86 Deep Learning jobs in the United Arab Emirates

Join to apply for the Data Science Lead – Artificial Intelligence role at Dicetek LLC

• Lead AI-driven projects, overseeing the development and deployment of advanced machine learning models and algorithms.
• Collaborate with cross-functional teams to integrate AI solutions into business processes.
• Research and implement cutting-edge AI techniques, including deep learning, NLP, and generative models.
• Mentor junior team members and promote best practices in AI development.

• Master's degree or higher in Data Science, Computer Science, Statistics, or a related field; PhD preferred.
• Experience in Generative AI, Machine Learning, or NLP, especially in academic or financial sectors.
• Proven research record with publications and significant project contributions involving AI technologies.

• Expertise in machine learning, deep learning (CNNs, RNNs, GANs), and transformer models for NLP.
• Experience with algorithms like RAG, LoRA, and ensemble methods; optimizing for performance and scalability.
• Strong knowledge of data architecture, data pipelines, and cloud deployment (AWS, Azure, GCP).
• Proficiency in NLP libraries such as NLTK, spaCy, Hugging Face Transformers.

• Seniority level: Not Applicable
• Employment type: Contract
• Job function: Engineering and IT
• Industries: IT Services and Consulting

This job posting is active and not expired.

Join the Roads and Transport Authority (RTA) to lead transformative AI strategies that shape the future of smart mobility and data-driven governance in Dubai. We’re looking for a dynamic Chief Specialist to drive cutting-edge AI research, project implementation, and cross-agency innovation.

Key Responsibilities:

• Implement and manage the AI Strategy aligned with RTA’s Digital Vision
• Lead design, testing, and deployment of AI solutions including machine learning, NLP, computer vision, and robotics
• Develop the AI roadmap, methodology, policies, and standards across departments
• Drive AI proof-of-concept development, tendering, vendor management, and project delivery
• Foster a culture of AI innovation, experimentation, and capability building across RTA
• Conduct global AI research, evaluate tech trends, and optimize executed use cases
• Identify and prioritize AI projects across agencies based on organizational needs and impact
• Build and mentor a high-performing AI engineering team focused on continuous learning

Qualifications & Skills:

• Bachelor’s degree in IT, Computer Science, Computer Engineering, or equivalent
• Minimum 11 years of proven experience leading successful AI projects
• Expertise in machine learning, deep learning, reinforcement learning, generative AI, and neural networks
• Proficiency in Python, Java, Scala, C++, or R
• Hands-on with frameworks like TensorFlow, Keras, Scikit-learn, Caffe, etc.
• Experience with structured & unstructured data, KPI development, and agile/scrum methodologies

Be part of Dubai’s transformation into a world-class smart city

• Mid-Senior level

• Full-time

• Information Technology

• Government Administration

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Job Description

Data Science Intern (2 positions available)

Duration: July 2025 - January 2026 (Dubai)

Our company will kick start your career journey within the Pharmaceutical industry. We will empower you to Invent for Life. You will be part of a diverse and inclusive multiskilled team of highly motivated individuals. We keep the patient at the very heart of all that we do and strive to find solutions and treatments for some of the world's most challenging healthcare needs.

Benefits for Interns

• Gain hands-on experience within the pharmaceutical industry
• Grow your potential and be part of a diverse team
• Work within a challenging and dynamic environment
• Develop strong analytical and problem-solving skills

Your Responsibilities

• Support the development and coding of advanced models and use cases in the Data team within the Commercial Operations department to deliver actionable insights to the business

Your Profile

• Fluent in English
• Expected graduation in 2026 or later
• Available to work 30-40 hours per week
• Educational background in Tech and Computer Science preferred
• Proficiency in Python programming; experience with Data Analytics tools like Dataiku is a plus
• Strong analytical mindset, organized, proactive, striving for excellence, self-driven with efficient reporting skills

What We Offer

• Monthly stipend
• Buddy and mentor support
• Learning opportunities

Current Employees: Apply HERE

Current Contingent Workers: Apply HERE

Important Notice for Search Firm Representatives

Merck & Co. Inc. and Merck Sharp & Dohme LLC do not accept unsolicited assistance from search firms. All CVs/resumes submitted without a valid written agreement will be deemed property of our company. No fee will be paid unless a formal agreement is in place. Please no phone calls or emails.

Additional Details

• Employee Status: Intern/Coop (Fixed Term)
• Relocation: Not applicable
• VISA Sponsorship: Not specified
• Travel Requirements: Not specified
• Flexible Work Arrangements: Not applicable
• Shift: Not specified
• Valid Driving License: Not specified
• Hazardous Materials: Not specified
• Job Posting End Date: 05/14/2025

*Applications should be submitted before 11:59 PM on the day prior to the end date listed above.

Required Experience: Intern

Our team is a global quantitative and systematic investment group, operating in all liquid asset classes across the world. We implement a technology and data-driven approach to investing, combining data, research, technology, and trading expertise to solve complex challenges.

