senior quantity surveyor

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software engineer

senior project manager

senior mechanical engineer

senior research scientist

Envision Employment Solutions

Envision Employment Solutions is currently hiring a Senior Data Scientist for one of our partners, a global leader in IT Services and IT Consulting.
 
Job Summary: 
We are seeking a highly experienced Senior Data Scientist to design, build, and deploy advanced machine learning and NLP solutions, including large language model applications. The ideal candidate has strong production experience, deep expertise in transformer-based architectures, and a proven ability to lead technical initiatives from research to deployment.
 
Responsibilities: 
Machine Learning & NLP Development
 <ul>
<li>Design and develop end-to-end machine learning models, with a strong focus on NLP applications</li>
<li>Fine-tune and deploy large language models such as GPT, BERT, and LLaMA for specific use cases</li>
<li>Build, train, and evaluate deep learning models using TensorFlow, PyTorch, or Keras</li>
<li>Implement Retrieval-Augmented Generation (RAG) and embedding-based semantic search solutions</li>
<li>Develop and optimize transformer-based models for summarization, Q&A, and document intelligence tasks</li>
<li>Evaluate and optimize prompt engineering strategies and context efficiency</li>
</ul>
Data Engineering & Pipelines
 <ul>
<li>Develop data pipelines using tools such as Airflow, Spark, or Dataiku</li>
<li>Perform data wrangling and preprocessing using pandas and NumPy</li>
<li>Design and manage feature stores</li>
<li>Integrate and manage vector databases such as Pinecone, FAISS, or Chroma</li>
</ul>
Model Deployment & Production
 <ul>
<li>Build and maintain RESTful APIs for serving ML models in production</li>
<li>Deploy scalable AI services and manage CI/CD pipelines</li>
<li>Monitor model performance, drift detection, and lifecycle management</li>
<li>Conduct A/B testing, ensemble blending, and apply explainability techniques such as SHAP and LIME</li>
</ul>
Statistical & Analytical Expertise
 <ul>
<li>Apply advanced statistics, probability theory, and experimental design</li>
<li>Conduct hypothesis testing and data-driven analysis to support business decisions</li>
</ul>
Collaboration & Integration
 <ul>
<li>Work closely with product and engineering teams to embed AI solutions into production systems</li>
<li>Collaborate with cross-functional stakeholders to deliver scalable AI capabilities</li>
</ul>
Requirements: 
Qualifications: 
<ul>
<li>Bachelor’s or Master’s degree in Data Science, Artificial Intelligence, Computer Science, or related field</li>
<li>Minimum 4 years of experience in machine learning and data science roles</li>
<li>Proven track record of delivering production-grade ML and NLP projects</li>
<li>Experience leading small data science teams or technical workstreams</li>
</ul>
Technical Requirements
 <ul>
<li>Strong programming skills in Python and R</li>
<li>Proficiency in ML libraries including Scikit-learn, pandas, and NumPy</li>
<li>Experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras</li>
<li>Hands-on experience with NLP libraries including NLTK, spaCy, TextBlob, and Hugging Face Transformers</li>
<li>Strong expertise in transformer architectures and LLM fine-tuning</li>
<li>Experience using LangChain or LlamaIndex for orchestration</li>
<li>Experience deploying ML models via RESTful APIs</li>
<li>Knowledge of model monitoring, explainability, and performance optimization</li>
</ul>
Leadership and Soft Skills
 <ul>
<li>Ability to lead small teams or project workstreams</li>
<li>Strong ownership mindset with focus on quality and delivery timelines</li>
<li>Ensures alignment of technical work with business KPIs</li>
<li>Coaches and mentors mid-level team members</li>
<li>Strong problem-solving and collaboration skills</li>
</ul>
Benefits: 
Benefits & Work Setup
 <ul>
<li>Basic salary</li>
<li>Family Medical Insurance</li>
<li>Round-trip family flight tickets once per year</li>
<li>Visa coverage</li>
<li>Location: Dubai</li>
<li>Work Model: Hybrid – 2 days in the office and 3 days remote. If assigned to a project, you may be required to work from the client’s premises on a daily basis, depending on the project requirements.</li>
<li>Working Hours: 9 AM to 6 PM</li>
<li>Days Off: Saturdays and Sundays</li>
</ul>

Senior Data Scientist

International Center for Biosaline Agriculture (ICBA)

<div>
 
 
 Job Summary
 
 
 
 To lead the development and implementation of innovative soil management strategies that enhance the productivity, resilience, and sustainability of salt-affected and arid lands. The role integrates advanced approaches to support ICBA&rsquo;s mission in biosaline agriculture, focusing on soil health, land suitability, and sustainable crop-soil-water interactions. The Senior Scientist will generate impactful research, develop strategic partnerships, and build regional capacity to address soil-related challenges in arid and saline environments.
 
