361 AI Models jobs in the United Arab Emirates

A career opportunity exists for a skilled professional to lead the deployment of Machine Learning models into pipelines.

• Oversee the team responsible for deploying and managing Machine Learning models
• Bolster capabilities to integrate ML models into existing workflows
• Collaborate with cross-functional teams to understand project requirements and ensure successful integration
• Provide ongoing support to accommodate surges in requirements, focusing on scalability and efficiency
• Utilize Python for scripting and automation tasks
• Work with cloud platforms, particularly Azure and GCP, to optimize machine learning operations

• For Team Lead Position:
• At least 3 years of experience in ML/Ops or a related field
• Proven leadership skills with the ability to guide and inspire a team
• Excellent communication skills to effectively liaise with stakeholders
• For ML/Ops Engineer Position:
• Strong experience in deploying Machine Learning models
• Proficiency in Python for scripting and automation
• Hands-on experience with cloud platforms, particularly Azure and GCP
• Prior experience in addressing scalability and pricing concerns in ML operations

• Machine learning model deployment
• Cloud platform management
• Python programming
• Leadership and collaboration

We are a team of 16+ people with In-depth expertise in AI, product design, psychology, business, and software development. With HQ in Dubai but growing as a multi-location team, we embrace all cultures and enjoy learning from each other; we currently have team members from Spain, Jordan, Egypt, India, Serbia, Iran, Armenia, and Argentina. We hope to keep adding more cultures

We deeply care about an honest, inclusive, high-performance work environment. We celebrate genuine relationships and innovative mindsets.

We are looking for an ML Software Engineer to join us on the ground floor You will work directly alongside the engineering team.

The ML Engineer at VirtuE will be an integral part of the EDAA team, working on our cutting-edge multimodal and multi model generative deep learning product. The company works on Emotional AI and integrating psychology with AI to translate human emotions into code. This role focuses on developing, training, fine-tuning, and deploying AI models for high scale, while following MLOps and software engineering protocols. You will collaborate with cross-functional teams to implement AI features that align with the product's vision and technology strategy. This role is ideal for someone with a strong foundation in machine learning, deep learning frameworks, and experience in high-load (e.g. 1K requests per second) software applications.

You will be working in:

• In the first three months of collaboration, you should be able to manage all EDAA models (Emotional data analysis and automation). You will develop, implement, and optimize ML models (to have fast response on high load) to enhance the product functionalities based on the product roadmap.
• You will train, fine-tune, and deploy machine learning and deep learning models (including LLMs).
• Integrate models into existing applications, storage tasks, and basic code development tasks based on DevOps protocols.
• and, maintain ML operations using SageMaker or something similar.

What should you bring?

Must:

• Min 4 years of work experience in developing Python applications with high load
• Hands-on experience with Deep learning frameworks (e.g. TensorFlow, PyTorch, Numpy, Pandas, Sklearn)
• Experience in training/fine-tuning deep learning models like LLMs and RAG is required.
• Knowledge of basic LINUX commands, SQL and NoSQL Database, and Cloud storage (S3 or Dynamo, etc.)

Nice to have

• Experience in model optimization (e.g. MLOps platforms like AWS SageMaker or GCP)
• Basic knowledge of deployment using Dockers.
• Basic Knowledge of REST APIs (and/or fast API), and Git.

What do all team members have in common?

• Intellectual curiosity. We encourage people to proactively address potential problems.
• We navigate ambiguity and demonstrate accountability and autonomy.
• Open-minded, we embrace all cultures and backgrounds. Eager to learn, grow, give, and receive feedback
• We embrace the principles of decentralization, valuing the power of distributed decision-making.
• Entrepreneurial spirit, excited about shaping a future where technology serves as a force for positive change

What do we offer?

• 100% Remote (UAE or anywhere in CET+-4)
• Salary based on mid-market standards
• Growing opportunities within our overall company growth (Based on Individual development plans + OKRs)
• We do 4 strategy workshops per year where we all meet either in person at the DIFC (or online) and 1 annual team gathering to spend a few days together
• International Health Insurance (for the employee only)
• Visa Sponsorship (for the employee only)

**Location:** United Arab Emirates (UAE) or anywhere in CET+-4.

Note: If you are based in the UAE, we provide an Employment Contract through the DIFC; if you are outside the UAE, we offer a Contractor Agreement.

