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agentic ai data scientist

machine learning scientist

ICARDA

Reports to: Research Team Leader - Soils, Waters and Agronomy
 Location: Abu Dhabi, UAE
 
Main purpose of the position
 ICARDA is working towards developing a climate-resilient and digitally advanced agrifood sector for the global drylands. Its areas of focus encompass agronomy, climate, crop improvement, socioeconomics, small ruminants, soil, and water challenges, employing methods such as situ observations, experiments, process modeling, stakeholder engagement, and a suite of digital initiatives under CGIAR. This position is ideal for a Data Scientist with expertise in Predictive or Generative AI, Machine Learning, Applied Statistics, or Systems Modeling. This position is designed to work in close coordination with the GeoAgro Research Team, complementing its leadership in climate change science, geospatial analysis, and digital agriculture innovation. As ICARDA advances integrated AI solutions that draw on geospatial analytics, machine learning, crop and soil modeling, and diverse data streams, this role ensures strong collaboration across research teams—particularly with GeoAgro, which leads ICARDA’s Cross-Cutting Research Theme on Climate-Smart Predictive Agriculture.
 The Data Scientist will be embedded within ICARDA’s institutional structure and will actively collaborate with biophysical modelers, geospatial scientists, climatologists, and other domain experts to co-develop data science–driven international public goods. This alignment fosters synergy, avoids duplication, and reinforces ICARDA’s capacity to deliver scalable, cross-program innovations for dryland resilience.
 
About ICARDA: 
The International Center for Agricultural Research in the Dry Areas (ICARDA) is a treaty-based international non-profit research organization supported by CGIAR.
 ICARDA’s mission is to reduce poverty, enhance food, water, and nutritional security, as well as environmental health in the face of global challenges including climate change. We do this through innovative science, strategic partnerships, linking research to development, and capacity development that takes into account gender equality and the role of youth in transforming the dry areas. ICARDA works in partnership with governments, universities, civil society, national agricultural research organizations, other CGIAR Research Centers, and the private sector. With its temporary Headquarters in Beirut, Lebanon, ICARDA operates in regional and country offices across Africa, Asia, and the Middle East. For more information: www.icarda.org.
 
Main responsibilities: 
<ul>
<li>Work across various ICARDA programs with a cohort of datasets: geospatial, biophysical, climatic, genomic and socioeconomic datasets to improve predictive capabilities of various agrifood system processes (from gene to regional scales).</li>
<li>Develop Predictive AI solutions (machine learning, ANN, big data-based forecasting) and use generative AI applications to accelerate resilience in agriculture in the non-tropical drylands where ICARDA operates.</li>
<li>Example works include, but not limited to, mapping crop yield gaps, crop-water relations, soil salinity, climate risks, crop and livestock disease outbreaks, pest infestations, crop ideotype design, analyzing HTP phenotypic data, mapping soil carbon, and socioeconomic processes etc. Utilize geospatial analysis and remote sensing to assess dynamics of land use, crop conditions, and natural resources in irrigated, rainfed, deserts and rangelands, TPE analytics to help crop improvement etc.</li>
<li>Take leadership in cloud-based Data/AI workflows using AWS, Azure, or GCP along with the necessary cyber security protocols.</li>
<li>Provide thought leadership and advocacy for the application of different Large Language Models (LLMs) and GPTs for agricultural applications, such as text analysis of agricultural reports and farmer interviews. Provide supervision and oversight to test the efficacy of the LLMs/GPTs developed in CGIAR and bilateral initiatives for e-extension service platforms and other tools.</li>
<li>Engage in science-policy dialogues on digital actions with the key stakeholders at national and sub-national levels and liaise with key partners and play an active role in resource mobilization of the digital and data-driven research program at ICARDA.</li>
<li>Develop user-friendly applications and dashboards to visualize and communicate data insights to stakeholders in collaboration with developers and the software industry. These applications can be in across the ICARDA programs.</li>
<li>Be the focal point for ICARDA to identify, collect, and curate relevant data from various ICARDA teams, external sources including government agencies, farmers, and remote sensing platforms complying with the CGIAR FAIR data (Findable, Accessible, Interoperable, Reusable) principles.</li>
<li>Explore the use of IoT devices and sensors for data collection and real-time monitoring of agricultural and hydrometeorological variables and archive it to centralized databases located within ICARDA IT platforms.</li>
<li>Lead and support concept note and proposal development to strengthen ICARDA’s resource mobilization efforts, while advancing a vibrant Digital and Data Science portfolio through collaborative project design and strategic partnerships.Stay updated on the latest advancements in the field and explore their potential applications in the nontropical dryland regions and liaise with key partners and stakeholders. Publish research findings in peer-reviewed journals and conferences.</li>
<li>Strengthen institutional capacity in data science and AI through training, mentoring junior staff, embedding reproducible workflows, and promoting standardized practices across projects.</li>
</ul>
Requirements: 
Education, qualifications, and experience
 
