28 Voice Assistants jobs in the United Arab Emirates

Scripts provided to you that you will read can include, but may not be limited to, the following topics

Natural Conversations

spontaneous conversations on various topics

themed conversations with the goal of retrieving information

planning conversations between one person and an assistant

creative use conversations where one person instructs the other to compose stories, poems, or jokes

Customer Service Use Cases

one person is talking with a customer service rep for various reasons, such as placing an order, arranging a return, reporting an issue with a product or service, or obtaining account access

Qualifications

General requirements

Native or bilingual proficiency in the Arabic of the UAE (ar-AE)

Proficiency in written English

Ability to deliver very expressive dialogues and professional performances, conveying the correct emotions as per the script.

The dialogues will include non verbals (e.g., laughter, sighs, gasps) to add richness and variety to the vocal performance.

Ability to commit to submitting approximately 10 hours per week of recording for the duration of the contract.

Nice-to-haves (Preference will be given to talent with these qualifications.)

Experience working with scripts (for example, voice-over work, audiobook reading, acting)

Experience with professional speech recording

Equipment requirements

PC or Laptop capable of meeting the technical specifications listed below for the contract’s deliverables and browser with the most recent security updates installed

Microphones with high-quality audio

High-speed, password protected internet connection.

Performing work over an open wireless network connection is NOT allowed If you will be recording with your partner virtually and need to use the client’s recording platform, you must meet the following requirements

Operating system : Windows 7 or higher, macOS Big Sur or higher

Browser : Google Chrome or Microsoft Edge.

Recommended : CPU with 4 or more cores.

At least 5 GB free space on your system, an internet connection with 10 Mbps or better download, and 5 Mbps or better upload.

Technical Requirements for submitted recordings

File Type : Unprocessed, RAW .wav (24 bit, 48 kHz, stereo)

Stereo Recording : One voice panned to Left channel, other panned to Right channel

Noise Floor : -60dB or better

Quality : Naturally minimized background noise, breaths, and clicks (no plugins).

Recording must be done in a quiet environment with minimal background noise.

Are you actively seeking a new job role? Well, you are at the right place! We’re looking for a skilled Machine Learning Expert to join our team and enhance our AI-driven information systems. The ideal candidate will develop intelligent models that optimize database queries and improve our robotics dialogue flow, enabling natural voice-based interactions between users and our robot. This role involves working with large datasets, implementing AI-powered solutions, and collaborating with cross-functional teams to bring cutting-edge machine learning innovations into our systems.

• Design, develop, and optimize machine learning models for database query automation and voice-based interactions.
• Enhance the robotic dialogue flow by implementing NLP (Natural Language Processing) models for seamless user communication.
• Work with SQL and NoSQL databases to improve query efficiency and response time using AI-driven approaches.
• Develop speech recognition and text-to-speech models to facilitate natural voice interactions.
• Implement predictive analytics and recommendation systems to enhance user experience.
• Collaborate with software engineers, data scientists, and robotics experts to integrate AI models into existing systems.
• Train and fine-tune deep learning and reinforcement learning models for adaptive conversation flows.
• Monitor model performance, troubleshoot issues, and continuously refine algorithms.

• Bachelor’s or Master’s degree in Computer Science, AI, Machine Learning, or a related field.
• Strong proficiency in Python, TensorFlow, PyTorch, and Scikit-learn.
• Experience with NLP frameworks such as spaCy, NLTK, or OpenAI GPT models.
• Knowledge of speech recognition technologies like DeepSpeech or Google Speech-to-Text API.
• Experience with database management and AI-driven query optimization.
• Familiarity with robotics frameworks such as ROS (Robot Operating System) is a plus.
• Strong analytical and problem-solving skills.
• Excellent teamwork and communication abilities.

• Experience in deploying AI models to production using Docker, Kubernetes, or cloud platforms (AWS, Azure, GCP).
• Hands-on experience with LLMs (Large Language Models) for advanced dialogue generation.
• Understanding of edge AI for deploying models on embedded systems or robotics hardware.