The Role:

• You will be working within a trading desk building analysis tools and infrastructure used by the desk to aid investment decisions, directly impacting the desk's success.
• Placing you as a key member of a Quant Dev team working closely with Quant Researchers and Quant Traders.
• A role with the potential to touch many aspects of Event Driven trading, utilizing index data, M&A data, risk models, and other event-driven data from various sources.
• Opportunities to solve hard technical challenges critical to the desk's success.

Excellent knowledge and experience using latest Python libraries: numpy, pandas, polars, dask, etc.
Good knowledge of SQL and relational databases
Good understanding of what is happening behind the abstractions - be it CPU, memory, OS, network, etc.
Ability, and willingness to take full ownership of the work - taking projects all the way from an idea to a delivered solution
Good communication skills in a dynamic environment
0-2+ years of experience in a quantitative trading environment desirable
Knowledge of financial markets trading is a plus

They welcome applications from candidates who are wishing to relocate.

We carefully review all applications due to the high volume of applications received.

We are seeking a skilled Data Science Leader to spearhead our AI and data initiatives.

This position involves working closely with cross-functional teams to develop and maintain robust data solutions that drive business growth.

• Data Management & Governance:
• Develop and implement scalable data management processes for handling large datasets using cloud platforms (e.g., AWS).
• Ensure data quality, consistency, and accuracy through rigorous validation and cleansing processes.
• Data Analysis & Insights:
• Monitor and perform comprehensive data analysis to identify trends, patterns, and correlations within large datasets.
• Generate actionable insights and present findings to stakeholders through clear and concise visualizations.
• Predictive Modeling:
• Develop, test, and deploy predictive models with machine learning algorithms using frameworks such as TensorFlow, PyTorch, and Scikit-learn.
• Continuously monitor and refine models to improve performance and accuracy.
• Collaboration & Communication:
• Work closely with data engineers, AI engineers, and software developers to understand data requirements and provide technical support.
• Facilitate effective communication and collaboration within the data science team and other technical teams.
• Data Security & Compliance:
• Ensure the security and compliance of data handling and processing by implementing best practices and adhering to regulatory requirements.
• Conduct regular audits and assessments to identify and mitigate security risks.
• Professional Development:
• Stay updated with the latest industry trends and technologies related to data science and AI.

A software development company is looking for a talented, long-term Lead DS Researcher.

We’re looking for a Lead Data Science Researcher who thrives in research-heavy environments and enjoys exploring uncharted territory with the support of a strong technical team.

This is a unique opportunity to drive forward new ideas and applications, not just optimize existing ones.

About the company

Company Top Remote Talent

The company is a team of experts providing analytical services to healthcare clients. You will join an international team of first class professionals who are passionate to create products that improve quality of medical services.

Responsibilities

You will lead a compact team of two data scientists, guiding them on high-impact research initiatives and experimental projects. Your role will involve pushing the boundaries of applied machine learning — especially in the context of medical and clinical data — and turning complex problems into innovative solutions.

Requirements

**What we’re looking for:**Exceptional analytical and statistical skills-comfortable with uncertainty, inference, and experimentation;

Strong background in different areas of ML (traditional classification and regression techniques, recommender systems, text data, clustering, etc.);

Solid experience with deep learning frameworks like PyTorch or TensorFlow;

Excellent Python skills (beyond Jupyter Notebooks) - ability to build clean, testable, production-ready code;

Familiarity with medical or life science data is a strong plus;

Expertise in SQL, Pandas, Scikit-learn, and modern data workflows;

Comfortable working in Google Cloud Platform (GCP) environments.

**Bonus points for experience with:**State-of-the-art NLP models, Transformers, Agentic Approaches for mixed (temporal and text) data analysis and summarization;

Experience with pipeline orchestration tools like Airflow, Argo, etc.;

Proven Experience with Anomaly Detection and Forecasting with explainability for temporal and mixed data;

Intermediate+ English — ability to participate in written discussions with international teams and clients.

Working conditions

**Benefits:**Join a mission-driven team working at the intersection of data, medicine, and impact;

Work on meaningful challenges with long-term value for public health and healthcare quality;

Collaborate with top-tier experts in a culture that values curiosity, autonomy, and innovation;

Fully remote-friendly setup with flexibility and trust at the core.

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A software development company is looking for a talented, long-term Lead DS Researcher.

The company is a team of experts providing analytical services to healthcare clients. You will join an international team of first class professionals who are passionate to create products that improve quality of medical services.

We’re looking for a Lead Data Science Researcher who thrives in research-heavy environments and enjoys exploring uncharted territory with the support of a strong technical team. You will lead a compact team of two data scientists, guiding them on high-impact research initiatives and experimental projects. Your role will involve pushing the boundaries of applied machine learning — especially in the context of medical and clinical data — and turning complex problems into innovative solutions.

This is a unique opportunity to drive forward new ideas and applications, not just optimize existing ones.