Essential qualifications and competencies:: 
<ul>
<li>Ph.D. in a field closely related to agriculture with strong quantitative skills (such as Data Science, Machine Learning, Computer Science, Applied Statistics, Agriculture, Biological Science, or Earth Science), or a related discipline.</li>
<li>A minimum of 10 years of experience for Scientist level or 10 years for Senior Scientist level is required.</li>
<li>Candidates with a Master’s degree in the above-mentioned fields should have at least 12 years of relevant experience deploying AI and data solutions in real-world projects and industries.</li>
<li>Experience in leading teams on topics like Artificial Neural Networks (ANN), machine learning-based data analysis, and process modeling, geospatial analysis, and remote sensing is essential.</li>
<li>Familiarity with related software, including ArcGIS, QGIS, Google Earth Engine (GEE), and GDAL, is advantageous.</li>
<li>Proficiency in cloud computing platforms such as Google Colab, AWS, Azure, and GCP is desirable, along with knowledge of database management systems (e.g., SQL, PostgreSQL, NoSQL).</li>
<li>Demonstrated ability to lead data science projects and teams effectively.</li>
<li>Excellent communication and interpersonal skills are essential for engaging and collaborating with diverse stakeholders.</li>
<li>Proficiency in facilitating science-policy dialogues and advocating for digital transformation in public forums is frequently required.</li>
<li>Capable of working both independently and collaboratively within a team setting.</li>
<li>Previous experience in agricultural research or related fields.</li>
<li>Knowledge of the agricultural context in the dryland regions.</li>
<li>Experience with leading ICT4D and data-centric projects.</li>
<li>Track record of publications in relevant scientific journals and web-based repositories such as GitHub.</li>
</ul>
Desirable skills:: 
<ul>
<li>Strong programming skills in languages such as Python, R, and JavaScript to develop and implement</li>
</ul>
AI and ML solutions.
 
Benefits: 
Terms of appointment, salary, and benefits: 
This is an internationally recruited staff position for which ICARDA offers an attractive compensation package including a competitive salary, medical insurance, 30 days of annual leave, five months’ maternity leave, 15 days’ paternity leave. The successful candidate will be offered an initial contract of 3 years, renewable subject to continued need for the position, availability of funds and satisfactory performance. The first year will be probationary period.
 
ICARDA accepts applications only in English which is the organization’s official communication language. Applications in other languages will not be considered.
 Only shortlisted applications will be contacted.

Readvertisement - Data Scientist (Scientist/Senior Scientist)

Inception

<div>
 
 Overview
 
 
 
 Inception is seeking a highly proficient and accomplished Applied Scientist, with a proven track record, to develop efficient deep-learning and generative AI algorithms and conceive innovative AI-centric models. This role offers a unique opportunity to work closely with our product development teams, applying emerging technologies across a diverse range of applications.
 
 
 The opportunity
 
 
 Join a fast-paced, future-driven company and become part of a dynamic, forward-thinking team with the most extensive AI service repository and a mission to establish itself as the premier AI Platform-as-a-Service for businesses and developers alike.
 