Job Type: Full-time

Pay: AED15, AED18,000.00 per month

Education:

• Bachelor's (Preferred)

Experience:

• Machine learning : 3 years (Required)

**Job Title:** Senior AI Research Engineer, Model Inference

This position is responsible for implementing and optimizing custom inference and fine-tuning kernels for small and large language models across multiple hardware backends. The successful candidate will have hands-on experience with quantization techniques, LoRA architectures, Vulkan backend, and mobile GPU debugging, as well as a strong background in GPU acceleration, model optimization, and software development.

• Inference Optimization : Implement and optimize custom inference kernels for small and large language models across multiple hardware backends.
• Model Fine-Tuning : Implement and optimize full and LoRA fine-tuning for small and large language models across multiple hardware backends.
• Datatype Support : Design and extend datatype and precision support (int, float, mixed precision, ternary QTypes, etc.).
• Vulkan Compute Shaders : Design, customize, and optimize Vulkan compute shaders for quantized operators and fine-tuning workflows.
• GPU Acceleration : Investigate and resolve GPU acceleration issues on Vulkan and integrated/mobile GPUs.
• Quantization Techniques : Architect and prepare support for advanced quantization techniques to improve efficiency and memory usage.
• Operator Optimization : Debug and optimize GPU operators (e.g., int8, fp16, fp4, ternary).
• Quantization Workflows : Integrate and validate quantization workflows for training and inference.
• Evaluation and Benchmarking : Conduct evaluation and benchmarking (e.g., perplexity testing, fine-tuned adapter performance).
• GPU Testing : Conduct GPU testing across desktop and mobile devices.
• Collaboration : Collaborate with research and engineering teams to prototype, benchmark, and scale new model optimization methods.

**Requirements:** Strong background in GPU acceleration, model optimization, and software development; hands-on experience with quantization techniques, LoRA architectures, Vulkan backend, and mobile GPU debugging; ability to work closely with cross-functional teams to integrate optimized serving and inference frameworks into production pipelines designed for edge and on-device applications.

Nas Neuron Health Services is dedicated to simplifying healthcare and making it more accessible.

We prioritize seamless experiences, excellence in health insurance management, and innovative technology to better serve our clients and partners.

Rooted in our core values—Growth Mindset, Excellence, Resilience, Reliability, and Integrity—we provide clarity, protection, and efficiency at every step.

NAS Neuron Health Services is seeking a visionary and dynamic AI Product Manager to lead the creation and deployment of innovative AI - powered solutions that streamline internal processes and align closely with our strategic business objectives.

Engage your passion for technology, leadership, and AI in the pivotal role of Artificial Intelligence Product Manager at our forward-thinking organization

This is a critical, business facing leadership role designed for a professional who combines strong technical expertise with strategic insight to identify and prioritize high-impact AI use cases that can transform healthcare services.

As the AI Product Manager, you will serve as the driving force behind Nas Neuron's AI initiatives, owning the entire product lifecycle—from concept through development, launch, and ongoing refinement. Your role will require you to act as the vital bridge between business stakeholders, data science teams, and engineering groups, ensuring that AI solutions are not only technically feasible but also deliver measurable value to the organization and its customers.

Your mission is to translate strategic business needs into practical, intelligent, and scalable AI solutions that accelerate the company's growth, improve healthcare outcomes, and create a sustainable competitive advantage.

RESPONSIBILITIES AND DUTIES

1. Own the full lifecycle of AI products—from ideation, prototyping, and development to launch, iteration, and continuous improvement.
2. Define and communicate the product vision, strategy, and roadmap for AI-driven solutions aligned with Nas Neuron's business goals.
3. Identify and prioritize high-impact AI use cases across functions (Sales, Operations, Customer Care, Marketing, Finance, HR, Support, etc) to drive innovation and operational efficiency.
4. Lead the establishment of Agile processes for AI product development, including backlog prioritization and sprint planning, to ensure structured and timely delivery of AI initiatives.
5. Collaborate cross-functionally with engineering, design, data science, ML engineers, and marketing teams to build, deploy, and scale AI models and products.
6. Develop and maintain clear product requirements, success metrics (e.g., model accuracy, business KPIs), and performance monitoring frameworks.
7. Conduct market research, competitor analysis, monitor industry trends and R&D on cutting-edge AI technologies, especially Generative AI and Large Language Models, to inform product decisions and maintain competitive advantage.
8. Manage AI model testing, validation, and lifecycle, ensuring models meet performance, ethical, and compliance standards.
9. Prepare business cases, presentations, and regular updates for senior leadership to secure approvals and align stakeholders.
10. Drive adoption through training, vendor management, and ensuring data quality, security, and ethical AI use across the organization.