We are a group of professionals aiming to create a positive impact that makes a difference in mobility solutions. We are focused on developing unique solutions that fit the needs of customers across the industry verticals.

Messilat is seeking a talented MLOps Engineer for our client's team. The perfect candidate will excel in deploying models, managing microservices, utilizing Docker, and maintaining Kubernetes. Our client is also exploring AI applications in customer service, cybersecurity, and compliance.

Key Responsibilities

• Transition models from development to production, ensuring scalability and high performance. Collaborate with development teams for seamless model deployment.
• Implement monitoring and maintenance strategies for deployed models to ensure ongoing accuracy and reliability.
• Maintain Kubernetes clusters to ensure high availability and performance.
• Work with cross-functional teams to understand business requirements and deliver effective machine learning solutions.
• Develop and implement strategies that optimize efficiency and data quality.

Qualifications

• Minimum of 3 years of experience in MLOps or a related field.
• Expertise in model deployment, containerization, and orchestration (e.g., Docker, Kubernetes).
• Familiarity with cloud platforms (e.g., AWS, or on-premises) for model deployment and management.
• Experience in deploying AI models and managing their lifecycle.
• Proficiency in Python for scripting and automation.
• Prior experience in addressing scalability and pricing concerns in ML operations.

Skills

• Model deployment, monitoring, Docker, Kubernetes, AWS Cloud services, on-premises deployment, collaboration.

If you are passionate about MLOps and looking for a challenging role where you can make a significant impact, we would love to hear from you. Apply today!

EchoTwin AI is the intelligence layer powering self-healing cities—urban systems that not only detect issues in real time, but also trigger automated corrective actions or surface prioritized insights through agentic workflows. This represents a fundamental shift from reactive governance to proactive, adaptive urban management. The result? Cleaner, safer, smarter cities that manage themselves.

Our platform combines artificial intelligence, digital twins, and spatial analytics to help municipalities and infrastructure operators monitor assets, enforce compliance, and optimize urban operations. By integrating edge-based visual intelligence with real-time data and geospatial reasoning, EchoTwin AI delivers continuous oversight and faster, more intelligent responses to complex urban challenges.

With deployments across North America and the Middle East—including flagship projects in New York City, Abu Dhabi, and Riyadh—we partner with forward-thinking governments and innovators to build resilient, adaptive infrastructure for the cities of tomorrow.

• Collaborate with cross-functional teams, including the product manager, software developers, and domain experts.

• Research and experiment with state-of-the-art tools and techniques in Machine Learning.

• Document processes, pipelines, and model performance thoroughly.

• Train and deploy machine learning models for object detection and classification in images and videos.

• Preprocess and annotate image and video datasets for training purposes.

• ·Optimize deep learning models for efficiency and scalability in production.

• ·Design and implement predictive models to analyze trends, patterns, and anomalies.

• Develop data pipelines with data engineers to handle large-scale structured and unstructured datasets.

• Apply statistical and machine learning techniques to forecast outcomes and support decision-making.

• Master’s or Bachelor's degree in Computer Science, Mathematics, IT, or a related field.

• 5+ years of experience as a Computer Vision Engineer.

• 10+ years in software development and machine learning.

• Strong knowledge of machine learning concepts and algorithms.

• Proficiency in Python, C++, and ML libraries like TensorFlow or PyTorch.

• Solid understanding of data preprocessing, feature engineering, and model evaluation techniques.

• Experience in computer vision, particularly object detection and image processing techniques (e.g., YOLO).

• Familiarity with predictive analytics tools.

• Knowledge of cloud platforms (AWS) for deploying and managing machine learning models.

• Experience with MLOps practices.

• Proficiency in spoken and written English.

There are endless learning and development opportunities from a highly diverse and talented peer group, including experts in various fields, including Computer Vision, GenAI, Digital Twin, Government Contracting, Systems and Device Engineering, Operations, Communications, and more!