 
 Inception is the UAE&rsquo;s national-scale enabler in AI Research and Development. Partnering with Microsoft's AI SaaS, we offer domain-specific Agentic AI Orchestrator platforms utilizing reasoning agents for precise and cost-effective services. Our focus includes AI incubation, IP creation, applied AI R&amp;D, and AI investment products. By creating models tailored to specific domains and languages, we ensure superior accuracy and efficiency. Collaborating with top universities and industry giants to drive significant advancements in AI technology within the region.
 
 
 
 Responsibilities
 
 
 
 Your key responsibilities
 
 
 In the Applied Scientist role you will play a crucial part in pioneering research and development across various facets of AI, including but not limited to computer vision, natural language processing, and audio signal processing. Your work will involve the creation and optimization of cutting-edge AI algorithms and deep learning models, contributing to advancements in areas such as semantic understanding, multidimensional data interpretation, and human-machine interactions. Furthermore, your innovative efforts will be applied to a spectrum of practical use cases, serving pivotal industries such as finance, oil and gas, environmental science, and healthcare, thereby driving forward the frontier of impactful AI solutions in real-world scenarios.
 
 
 <ul>
 <li>
 Engage in the design, analysis and optimization of foundational and applied research to power the state-of-the-art AI algorithms and model capabilities at Inception. This will involve staying well-informed of emerging trends, understanding and manipulating complex datasets, and conceptualizing models that are both innovative and applicable to real-world scenarios.
 </li>
 <li>
 Work on comprehensive solutions that integrate various modalities, including text, audio, and visual data, enhancing the AI's ability to understand and interpret human interaction in a more nuanced manner.
 </li>
 <li>
 Collaborate with researchers and engineers across teams at Inception for the design, development, and continual improvement of AI algorithms, ensuring the implementations of such algorithms are optimized for efficiency, reliability, and scalability.
 </li>
 <li>
 Work alongside product development teams to integrate new algorithms and models into broader product offerings, and conduct proofs of concept (POC) as per client needs, ensuring that these innovations translate into tangible benefits for users and stakeholders.
 </li>
 <li>
 Propose scenarios where AI techniques could improve the efficiency of the customer&rsquo;s business.
 </li>
 <li>
 Provide pre-sales and post-sales technical support to the business development team.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 Skills and attributes for success
 
 
 The criteria for your success would include cost savings achieved, number of use cases investigated &amp; datasets mined, number of innovations/POCs deployed, number of existing processes optimized, and customer NPS.
 
 
 To qualify, you must have
 
 
 <ul>
 <li>
 M.Sc. or Ph.D. degree in computer science, engineering, or AI-related field. Specialization in Computer Vision, Natural Language Processing or Speech and Audio are highly desirable.
 </li>
 <li>
 Minimum 6 years of experience in developing AI algorithms for various modalities
 </li>
 <li>
 Track record of conducting high-level research, preferably evidenced by publications in peer-reviewed journals or a history of product-driven research and development.
 
 
 </li>
 </ul>
 Ideally, you&rsquo;ll also need
 
 
 <ul>
 <li>
 A highly curious and inquisitive approach to problem-solving
 </li>
 <li>
 In-depth knowledge of the latest developments in AI and machine learning
 </li>
 <li>
 Excellent communication skills
 
 
 </li>
 </ul>
 What we look for
 
 
 If you are a performance-driven, inquisitive mind with the agility to adapt to ambiguity, you will fit right in. You should be eager to explore opportunities to build meaningful collaborations with stakeholders and aspire to create unique customer-centric solutions. Bias for action and a passion to conquer new frontiers in the AI space is at the heart of the Inception community.
 
 
 What working at Inception offers
 
 
 Culture: An open, diverse and inclusive environment with a global vision that encourages personal growth and focuses on ground-breaking, industry-first innovations.
 
 
 Career: Outstanding learning, development &amp; growth opportunities via structured training programs and innovative, high-tech projects.
 
 
 Work-Life: A hybrid work policy to strike the perfect balance between office and home.
 
 
 Rewards: A competitive remuneration package with a host of perks including healthcare, education support, leave benefits and more.
 
