model execution, and pipeline throughput.
• Build modular tools for preprocessing, analyzing, and managing multimodal data assets (e.g., images, video, text).
• Collaborate cross-functionally with research and engineering teams to translate cutting-edge model innovations into production-grade solutions.
• Prototype generative AI applications showcasing new capabilities of multimodal foundation models in real-world products.
• Develop benchmarking tools to rigorously evaluate model performance across diverse multimodal tasks.

Requirements :

• Bachelor's degree in Computer Science, Computer Engineering, or a related technical field, or equivalent practical experience
• Expertise in Python & Pytorch, including practical experience working with the full development pipeline from data processing & data loading to training, inference, and optimization.
• Experience working with large-scale text data, or (bonus) interleaved data spanning audio, video, image, and/or text.
• 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.

Nice to have skills :

• PhD in Computer Vision, Machine Learning, NLP, Computer Science, Applied Statistics, or a closely related field
• Demonstrated expertise in computer vision, video generation foundation model and/or multimodal research.
• First-author publications at leading AI conferences such as CVPR, ICCV, ECCV, ICML, ICLR, NeurIPS etc.

Important information for candidates : Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles:

• Apply only through our official channels.
• Verify the recruiter's identity.
• Be cautious of unusual communication methods.
• Double-check email addresses.
• We will never request payment or financial details.