What we’re looking for :

• Exceptional analytical and statistical skills-comfortable with uncertainty, inference, and experimentation;
• Strong background in different areas of ML (traditional classification and regression techniques, recommender systems, text data, clustering, etc.);
• Solid experience with deep learning frameworks like PyTorch or TensorFlow;
• Excellent Python skills (beyond Jupyter Notebooks) - ability to build clean, testable, production-ready code;
• Familiarity with medical or life science data is a strong plus;
• Expertise in SQL, Pandas, Scikit-learn, and modern data workflows;
• Comfortable working in Google Cloud Platform (GCP) environments.

Bonus points for experience with :

• State-of-the-art NLP models, Transformers, Agentic Approaches for mixed (temporal and text) data analysis and summarization;
• Experience with pipeline orchestration tools like Airflow, Argo, etc.;
• Proven Experience with Anomaly Detection and Forecasting with explainability for temporal and mixed data;
• Intermediate+ English — ability to participate in written discussions with international teams and clients.

Benefits :

• Join a mission-driven team working at the intersection of data, medicine, and impact;
• Work on meaningful challenges with long-term value for public health and healthcare quality;
• Collaborate with top-tier experts in a culture that values curiosity, autonomy, and innovation;
• Fully remote-friendly setup with flexibility and trust at the core.

Bachelor of Technology/Engineering, Bachelor of Science(Computers)

Nationality: Any Nationality

Vacancy: 1 Vacancy

Job Description

Role Summary

As a Senior Manager leading the Growth Data Science unit, you will play a pivotal role in leading and accelerating growth strategies across multiple dimensions, including marketing optimization and efficiency, growth product initiatives (e.g., churn reduction), ecosystem plays (e.g., subscription models and rewards), and ads revenue optimization. This leadership position will require close collaboration with product teams, senior marketing and partner growth leadership, ultimately driving data-driven decision-making and achieving transformative business growth.

You will collaborate closely with business leaders, and a dynamic team of data scientists and engineers. Your leadership will ensure the seamless integration of the data value chain from data collection and modeling to analysis, reporting, and experimentation ultimately empowering Talabat to achieve operational excellence and unparalleled customer satisfaction.

What’s On Your Plate?

Responsibilities:

• Lead the strategic vision for harnessing data to refine and enhance logistics operations. This involves identifying key opportunities for process optimization, cost reduction, and service quality improvements, ensuring that data science initiatives are perfectly aligned with Talabat’s broader business goals.
• Champion the adoption of a data-driven culture within logistics operations, emphasizing the importance of basing decisions on rigorous data analysis and actionable insights. This includes promoting the use of advanced analytics and data science methodologies across all levels of logistics operations.
• Build and maintain strong collaborative relationships with key stakeholders across product, business, and engineering teams. Ensure that data science projects are integrated with and supportive of overall business strategies, fostering a cohesive approach to achieving Talabat’s objectives.
• Guide, mentor, and develop a highly skilled team of data scientists and data analysts. Set clear performance goals, facilitate professional development opportunities, and foster a supportive and innovative work environment that attracts top talent.
• Spearhead innovative data science projects, including the application of predictive analytics, machine learning models, and optimization algorithms. Focus on projects that have the potential to significantly impact logistics efficiency and customer satisfaction.
• Ensure the development and maintenance of a robust and scalable data infrastructure that supports advanced analytics and data science activities. This includes advocating for best practices in data governance, quality control, and compliance with relevant data protection regulations.
• Oversee the generation of insightful analytical reports and dashboards that track key performance indicators (KPIs) and provide strategic insights to both the logistics team and senior management. Ensure that these insights are actionable and contribute to informed decision-making processes.

What Did We Order?

Technical Expertise:

• Proficient in the full data analysis lifecycle, including problem formulation, data auditing, rigorous analysis, interpretation, and presentation.
• Advanced skills in data analysis tools and programming languages such as Python, R, and SQL.
• Demonstrated expertise in data modeling, dimensional design, and the ability to understand and manipulate complex data structures.
• Strong background in experiment design and statistical analysis, capable of conducting and analyzing A/B and multivariate tests.
• Knowledge of Big Data technologies, preferably with experience in BigQuery and the Google Cloud Platform.
• Experience in data engineering and pipeline development, e.g., through tools like Airflow, is highly regarded.
• Familiarity with classical machine learning frameworks (e.g., Scikit-learn, XGBoost, LightGBM) is advantageous.

Qualifications:

• Bachelor's or Master's degree in Engineering, Computer Science, Technology, or related fields. An advanced degree is preferred.
• A minimum of 8+ years of experience in data science, with at least 3+ years in a leadership role managing data teams or operations.
• Proven leadership ability in managing diverse, high-performing teams and in developing and executing strategic plans to meet business objectives.
• Exceptional collaboration and communication skills, capable of guiding, influencing, and persuading a wide range of stakeholders.
• Demonstrated problem-solving skills with a growth mindset, able to tackle complex challenges and drive forward innovative solutions.
• A strong sense of ownership and accountability, coupled with a commitment to delivering high-quality results.