 
 If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.
</div>

Applied Scientist

<div>
 
 Overview
 
 
 
 Inception is seeking a highly proficient and accomplished Sr. Applied Scientist, with a proven track record, to develop efficient deep-learning and generative AI algorithms and conceive innovative AI-centric models. This role offers a unique opportunity to work closely with our product development teams, applying emerging technologies across a diverse range of applications.
 
 
 The opportunity
 
 
 Join a fast-paced, future-driven company and become part of a dynamic, forward-thinking team with the most extensive AI service repository and a mission to establish itself as the premier AI Platform-as-a-Service for businesses and developers alike.
 
 
 Inception is the UAE&rsquo;s national-scale enabler in AI Research and Development. Partnering with Microsoft's AI SaaS, we offer domain-specific Agentic AI Orchestrator platforms utilizing reasoning agents for precise and cost-effective services. Our focus includes AI incubation, IP creation, applied AI R&amp;D, and AI investment products. By creating models tailored to specific domains and languages, we ensure superior accuracy and efficiency. Collaborating with top universities and industry giants to drive significant advancements in AI technology within the region.
 
 
 
 Responsibilities
 
 
 
 Your key responsibilities
 
 
 In the Sr. Applied Scientist role you will play a crucial part in pioneering research and development across various facets of AI, including but not limited to computer vision, natural language processing, and audio signal processing. Your work will involve the creation and optimization of cutting-edge AI algorithms and deep learning models, contributing to advancements in areas such as semantic understanding, multidimensional data interpretation, and human-machine interactions. Furthermore, your innovative efforts will be applied to a spectrum of practical use cases, serving pivotal industries such as finance, oil and gas, environmental science, and healthcare, thereby driving forward the frontier of impactful AI solutions in real-world scenarios.
 
 
 <ul>
 <li>
 Engage in the design, analysis and optimization of foundational and applied research to power the state-of-the-art AI algorithms and model capabilities at Inception. This will involve staying well-informed of emerging trends, understanding and manipulating complex datasets, and conceptualizing models that are both innovative and applicable to real-world scenarios.
 </li>
 <li>
 Work on comprehensive solutions that integrate various modalities, including text, audio, and visual data, enhancing the AI's ability to understand and interpret human interaction in a more nuanced manner.
 </li>
 <li>
 Collaborate with researchers and engineers across teams at Inception for the design, development, and continual improvement of AI algorithms, ensuring the implementations of such algorithms are optimized for efficiency, reliability, and scalability.
 </li>
 <li>
 Work alongside product development teams to integrate new algorithms and models into broader product offerings, and conduct proofs of concept (POC) as per client needs, ensuring that these innovations translate into tangible benefits for users and stakeholders.
 </li>
 <li>
 Propose scenarios where AI techniques could improve the efficiency of the customer&rsquo;s business.
 </li>
 <li>
 Provide pre-sales and post-sales technical support to the business development team.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 Skills and attributes for success
 
 
 The criteria for your success would include cost savings achieved, number of use cases investigated &amp; datasets mined, number of innovations/POCs deployed, number of existing processes optimized, and customer NPS.
 
 
 To qualify, you must have
 
 
 <ul>
 <li>
 M.Sc. or Ph.D. degree in computer science, engineering, or AI-related field. Specialization in Computer Vision, Natural Language Processing or Speech and Audio are highly desirable.
 </li>
 <li>
 Minimum 8 years of experience in developing AI algorithms for various modalities
 </li>
 <li>
 Track record of conducting high-level research, preferably evidenced by publications in peer-reviewed journals or a history of product-driven research and development.
 
 
 </li>
 </ul>
 Ideally, you&rsquo;ll also need
 
 
 <ul>
 <li>
 A highly curious and inquisitive approach to problem-solving
 </li>
 <li>
 In-depth knowledge of the latest developments in AI and machine learning
 </li>
 <li>
 Excellent communication skills
 
 
 </li>
 </ul>
 What we look for
 
 
 If you are a performance-driven, inquisitive mind with the agility to adapt to ambiguity, you will fit right in. You should be eager to explore opportunities to build meaningful collaborations with stakeholders and aspire to create unique customer-centric solutions. Bias for action and a passion to conquer new frontiers in the AI space is at the heart of the Inception community.
 