KNOWLEDGE, SKILLS, AND EXPERIENCE

1. Bachelor's degree in business, Engineering, Computer Science, or a related field. Advanced degrees or certifications in AI/ML are a plus.
2. Minimum 3 years of product management experience in a technology-driven environment, preferably with exposure to AI, machine learning, or data science projects.
3. Strong understanding of the insurance or health services industry is an advantage.
4. Proven track record of managing AI or software products through their full lifecycle—from ideation to launch and iteration.
5. Exceptional analytical and problem-solving skills with the ability to interpret complex data and make data-driven decisions.
6. Excellent verbal and written communication skills, capable of engaging and aligning stakeholders at all organizational levels.
7. Strong business acumen with the capability to translate strategic business needs into innovative AI product solutions.
8. Demonstrated leadership skills, including the ability to influence cross-functional teams and manage vendor relationships.
9. Knowledge of data privacy, compliance, and ethical considerations related to AI implementation.

TECHNICAL SKILLS AND RELEVANT TECHNOLOGIES

1. Familiarity with AI and machine learning concepts, including supervised and unsupervised learning, model training, evaluation, and deployment.
2. Familiarity with AI technologies and tools (e.g., Generative AI, Large Language Models, OpenAI, LangChain, Zapier) is beneficial.
3. Experience working with AI frameworks and platforms such as TensorFlow, PyTorch, or scikit-learn is a plus.
4. Knowledge of data preparation, feature engineering, and data quality management to support AI model development.
5. Hands-on experience or strong understanding of AI integration with software development processes and APIs.
6. Familiarity with Agile project management tools such as Jira, Trello, or Azure DevOps.
7. Basic understanding of cloud platforms and services (AWS, Azure, Google Cloud) related to AI/ML deployment and scalability.
8. Knowledge of data privacy, security, and compliance standards in AI applications.
9. Comfortable interpreting technical reports and communicating AI model performance metrics (accuracy, precision, recall, etc.) to non-technical stakeholders.

We are seeking motivated and talented Emirati fresh graduates with a strong academic background and interest in Artificial Intelligence (AI). The role will provide exposure to AI technologies such as Machine Learning, Natural Language Processing (NLP), Computer Vision, and Generative AI. The selected candidates will be part of a dynamic team working on innovative projects to support digital transformation initiatives.

• Assist in developing and implementing AI models and algorithms.
• Support in data collection, cleaning, and preprocessing for AI applications.
• Conduct research and benchmarking on AI tools and emerging technologies.
• Collaborate with senior data scientists/AI engineers on project requirements.
• Contribute to building prototypes, proof-of-concepts, and AI-driven solutions.
• Document findings, processes, and model performance for knowledge sharing.
• Participate in training sessions, workshops, and continuous learning activities.

• Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or a related field.
• Strong foundation in programming (Python, R, or Java).
• Basic knowledge of AI/ML concepts (Machine Learning, Deep Learning, NLP, or Gen AI).
• Familiarity with data analysis, statistics, and algorithms.
• Good understanding of databases and data structures.
• Strong problem-solving and analytical skills.
• Excellent communication and teamwork abilities.
• Willingness to learn and adapt to new AI tools and technologies.

• Training and mentorship from AI and data science experts.
• Hands-on exposure to AI projects and real-world applications.
• Career development opportunities in emerging technologies.
• A collaborative and innovative work environment.

Management Consulting Company

The client is seeking a highly capable Associate Director with a senior leadership position focused on overseeing the strategic development, implementation, and governance of AI technologies.