 
 
 
 
 
 
 
 
 Job Responsibilities
 
 
 <ul>
 <li>
 Secure external funding through proposal development and strategic donor engagement and national priorities, ensuring alignment with ICBA&rsquo;s research priorities and regional impact goals
 </li>
 <li>
 Evaluate land suitability for agricultural production and identify soil degradation risks associated with salinization, groundwater depletion, land-use change, and climate variability, in collaboration with water and crop scientists
 </li>
 <li>
 Lead the development of innovative soil management systems tailored to saline and degraded environments, enhancing soil fertility and soil health to support sustainable biosaline agriculture
 </li>
 <li>
 Design and implement soil amendment, restoration solutions, and Integrated Soil Fertility Management (ISFM) to improve physical, chemical, and biological soil properties under saline and arid conditions
 </li>
 <li>
 Conduct and oversee soil classification and mapping using advanced techniques, supporting land evaluation and soil suitability analyses for climate-resilient, salt-tolerant crops, and halophytes
 </li>
 <li>
 Assess and optimize soil-water-plant interactions, with emphasis on nutrient cycling, salinity dynamics, and water-use efficiency in salt-affected and arid soils
 </li>
 <li>
 Utilize GIS, remote sensing, and spatial analysis tools for soil and land use mapping, contributing to regional land degradation assessments and climate-resilient land use planning
 </li>
 <li>
 Develop and manage interdisciplinary R&amp;D projects aligned with ICBA&rsquo;s strategic focus areas, including soil reclamation, biosaline agriculture, and climate-smart land management
 </li>
 <li>
 Disseminate research outcomes through high-impact scientific publications and technical reports, contributing to global knowledge on sustainable soil use in saline and arid environments
 </li>
 <li>
 Build and sustain partnerships with national, regional, and international research institutions, fostering knowledge exchange and collaborative innovation in soil and land resource management
 </li>
 <li>
 Design and deliver capacity development initiatives, including training, workshops, and field-based demonstrations for scientists, extension agents, and decision-makers in soil health and biosaline agriculture
 </li>
 <li>
 Mentor researchers, technicians, and field teams, ensuring the application of rigorous field protocols and laboratory procedures in soil science
 </li>
 <li>
 Manage the soil and water laboratory at ICBA to comply with international accreditation
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Qualifications and Experience
 
 
 
 
 
 Essential
 
 
 
 <ul>
 <li>
 PhD in soil sciences, soil health, and soil fertility management, or related field
 </li>
 <li>
 At least 10 years of post-PhD experience in soil management research; preferably with regional or international research experience
 </li>
 <li>
 Sound knowledge of methods and approaches for spatial analysis and assessment, as well as associated tools (GIS, remote sensing, statistics)
 </li>
 <li>
 Strong publication record in peer-reviewed journals
 </li>
 <li>
 Experience working in Soil Laboratory Analysis
 </li>
 <li>
 Proven success in obtaining research grant funding from international donors and effective project management
 </li>
 <li>
 Proven capacity to manage multidisciplinary and international research teams and projects
 </li>
 <li>
 Effective communication skills, with an emphasis on presenting and disseminating research information
 </li>
 <li>
 Fluency in written and spoken English
 </li>
 <li>
 Knowledge of Arabic and/or Fren
 
 ch (Desirabl
 
 e)
 </li>
 </ul>
 
 
</div>

Senior Scientist – Soil Management

Jex Recruitment | Connecting top talent with leading companies

<div>
 
 
 Data Scientist &ndash; Credit Risk (Financial Services)
 
 
 
 Dubai (Hybrid)
 
 
 
 
 
 We&rsquo;re working with a leading financial services organisation in Dubai looking to hire a
 
 Data Scientist
 
 focused on
 
 credit risk modelling and portfolio analytics
 
 .
 
 
 
 
 
 
 
 
 💡
 
 What you&rsquo;ll be doing
 
 
 
 &bull; Build and enhance credit risk models across retail or corporate portfolios
 
 
 &bull; Analyse large financial datasets to identify risk trends, portfolio performance, and early warning signals
 
 
 &bull; Support IFRS9 provisioning, stress testing, and capital modelling initiatives
 
 
 &bull; Work with structured and alternative datasets to improve segmentation and predictive insight
 
 
 &bull; Monitor portfolio health and deliver dashboards/reporting to key stakeholders
 
 
 &bull; Collaborate with risk, underwriting, and product teams to translate insights into actionable credit strategies
 
 
 &bull; Contribute to documentation, governance, and regulatory compliance of models
 
 
 
 
 
 ✅
 
 What we&rsquo;re looking for
 
 
 
 &bull; Experience within banking, fintech, or lending environments in a Data Science / Credit Risk Analytics capacity
 