 
 What working at Inception offers
 
 
 Culture: An open, diverse and inclusive environment with a global vision that encourages personal growth and focuses on ground-breaking, industry-first innovations.
 
 
 Career: Outstanding learning, development &amp; growth opportunities via structured training programs and innovative, high-tech projects.
 
 
 Work-Life: A hybrid work policy to strike the perfect balance between office and home.
 
 
 Rewards: A competitive remuneration package with a host of perks including healthcare, education support, leave benefits and more.
 
 
 If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.
</div>

Senior Applied Scientist

<div>
 
 Overview
 
 
 
 Looking for a diligent and accomplished Principal Applied Scientist with a keen eye for detail to work directly with our engineering teams and carry G42&rsquo;s new age AI-driven products &amp; solutions from conceptualization, planning &amp; prototyping all the way to testing &amp; delivery.
 
 
 
 Responsibilities
 
 
 
 You will play a crucial part in pioneering research and development across various facets of AI, including but not limited to computer vision, natural language processing, and audio signal processing. Your work will involve the creation and optimization of cutting-edge AI algorithms and deep learning models, contributing to advancements in areas such as semantic understanding, multidimensional data interpretation, and human-machine interactions. Furthermore, your innovative efforts will be applied to a spectrum of practical use cases, serving pivotal industries such as finance, oil and gas, environmental science, and healthcare, thereby driving forward the frontier of impactful AI solutions in real-world scenarios.
 
 
 <ul>
 <li>
 Engage in the design, analysis and optimization of foundational and applied research to power the state-of-the-art AI algorithms and model capabilities at Core42. This will involve staying well-informed of emerging trends, understanding and manipulating complex datasets, and conceptualizing models that are both innovative and applicable to real-world scenarios.
 </li>
 <li>
 Work on comprehensive solutions that integrate various modalities, including text, audio, and visual data, enhancing the AI's ability to understand and interpret human interaction in a more nuanced manner.
 </li>
 <li>
 Collaborate with researchers and engineers across teams at Core42for the design, development, and continual improvement of AI algorithms, ensuring the implementations of such algorithms are optimized for efficiency, reliability, and scalability.
 </li>
 <li>
 Work alongside product development teams to integrate new algorithms and models into broader product offerings, and conduct proofs of concept (POC) as per client needs, ensuring that these innovations translate into tangible benefits for users and stakeholders.
 </li>
 <li>
 Propose scenarios where AI techniques could improve the efficiency of the customer&rsquo;s business.
 </li>
 <li>
 Provide pre-sales and post-sales technical support to the business development team.
 
 
 </li>
 </ul>
 Skills and attributes for success
 
 
 The criteria for your success would include cost savings achieved, number of use cases investigated &amp; datasets mined, number of innovations/POCs deployed, number of existing processes optimized, and customer NPS.
 
 
 
 Qualifications
 
 
 
 To qualify, you must have
 
 
 <ul>
 <li>
 M.Sc. or Ph.D. degree in computer science, engineering, or AI-related field. Specialization in Computer Vision, Natural Language Processing or Speech and Audio are highly desirable.
 </li>
 <li>
 Minimum 10 years of experience in developing AI algorithms for various modalities.
 </li>
 <li>
 Track record of conducting high-level research, preferably evidenced by publications in peer-reviewed journals or a history of product-driven research and development.
 
 
 </li>
 </ul>
 Ideally, you&rsquo;ll also need
 
 
 <ul>
 <li>
 A highly curious and inquisitive approach to problem-solving
 </li>
 <li>
 In-depth knowledge of the latest developments in AI and machine learning
 </li>
 <li>
 Excellent communication skills
 
 
 </li>
 </ul>
 What we look for
 
 
 If you are a performance-driven, inquisitive mind with the agility to adapt to ambiguity, you will fit right in. You should be eager to explore opportunities to build meaningful collaborations with stakeholders and aspire to create unique customer-centric solutions. Bias for action and a passion to conquer new frontiers in the AI space is at the heart of the Inception community.
</div>

Principal Applied Scientist

Presight AI Ltd.