1. Define and drive the organization's AI vision and long-term strategy.
2. Align AI initiatives with business goals and objectives.
3. Identify opportunities for AI across products, operations, customer service.
4. Lead the planning and execution of AI projects.
5. Manage cross-functional teams (data scientists, ML engineers, product managers).
6. Ensure timely delivery, quality, and ethical integrity of AI systems.
7. Build and lead a high-performing AI team.
8. Mentor technical staff and foster a culture of innovation and continuous learning.
9. Collaborate with other departments (IT, Legal, Operations) to integrate AI smoothly.
10. Ensure compliance with legal and regulatory requirements (e.g., GDPR, AI Act).
11. Stay up-to-date on emerging AI technologies, tools, and methodologies.
12. Make strategic decisions on whether to build in-house solutions or adopt third-party platforms.
13. Report to executive leadership or the board on progress, impact, and future plans.

Bachelor's or Master's in Information Technology or related field. Ability to link AI initiatives to larger business strategy. Deep knowledge of machine learning, data science, natural language processing, or computer vision. Capable of articulating both technical and business value to varied audiences. Living in UAE is appreciated; VISA provided.

Full-time, UAE on ground.

Immediate need.

6-12 months hiring.

Able to attract more qualified candidates.

Overview

Join Tether and Shape the Future of Digital Finance. At Tether, we’re building solutions that enable reserve-backed tokens across blockchains. Our technology supports storing, sending, and receiving digital tokens globally with transparency and trust.

Our team is a global, remote workforce. If you’re passionate about fintech, collaborate with leading minds and contribute to a fast-growing leader in the industry. Excellent English communication skills are a plus.

We’re seeking experienced AI infrastructure engineers to design and implement robust, scalable pipelines for massive data workloads. Join Tether’s applied research team to contribute to high-impact projects across thousands of GPUs and video generation foundation development.

• Build and scale high-throughput data infrastructure optimized for video and multimodal content processing across large GPU clusters (e.g., H100/H200).



• Design core preprocessing algorithms for video, audio, text, and image modalities, enabling efficient extraction, synchronization, and normalization of temporal data.



• Build automated acquisition pipelines for sourcing large-scale video datasets, handling diverse formats, frame rates, annotations, and embedded audio.



• Architect robust systems for scalable evaluation and annotation, including prompt-based scoring, perceptual metrics, caption generation, and retrieval-based diagnostics.



• Collaborate with model researchers to co-design video model architectures (e.g. DiTs, VAEs, spatio-temporal transformers) and training schedules across pretraining and fine-tuning stages.



• Optimize distributed data loading and pipeline throughput for training at scale, ensuring robustness across model variants and modality combinations.



• Manage infrastructure to support experiment tracking, model versioning, and cross-team deployment workflows, integrating with production and research platforms.



• Support backend engineering across research, product, and creative teams to ensure seamless integration of data and model workflows from prototyping to inference.

• Proficient in Python with strong programming skills across backend, infrastructure, and data tooling domains.



• Strong software engineering experience, including 2+ years working with petabyte-scale data pipelines and systems across thousands of GPUs.



• Proven ability to architect and maintain large-scale distributed systems for data processing and delivery.



• Deep expertise in orchestration frameworks such as Kubernetes and SLURM with hands-on experience deploying and managing high-throughput workloads.

• Practical experience on building pipelines and infrastructure with visual and multimodal datasets, including image/video pipelines.



• Experience in building video foundation infrastructure pipelines and workflows with collaboration of LLM and/or video foundation research and engineering teams is a strong advantage.

• 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: tether.recruitee.com



• Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. If you’re unsure, confirm their identity by checking their profile or contacting us through our website.



• 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.



• Double-check email addresses. All communication from us will come from emails ending in tether.to or tether.io.



• We will never request payment or financial details. If someone asks for personal financial information or payment during the hiring process, it is a scam. Please report it immediately.

When in doubt, feel free to reach out through our official website.

Overview

Join Tether and Shape the Future of Digital Finance. At Tether, we’re building solutions that enable reserve-backed tokens across blockchains. Our technology supports storing, sending, and receiving digital tokens globally with transparency and trust.

Our team is a global, remote workforce. If you’re passionate about fintech, collaborate with leading minds and contribute to a fast-growing leader in the industry. Excellent English communication skills are a plus.

We’re seeking experienced AI infrastructure engineers to design and implement robust, scalable pipelines for massive data workloads. Join Tether’s applied research team to contribute to high-impact projects across thousands of GPUs and video generation foundation development.