• Options for medical, dental, and vision coverage for employees and dependents (for US employees)

• Flexible Spending Account (FSA) and Dependent Care Flexible Spending Account (DCFSA)

• 401(k) with 3% company matching

• Unlimited PTO

• Profit sharing

Please do not forward resumes to our jobs alias, EchoTwin AI employees, or any other company location. EchoTwin AI is not responsible for any fees related to unsolicited resumes.

EchoTwin AI is the intelligence layer powering self-healing cities—urban systems that not only detect issues in real time, but also trigger automated corrective actions or surface prioritized insights through agentic workflows. This represents a fundamental shift from reactive governance to proactive, adaptive urban management. The result? Cleaner, safer, smarter cities that manage themselves.

Our platform combines artificial intelligence, digital twins, and spatial analytics to help municipalities and infrastructure operators monitor assets, enforce compliance, and optimize urban operations. By integrating edge-based visual intelligence with real-time data and geospatial reasoning, EchoTwin AI delivers continuous oversight and faster, more intelligent responses to complex urban challenges.

With deployments across North America and the Middle East—including flagship projects in New York City, Abu Dhabi, and Riyadh—we partner with forward-thinking governments and innovators to build resilient, adaptive infrastructure for the cities of tomorrow.

• Collaborate with cross-functional teams, including the product manager, software developers, and domain experts.

• Research and experiment with state-of-the-art tools and techniques in Machine Learning.

• Document processes, pipelines, and model performance thoroughly.

• Train and deploy machine learning models for object detection and classification in images and videos.

• Preprocess and annotate image and video datasets for training purposes.

• ·Optimize deep learning models for efficiency and scalability in production.

• ·Design and implement predictive models to analyze trends, patterns, and anomalies.

• Develop data pipelines with data engineers to handle large-scale structured and unstructured datasets.

• Apply statistical and machine learning techniques to forecast outcomes and support decision-making.

• Master’s or Bachelor's degree in Computer Science, Mathematics, IT, or a related field.

• 5+ years of experience as a Computer Vision Engineer.

• 10+ years in software development and machine learning.

• Strong knowledge of machine learning concepts and algorithms.

• Proficiency in Python, C++, and ML libraries like TensorFlow or PyTorch.

• Solid understanding of data preprocessing, feature engineering, and model evaluation techniques.

• Experience in computer vision, particularly object detection and image processing techniques (e.g., YOLO).

• Familiarity with predictive analytics tools.

• Knowledge of cloud platforms (AWS) for deploying and managing machine learning models.

• Experience with MLOps practices.

• Proficiency in spoken and written English.

There are endless learning and development opportunities from a highly diverse and talented peer group, including experts in various fields, including Computer Vision, GenAI, Digital Twin, Government Contracting, Systems and Device Engineering, Operations, Communications, and more!

• Options for medical, dental, and vision coverage for employees and dependents (for US employees)

• Flexible Spending Account (FSA) and Dependent Care Flexible Spending Account (DCFSA)

• 401(k) with 3% company matching

• Unlimited PTO

• Profit sharing

Please do not forward resumes to our jobs alias, EchoTwin AI employees, or any other company location. EchoTwin AI is not responsible for any fees related to unsolicited resumes.

About Us

EchoTwin AI is the intelligence layer powering self-healing cities—urban systems that not only detect issues in real time, but also trigger automated corrective actions or surface prioritized insights through agentic workflows. This represents a fundamental shift from reactive governance to proactive, adaptive urban management. The result? Cleaner, safer, smarter cities that manage themselves.

Our platform combines artificial intelligence, digital twins, and spatial analytics to help municipalities and infrastructure operators monitor assets, enforce compliance, and optimize urban operations. By integrating edge-based visual intelligence with real-time data and geospatial reasoning, EchoTwin AI delivers continuous oversight and faster, more intelligent responses to complex urban challenges.

With deployments across North America and the Middle East—including flagship projects in New York City, Abu Dhabi, and Riyadh—we partner with forward-thinking governments and innovators to build resilient, adaptive infrastructure for the cities of tomorrow.