 
 &bull; Hands-on
 
 model development experience
 
 across credit risk or lending models (PD, LGD, EAD, application or behavioural scorecards)
 
 
 &bull; Strong statistical background (logistic regression, decision trees, GBM, segmentation, survival analysis)
 
 
 &bull; Proficiency with Python or SAS plus SQL for data extraction and analysis
 
 
 &bull; Good understanding of the credit lifecycle and model monitoring / recalibration concepts
 
 
 &bull; Familiarity with IFRS9, Basel, stress testing, or model governance frameworks is highly desirable
 
 
 &bull; Ability to communicate insights clearly to non-technical stakeholders
 
 
 
</div>

Dataiku

<div>
 Dataiku is The Universal AI Platform&trade;, giving organizations control over their AI talent, processes, and technologies to unleash the creation of analytics, models, and agents. Providing no-, low-, and full-code capabilities, Dataiku meets teams where they are today, allowing them to begin building with AI using their existing skills and knowledge.
 
 
 The role of a Data Scientist at Dataiku is quite unique. Our Data Scientists not only code up solutions to real-world problems, but also participate in client-facing endeavours throughout the customer journey. This includes supporting their discovery of the platform, helping integrate Dataiku with other tools and technologies, some user training, and co-developing data science projects from design to deployment.
 
 
 Just as non-technical skills are important, so too are technical skills. Our Data Scientists work on the Dataiku platform every day. Aside from the visual tools, our team primarily uses Python and SQL, with occasional work in other languages (e.g., R, PySpark, JavaScript). An ideal candidate is excited to learn complex new technologies and modelling techniques while being able to explain their work to other data scientists and clients.
 
 
 
 In This Role, You'll Help The Team
 
 
 
 <ul>
 <li>
 Co-develop production-level data science projects with our customers
 </li>
 <li>
 Analyse and investigate various kinds of data and machine learning applications across industries and use cases
 </li>
 <li>
 Help users discover and master the Dataiku platform, via user trainings, office hours, and ongoing consultative support
 </li>
 <li>
 Provide data science expertise both to customers and internally to Dataiku&rsquo;s sales and marketing teams
 </li>
 <li>
 Develop custom Python-based &ldquo;plugins&rdquo; in collaboration with Solutions, R&amp;D, and Product teams, to enhance Dataiku&rsquo;s functionality
 
 
 </li>
 </ul>
 
 You might be a good fit for the role if you have:
 
 
 
 <ul>
 <li>
 English - fluent, Arabics - fluent/native will be a big plus
 </li>
 <li>
 Curiosity and a desire to learn new topics and skills
 </li>
 <li>
 Empathy for others and an eagerness to share your knowledge and expertise with your colleagues, Dataiku&rsquo;s customers, and the general public
 </li>
 <li>
 The ability to clearly explain complex topics to technical as well as non-technical audiences
 </li>
 <li>
 2 - 10 years of experience with Python and SQL
 </li>
 <li>
 2 - 10 years of experience with building ML models and using ML tools (e.g., sklearn)
 </li>
 <li>
 Familiarity with data visualisation in Python and R
 </li>
 <li>
 Understanding of underlying data systems such as Cloud architectures, Hadoop, or SQL
 
 
 </li>
 </ul>
 
 Technical Skills That May Help You In The Role
 
 
 
 <ul>
 <li>
 Experience with Consulting and/or Customer-facing Data Science roles
 </li>
 <li>
 Experience with Data Engineering or MLOps
 </li>
 <li>
 Experience developing WebApps in JavaScript, RShiny, or Dash
 </li>
 <li>
 Experience building APIs
 </li>
 <li>
 Experience using enterprise data science tools
 </li>
 <li>
 Passion for teaching or public speaking
 
 
 </li>
 </ul>
 
 What are you waiting for!
 
 
 
 At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! And if you&rsquo;d like to learn even more about working here, you can visit our Dataiku LinkedIn page.
 
 
 
 Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at:
 
 reasonable-accommodations@dataiku.com
 
 
 
 Protect yourself from fraudulent recruitment activity
 
 
 
 
 Dataiku will never ask you for payment of any type during the interview or hiring process. Other than our video-conference application, Zoom, we will also never ask you to make purchases or download third-party applications during the process. If you experience something out of the ordinary or suspect fraudulent activity, please review our page on identifying and reporting fraudulent activity here.
 