A leading AI data analytics firm is seeking a qualified Data Scientist to develop AI-powered solutions for public safety. The role focuses on LLMs and conversational AI frameworks. Responsibilities include building autonomous AI solutions and collaborating with data scientists and engineers. Candidates should have a degree in a relevant field, along with practical experience in AI and strong programming skills, particularly in Python.

AI Data Scientist - Agentic LLMs for Public Safety

Quantum One | Q One

<div>
 
 
 
 About Us
 
 
 
 
 
 Quantum One
 
 is a leading AI solutions provider in UAE. Our firm was founded by a group of professionals from McKinsey &amp; Company and BCG. We focus on integrating advanced AI capabilities with strategic business insight to deliver measurable impact across various sectors.
 
 
 We&rsquo;re looking for a highly skilled and motivated
 
 Data Scientist
 
 to join our Abu Dhabi team. This role offers the opportunity to work on mission-critical projects with the UAE's largest organizations, supported by relocation assistance.
 
 
 
 
 
 
 
 Our Offer &amp; Your Growth
 
 
 
 
 We are committed to investing in our talent. Quantum One provides a competitive compensation package and clear career progression paths with opportunities for rapid advancement.
 
 
 
 
 
 
 
 Core Responsibilities
 
 
 
 
 As a Data Scientist, you will be instrumental in the execution and delivery in key areas:
 
 <ul>
 <li>
 Strategic Implementation: Apply Machine Learning and Operations Research methodologies to solve complex problems for major UAE companies across diverse industries.
 </li>
 <li>
 Product Development: Design, develop, and deploy standalone AI products and enterprise solutions from initial concept through to production.
 </li>
 <li>
 Technical Excellence: Ensure the robust and scalable implementation of all AI models and systems.
 </li>
 </ul>
 
 
 
 
 
 
 Required Qualifications
 
 
 
 
 We are looking for a candidate who meets the following criteria and is prepared to excel in a high-performance environment.
 
 
 
 
 <ul>
 <li>
 
 Experience:
 
 A minimum of 5 years of professional experience in a Data Scientist or similar quantitative role.
 </li>
 <li>
 
 Language Proficiency:
 
 Fluent English is mandatory for effective communication with our international team and clientele.
 </li>
 <li>
 
 Technical Foundation:
 
 Demonstrated expertise across the following core stack: Python, Git, Docker/Kubernetes, Postgres (or similar RDBMS/NoSQL), and experience with at least one major Cloud Platform (Azure, AWS, or GCP).
 </li>
 </ul>
 
 
 
 
 
 Machine Learning Expertise:
 
 
 <ul>
 <li>
 Data Analysis &amp; Modeling: Pandas, NumPy, scikit-learn, and advanced boosting techniques (CatBoost, LightGBM).
 </li>
 <li>
 Model Interpretation: Experience utilizing tools like SHAP for model explainability.
 </li>
 <li>
 Visualization: Proficient use of libraries such as Matplotlib and Seaborn.
 </li>
 </ul>
 
 
 
 
 
 Advanced AI Systems (Highly Valued):
 
 
 
 Practical experience with Large Language Models (LLM) and Retrieval-Augmented Generation (RAG) frameworks, including:
 
 <ul>
 <li>
 Frameworks: LangChain.
 </li>
 <li>
 Models &amp; Ecosystems: Working knowledge of models like Llama and Qwen, and utilizing the Hugging Face and OpenAI/ChatGPT ecosystems.
 </li>
 </ul>
 
 
</div>

Lead Data Scientist

Explore 352+ Machine learning scientist in Abu Dhabi this December. Find roles across top companies and apply now to boost your career.

352 machine learning scientist jobs IN Abu Dhabi

Readvertisement - Data Scientist (Scientist/Senior Scientist)

Applied Scientist

Applied Scientist

Senior Applied Scientist

Principal Applied Scientist

AI Data Scientist - Agentic LLMs for Public Safety

Lead Data Scientist