Responsibilities

Collaborate with cross-functional teams, including the product manager, software developers, and domain experts.

Research and experiment with state-of-the-art tools and techniques in Machine Learning.

Document processes, pipelines, and model performance thoroughly.

Computer Vision

Train and deploy machine learning models for object detection and classification in images and videos.

Preprocess and annotate image and video datasets for training purposes.

• Optimize deep learning models for efficiency and scalability in production.

Predictive Analytics

Develop data pipelines with data engineers to handle large-scale structured and unstructured datasets.

Apply statistical and machine learning techniques to forecast outcomes and support decision-making.

Experience

Master’s or Bachelor's degree in Computer Science, Mathematics, IT, or a related field.

5+ years of experience as a Computer Vision Engineer.

10+ years in software development and machine learning.

Strong knowledge of machine learning concepts and algorithms.

Proficiency in Python, C++, and ML libraries like TensorFlow or PyTorch.

Solid understanding of data preprocessing, feature engineering, and model evaluation techniques.

Experience in computer vision, particularly object detection and image processing techniques (e.g., YOLO).

Familiarity with predictive analytics tools.

Knowledge of cloud platforms (AWS) for deploying and managing machine learning models.

Experience with MLOps practices.

Proficiency in spoken and written English.

Benefits and Perks

There are endless learning and development opportunities from a highly diverse and talented peer group, including experts in various fields, including Computer Vision, GenAI, Digital Twin, Government Contracting, Systems and Device Engineering, Operations, Communications, and more!

Options for medical, dental, and vision coverage for employees and dependents (for US employees)

Flexible Spending Account (FSA) and Dependent Care Flexible Spending Account (DCFSA)

401(k) with 3% company matching

Unlimited PTO

Profit sharing

Please do not forward resumes to our jobs alias, EchoTwin AI employees, or any other company location. EchoTwin AI is not responsible for any fees related to unsolicited resumes.

J-18808-Ljbffr

Bachelor of Business Administration (Management)

Nationality: Any Nationality

Vacancy: 1 Vacancy

Are you passionate about leveraging cutting-edge AI and machine learning technologies to transform industries? EPAM is seeking a skilled Machine Learning Engineer to join a transformative healthcare project in Abu Dhabi.

This role focuses on delivering impactful AI-driven solutions by designing and implementing machine learning models that address healthcare-specific challenges.

As part of this initiative, you will work with large-scale healthcare datasets, optimize operational efficiency, and improve patient outcomes through personalized care and automation. This is an opportunity to make a meaningful impact while working at the forefront of digital innovation in healthcare.

• Develop and deploy machine learning models and AI-driven solutions tailored to healthcare needs.
• Analyze large, complex healthcare datasets to identify actionable insights and opportunities for improvement.
• Perform data preprocessing, feature engineering, and model validation to ensure high standards of solution quality.
• Collaborate with multidisciplinary teams to ensure seamless execution and delivery of AI use cases.

• 3-7+ years of experience in data science, preferably in healthcare or life sciences domains.
• Advanced knowledge of machine learning techniques, including NLP, Deep Learning, and Computer Vision.
• Strong programming skills in Python, SQL, Spark, with hands-on experience using TensorFlow, PyTorch, Spark MLlib, MLFlow, LangChain, or LlamaIndex.
• Experience in building and scaling MLOps and LLMOps architectures.
• Proficiency with developer tools such as Azure DevOps, PyCharm/MS Visual Studio, Docker, and related frameworks.
• Familiarity with Databricks and cloud platforms, preferably Azure.
• Expertise in healthcare datasets, data pipelines, and regulatory requirements.
• Understanding of healthcare industry challenges and AI applications in patient care and life sciences.
• The role requires working from the office in Abu Dhabi, UAE.