 
 
</div>

Gardensouq.com

Job Title: Senior Microbiologist &ndash; Landscaping Plant Location: Dubai Industry: Nursery / Agriculture / LandscapingWe are a well-established landscaping plant nursery and farm operation in Dubai, specializing in large-scale plant production and landscape supply. We are looking for an experienced Senior Microbiologist to lead soil, water, and plant microbiology programs.Key Responsibilities<ul><li>Conduct microbial analysis of soil, compost, water, and growing media</li><li>Identify beneficial and harmful microorganisms affecting plant health</li><li>Support plant disease diagnosis and biological control strategies</li><li>Develop soil biological improvement and biofertilizer programs</li><li>Establish and manage microbiological testing procedures</li><li>Culture, identify, and analyze microorganisms</li><li>Prepare reports and recommendations for nursery production</li></ul>Requirements<ul><li>Master&rsquo;s degree in Microbiology, Agricultural Microbiology, or Biotechnology (microbiology focus)</li><li>3&ndash;5 years&rsquo; experience in agricultural or environmental microbiology</li><li>Experience in nursery, greenhouse, or farm operations preferred</li><li>Strong knowledge of soil microbiology, composting, and biocontrol agents</li><li>GCC or arid-region agriculture experience is an advantage</li></ul>Skills<ul><li>Microbial culturing &amp; identification</li><li>Soil and compost microbiology</li><li>Biofertilizers &amp; biological disease control</li><li>Lab equipment handling and sterile techniques</li></ul>Work Environment<ul><li>Combination of laboratory, nursery, and farm fieldwork</li><li>Indoor and outdoor work required</li></ul>Additional<ul><li>UAE driving license preferred</li><li>Willing to travel between sites</li><li>Physically fit for sampling and inspections</li></ul>Interested candidates may apply with their updated CV in Indeed or email in christyxalxogzn@gmail.comJob Type: Full-time

SENIOR MICROBIOLOGIST

<div>Envision Employment Solutions is currently hiring a Lead Data Scientist for one of our partners, a global leader in IT Services and IT Consulting.
Job Summary:
We are seeking a visionary AI leader to drive enterprise-scale AI strategy, architecture, and delivery. This role requires deep expertise in large language models (LLMs), AI governance, and production-grade ML platforms, combined with strong leadership and executive communication capabilities.
The ideal candidate has extensive experience building and scaling enterprise AI ecosystems and leading multidisciplinary teams across complex environments.
Responsibilities:
Strategic AI Leadership<ul><li>
Define and drive AI roadmaps aligned with corporate strategy</li><li>
Oversee the full model lifecycle from research and experimentation to production deployment</li><li>
Ensure measurable ROI and business impact from AI initiatives</li></ul>
LLM &amp; NLP Architecture (Enterprise Level)<ul><li>
Design LLM ecosystems including RAG pipelines, orchestration layers, and fine-tuning strategies</li><li>
Lead domain-specific model fine-tuning and pretraining using proprietary datasets</li><li>
Integrate platforms such as Azure OpenAI, AWS Bedrock, Anthropic Claude, and Google Vertex AI</li><li>
Define governance, compliance, and security frameworks for LLM deployments</li><li>
Establish evaluation standards for hallucination rate, factual accuracy, bias, and toxicity</li></ul>
Infrastructure &amp; Governance<ul><li>
Own data governance policies and feature store strategy</li><li>
Lead model observability, monitoring, and drift management frameworks</li><li>
Partner with DevOps and Security to ensure scalability, resilience, and compliance</li></ul>
Team &amp; Stakeholder Leadership<ul><li>
Build and lead multidisciplinary AI teams including Data Scientists, ML Engineers, and Data Engineers</li><li>
Mentor senior scientists and define research best practices</li><li>
Communicate directly with executive leadership and non-technical stakeholders</li><li>
Evaluate AI vendors and technology partnerships</li></ul> 

Requirements 
Qualifications:<ul><li>
Master&rsquo;s or PhD in AI, Machine Learning, Computer Engineering, or Applied Math or a related field</li><li>
Minimum 7 years of overall professional experience</li><li>
At least 2+ years in AI/ML leadership roles</li><li>
Proven ability to build and scale enterprise-level AI/LLM platforms.</li></ul>
Leadership Competencies<ul><li>
Visionary mindset driving innovation across business units.</li><li>
Excellent executive communication and influence skills.</li><li>
Focused on measurable ROI, scalability, and ethical AI.</li><li>
Mentors senior scientists, defining best practices and research direction.</li></ul> 

Benefits 
Benefits &amp; Work Setup<ul><li>
Basic salary</li><li>
Family Medical Insurance</li><li>
Round-trip family flight tickets once per year</li><li>
Visa coverage</li><li>
Location: Dubai</li><li>
Work Model: Hybrid &ndash; 2 days in the office and 3 days remote. If assigned to a project, you may be required to work from the client&rsquo;s premises on a daily basis, depending on the project requirements.</li><li>
Working Hours: 9 AM to 6 PM</li><li>
Days Off: Saturdays and Sundays</li></ul></div>

Lead Data Scientist

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Senior Data Scientist

Senior Scientist – Soil Management

Senior Data Scientist

Senior Data Scientist

SENIOR MICROBIOLOGIST

Lead Data Scientist

Senior Scientist – Soil Management