• Build and scale high-throughput data infrastructure optimized for video and multimodal content processing across large GPU clusters (e.g., H100/H200).



• Design core preprocessing algorithms for video, audio, text, and image modalities, enabling efficient extraction, synchronization, and normalization of temporal data.



• Build automated acquisition pipelines for sourcing large-scale video datasets, handling diverse formats, frame rates, annotations, and embedded audio.



• Architect robust systems for scalable evaluation and annotation, including prompt-based scoring, perceptual metrics, caption generation, and retrieval-based diagnostics.



• Collaborate with model researchers to co-design video model architectures (e.g. DiTs, VAEs, spatio-temporal transformers) and training schedules across pretraining and fine-tuning stages.



• Optimize distributed data loading and pipeline throughput for training at scale, ensuring robustness across model variants and modality combinations.



• Manage infrastructure to support experiment tracking, model versioning, and cross-team deployment workflows, integrating with production and research platforms.



• Support backend engineering across research, product, and creative teams to ensure seamless integration of data and model workflows from prototyping to inference.

• Proficient in Python with strong programming skills across backend, infrastructure, and data tooling domains.



• Strong software engineering experience, including 2+ years working with petabyte-scale data pipelines and systems across thousands of GPUs.



• Proven ability to architect and maintain large-scale distributed systems for data processing and delivery.



• Deep expertise in orchestration frameworks such as Kubernetes and SLURM with hands-on experience deploying and managing high-throughput workloads.

• Practical experience on building pipelines and infrastructure with visual and multimodal datasets, including image/video pipelines.



• Experience in building video foundation infrastructure pipelines and workflows with collaboration of LLM and/or video foundation research and engineering teams is a strong advantage.

• 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: tether.recruitee.com



• Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. If you’re unsure, confirm their identity by checking their profile or contacting us through our website.



• 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.



• Double-check email addresses. All communication from us will come from emails ending in tether.to or tether.io.



• We will never request payment or financial details. If someone asks for personal financial information or payment during the hiring process, it is a scam. Please report it immediately.

When in doubt, feel free to reach out through our official website.

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

We're seeking experienced AI infrastructure Engineers to design and implement robust, scalable pipelines for massive data workloads. Join Tether’s applied research team, where you’ll contribute to high-impact projects that run across thousands of GPUs and drive cutting-edge video generation foundation development.

Responsibilities

• Build and scale high-throughput data infrastructure optimized for video and multimodal content processing across large GPU clusters (e.g., H100/H200).

• Design core preprocessing algorithms for video, audio, text, and image modalities, enabling efficient extraction, synchronization, and normalization of temporal data.

• Build automated acquisition pipelines for sourcing large-scale video datasets, handling diverse formats, frame rates, annotations, and embedded audio.

• Architect robust systems for scalable evaluation and annotation, including prompt-based scoring, perceptual metrics, caption generation, and retrieval-based diagnostics.

• Collaborate with model researchers to co-design video model architectures (e.g. DiTs, VAEs, spatio-temporal transformers) and training schedules across pretraining and fine-tuning stages.

• Optimize distributed data loading and pipeline throughput for training at scale, ensuring robustness across model variants and modality combinations.

• Manage infrastructure to support experiment tracking, model versioning, and cross-team deployment workflows, integrating with production and research platforms.

• Support backend engineering across research, product, and creative teams to ensure seamless integration of data and model workflows from prototyping to inference.

• Proficient in Python with strong programming skills across backend, infrastructure, and data tooling domains.

• Strong software engineering experience, including 2+ years working with petabyte-scale data pipelines and systems across thousands of GPUs.

• Proven ability to architect and maintain large-scale distributed systems for data processing and delivery.

• Deep expertise in orchestration frameworks such as Kubernetes and SLURM with hands-on experience deploying and managing high-throughput workloads.

Preferred Qualifications

• Practical experience on building pipelines and infrastructure with visual and multimodal datasets, including image/video pipelines.

• Experience in building video foundation infrastructure pipelines and workflows with collaboration of LLM and/or video foundation research and engineering teams is a strong advantage.

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. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page:

• Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website.

• 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.

• Double-check email addresses. All communication from us will come from emails ending in @ tether.to or@ tether.io

• 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.

When in doubt, feel free to reach out through our official website.