Role Level: Mid-Level

Work Type: Full-Time

Country: United Arab Emirates

City: Abu Dhabi

• Industry: Recruitment, Placement Firm, Executive Search

• Machine Learning Engineer

Disclaimer: Naukrigulf.com is a platform to connect jobseekers and employers. Please verify the legitimacy of the employer independently. We do not endorse any requests for money and advise against sharing personal or bank details. For security advice, visit our website. For suspected fraud, email

About Us

EchoTwin AI is the intelligence layer powering self-healing cities—urban systems that not only detect issues in real time, but also trigger automated corrective actions or surface prioritized insights through agentic workflows. This represents a fundamental shift from reactive governance to proactive, adaptive urban management. The result? Cleaner, safer, smarter cities that manage themselves.

Our platform combines artificial intelligence, digital twins, and spatial analytics to help municipalities and infrastructure operators monitor assets, enforce compliance, and optimize urban operations. By integrating edge-based visual intelligence with real-time data and geospatial reasoning, EchoTwin AI delivers continuous oversight and faster, more intelligent responses to complex urban challenges.

With deployments across North America and the Middle East—including flagship projects in New York City, Abu Dhabi, and Riyadh—we partner with forward-thinking governments and innovators to build resilient, adaptive infrastructure for the cities of tomorrow.

Responsibilities

Collaborate with cross-functional teams, including the product manager, software developers, and domain experts.

Research and experiment with state-of-the-art tools and techniques in Machine Learning.

Document processes, pipelines, and model performance thoroughly.

Computer Vision

Train and deploy machine learning models for object detection and classification in images and videos.

Preprocess and annotate image and video datasets for training purposes.

• Optimize deep learning models for efficiency and scalability in production.

Predictive Analytics

Develop data pipelines with data engineers to handle large-scale structured and unstructured datasets.

Apply statistical and machine learning techniques to forecast outcomes and support decision-making.

Experience

Master's or Bachelor's degree in Computer Science, Mathematics, IT, or a related field.

5+ years of experience as a Computer Vision Engineer.

10+ years in software development and machine learning.

Strong knowledge of machine learning concepts and algorithms.

Proficiency in Python, C++, and ML libraries like TensorFlow or PyTorch.

Solid understanding of data preprocessing, feature engineering, and model evaluation techniques.

Experience in computer vision, particularly object detection and image processing techniques (e.g., YOLO).

Familiarity with predictive analytics tools.

Knowledge of cloud platforms (AWS) for deploying and managing machine learning models.

Experience with MLOps practices.

Proficiency in spoken and written English.

Benefits and Perks

There are endless learning and development opportunities from a highly diverse and talented peer group, including experts in various fields, including Computer Vision, GenAI, Digital Twin, Government Contracting, Systems and Device Engineering, Operations, Communications, and more

Options for medical, dental, and vision coverage for employees and dependents (for US employees)

Flexible Spending Account (FSA) and Dependent Care Flexible Spending Account (DCFSA)

401(k) with 3% company matching

Unlimited PTO

Profit sharing

Please do not forward resumes to our jobs alias, EchoTwin AI employees, or any other company location. EchoTwin AI is not responsible for any fees related to unsolicited resumes.

J-18808-Ljbffr

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Direct message the job poster from Fox Talent

Our client are a rapidly growing technology house who are building state of the art AI platforms. They are looking to hire a Machine Learning Engineer to work onsite in Dubai who can help take their elite team to the next level.

The ideal candidate will have experience deploying machine learning models across a number of environments and working effectively with cross-functional teams. A strong technical background working with Python frameworks and knowledge of DevOps practices is required, along with a rich history of working on NLP and and AI models.

There is huge opportunity for career progression, training and exposure to the most cutting edge technology in the industry with excellent operational infrastructure.

The role offers a very competitive salary and excellent long term career growth.

If you are interested in applying please get in touch

Requirements:

• Experience developing AI models and deep knowledge of NLP
• Strong technical background with experience in Python
• Familiarity with DevOps frameworks
• Proven track record building world class AI platforms

• Seniority level Mid-Senior level

• Employment type Full-time

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

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